Publications

Recent:

• Tyler Osborne, Tauhid Mahmud, Xia Zheng, Sai Jampala, Sadia Abbasi, Stephanie Hong, Kimberly Kranz, Susan Lee, Patricia Ng, Kerim Odekon, Lindsey Schachter, Robert Sexton, Tracey Spinnato, Mathew Tharakan, Zhi Wu, Fusheng Wang* and Rachel Wong*: Clinician-centered evaluation of large language model-generated discharge summaries for longer hospitalizations. npj Digital Medicine (2026)(*: corresponding authors).
• Zihan Ding, Yinan Liu, Tengfei Ma, Rachel Wong, Xia Zheng, Richard N. Rosenthal and Fusheng Wang: A Comparative Study of Feature Selection Methods for EHR Diagnosis Codes in Opioid Use Disorder Prediction. To Appear in Proceedings of AMIA Annual Symposium 2026. November 7–11, 2026, Dallas, Texas.
• Grace Y. Han, Andreas P. Kalogeropoulos, Zach Butzin-Dozier, Rachel Wong* and Fusheng Wang*: Causal Machine Learning for Comparative Effectiveness of GLP-1 RA versus SGLT2i in Heart Failure Using Real-World EHR Data. To Appear in Proceedings of AMIA Annual Symposium 2026. November 7–11, 2026, Dallas, Texas.
• Liang Geng, Zhehu Yuan, Rubao Lee, Fusheng Wang and Xiaodong Zhang: X-HD: Fast Hausdorff Distance Computation with Ray Tracing. To Appear in Proceedings of ACM International Conference on Supercomputing 2026. July 6-9, 2026, Belfast, Northern Ireland, United Kingdom.
• Chunjie Zhou, Chunhui He, Jianping Lin, Ji-Huan He, Pengfei Dai and Fusheng Wang: Early detection of heart failure using trend similarity metrics combined with hybrid deep learning based on real-world health monitoring data. Journal of The Royal Society Interface. 23(237), 20250997 (2026).
• Andreas Bueckle, Bruce Herr II, Lu Chen, Daniel Bolin, Danial Qaurooni, Michael Ginda, Yashvardhan Jain, Aleix Puig-Barbe, Kristin Ardlie, Fusheng Wang and Katy Börner: Cell type populations for 3D anatomical structures of the Human Reference Atlas. Nature Scientific Data. 13, 716 (2026).
• Tyler Osborne, Sadia Abbasi, Stephanie Hong, Robert Sexton, Jonathan Ambut, Neil J. Patel, Richard N. Rosenthal, Lyncean Ung, Fusheng Wang, Rachel Wong: Towards Inpatient Discharge Summary Automation via Large Language Models: A Multidimensional Evaluation with a HIPAA-Compliant Instance of GPT-4o and Clinical Expert Assessment. In Proceedings of AMIA 2025 Annual Symposium. November 15 - 19, 2025, Atlanta, GA.
• Zihan Ding, Xinyu Dong, Yinan Liu, Tengfei Ma, Xia Zhao, Rachel Wong, Richard N. Rosenthal and Fusheng Wang: HIBERT: A Hybrid Clustering BERT for Interpretable Opioid Overdose Risk Prediction. In Proceedings of AMIA 2025 Annual Symposium. November 15 - 19, 2025, Atlanta, GA.
• Zihan Ding, Jianyuan Deng, Linda Mermelstein, Barbara Nemesure, Tyler Osborne and Fusheng Wang: Demographic disparities, temporal trends, and geographic patterns of HPV vaccination on Long Island, New York: A comprehensive analysis of immunization registry data (2012–2023). Human Vaccines & Immunotherapeutics. 2025, VOL. 21, NO. 1, 2487383.
• The HRA Team: Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas Construction and Usage. Nature Methods. March 13, 2025.
• Dejun Teng, Zhaochuan Li, Zhaohui Peng, Shuai Ma, Fusheng Wang: Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 37, no. 5, pp. 2472-2487, May 2025.
• Zhuohan Xu, Dejun Teng, Zhaohui Peng and Fusheng Wang: Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial Join. In Proceedings of the 2024 IEEE International Conference on BigData (IEEE BigData 2024). Decmeber 15-18, 2024, Washington DC, USA.
• Sophia Lin, Xinyu Dong and Fusheng Wang: FRISTS: High-Performing Interpretable Medical Prediction. In Proceedings of the 2024 IEEE International Conference on BigData (IEEE BigData 2024). Decmeber 15-18, 2024, Washington DC, USA.
• Chunjie Zhou, Pengfei Dai, Xin Huang, Fusheng Wang: Intelligent Route Planning Recommendation for Electric Bus Transport. International Journal of Intelligent Systems, 2024, 5947433.
• Zhan Shi, Jingwei Zhang, Jun Kong and Fusheng Wang: Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification. In Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). October 6-10, 2024, Marrakesh, Morocco.
• Fusheng Wang, Rubao Lee, Dejun Teng, Xiaodong Zhang and Joel Saltz: High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now. Proceedings of the VLDB Endowment, Vol. 17, No. 12, 2024.
• Chunjie Zhou, Pengfei Dai, Aihua Hou, Zhenxing Zhang, Li Liu, Ali Li and Fusheng Wang: A comprehensive review of deep learning-based models for heart disease prediction. Artificial Intelligence Review. Volume 57, article number 263, (2024).
• Weimin Lyu, Zexin Bi, Fusheng Wang and Chao Chen: Unveiling the Vulnerabilities of In-Hospital Mortality Prediction Models to Backdoor Attacks. In Proceedings of AMIA 2024 Annual Symposium. November 9 - 13, 2024. San Francisco, USA.
• Yifan Qi, Fusheng Wang, Jun Kong, Jane J Cao, Yu Yulee Li: SwinUNet: a multiscale feature learning approach to cardiovascular magnetic resonance parametric mapping for myocardial tissue characterization. Physiological Measurement, Volume 45(3), 2024.
• Yinan Liu, Xinyu Dong, Weimin Lyu, Richard N. Rosenthal, Rachel Wong, Tengfei Ma, Jun Kong and Fusheng Wang: Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. In Proceedings of AMIA 2024 Informatics Summit. March 16 - March 24, 2024. Boston, MA, USA.
• Dejun Teng, Furqan Baig, Zhaohui Peng, Jun Kong and Fusheng Wang: Efficient spatial queries over complex polygons with hybrid representations. Geoinformatica 28, 459–497 (2024).
• Jianyuan Deng, Zhibo Yang, Hehe Wang, Iwao Ojima, Dimitris Samaras and Fusheng Wang: A systematic study of key elements underlying molecular property prediction. Nature Communications. 14, 6395 (2023).
• Shichao Du, Jie Yao, Gordon C. Shen, Betty Lin, Tomoko Udo, Julia Hastings, Fei Wang, Fusheng Wang, Zhe Zhang, Xinyue Ye and Kai Zhang: Social Drivers of Mental Health: A U.S. Study Using Machine Learning. American Journal of Preventive Medicine. Volume 65, Issue 5, 2023, Pages 827-834.
• Jain, S., Pei, L., Spraggins, J.M. et al.: Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP). Nature Cell Biology. Vol. 25, 1089–1100 (2023).
• Mousumi Roy, Fusheng Wang, George Teodoro, Shristi Bhattarai, Mahak Bhargava, T Subbanna Rekha, Ritu Aneja and Jun Kong: Deep Learning Based Registration of Serial Whole-slide Histopathology Images in Different Stains. Volume 14, 2023. 100311. Journal of Pathology Informatics.
• Hanyi Yu, Fusheng Wang, George Teodoro, Fan Chen, Xiaoyuan Guo, John Nickerson and Jun Kong: Self-supervised semantic segmentation of retinal pigment epithelium cells in flatmount fluorescent microscopy images. Bioinformatics. Volume 39, Issue 4, April 2023, btad191.
• Wenzhe Cui*, Rui Liu*, Zhi Li, Yifan Wang, Andrew Wang, Xia Zhao, Sina Rashidian, Furqan Baig, IV Ramakrishnan, Fusheng Wang, Xiaojun Bi: GlanceWriter: Writing Text by Glancing Over Letters. In Proceedings of CHI 2023 - the SIGCHI Conference on Human Factors in Computing Systems (*: Co-First authors ordered alphabetically). April 23-28, 2023, Hamburg, Germany. Presentation Video.
• Bruce W. Herr II, Josef Hardi, Ellen M. Quardokus, Andreas Bueckle, Lu Chen, Fusheng Wang, Anita R. Caron, David Osumi-Sutherland, Mark A. Musen and Katy Börner: Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas. Scientific Data 10, 171 (2023).
• Justice U Achonu, Ki Oh, Joshua Shaw, Sina Rashidian, Fusheng Wang, David E Komatsu, James Barsi: Epidemiologic patterns of adolescent idiopathic scoliosis detection and treatment in new york state. Scientific Data 10, 171 (2023).Journal of Pediatric Orthopaedics B ():10.1097/BPB.0000000000001066, February 24, 2023.
• Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Jianyuan Deng, Yinan Liu, Janos G. Hajagos, Richard N. Rosenthal, Chao Chen and Fusheng Wang: An Integrated LSTM-HeteroRGNN Model for Interpretable Opioid Overdose Risk Prediction. Artificial Intelligence in Medicine. Volume 135, January 2023.
• Hongxiao Li, Jigang Wang, Zaibo Li, Melad Dababneh, Fusheng Wang, Peng Zhao, Geoffrey H Smith, George Teodoro, Meijie Li, Jun Kong and Xiaoxian Li: Deep Learning-Based Pathology Image Analysis Enhances Magee Feature Correlation With Oncotype DX Breast Recurrence Score. Frontiers in Medicine. 2022 Jun 14;9:886763.
• Yongsen Tan, Jiahui Huang, Jinhu Zhuang, Yong Liu, Haofan Huang, Xiaxia Yu and Fusheng Wang: Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations. In Proceedings of IEEE International Conference on Bioinformatics and Biomedicine 2022 (IEEE BIBM 2022), December 6-8, 2022, Las Vegas, NV, USA and Changsha, China.
• Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Zhan Shi, Fusheng Wang, George Teodoro, Keerthi Gogineni, Preeti Subhedar, Umay Kiraz, Emiel A M Janssen, Ritu Aneja and Jun Kong: A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images . Bioinformatics, Volume 38, Issue 19, October 2022, Pages 4605–4612.
• Lu Chen, Dejun Teng, Tian Zhu, Jun Kong, Bruce W. Herr II, Andreas Bueckle, Katy Borner and Fusheng Wang: Real-Time Spatial Registration for 3D Human Atlas. In Proceedings of BigSpatial 2022 (co-located with SIGSPATIAL 2022), November 1, 2022, Seattle, Washington, USA.
• Furqan Baig, Pradeep Nalluri, Dejun Teng, Jun Kong and Fusheng Wang: SPEAR-Board: Cross-Platform Interactive Spatio-Temporal Big Data Analytics (Demo Paper). In Proceedings of the 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022). November 1-4, 2022 Seattle, USA.
• Yifan Qi, Fusheng Wang, Jane J. Cao and Yulee Li: A Deep Learning Approach to Ventricular Volumetric Measurements without Image Reconstruction for Cardiovascular Magnetic Resonance. Physiological Measurement. 2022 Oct 6;43(10).
