Publications
Peer-reviewed Conference Papers (underscore denotes Post-Doctoral/graduate
students/undergraduate students I have been working with)
1. Hritam Basak, and Zhaozheng Yin,
“VisPLA: Visual Iterative Self-Prompting for
Language-Guided 3D Affordance Learning,” the 39th Annual
Conference on Neural Information Processing Systems (NeurIPS), 2025.
2. Hritam Basak, and Zhaozheng Yin,
“D^4Recon: Dual-stage Deformation and Dual-scale Depth Guidance for
Endoscopic Reconstruction,” the 28th International Conference on
Medical Image Computing and Computer Assisted Intervention (MICCAI),
2025.
3. Jignesh
Gutta, Xin Qian, Tiezhi Zhang, and Zhaozheng
Yin, “RANDose: A Region-aware Attention Network
for Accurate Radiation Dose Prediction,” the 28th International
Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
2025.
4. Hritam Basak, Hadi Tabatabaee,
Shreekant Gayaka, Ming-Feng Li, Xin Yang, Cheng-Hao Kuo, Arnab Sen, Min Sun,
and Zhaozheng Yin, “Enhancing Single Image to 3D Generation using Gaussian
Splatting and Hybrid Diffusion Priors,” IEEE/RSJ International
Conference on Intelligent Robots and Systems (IROS), 2025.
5.
Hritam
Basak,
and Zhaozheng Yin, “SemiDAViL: Semi-supervised
Domain Adaptation with Vision-Language Guidance for Semantic
Segmentation,” IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR), 2025.
6. Yuanhao Zou, and Zhaozheng Yin,
“Alignment, Mining and Fusion: Representation Alignment with Hard
Negative Mining and Selective Knowledge Fusion for Medical Visual Question
Answering,” IEEE/CVF Conference on Computer Vision and Pattern
Recognition (CVPR), 2025.
7. Yuanhao Zou, and Zhaozheng Yin,
“MVCM: Enhancing Multi-View and Cross-Modality Alignment for Medical
Visual Question Answering and Medical Image-Text Retrieval,” IEEE/CVF
Conference on Computer Vision and Pattern Recognition (CVPR)
workshop on Multimodal Learning and Applications (MULA), 2025.
8.
Jamalia Sultana,
Ruwen Qin, and Zhaozheng Yin, “Seeing Through Expert’s Eyes:
Leveraging Radiologist Eye Gaze and Speech Report with Graph Neural Networks
for Chest X-ray Image Classification,” the 17th Asian
Conference on Computer Vision (ACCV), 2024.
9. Hritam Basak, and Zhaozheng Yin,
“Forget More to Learn More: Domain-specific Feature Unlearning for
Semi-supervised and Unsupervised Domain Adaptation,” the 18th European
Conference on Computer Vision (ECCV), 2024.
10.
Hritam
Basak, and Zhaozheng Yin,
“Quest for Clone: Test-time Domain Adaptation for Medical Image
Segmentation by Searching the Closest Clone in Latent Space,” the 27th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2024.
11.
Jignesh Gutta,
and Zhaozheng Yin, “Med-Former: A Transformer based Architecture for
Medical Image Classification,” the 27th International Conference on
Medical Image Computing and Computer Assisted Intervention (MICCAI),
2024.
12.
Haodong
Chen, Niloofar Zendehdel, Ming
Leu, Md Moniruzzaman, Zhaozheng Yin, and Solmaz Hajmohammadi, “Repetitive
Action Counting through Joint Angle Analysis and Video Transformer
Techniques,” International Symposium on Flexible Automation (ISFA),
2024.
13.
Roshan Kenia,
Jihane Mendil, Ahmed Jasim, Muthanna Al-Dahhan, and Zhaozheng
Yin, “Robust TRISO-Fueled Pebble Identification by Digit
Recognition,” IEEE/CVF Winter Conference on Applications of Computer
Vision (WACV), 2024.
14.