• Hanyi Yu, Nima Sharifai, Kun Jiang, Fusheng Wang, George Teodoro, Alton B. Farris and Jun Kong: Artificial Intelligence based Liver Portal Tract Region Identification and Quantification with Transplant Biopsy Whole-Slide Images. Computers in Biology and Medicine. Volume 150, 2022.
• Alice Shen, Fusheng Wang, Saptarshi Paul, Divya Bhuvanapalli, Jacob Alayof, Alton B. Farris, George Teodoro, Daniel J. Brat and Jun Kong: An integrative web-based software tool for multi-dimensional pathology whole-slide image analytics. Physics in Medicine and Biology. Volume 67, Number 22.
• Weimin Lyu,Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell Hart, Fusheng Wang and Chao Chen: A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. In Proceedings of AMIA Annual Symposium. November 5 - 9, 2022, Washington, DC, USA.
• Qiang Li, Fusheng Wang, Yaobing Chen, Hao Chen, Shengdi Wu, Alton B. Farris, Yi Jiang and Jun Kong: Virtual liver needle biopsy from reconstructed three-dimensional histopathological images: Quantification of sampling error. Computers in Biology and Medicine. Volume 147, 2022.
• Hanyi Yu, Fusheng Wang, George Theodoro, John Nickerson and Jun Kong: MultiHeadGAN: A Deep Learning Method for Low Contrast Retinal Pigment Epithelium Cell Segmentation with Fluorescent Flatmount Microscopy Images. Computers in Biology and Medicine. Volume 146, 2022.
• Zhi Li, Maozheng Zhao, Dibyendu Das, Hang Zhao, Yan Ma, Wanyu Liu, Michel Beaudouin-Lafon, Fusheng Wang, IV Ramakrishnan and Xiaojun Bi: Select or Suggest? Reinforcement Learning-based Method for High-Accuracy Target Selection on Touchscreens. In Proceedings of ACM CHI Conference on Human Factors in Computing Systems 2022 (CHI 2022). Apr 30 – May 6, New Orleans, USA.
• Kayley Abell-Hart, Sina Rashidian, Dejun Teng, Richard N Rosenthal and Fusheng Wang: Where Opioid Overdose Patients Live Far From Treatment: Geospatial Analysis of Underserved Populations in New York State. JMIR Public Health and Surveillance. 2022;8(4):e32133
• Dejun Teng, Furqan Baig, Vo Hoang, Yanhui Liang, Jun Kong and Fusheng Wang: 3DPro: Querying Complex Three-Dimensional Data with Progressive Compression and Refinement. In Proceedings of the 25th International Conference on Extending Database Technology (EDBT 2022). March 29-April 1, 2022. Edinburgh, UK.
• Maozheng Zhao, Henry Huang, Zhi Li, Rui Liu, Wenzhe Cui, Kajal Toshniwal, Ananya Goel, Andrew Wang, Xia Zhao, Sina Rashidian, Furqan Baig, Khiem Phil, Shumin Zhai, IV Ramkakrishnan, Fusheng Wang, Xiaojun Bi: EyeSayCorrect: Eye Gaze and Voice Based Hands-free Text Correction for Mobile Devices. In Proceedings of the 27th Annual Conference on Intelligent User Interfaces (IUI 2022). March 22-25, 2022, Helsinki, Finland.
• Dejun Teng, Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: Efficient 3D Spatial Queries for Complex Objects. ACM Transactions on Spatial Algorithms and Systems (TSAS). Volume 8, Issue 2, June 2022, pp 1–26.
• Jianyuan Deng, Zhibo Yang, Iwao Ojima, Dimitris Samaras and Fusheng Wang: Artificial Intelligence in Drug Discovery: Applications and Techniques. Briefings in Bioinformatics. Volume 23, Issue 1, January 2022, bbab430. arXiv version.
• Siao Sun, Fusheng Wang, Sina Rashidian, Tahsin Kurc, Kayley Abell-Hart, Janos Hajagos, Wei Zhu, Mary Saltz and Joel Saltz: Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks. In Proceedings of the 7th International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021). August 20, 2021.
• Yu Wang, Ziqiao Guan, Wei Hou and Fusheng Wang: TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding. In Proceedings of the 7th International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021). August 20, 2021.
• Fiona Murphy, Kayley Abell-Hart and Fusheng Wang: A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State. IEEE BigData 2021 REU Symposium. December 15, 2021.
• Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong and Fusheng Wang: GPU-based Real-time Contact Tracing at Scale. In Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021), November 2-5, 2021, Beijing, China.
• Hongyi Duanmu, Shristi Bhattarai, Hongxiao Li, Chia Cheng Cheng, Fusheng Wang, George Teodoro, Emiel A.M. Janssen, Keerthi Gogineni, Preeti Subhedar, Ritu Aneja, Jun Kong: Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains. The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). September 27, November 1, 2021. Strasbourg, France.
• Zhi Li, Maozheng Zhao, Yifan Wang, Sina Rashidian, Furqan Baig, Rui Liu, Wanyu Liu, Michel Beaudouin-Lafon, Brooke Ellison, Fusheng Wang, IV Ramakrishnan and Xiaojun Bi: BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection. In Proceedings of Graphics Interface Conference. May 27 – 28, 2021. Vancouver, British Columbia, Canada.
• Hongyi Duanmu, Fusheng Wang, George Teodoro and Jun Kong: Foveal Blur-Boosted Segmentation of Nuclei in Histopathology Images with Shape Prior Knowledge and Probability Map Constraints. Bioinformatics. Volume 37, Issue 21, 1 November 2021.
• Jianyuan Deng, Wei Hou, Xinyu Dong, Janos Hajagos, Mary Saltz, Joel Saltz and Fusheng Wang: A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids. Drugs - Real World Outcomes 8, pages393–406 (2021).
• Dejun Teng, Furqan Baig, Qiheng Sun, Jun Kong and Fusheng Wang: IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons. In Proceedings of the 22nd IEEE International Conference on Mobile Data Management. June 15 - June 18, 2021.
• Hongxiao Li, Hanyi Yu, Yong-Kyu Kim, Fusheng Wang, George Teodoro, Yi Jiang, John M. Nickerson and Jun Kong: Computational Model-Based Estimation of Mouse Eyeball Structure From Two-Dimensional Flatmount Microscopy Images. Translational Vision Science and Technology. April 2021, Vol.10, 25.
• Xinyu Dong, Jianyuan Deng, Sina Rashidian, Kayley Abell-Hart, Wei Hou, Richard N Rosenthal, Mary Saltz, Joel H Saltz and Fusheng Wang: Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning. Journal of the American Medical Informatics Association (JAMIA). Volume 28, Issue 8, August 2021, Pages 1683–1693.
• Xinyu Dong, Jianyuan Deng, Wei Hou, Sina Rashidian, Kayley Abell-Hart, Richard N Rosenthal, Mary Saltz, Joel H Saltz and Fusheng Wang: Predicting Opioid Overdose Risk of Patients with Opioid Prescriptions Using Electronic Health Records Based on Temporal Deep Learning. Journal of Biomedical Informatics. 2021 Mar 9;116:103725.
• Anthony Xiang, Wei Hou, Sina Rashidian, Richard N Rosenthal, Kayley Abell-Hart, Xia Zhao and Fusheng Wang: Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: A Cross-Sectional Study in New York State at Census Tract Level. JMIR Public Health Surveill 2021;7(4):e23426
• Hongxiao Li, Hanyi Yu, Yong-Kyu Kim, Fusheng Wang, George Teodoro, Yi Jiang, John Nickerson, and Jun Kong: Three-Dimensional Mouse Eyeball Spherical Reconstruction from Two-Dimension Flat-Mount Microscopy Images. Translational Vision Science and Technology. April 2021, Vol.10, 25.
• Xin Chen, Wei Hou, Sina Rashidian, Yu Wang, Xia Zhao, George Stuart Leibowitz, Richard N Rosenthal, Mary Saltz, Joel H Saltz, Elinor Randi Schoenfeld and Fusheng Wang: A Large-Scale Retrospective Study of Opioid Poisoning in New York State with Implications for Targeted Interventions. Scientific Reports 11, 5152 (2021).
• Pangpang Liu, Fusheng Wang, George Teodoro, Jun Kong: Histopathology Image Registration by Integrated Texture and Spatial Proximity based Landmark Selection and Modification. In Proceedings of the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), April 13-16, 2021.
• Aurelie Akossi, Fusheng Wang, George Teodoro, Jun Kong: Image Registration with Optimal Regularization Parameter Selection by Learned Auto Encoder Features. In Proceedings of the 2021 IEEE International Symposium on Biomedical Imaging (ISBI 2021), April 13-16, 2021.
• Furqan Baig, Dejun Teng, Jun Kong and Fusheng Wang: SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. In Proceedings of the 37th IEEE International Conference on Data Engineering, Apr 19-22, 2021, Chania, Greece.
• Mousumi Roy, Jun Kong, Satyananda Kashyap, Vito Paolo Pastore, Fusheng Wang, Ken C. L. Wong and Vandana Mukherjee:Convolutional Autoencoder Based Model HistoCAE for Segmentation of Viable Tumor Regions in Liver Whole-Slide Images. Scientific Reports. Sci Rep 11, 139 (2021).
• Sina Rashidian, Kayley Abell-Hart, Janos Hajagos, Richard Moffitt, Veena Lingam, Victor Garcia, Chao-Wei Tsai, Fusheng Wang, Xinyu Dong, Siao Sun, Jianyuan Deng, Rajarsi Gupta, Joshua, Miller, Joel Saltz, Mary Saltz: Detecting Miscoded Diabetes Diagnosis Codes in EHR for Quality Improvement: A Temporal Deep Learning Approach. Journal of Medical Internet Research - Medical Informatics. Vol 8, No 12 (2020): December.
• Hannah Yao, Sina Rashidian, Xinyu Dong, Hongyi Duanmu, Richard Rosenthal and Fusheng Wang: Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach. Journal of Medical Internet Research. Vol 22, No 11 (2020): November.
• Sina Rashidian, Fusheng Wang, Richard Moffitt, Victor Garcia, Anurag Dutt, Wei Chang, Vishwam Pandya, Janos Hajagos, Mary Saltz and Joel Saltz: SmoothGAN: Towards Sharp and Smooth Synthetic EHR Data Generation. In Proceedings of 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020).
• Mousumi Roy, Fusheng Wang*, Hoang Vo, Dejun Teng, George Teodoro, Alton Farris III, Eduardo Castillo-Leon, Miriam Vos and Jun Kong*: Deep Learning Based Accurate Hepatic Steatosis Quantification for Histological Assessment of Liver Biopsies. Laboratory Investigation. 100, 1367–1383 (2020). (*: Corresponding authors.)
• Hongyi Duanmu, Pauline Boning Huang, Srinidhi Brahmavar, Stephanie Lin, Thomas Ren, Jun Kong, Fusheng Wang* and Tim Duong*: Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Deep Learning with Integrative Imaging, Molecular and Demographic Data. In Proceedings of Medical Image Computing and Computer Assisted Interventions 2020 (MICCAI 2020), October 4 - 8, 2020, Lima, Peru. (*: Corresponding authors.)