Hritam
Basak, and Zhaozheng Yin,
“Semi-supervised Domain Adaptive Medical Image Segmentation through
Consistency Regularized Disentangled Contrastive Learning,” the 26th International Conference
on Medical Image Computing and Computer Assisted Intervention (MICCAI),
2023.
15.
Jignesh Gutta,
and Zhaozheng Yin, “Diffusion Transformer U-Net for Medical Image
Segmentation,” the 26th International Conference on Medical Image
Computing and Computer Assisted Intervention (MICCAI), 2023.
16.
Hritam
Basak, and Zhaozheng Yin,
“Pseudo-label Guided Contrastive Learning for Semi-supervised Medical
Image Segmentation,” IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR), 2023.
17.
Jianxiang
Dong, and Zhaozheng Yin,
“Boundary-aware Temporal Sentence Grounding with Adaptive Proposal
Refinement,” the 16th Asian Conference on Computer Vision
(ACCV), 2022.
18. Liang
Han,
and Zhaozheng Yin, “Unsupervised Network Learning for Cell
Segmentation,” the 24th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2021.
19. Zuhui Wang, and Zhaozheng Yin,
“Annotation-efficient Cell Counting,” the 24th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI), 2021.
20. Tianyi
Zhao,
and Zhaozheng Yin, “Airway Anomaly Detection by Prototype-based Graph
Neural Network,” the 24th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2021.
21. Zuhui Wang, and Zhaozheng Yin,
“Cell Counting by a Location-Aware Network,” the 12th International Workshop on Machine Learning in
Medical Imaging (MLMI), 2021.
22. Tianyi
Zhao,
Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng
Yin, and Ling Zhang, “3D Graph Anatomy Geometry-Integrated Network for
Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient
Management,” IEEE/CVF Conference on
Computer Vision and Pattern Recognition (CVPR), 2021.
23. Haohan Li and Zhaozheng Yin,
“Attention, Suggestion and Annotation: A Deep Active Learning Framework
for Biomedical Image Segmentation,” the
23rd International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2020.
24. Liang
Han,
Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, Rong Jin, “Price Suggestion for Online
Second-Hand Items,” the 25th
International Conference on Pattern Recognition (ICPR), 2020.
25. Md
Moniruzzaman,
Zhaozheng Yin, Zhihai He, Ruwen Qin, and Ming Leu,
“Action Completeness Modeling with Background Aware Networks for
Weakly-Supervised Temporal Action Localization,” Proceedings of the 28th ACM International Conference on Multimedia
(ACMMM), 2020.
26. Liang
Han,
Pichao Wang, Zhaozheng Yin, Fan Wang, and Hao Li,
“Exploiting Better Feature Aggregation for Video Object Detection,”
Proceedings of the 28th ACM International
Conference on Multimedia (ACMMM), 2020.
27. Liang
Han,
Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, and Rong Jin. “Price Suggestion for
Online Second-hand Items with Texts and Images,” Proceedings of the 28th ACM International Conference on Multimedia
(ACMMM), 2020.
28. Haodong Chen, Wenjin
Tao, Ming Leu, and Zhaozheng Yin. “Dynamic Gesture Design and Recognition
for Human-Robot Collaboration with Convolutional Neural Networks,”
International Symposium on Flexible Automation (ISFA) 2020.
29. Haodong Chen, Ming Leu, Wenjin Tao, and Zhaozheng Yin. “Design of a Real-Time
Human-Robot Collaboration System Using Dynamic Gestures,” ASME
International Mechanical Engineering Congress and Exposition, Proceedings (IMECE),
2020.
30. Tianyi
Zhao,
Zhaozheng Yin, Jiao Wang, Dashan Gao, Yunqiang Chen,
and Yunxiang Mao. “Bronchus Segmentation and
Classification by Neural Networks and Linear Programming,” the 22nd International Conference on Medical
Image Computing and Computer Assisted Intervention (MICCAI), 2019.
31. Liang
Han,
Zhaozheng Yin, Zhurong Xia, Li Guo, Mingqian Tang, and Rong Jin. “Vision-based Price
Suggestion for Online Second-hand Items,” Proceedings of the 27th ACM International Conference on Multimedia
(ACMMM), 2019.
32. Liang
Han
and Zhaozheng Yin, “A Cascaded Refinement GAN for Phase Contrast
Microscopy Image Super Resolution,” the
21th International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2018.
33.
Tianyi Zhao
and Zhaozheng Yin, “Pyramid-based Fully Convolutional Networks for Cell
Segmentation,” the 21th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2018.
34. Wenjin Tao, Ze-Hao Lai, Ming C. Leu,
and Zhaozheng Yin. “American Sign Language Alphabet Recognition Using
Leap Motion Controller,” IISE Annual Conference, 2018. (IISE Best Paper Award on Data Analytics and Information Systems)
35.
Tianyi Zhao,
Dashan Gao, Jiao Wang, and Zhaozheng Yin, “Lung Segmentation in CT Images
Using a Fully Convolutional Neural Network with Multi-instance and Conditional
Adversary Loss,” IEEE International
Symposium on Biomedical Imaging (ISBI),
2018. (NIH Student Paper and Travel Award, 10 out of
625 submissions)
36.
Yunxiang Mao and Zhaozheng Yin,
“Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event
Detection and Stage Localization in Phase-Contrast Microscopy Images,” the 20th International Conference on Medical
Image Computing and Computer Assisted Intervention (MICCAI), 2017.
37.
Liang
Han and Zhaozheng
Yin, “Refocusing Phase
Contrast Microscopy Images,” the
20th International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2017.
38.
Liang
Han and Zhaozheng Yin, “Transferring
Microscopy Image Modalities with Conditional Generative Adversarial
Networks,” CVPR Workshop on Computer Vision for Microscopy Image
Analysis, 2017.
39.
Haohan
Li, Zhaozheng Yin, and Yingke Xu, “A Deep Learning Framework for Automated
Vesicle Fusion Detection,”
IEEE
International Symposium on Biomedical Imaging
(ISBI), 2017.
40.
Hang Su,
Jun Zhu, Zhaozheng Yin, Yinpeng Dong, and Bo Zhang,
“Efficient and Robust Semi-supervised Learning over a Sparse-Regularized
Graph,” the 14th European
Conference on Computer Vision (ECCV), 2016.
41. Yunxiang Mao and Zhaozheng Yin,
“A Hierarchical Convolutional Neural Network for Mitosis Detection in
Phase-Contrast Microscopy Images,” the
19th International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2016.
42.
Mingzhong Li and Zhaozheng Yin,
“Cell Segmentation using Stable Extremal Regions in Multi-exposure
Microscopy Images,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2016.
43.
Yunxiang
Mao, Zhaozheng Yin, and Joseph
M. Schober, “A Deep Convolutional Neural Network Trained on
Representative Samples for Circulating Tumor Cell Detection,” IEEE Winter
Conference on Applications of Computer Vision (WACV), 2016.
44.
Wenchao Jiang
and Zhaozheng Yin, “Human Tracking using Wearable Sensors in the
Pocket,” IEEE Global Conference on Signal & Information Processing (GlobalSIP), 2015.
45.
Srinivas Thandu,
Sriram Chellappan, and Zhaozheng Yin, “Ranging Explosion Events Using
Smartphones,” the 11th IEEE
International Conference on Wireless and Mobile Computing, Networking and
Communications (WiMob), 2015.
46.
Wenchao Jiang
and Zhaozheng Yin, “Human Activity Recognition using Wearable Sensors by
Deep Convolutional Neural Networks,” Proceedings
of the 23th ACM International Conference on Multimedia (ACMMM),
2015.
47.
Mingzhong
Li and Zhaozheng Yin,
“Co-restoring Multimodal Microscopy Images,” the 18th International Conference on Medical Image Computing and
Computer Assisted Intervention (MICCAI), 2015.
48.