• Alevtina Dubovitskaya, Furqan Baig, Zhigang Xu, Rohit Shukla, Pratik Sushil Zambani, Arun Swaminathan, Md Majid Jahangir, Khadija Chowdhry, Rahul Lachhani, Nitesh Idnani, Michael Schumacher, Karl Aberer, Scott Stoller, Samuel Ryu and Fusheng Wang: ACTION-EHR: Patient-Centric Blockchain-Based EHR Data Management for Cancer Care. Journal of Medical Internet Research. 2020;22(8):e13598
• Chunjie Zhou, Ali Li, Aihua Hou, Zhiwang Zhang, Zhenxing Zhang, Pengfei Dai and Fusheng Wang: Modeling Methodology for Early Warning of Chronic Heart Failure Based on Real Medical Big Data. Expert Systems with Applications, Volume 151, 1 August 2020.
• Furqan Baig, Chao Gao, Dejun Teng, Jun Kong and Fusheng Wang: Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform with CUDA and OpenACC. Frontiers in Big Data. Vol 3, 2020.
• Thomas Ren, Renee Cattell, Hongyi Duanmu, Pauline Huang, Haifang Li, Rami Vanguri, Michael Z. Liu, Sachin Jambawalikar, Richard Ha, Fusheng Wang, Jules Cohen, Clifford Bernstein, Lev Bangiyev and Timothy Q. Duong: Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI. Clinical Breast Cancer. VOLUME 20, ISSUE 3, E301-E308, June 01, 2020.
• Hongyi Duanmu, Jinkoo Kim, Praitayini Kanakaraj, Andrew Wang, John Joshua, Jun Kong and Fusheng Wang: Automatic Brain Organ Segmentation with 3D Fully Convolutional Neural Network for Radiation Therapy Treatment Planning. In Proceedings of 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). Apr 2-7, 2020, Iowa City, Iowa, USA.
• Jianyuan Deng and Fusheng Wang: An Informatics-based Approach to Identify Key Pharmacological Components in Drug-Drug Interactions. In Proceedings of AMIA Informatics Summit, March 23 – March 26, 2020, Houston, TX, USA.
• Geoffrey Fox, Judy Qiu, David Crandall, Gregor Von Laszewski, Oliver Beckstein, John Paden, Ioannis Paraskevakos, Shantenu Jha, Fusheng Wang, Madhav Marathe, Anil Vullikanti, Thomas Cheatham: Contributions to High-Performance Big Data Computing. Book Chapter. Future Trends of HPC in a Disruptive Scenario. IOS Press. Pages34 - 81. Vol 34, 2019.
• Alevtina Dubovitskaya, Petr Novotny, Zhigang Xu and Fusheng Wang: Applications of Blockchain Technology for Data-Sharing in Oncology: Results from Systematic Literature Review. Oncology: International Journal of Cancer Research and Treatment. Pages 1-9. 2019.
• Xinyu Dong, Sina Rashidian, Yu Wang, Janos Hajagos, Mary Saltz, Joel Saltz and Fusheng Wang: Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. In Proceedings of AMIA Annual Symposium 2019, November 16-20, Washington DC, USA.
• Alevtina Dubovitskaya, Petr Novotny, Scott Thiebes, Ali Sunyaev, Michael Schumacher, Zhigang Xu and Fusheng Wang: Intelligent Health Care Data Management Using Blockchain: Current Limitation and Future Research Agenda. In Proceedings of the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019). August 30, 2019, Los Angles, CA, USA.
• Elinor Schoenfeld, George Leibowitz, Yu Wang, Xin Chen, Wei Hou, Sina Rashidian, Mary M Saltz, Joel H Saltz, and Fusheng Wang: Geographic, temporal and sociodemographic differences in opioid poisoning. American Journal of Preventive Medicine. Volume 57, Issue 2, Pages 153–164. 2019.
• Furqan Baig and Fusheng Wang: Blockchain Enabled Distributed Data Management: a Vision. In Proceedings of the First International Workshop on Blockchain and Data Management (Co-located with ICDE 2019). Apr 8, 2019, Macau SAR, China.
• Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Mousumi Roy, Daniel Brat and Jun Kong: Effective nuclei segmentation with sparse shape prior and dynamic occlusion constraint for glioblastoma pathology images. Journal of Medical Imaging. 6(1), 017502 (2019).
• Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton Farris and Jun Kong: Liver Steatosis Segmentation with Deep Learning Methods. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI) , pp. 24-27Venice, Italy, April 8 - 11, 2019.
• Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz: Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy. In Proceedings of AMIA 2019 Informatics Summit. March 25-28, 2019, San Francisco, California, USA.
• Daniel Kim, Wei Hou, Fusheng Wang and Chrisa Arcan: Factors Affecting Obesity and Waist Circumference Among US Adults. Preventing Chronic Disease. Vol 16, 2019.
• Sina Rashidian, Janos Hajagos, Richard A. Moffitt, Fusheng Wang, Xinyu Dong, Kayley Abell-Hart, Kimberly M. Noel, Rajarsi R. Gupta, Mathew A. Tharakan, Joel H. Saltz, Mary M. Saltz: Disease phenotyping using deep learning: A diabetes case study. In Proceedings of NIPS 2018 Workshop on Machine Learning for Health (NIPS ML4H 2018). December 8, 2018, Montreal, Canada.
• Chao Gao, Furqan Baig, Hoang Vo, Yangyang Zhu and Fusheng Wang: Accelerating Cross-Matching Operations of Geospatial Datasets using a CPU/GPU Hybrid Platform. In Proceedings of the 3rd International Workshop on Big Spatial Data (in conjunction with IEEE Big Data 2018). December 10-13, 2018, Seattle, Washington, USA. (Best paper award.)
• Daniel Kim, Fusheng Wang and Chrisa Arcan: Geographic Association Between Income Inequality and Obesity Among Adults in New York State. Preventing Chronic Disease. Vol 15:180217, 2018.
• Sina Rashidian, Xinyu Dong, Shubham Kumar Jain and Fusheng Wang: EaserGeocoder: Integrative Geocoding with Machine Learning. Demo Paper. In Proceedings of ACM SIGSPATIAL 2018, November 6 - 9, 2018. Seattle, Washington, USA.
• Sheetal Mangesh Pandrekar, Xin Chen and Fusheng Wang: Social Media Based Analysis of Opioid Epidemic Using Reddit. In Proceedings of AMIA 2018 Annual Symposium. San Francisco, November 3-7, 2018.
• Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro and Fusheng Wang: MaReIA: A Cloud MapReduce Based High Performance Whole Slide Image Analysis Framework. Distributed and Parallel Databases. Special Issue on Data Management and Analytics for Healthcare. Volume 37 Issue 2, June 2019. Pages 251-272.
• Dejun Teng, Jun Kong and Fusheng Wang: Scalable and Flexible Management of Medical Image Big Data. Distributed and Parallel Databases. June 2019, Volume 37, Issue 2, pp 235–250.
• Xin Chen, Hoang Vo, Yu Wang and Fusheng Wang: A Framework for Annotating OpenStreetMap Objects Using Geo-tagged Tweets. Geoinformatica. Volume 22, Issue 3, pp 589–613, 2018.
• Pengyue Zhang, Fusheng Wang, Wei Xu, and Yulee Li: Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space. In Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018). September 16th to 20th, 2018, Granada, Spain.
• Pengyue Zhang, Fusheng Wang, Yefeng Zheng: Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. In Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018). September 16th to 20th, 2018, Granada, Spain.
• Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data. Demo Paper. In Proceedings of the 44th International Conference on Very Large Data Bases (VLDB 2018), August 27-31, 2018, Rio de Janeiro, Brazil.
• Raymund B. Dantes, Shuai Zheng, James J. Lu, Michele G. Beckman,Asha Krishnaswamy,Lisa C. Richardson, Sheri Chernetsky-Tejedor, and Fusheng Wang: Improved Identification of Venous Thromboembolism from Electronic Medical Records using a Novel Information Extraction Software Platform. Medical Care. Volume 56, Issue 9 - p e54–e60. September 2018.
• Mousumi Roy, Fusheng Wang, George Teodoro, Vos Miriam, Alton Farris and Jun Kong: Segmentation of Overlapped Steatosis in Whole-Slide Liver Histopathology Microscopy Images. In Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, July 17-21, 2018.
• Mousumi Roy, Fusheng Wang, George Teodoro, José E. Velázquez Vega, Daniel Brat and Jun Kong: Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images. I Proceedings of 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, July 17-21, 2018.
• Yu Wang, Wei Hou and Fusheng Wang: Mining Co-occurrence and Sequence Patterns from Cancer Diagnoses in New York State. PLOS One. 13(4):e0194407. 2018.
• Xiaobo Sun, Jingjing Gao, Peng Jin, Fusheng Wang*, Zhaohui Qin*: Optimized Distributed Systems Achieve Significant Performance Improvement on Sorted Merging of Massive VCF Files. GigaScience. Volume 7, Issue 6, 1 June 2018. (* these authors contributed equally)
• Shuai Zheng, Salma K. Jabbour, Shannon O’Reiley, James Lu, Lihua Dong, Lijuan Ding, Ying Xiao, Ning J. Yue, Fusheng Wang*, Wei Zou*: Automated Information Extraction on Treatment and Prognosis for Non-Small Cell Lung Cancer Radiotherapy Patients. Journal of Medical Internet Research - Medical Informatics. Vol 6, No 1 (2018). (* these authors contributed equally)
• Furqan Baig, Hoang Vo, Tahsin Kurc, Joel Saltz and Fusheng Wang: SparkGIS: Resource Aware Efficient In-Memory Spatial Query Processing. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
• Sina Rashidian, Xinyu Dong, Amogh Avadhani, Prachi Poddar and Fusheng Wang: Effective Scalable and Integrative Geocoding for Massive Address Datasets in Public Health Studies. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
• Yanhui Liang, Hoang Vo, Jun Kong and Fusheng Wang: iSPEED: an Efficient In-Memory Based Spatial Query System for Large-Scale 3D Data with Complex Structures. In Proceedings of SIGSPATIAL 2017. November 7 - 10, 2017, Redondo Beach, California, USA.
• Xiaobo Sun, Fusheng Wang and Zhaohui Qin: High Performance Merging of Massive Data from Genome-Wide Association Studies. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
• Yu Wang and Fusheng Wang: Association Rule Learning and Frequent Sequence Mining of Cancer Diagnoses in New York State. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
• Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Ignaz Schumacher and Fusheng Wang: How Blockchain could Empower eHealth: an Application for Radiation Oncology. In Proceedings of the Third VLDB Workshop on Data Management and Analytics on Healthcare and Medicine (DMAH 2017), September 1, 2017, Munich, Germany.
• Xin Chen, Yu Wang, Xiaxia Yu and Fusheng Wang: Large Scale Analysis of Opioid Poisoning Related Hospital Visits in New York State. In AMIA Annual Symposium, November 4-8, 2017, Washington DC, USA.
• Alevtina Dubovitskaya, Zhigang Xu, Samuel Ryu, Michael Schumacher and Fusheng Wang: Secure and Trustable Electronic Medical Records Sharing using Blockchain. In AMIA Annual Symposium, November 4-8, 2017, Washington DC, USA.
• Sheetal Mangesh Pandrekar, Manish Valakonda, Xin Chen and Fusheng Wang: Towards Spatial Analysis of Opioid Abuse Using Twitter. Poster Paper. In AMIA Annual Symposium, November 4-8, 2017, Washington DC, USA.
• S. K. Prasad, D. Aghajarian, Mi. McDermott, D. Shah, M. Mokbel, S. Puri, S. J. Rey, S. Shekhar, Y. Xe, R. R. Vatsavai, F. Wang, Y. Liang, H. Vo and S. Wang: Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. In Proceedings of IEEE BigData Congress. June 25 - June 30, 2017, Honolulu, Hawaii, USA.
• X. Sun, W. Pittard, T. Xu, Tianlei, M. Zwick, X. Jiang, F. Wang, and Z. Qin: OmicSeq: A web-based search engine for exploring omics datasets. Nuclei Acids Research, Volume 45, Issue W1, 3 July 2017, Pages W445–W452.
• Shuai Zheng, James J Lu, Nima Ghasemzadeh, Arshed Ali Quyyumi and Fusheng Wang: An Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies. Vol 5, No 2 (2017). Journal of Medical Internet Research (JMIR) - Medical Informatics.
• Pengyue Zhang, Fusheng Wang, George Teodoro, Yanhui Liang, Daniel Brat and Jun Kong: Automated Level Set Segmentation of Histopathologic Cells with Sparse Shape Prior Support and Dynamic Occlusion Constraint. In Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
• Pengyue Zhang, Fusheng Wang and Yefeng Zheng: Self supervised deep representation learning for fine-grained body part recognition. In Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
• Blair Rossetti, Fusheng Wang, Pengyue Zhang, George Teodoro, Daniel Brat and Jun Kong: Dynamic Registration for Gigapixel Serial Whole Slide Images. In Proc. of 2017 IEEE International Symposium on Biomedical Imaging, April 18 - 21, 2017, Melbourne, Australia.
• Xin Chen, Yu Wang, Elinor Schoenfeld, Mary Saltz, Joel Saltz and Fusheng Wang: Spatio-temporal Analysis for New York State SPARCS Data. In Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco,CA, USA.
• Yanhui Liang, Fusheng Wang, Pengyue Zhang, Daniel J. Brat, Joel Saltz, Jun Kong: Development of a Framework for Large Scale Three-Dimensional Pathology and Biomarker Imaging and Spatial Analytics. In Proc. of 2017 AMIA Joint Summits on Translational Science, March 27 - 30, 2017, San Francisco,CA, USA.
• Naiyun Zhou, Xiaxia Yu, Tianhao Zhao, Si Wen, Fusheng Wang, Wei Zhu, Tahsin Kurc, Allen Tannenbaum, Joel Saltz and Yi Gao: Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis. In Proc. of 2017 SPIE Medical Imaging, February 11, 2017, Orlando, Florida, United States.
• Yanhui Liang, Hoang Vo, Ablimit Aji, Jun Kong and Fusheng Wang: Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. In Proc. of the 24nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), October 31 to November 3, 2016, San Francisco Bay Area, California, USA.
• Xin Chen, Hoang Vo, and Fusheng Wang: Annotating Geographical Objects in OpenStreetMap with Geo-tagged Social Media. In Proc. of the 9th ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2016), October 31, 2016, San Francisco Bay Area, California, USA.
• Hoang Vo, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro and Fusheng Wang: Cloud-Based Whole Slide Image Analysis Using MapReduce. In Proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2016). New Delhi, September 9, 2016.
• Cong Xie, Wen Zhong, Jun Kong, Wei Xu, Klaus Mueller and Fusheng Wang: IEVQ: An Iterative Example-based Visual Query for Pathology Database. In Proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2016). New Delhi, September 9, 2016.
• Xin Chen and Fusheng Wang: Integrative Spatial Data Analytics for Public Health Studies of New York State. In Proceedings of AMIA 2016 Annual Symposium. Chicago, IL, Nov 12-16, 2016.
• Yanhui Liang, Jun Kong and Fusheng Wang: Three-Dimension (3D) Blood Vessel Reconstruction and Spatial Analytics with Whole-Slide Histological Images. In Proceedings of AMIA 2016 Annual Symposium. Chicago, IL, Nov 12-16, 2016.
• Jun Kong, Pengyue Zhang, Yanhui Liang, George Teodorou, Daniel J. Brat and Fusheng Wang: Robust Cell Segmentation for Histological Images of Glioblastoma. Oral Presentation. In Proceedings of International Symposium on Biomedical Imaging (ISBI 2016), April 13-16, 2016, Prague, Czech.
• Chunjie Zhoua, Pengfei Dai, Fusheng Wang and Zhenxing Zhang: Predicting the Passenger Demand on Bus Services for Mobile Users. Pervasive and Mobile Computing. Vol. 25, January 2016, Pages 48–66.
• Fusheng Wang, Ablimit Aji, and George Teodoro: Medical Image Dataset Processing over Cloud/MapReduce with Heterogeneous Architectures. Encyclopedia of GIS. Springer. 2016.
• David J Foran, Tahsin Kurc, Xin Qi, Daihou Wang, Fusheng Wang, George Teodoro, Lee Cooper, Michael Nalisnik, Lin Yang and Joel Saltz: Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies. BMC Bioinformatics, Vol 16(1), 2015.
• Shuai Zheng, Raymund Dantes, Sheri C. Tejedor, James J. Lu, Michele Beckman, Asha Krishnaswamy, Lisa Richardson and Fusheng Wang: Improved Identification of Venous Thromboembolism from Electronic Medical Records using Information Extraction. In Proceedings of AMIA 2015 Annual Symposium. San Francisco, CA, Nov 14-18, 2015.
• Furqan Baig, Mudit Mehrotra, Hoang Vo, Fusheng Wang, Joel Saltz, Tahsin Kurc: SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studies. In Proceedings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare. Waikoloa, Hawaii, September 4, 2015.
• Yanhui Liang, Jun Kong, Yangyang Zhu and Fusheng Wang: Three-Dimensional Data Analytics for Pathology Imaging. In Proceedings of the First International Workshop on Data Management and Analytics for Medicine and Healthcare. Waikoloa, Hawaii, September 4, 2015.
• Shuai Zheng, James Lu, Christina Appin, Daniel Brat, Fusheng Wang: Support Patient Search for Pathology Reports with Interactive Online Learning Based Data Extraction. Vol 6(1), January 2015. Journal of Pathology Informatics.
• Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu and Jun Kong: Whole-Slide Histological Image Analysis for 3D Primary Vessel Reconstruction. In Proc. of the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015). Munich, Germany, October 5-9, 2015.
• Xin Chen, Yu Wang, Eugene Agichtein and Fusheng Wang: A comparative study of demographic inference in Twitter. In Proc. of the 9th International AAAI Conference on Web and Social Media (ICWSM 2015). Oxford, UK, May 26-29, 2015.
• Hoang Vo and Fusheng Wang: Effective Temporal Modeling for Scalable Spatio-Temporal Queries. In Proc. of the International Symposium on Spatiotemporal Computing(IWSC'2015). Fairfax, Virginia, July 13-15th, 2015.
• Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu and Jun Kong: Liver Whole Slide Image Analysis for 3D Vessel Reconstruction. In Proc. of the 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015). Brooklyn, New York, USA, April 16-19, 2015.
• Jun Kong, Fusheng Wang, George Teodoro, Yanhui Liang, Yangyang Zhu, Carol Tucker-Burden, Daniel Brat: Automated Cell Segmentation with 3D Fluorescence Microscopy Images. In Proc. of the 12th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015). Brooklyn, New York, USA, April 16-19, 2015.
• Chunjie Zhou, Pengfei Dai, Fusheng Wang and Renpu Li: Mining Spatial and Temporal Movement Patterns of Passengers on Bus Networks. In Proc. of the Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2015). February 22 - 27, 2015 - Lisbon, Portugal.
• Fusheng Wang, Ablimit Aji and George Teodoro: High Performance Spatial Queries for Spatial Big Data: from Medical Imaging to GIS. ACM SIGSPATIAL Special, Vol 6(3), November, 2014.
• Yanhui Liang, Fusheng Wang, Darren Treanor, Derek Magee, George Teodoro, Yangyang Zhu, Jun Kong: A Framework for 3D Vessel Analysis with Whole Slide Images of Serial Liver Sections. In Proc. of International Conference on Intelligent Biology and Medicine (ICIBM 2014), December 4-6, 2014, San Antonio, TX, USA.
• Xin Chen, Hoang Vo, Ablimit Aji and Fusheng Wang: High Performance Integrated Spatial Big Data Analytics. In Proc. of the Third ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014), Nov 4, 2014, Dallas, TX, USA.
• Ablimit Aji, George Teodoro and Fusheng Wang: Haggis: Turbo Charge A MapReduce based Spatial Data Warehousing System with GPU Engine. In Proc. of the Third ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2014), Nov 4, 2014, Dallas, TX, USA.
• Ablimit Aji, George Teodoro and Fusheng Wang: SATO: A Spatial Data Partitioning Framework for Scalable Query Processing. In Proc. of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2014), Dallas, Texas in November 4-7, 2014, Dallas, TX, USA.
• Ablimit Aji, Hoang Vo and Fusheng Wang: Spatial Queries in the Cloud. Encyclopedia of Database Systems (edited by Ling Liu and M. Tamer Özsu). Forthcoming.
• Shuai Zheng, Fusheng Wang and James Lu: Enabling Ontology Based Semantic Queries in Biomedical Database Systems. International Journal of Semantic Computing (IJSC). Vol 8(1), 2014. Technique Report.
• Fusheng Wang, Cristobal Vergara-Niedermayr, Peiya Liu: Metadata Based Management and Sharing of Distributed Biomedical Data. International Journal of Metadata, Semantics and Ontologies (IJMSO), Special Issue on "Metadata for e-Science and e-Research". Vol 9 (1), 2014.