Wenchao Jiang
and Zhaozheng Yin, “Restoring the Invisible Details in Differential
Interference Contrast Microscopy Images,” the 18th International Conference on Medical Image Computing and
Computer Assisted Intervention (MICCAI), 2015. (Young Scientist Award Runner-Up)
49.
Haohan
Li, Zhaozheng Yin, and Yingke Xu, “A Gaussian Mixture Model for Automated
Vesicle Fusion Detection and Classification,” the 18th International
Conference on Medical Image Computing and Computer Assisted Intervention
(MICCAI) workshop on Computational
Methods for Molecular Imaging (CMMI), 2015.
50.
Wenchao Jiang
and Zhaozheng Yin, “Combining Passive Visual Cameras and Active IMU
Sensors to Track Cooperative People,” the 18th International
Conference on Information Fusion (FUSION),
2015.
51.
Wenchao
Jiang
and Zhaozheng Yin, “Indoor Localization by Signal Fusion,” the 18th
International Conference on Information Fusion (FUSION), 2015.
52.
Hang Su,
Zhaozheng Yin, Takeo Kanade, and Seungil Huh,
“Active Sample Selection and Correction Propagation on a
Gradually-Augmented Graph”, IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
53. Cao Dong,
Ming Leu, and Zhaozheng Yin, “American
Sign Language Alphabet Recognition using Microsoft Kinect,” IEEE Conference on Computer Vision and Patter Recognition
(CVPR) Workshop on Observing and Understanding Hands in Action, 2015. (Best Paper Award)
54.
Yunxiang
Mao, Zhaozheng Yin, and Joseph
M. Schober, “Iteratively Training Classifiers for Circulating Tumor Cell
Detection,” IEEE International
Symposium on Biomedical Imaging (ISBI), 2015.
55.
Yunxiang
Mao and Zhaozheng Yin,
“Training a Scene-Specific Pedestrian Detector Using Tracklets,”
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
56.
Mingzhong
Li and Zhaozheng Yin,
“Debugging Object Tracking Results by a Recommender System with
Correction Propagation,” Asian
Conference on Computer Vision (ACCV) workshop on User-Centered Computer Vision (UCCV), 2014.
57.
Zhaozheng Yin, Hang Su, Elmer Ker, Mingzhong Li, and Haohan
Li, “Cell-Sensitive Microscopy Imaging for Cell Image
Segmentation,” the 17th
International Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI), 2014.
58. Yunxiang Mao, Haohan
Li, and Zhaozheng Yin, “Who Missed the Class? – Unifying
Multi-face Detection, Tracking and Recognition in Videos,” IEEE Intl. Conference on Multimedia &
Expo (ICME), 2014.
(NSF Student Paper and Travel Award)
59.
Hang Su,
Zhaozheng Yin, Takeo Kanade, and Seungil
Huh, “Interactive Cell Segmentation based on Correction Propagation,”
IEEE
International Symposium on Biomedical Imaging
(ISBI), 2014.
60. Mingzhong Li, Zhaozheng Yin, Matthew S.
Thimgan, and Ruwen Qin, “Track Fast-moving Tiny
Flies by Adaptive LBP Feature and Cascaded Data Association,” IEEE Intl. Conf. on Image Processing (ICIP),
2013.
61.
Hang Su,
Zhaozheng Yin, Seungil Huh, and Takeo
Kanade, "Cell Segmentation Via Spectral Analysis on Phase Retardation
Features", IEEE International
Symposium on Biomedical Imaging (ISBI), 2013.
62.
Hang Su,
Zhaozheng Yin, Takeo Kanade, and Seungil Huh,
“Phase Contrast Image Restoration via Dictionary Representation of
Diffraction Patterns,” International
Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
2012. (Young Scientist Award)
63.
Zhaozheng Yin, Daifei
Ker, Silvina Junkers, Takeo Kanade, Mei Chen, Lee Weiss, and Phil Campbell,
“Data-driven Prediction of Stem Cell Expansion Cultures,” The
33rd Annual International Conference of the IEEE Engineering in Medicine and
Biology Society (EMBS),
pp3577-3580, Boston, MA, USA, 2011.