2013:

• Jun Kong, Lee A.D. Cooper, Fusheng Wang, Jingjing Gao, George Teodoro, Lisa Scarpace, Tom Mikkelsen, Matthew J. Schniederjan, Carlos S. Moreno, Joel H. Saltz and Daniel J. Brat: Machine-based Morphologic Analysis of Glioblastoma using Whole-slide Pathology Images Uncovers Clinically Relevant Molecular Correlates. PLOS ONE. 8(11), 2013.
• Jun Kong, Fusheng Wang, George Teodoro, Lee Cooper, Carlos Moreno, Tahsin Kurc, Tony Pan, Joel Saltz, and Daniel Brat: High-Performance Computational Analysis of Glioblastoma Pathology Images with Database Support Identifies Molecular and Survival Correlates. In Proc. of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, December 18-21, 2013.
• Shuai Zheng, Fusheng Wang, James Lu: ASLForm: An Adaptive Self Learning Medical Form Generating System. In Proc. of AMIA Annual Symposium, Washington, DC, November 16-20, 2013.
• Ablimit Aji, Xiling Sun, Hoang Vo, Qiaoling Liu, Rubao Lee, Xiaodong Zhang, Joel Saltz and Fusheng Wang: Demonstration of Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce. Demo Paper, in Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2013), November 5-8, 2013, Orlando, Florida, USA.
• David A Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin Kurc, Joel H Saltz, Daniel J Brat, Lee AD Cooper: Cancer Digital Slide Archive: An Informatics Resource to Support Integrated In Silico Analysis of TCGA Pathology Data. Journal of the American Medical Informatics Association (JAMIA) 2013 Nov 1;20(6):1091-1098.
• Ablimit Aji, Fusheng Wang, Hoang Vo, Rubao Lee, Qiaoling Liu, Xiaodong Zhang, Joel Saltz: Hadoop-GIS: A Spatial Data Warehousing System Over MapReduce. In Proc. of the 39th International Conference on Very Large Databases (VLDB'2013), Trento, Italy, August 26-30, 2013.
• Cristobal Vergara-Niedermayr, Fusheng Wang, Tony Pan, Tahsin Kurc, Joel Saltz: Semantically Interoperable XML Data. International Journal of Semantic Computing (IJSC). Vol 7(3), 2013.
• Yingjie Shi, Xiaofeng Meng, Fusheng Wang, Yantao Gan: HEDC++: An Extended Histogram Estimator for Data in the Cloud. Journal of Computer Science and Technology(JCST), Special Issue on Cloud Data Management. 28(6): 973-988 Nov. 2013.
• Fusheng Wang, Jun Kong, Jingjing Gao, David Adler, Lee Cooper, Cristobal Vergara-Niedermayr, Zhengwen Zhou, Bryan Katigbak, Tashin Kurc, Daniel Brat and Joel Saltz: A High-Performance Spatial Database Based Approach for Pathology Imaging Algorithm Evaluation. Journal of Pathology Informatics. 2013, 4:5.