64.
Ryoma Bise, Takeo Kanade, Zhaozheng Yin, and Seungil Huh, “Automatic Cell Tracking
Applied to Analysis of Cell Migration in Wound Healing Assay,” The
33rd Annual International Conference of the IEEE Engineering in Medicine and
Biology Society (EMBS),
pp6174-6179, Boston, MA, USA, 2011.
65.
Zhaozheng Yin, Daifei
Ker, and Takeo Kanade, “Restoring DIC Microscopy Images from Multiple
Shear Directions,” The 22nd
biennial International Conference on Information Processing in Medical Imaging
(IPMI), 2011. (IPMI Young Investigator and Travel Award)
66.
Zhaozheng Yin and Takeo Kanade, “Restoring
Artifact-free Microscopy Image Sequences,” IEEE International Symposium on Biomedical Imaging (ISBI),
2011. (NIH Young Investigator and Travel Award)
68. Seungil Huh, Sungeun
Eom, Ryoma Bise, Zhaozheng Yin, and Takeo Kanade, “Mitosis Detection for
Stem Cell Tracking in Phase Contrast Microscopy Images,” IEEE International Symposium on Biomedical
Imaging (ISBI), 2011.
69. Takeo
Kanade, Zhaozheng Yin, Ryoma Bise, Seungil Huh, Sungeun
Eom, Michael Sandbothe, and Mei Chen, “Cell Image Analysis:
Algorithms, System and Application,” IEEE
Workshop on Applications of Computer Vision (WACV), 2011.
70.
Zhaozheng Yin, Kang Li, Takeo Kanade, and Mei Chen,
“Understanding the Optics to Aid Microscopy Image Segmentation,” in
Proceedings of the 13th International
Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
2010. (Young Scientist Award Runner-Up)
71.
Zhaozheng Yin, Ryoma Bise, Mei Chen, and Takeo Kanade,
“Cell Segmentation in Phase Contrast Imagery Using a Bag of Local
Bayesian Classifiers,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2010.
72.
Zhaozheng Yin and Robert Collins, “Shape Constrained
Figure-Ground Segmentation and Tracking,” in Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2009. (NSF Student Paper
and Travel Award) (Best Doctoral Spotlight Award)
73.
Cha Zhang, Zhaozheng Yin, and Dinei Florencio,
"Improving Depth Perception with Motion Parallax and Its Application in
Teleconferencing," IEEE
International Workshop on Multimedia Signal Processing (MMSP), 2009.
(Top 10% Paper Award)
74.
Zhaozheng Yin and Robert Collins, “Online
Figure-Ground Segmentation with Edge Pixel Classification,” in Proceedings of the 19th British Machine
Vision Conference (BMVC), 2008.
75.
Zhaozheng Yin and Robert Collins, “Object Tracking and
Detection after Occlusion via Numerical Hybrid Local and Global
Mode-seeking,” in Proceedings of
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2008.
76.
Zhaozheng Yin, Fathi Porikli, and Robert Collins,
"Likelihood Map Fusion for Visual Object Tracking," in Proceedings of IEEE Workshop on Application
of Computer Vision (WACV), 2008.
77.
Fathi Porikli and Zhaozheng Yin,
"Temporally Static Region Detection in Multi-Camera Systems," in Proceedings of IEEE International Conference
on Computer Vision (ICCV) Workshop on Performance Evaluation of
Tracking and Surveillance (PETS), 2007.
78.
Zhaozheng Yin and Robert Collins, “On-the-fly Object
Modeling while Tracking,” in Proceedings
of IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2007. (IEEE Student Paper and Travel Award)
79.
Zhaozheng Yin and Robert Collins, “Belief Propagation
in a 3D MRF for Moving Object Detection,” in Proceedings of IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), 2007. (IEEE Student
Paper and Travel Award)
80.
Zhaozheng Yin and Robert Collins, “Spatial Divide and
Conquer with Motion Cues for Tracking through Clutter,” in Proceedings of IEEE Conference on Computer
Vision and Pattern Recognition (CVPR), 2006.