2012:

• Ablimit Aji, Fusheng Wang and Joel Saltz: Towards Building a High Performance Spatial Query System for Large Scale Medical Imaging Data. In Proceedings of the 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2012), Redondo Beach, California, USA, November 6-9, 2012.
• Yingjie Shi, Xiaofeng Meng, Fusheng Wang and Yantao Gan: You Can Stop Early with COLA: Online Processing of Aggregate Queries in the Cloud. Full Paper, In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM'2012), Maui, USA, 2012.
• Shuai Zheng, Fusheng Wang and James Lu: Bridging the Unstructured and Structured Worlds: an Adaptive Self Learning Medical Form Generating System. In Proceedings of the Second International Workshop on Managing Interoperability and compleXity in Health Systems (MIXHS'2012), in conjunction with CIKM 2012, Maui, USA, 2012.
• Yingjie Shi, Xiaofeng Meng, Fusheng Wang, Yantao Gan: HEDC: A Histogram Estimator for Data in the Cloud. In Proceedings of the Fourth International Workshop on Cloud Data Management (CloudDB'2012), in conjunction with CIKM 2012, Maui, USA, 2012.
• Kaibo Wang, Yin Huai, Rubao Lee, Fusheng Wang, Xiaodong Zhang and Joel Saltz: Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems. In Proceedings of the 38th International Conference on Very Large Data Bases (VLDB'2012), Istanbul, Turkey, 2012. Vol 5(11):1543-1554.
• Ablimit Aji and Fusheng Wang: High Performance Spatial Query Processing for Large Scale Scientific Data. In Proceedings of SIGMOD/PODS PhD Symposium 2012. Scottsdale, AZ, USA May 20, 2012.
• Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurc, Daniel J. Brat and Joel H. Saltz: Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proceedings of the IEEE 100(4): 991-1003 (2012).
• Patrick M. Widener, Tahsin Kurc, Wenjin Chen, Fusheng Wang, Lin Yang, Jun Hu, Vijay Kumar, Vicky Chu, Lee Cooper and Jun Kong, Ashish Sharma, Tony Pan, Joel Saltz, David Foran: High Performance Computing Techniques for Scaling Image Analysis Workflows. Applied Parallel and Scientific Computing, p67-77, 2012.
• Lee A.D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Doris Gao, Christina Appin, Sharath R. Cholleti, Tony C. Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin Kurc, Carlos S. Moreno, Daniel J. Brat, Joel H. Saltz: Integrated Morphologic Analysis for the Identification and Characterization of Disease Subtypes. J Am Med Inform Assoc., Vol 19(2), 2012.
• Fusheng Wang, Tae W. Oh, Cristobal Vergara-Niedermayr, Tashin Kurc, Joel Saltz: Managing and Querying Whole Slide Images. In Proc. of SPIE Medical Imaging, Feb 4-9, 2012. San Diego, California, USA.

2011:

• Jun Kong, Lee A.D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Tony C. Pan, Patrick M. Wiedner, Daniel J. Brat and Joel Saltz: Integrative, Multi-modal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images and Clinical Outcomes. IEEE Transactions on Biomedical Engineering. 2011 Dec;58(12):3469-74.
• F. Wang, J. Kong, J. Gao, C. Vergara-Niedermayr, D. Alder, L. Cooper, W. Chen, T. Kurc and J. Saltz: High Performance Analytical Pathology Imaging Database for Algorithm Evaluation. In Proc. of the Joint Workshop on High Performance and Distributed Computing for Medical Imaging (MICCAI/MICCAI-DCI 2011), in conjunction with MICCAI. Toronto, Sep 22, 2011.
• J. Kong, L. Cooper, C. Moreno, F. Wang, T. Kurc, J. Saltz, and D. Brat: In Silico Analysis of Nuclei in Glioblastoma Using Large-scale Microscopy Images Improves Prediction of Treatment Response. In Proc. of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC 2011).
• F. Wang, J. Kong, L. Cooper, T. Pan, T. Kurc, W. Chen, A. Sharma, C. Niedermayr, T. W. Oh, D. Brat, A. B. Farris, D. Foran, J. Saltz: Data Model and Database for High-resolution Pathology Analytical Image Informatics. Journal of Pathology Informatics 2011, 2:32. Full version technique report.
• D. J. Foran, L. Yang, W. Chen, J. Hu, L. A. Goodell, M. Reiss, F. Wang, T. Kurc, T. Pan, A. Sharma and J. H. Saltz: ImageMiner: Comparative Analysis of Tissue Microarrays Using Content-based Image Retrieval, High-Performance Computing, and Grid Technology. J Am Med Inform Assoc. 2011 Jul 1;18(4):403-15.
• R. Lee, T. Luo, Y. Huai, F. Wang, Y. He, X. Zhang: YSmart: Yet Another SQL-to-MapReduce Translator. In Proc. of the 31st Int'l Conference on Distributed Computing Systems (ICDCS 2011), June 20-24, 2011. Minneapolis, Minnesota, USA. (Best paper award)
• L. Cooper, J. Kong, F. Wang, T. Kurc, C. S. Moreno, D. J. Brat, J. H. Saltz: Morphological Signatures and Genomic Correlates in Glioblastoma. In Proc. of the 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). Chicago, Illinois, USA, March 30 - April 2, 2011.
• J. Kong, L. Cooper, F. Wang, C. Chisolm, C. Moreno, T. Kurc, P. Widener, D. Brat, J. Saltz: A Comprehensive Framework for Classification of Nuclei in Digital Microscopy Imaging: An Application to Diffuse Gliomas. In Proc. of the 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011). Chicago, Illinois, USA, March 30 - April 2, 2011.
• F. Wang, R. Lee, X. Zhang and J. Saltz: Towards Building High Performance Medical Image Management System for Clinical Trials. In Proc. of SPIE Medical Imaging, Orland, Florida, USA, Feb 12-17, 2011.

2010:

• J. Gardner, L. Xiong, F. Wang, A. Post and J. Saltz: An Evaluation of Feature Sets and Sampling Techniques for De-identification of Medical Records. In Proc. of 1st ACM International Health Informatics Symposium. Arlington, Virginia, USA, November 11-12, 2010.
• T. Kurc, P. Widener, W. Chen, F. Wang, et. al.: Grid-Enabled, High-performance Microscopy Image Analysis. In Proc. of the 2nd International Workshop on High-Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making (HP-MICCAI2010). Beijing, China, September 24, 2010.
• L. Cooper, J. Kong, D. Gutman, F. Wang, S. Cholleti, T. Pan, P. Widener, A. Sharma, T. Mikkelsen, A. Flanders, D. Rubin, E. V. Meir, T. Kurc, C. Moreno, D. Brat, J. Saltz. An Integrative Approach for In Silico Glioma Research. IEEE Transactions on Biomedical Engineering Letters, 2010 Oct;57(10):2617-21.
• F. Wang, T. Kurc, P. Widener, T. Pan, J. Kong, L. Cooper, D. Gutman, A. Sharma, S. Cholleti, V. Kumar, J. Saltz: High-performance Systems for In Silico Microscopy Imaging Studies. In Proc. of Seventh International Conference on Data Integration in the Life Sciences (DILS 2010), Gothenburg, Sweden, August 25-27, 2010.
• F. Wang, S. Liu and P. Liu: A Temporal RFID Data Model for Querying Physical Objects. Journal of Pervasive and Mobile Computing, Volume 6, Issue 3, June 2010, Pages 382-397.
• F. Wang et. al., Managing and Querying Image Annotation and Markup in XML. In Proc. of SPIE Medical Imaging, San Diego, 13 - 18 February 2010.

2009 and before:

• F. Wang, S. Liu and P. Liu: Complex RFID Event Processing. The International Journal on Very Large Data Bases (VLDBJ). Volume 18, Number 4 / August, 2009.
• F. Wang, P. Hussels, P. Liu: Securely and Flexibly Sharing a Biomedical Data Management System. In Proc of SPIE Medical Imaging 2009, Orlando, Florida, USA, February 7-12, 2009, 2009.
• F. Wang, C. Zaniolo and X. Zhou: ArchIS: An XML-Based Approach to Transaction-Time Temporal Database Systems. The International Journal on Very Large Data Bases (VLDBJ). Volume 17, Number 6 / November, 2008.
• F. Wang, C. Vergara-Niedermayr, Collaboratively Sharing Scientific Data. In Proc. of the 4th International Conference on Collaborative Computing (CollaborateCom'08). Orlando, FL, USA, November 13-16, 2008.
  
  
• F. Wang, C. Zaniolo, Temporal Queries and Version Management for XML Document Archives. Journal of Data and Knowledge Engineering (DKE). Volume 65, Issue 2, May 2008, P304-324.
• T. Xia, F. Wang, S. Liu and S. Palanivelu: Flexible Multi-Dimensional Indexing Server for Searching Non-Textual Diagnostic Annotations . In Proc. of the IASTED International Conference on Internet and Multimedia Systems and Applications (EuroIMSA'08). Innsbruck, Austria. March 17-19, 2008.
• F. Wang, et al.: An Adaptable XML Based Approach for Scientific Data Management and Integration. In Proc. of SPIE Medical Imaging 2008, San Diego, California, USA, February 16-21, 2008.
• F. Wang, C. Rabsch and P. Liu:Native Web Browser Enabled SVG-based Collaborative Multimedia Annotation for Medical Images. In Proc. of the 24th International Conference on Data Engineering (ICDE'08), April 7-12, 2008, Cancun, Mexico.
• F. Wang, C. Rabsch and P. Liu:Using SVG to Model and Query Image Annotations and their History. In Proc. of IEEE International Conference on Bioinformatics and Biomedicine 2007 (BIBM'07), San Jose, USA, November 2-4, 2007.
• F. Wang, P. Bourgue, G. Hackenberg, M. Wang, D. Kaltschmidt, C. Rabsch, P. Kling, G. Madlmayr, P. Liu, J. Pearson and J. Carpinelli: SciPort: An Adaptable Scientific Data Integration Platform for Collaborative Scientific Research. In Proc. of the 33rd International Conference on Very Large Data Bases (VLDB'2007), Vienna, Austria, September 23-28 2007.
• T. Xia, F. Wang, P. Liu: Managing and Searching Distributed Multidimensional Annotations with Large Scale Image Data. In Proc. of International Workshop on Multimedia Content Analysis and Mining (MCAM'07). WeiHai, China, June 30-July 1 2007.
• S. Liu, F. Wang, P. Liu: Integrated RFID Data Modeling for Querying Physical Objects in RFID-enabled Pervasive Computing. In Proc. of the 8th International Conference on Mobile Data Management (MDM'07). Mannheim, Germany, May 7 - 11, 2007.
• F. Wang, C. Rabsch, P. Kling, P. Liu and J. Pearson: Web-based Collaborative Information Integration for Scientific Research. In Proc. of 23rd International Conference on Data Engineering (ICDE'2007). Istanbul, Turkey; April 17-20, 2007.
• Y. Bai, F. Wang, P. Liu and S. Liu: RFID Data Processing with a Data Stream Query Language. In Proc. of 23rd International Conference on Data Engineering (ICDE'2007). Istanbul, Turkey; April 17-20, 2007.
• F. Wang, X. Zhou and C. Zaniolo: Bridging Relational Database History and the Web: the XML Approach. In the 8th ACM International Workshop on Web Information and Data Management (WIDM'06), Arlington, Virginia, USA, November 10, 2006.
• S. Liu, F. Wang, P. Liu: Integrated RFID Data Modeling: An Approach for Querying Physical Objects in Pervasive Computing. Poster Paper. In Proc. of the ACM 15th Conference on Information and Knowledge Management (CIKM'06), Arlington, Virginia, USA, Nov 6-11, 2006.
• Y. Bai, F. Wang, P. Liu: Efficiently Filtering RFID Data Streams. In Proc. of the First International VLDB Workshop on Clean Databases (CleanDB'06), Seoul, Korea, September 11, 2006.
• X. Zhou, F. Wang and C. Zaniolo: Efficient Temporal Coalescing Query Support in Relational Database Systems . In Proc. of the 17th International Conference on Database and Expert Systems Applications (DEXA'06), Krakow, Poland, September, 2006. (The method was adopted by TeraData for its temporal database support.)
• F. Wang, S. Liu, P. Liu and Y. Bai: Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams. In Proc. of the 10th International Conference on Extending Database Technology (EDBT'2006), Munich, Germany, March, 2006. (EDBT 10-Year Test of Time Award)
• F. Wang, P. Liu, J. Pearson, F. Azar and G. Madlmayr, Experiment Management with Metadata-based Integration for Collaborative Scientific Research. In Proc. of the 22nd International Conference on Data Engineering (ICDE'2006), April 3-7, Atlanta, Georgia, USA, 2006.
• F. Wang, P. Liu, Temporal Management of RFID Data. In Proc. of the 31st International Conference on Very Large Data Bases (VLDB'05). Trondheim, Norway; August 30-September 2, 2005. p1128-1139.
• F. Wang, C. Zaniolo, An XML-Based Approach to Publishing and Querying the History of Databases. World Wide Web: Internet and Web Information Systems, Kluwer, Vol.8, No.3, September, 2005. p233-259.
• F. Wang, C. Zaniolo, and X. Zhou, Temporal XML? SQL Is Fighting Back!. 12th International Symposium on Temporal Representation and Reasoning (TIME'05), June, 2005. p47-55.
• F. Wang, C. Zaniolo, XBiT: An XML-based Bitemporal Data Model. In Proc. of the 23rd International Conference on Conceptual Modeling(ER'04) Shanghai, China, November 2004. p810-824.
• F. Wang, C. Zaniolo, Publishing and Querying the Histories of Archived Relational Databases in XML. In Proc. of the 4th International Conference on Web Information Systems Engineering (WISE'03), Roma, Italy, December 2003. p93-102.
• F. Wang, C. Zaniolo, Representing and Querying the Evolution of Databases and their Schemas in XML, Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), Hotel Sofitel, San Francisco Bay, CA, USA, July 1-3, 2003.
• F. Wang, C. Zaniolo, Temporal Queries in XML Document Archives and Web Warehouses. In Proc. of the 10th International Symposium on Temporal Representation and Reasoning and 4th International Conference on Temporal Logic (TIME-ICTL'03), Queensland, Australia, July 2003. p47-55.
• F. Wang, C. Zaniolo, Preserving and Querying Histories of XML-Published Relational Databases. In Proc. of the Second International Workshop on Evolution and Change in Data Management (ECDM02) (held in conjunction with ER'02), Tampere, Finland, October 2002. p26-38.

• Ablimit Aji and Fusheng Wang: Challenges and Approaches in Spatial Big Data Management. "Big Data: Storage, Sharing, and Security (3S)". By Auerbach Publications, 2016.
• Joel Saltz, Fusheng Wang, George Teodoro, Lee Cooper, Patrick Widener, Jun Kong, David Gutman, Tony Pan, Sharath Cholleti, Ashish Sharma, Daniel Brat, and Tahsin Kurc: Large-Scale Microscopy Imaging Analytics for In Silico Biomedicine. Data-Intensive Science. CRC Press. May 28, 2013. p55-72.
• Fusheng Wang, Chunjie Zhou and Yanming Nie: Event Processing in Sensor Streams. Book Chapter. Managing and Mining Sensor Data, by Springer, 2013.
• F. Wang, P. Liu and J. Pearson: SciPort: An Extensible Data Management Platform for Biomedical Research. Book Chapter. Database Technology for Life Sciences and Medicine, by World Scientific Publishing, 2010.
• F. Wang and P. Liu: Temporal and Location Based RFID Data Management and Processing. Book Chapter. Unique Radio Innovation for the 21st Century: Building Scalable and Global RFID Networks, by Springer-Verlag, 2010.

• F. Wang, T. Kurc, P. Widener, T. Pan, J. Kong, L. Cooper, D. Gutman, A. Sharma, S. Cholleti, V. Kumar, J. Saltz: High-performance Systems for In Silico Microscopy Imaging Studies. In Proc. of Seventh International Conference on Data Integration in the Life Sciences (DILS 2010), Gothenburg, Sweden, August 25-27, 2010.

• Shuai Zheng, Fusheng Wang, James Lu and Joel Saltz: Enabling Ontology Based Semantic Queries in Biomedical Database Systems. Poster Paper, In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM'2012), Maui, USA, 2012.
• F. Wang, X. Zhou and C. Zaniolo, Using XML to Build Efficient Transaction-Time Temporal Database Systems on Relational Databases. Poster Paper. In Proc. of the 22nd International Conference on Data Engineering (ICDE'2006), April 3-7, Atlanta, Georgia, USA, 2006.
• F. Wang, C. Zaniolo, X. Zhou, H. J. Moon, Managing Multiversion Documents & Historical Databases: a Unified Solution Based on XML. Demo Paper. WebDB 2005. p151-153.
• F. Wang, C. Zaniolo, X. Zhou, H. J. Moon, Version Management and Historical Queries in Digital Libraries. Poster Paper. 12th International Symposium on Temporal Representation and Reasoning (TIME'05), Vermont, June, 2005. p207-209.
• F. Wang, X. Zhou, C. Zaniolo, Temporal Information Management using XML. Demo Paper. In Proc. of the 23rd International Conference on Conceptual Modeling(ER'04) Shanghai, China, November 2004.

• Jun Kong, Lee A.D. Cooper, Fusheng Wang, Jingjing Gao, George Teodoro, Lisa Scarpace, Tom Mikkelsen, Carlos S. Moreno, Joel H. Saltz, and Daniel J. Brat: Machine-based Classification of Oligodendroglioma Component in Glioblastoma using Large-scale Microscopic Image Analysis Uncovers Oligodendroglial Molecular Signatures. The TCGA Scientific Symposium. Crystal City, VA, USA, November 27-28, 2012.
• Lee AD Cooper, Christina Appin, Rami Yacoub, David A Gutman, Hyun Ju Choi, Jun Kong, Fusheng Wang, Carlos S Moreno, Robin Bostick, Daniel J Brat, Joel H Saltz: Active Learning for Pathology Image Analysis. Pathology Informatics Conference, Pittsburgh, Oct 9-12, 2012.
• Ablimit Aji, Qiaoling Liu, Fusheng Wang, Tahsin Kurc and Joel Saltz: MIGIS: High Performance Spatial Query System for Pathology Imaging Analytics. Pathology Informatics Conference, Pittsburgh, Oct 9-12, 2012.(Best Presentation Award)
• Lee A.D. Cooper, Rami Yacoub, David A. Gutman, Fusheng Wang, Carlos S. Moreno, Daniel J. Brat, Roberd M. Bostick, Joel H. Saltz: Quantitative imaging of protein expression using multiplex quantum dot immunohistochemistry. American Association for Cancer Research Annul Meeting, Chicago, IL, April 4, 2012.
• Jingjing Gao, Jun Kong, Fusheng Wang, Tahsin Kurc, Lance Waller, Joel Saltz: An Accuracy Validation Framework for Automated Pathology Image Segmentation and Classification Algorithms. Pathology Informatics Conference: Pittsburgh, PA, USA, Oct 4-7, 2011.
• Fusheng Wang: High Performance Data Management and Queries for Analytical Medical Imaging Informatics. Data Intensive Research and XLDB Europe joint Workshop. Edinburgh, UK, June 7-10, 2011.
• Jun Kong, Lee Cooper, Candace Chisolm, Fusheng Wang, Carlos Moreno, Tahsin Kurc, Daniel Brat and Joel Saltz: Computer-Based Classification of Nuclei in Gliomas. USCAP 2011 annual meeting, San Antonio, TX, February 26-March 4, 2011.
• F. Wang, T. Pan, T. Kurc, A. Sharma, J. H. Saltz, W. Chen, V. Chu, J. Hu, L. Yang and D. J. Foran: Modeling and Managing Annotation and Markup for Pathology and Microscopy Images. In Proc. of AMIA 2010 Annual Symposium. Washington DC, November 13-17, 2010.
• Joel Saltz, Fusheng Wang, Tony Pan, Tahsin Kurc, Ashish Sharma, Joel H. Saltz, Wenjin Chen, Vicky Chu, Jun Hu, Ling Yang and David J. Foran: High-throughput Microscopy Image Analysis for Deep Integrative In Silico Study of Brain Tumors. Poster in CTSA Annual Informatics Meeting, Washington DC, October 13-14, 2010.
• Fusheng Wang et. al.: Developing Data Model Standards and Databases for Pathology Analytical Imaging, Pathology Informatics, Boston, MA, September 19-22, 2010. (Best presentation award)
• 12. Tony Pan, Fusheng Wang, Justin Permar, Cristobal Vergara Niedermayr, Ashish Sharma, Tahsin Kurc, Joel Saltz: xService: a Framework for Developing Interoperable caGrid Data Services for XML Data. NCI caBIG Annual Meeting, Washington DC, September, 2010.

Conference Reports:

• X. Meng and F. Wang and A. Silberstein: Report on the Fourth International Workshop on Cloud Data Management (CloudDB 2012). Conference Report, SIGMOD Record, March 2013 (Vol. 42, No. 1)
• X. Meng and F. Wang: The First Extremely Large Database Conference at Asia. Conference Report, SIGMOD Record, December 2012(Vol. 41, No. 4), p65-67
• X. Meng A. Silberstein and F. Wang: Report on the Fourth International Workshop on Cloud Data Management (CloudDB 2012). SIGMOD Record, March 2013 (Vol. 42, No. 1).

• Y. Liang, F. Wang and H. Vo: System and method associated with progressive spatial analysis of prodigious 3D data including complex structures. United States Patent No. 11,188,738. November 30, 2021.
• Z. Qin, F. Wang and S. Pittard: Methods, systems and computer readable storage media for generating quantifiable genomic information and results. United States Patent No. 10394828. August 29, 2019.
• F. Wang: Collaborative Data and Knowledge Integration. US Patent No. 8,239,455, Issued on Aug 7, 2012.
• F. Wang, S. Liu and P. Liu: Method and Apparatus for Complex RFID Event Processing. US Patent No. 7,668,794, Issued on Feb 23, 2010.
• F. Wang and P. Liu, Systems, Devices, and Methods for Managing RFID Data. United States Patent No. 7,481,368, Issued on Jan 27, 2009.