81.
Zhaozheng Yin and Robert Collins, “Moving Object
Localization in Thermal Imagery by Forward-backward MHI,” in Proceedings of IEEE Conference on Computer
Vision and Patter Recognition (CVPR) Workshop on Object Tracking and
Classification in and Beyond the Visible Spectrum (OTCBVS), 2006.
Journal
Papers (underscore denotes post-Doctoral/graduate students I have been working
with)
1.
Xin Qian, Ziyu Shu, Salar
Souri, Yizhou Zhao, Zhaozheng Yin, Renee F Farrell, Jinkoo Kim, Jieying Wu, Sam
Ryu, and Tiezhi Zhang. Dual-Source Cone-Beam CT for
HDR Brachytherapy In-Suite Imaging: Simulation Studies of Limited Angle Image
Reconstruction based on Deep Image Prior. Brachytherapy. 2025. Accepted.
2.
Weibin Liao, Xuhong Li, Qingzhong
Wang, Yanwu Xu, Zhaozheng Yin, and Haoyi Xiong, “CUPre:
Cross-domain Unsupervised Pre-training for few-shot cell segmentation,”
Information Fusion, Volume 126, Part B, February 2026. 10.1016/j.inffus.2025.103641 (Impact Factor: 15.5)
3.
Jianxiang Dong, and Zhaozheng Yin,
“Annotation-efficient Hybrid Learning for Temporal Sentence
Grounding,” IEEE Transactions on Circuits and Systems for Video
Technology. Accepted. 2025. (Impact Factor: 8.3)
4.
Jianxiang Dong, and Zhaozheng Yin, “Weakly
Semi-supervised Temporal Sentence Grounding in Videos with Point
Annotations," IEEE Transactions on Multimedia. Accepted. 2025.
(Impact Factor: 8.812)
5.
Haodong Chen, Niloofar Zendehdel, Ming C. Leu, and Zhaozheng
Yin, “A Gaze-Driven Manufacturing Assembly Assistant
System with Integrated Step Recognition, Repetition
Analysis, and Real-Time Feedback," Engineering Applications of
Artificial Intelligence (EAAI). 2025. Accepted. (Impact Factor: 7.5)
6.
Jianxiang Dong, and Zhaozheng Yin, “Graph-based
Dense Event Grounding with Relative Positional Encoding,” Computer
Vision and Image Understanding. 251:104257. February 2025. (Impact Factor:
4.3)
7.
Xiaolong
Xia, Xiong Zhang, Sara Fayek, and Zhaozheng Yin,
“An Improved Table Method for Coded Target Identification with
Application to Photogrammetric Analysis of Soil Specimen during Triaxial
Testing,” Acta Geotechnica. March 2025. (Impact Factor: 6.0)
8.
Chenyu
Zhang, Ke Li, Zhaozheng Yin, and Ruwen Qin,
“Weakly-supervised Structural Component Segmentation via Scribble
Annotation,” Computer-Aided Civil and Infrastructure Engineering.
40(5): 561-578, February 2025. (Impact Factor: 8.5)
9.
Md
Moniruzzaman, and Zhaozheng Yin, “Progressive
Knowledge Distillation from Different Levels of Teachers for Online Action
Detection,” IEEE Transactions on Multimedia. 27:1526-1537,
December 2024.
(Impact Factor: 8.812) 10.1109/TMM.2024.3521772
10. Weixu
Liu, Shuguo Wang, Zhaozheng Yin, and Zhifeng Tang, “Structural Damage Detection of Switch
Rails Using Deep Learning,” Independent Nondestructive Testing and
Evaluation (NDT&E International). 2024. Accepted. (Impact Factor: 4.1)
11. Md Moniruzzaman,
and Zhaozheng Yin, “Feature Weakening, Contextualization, and
Discrimination for Weakly Supervised Temporal Action Localization,” IEEE
Transactions on Multimedia. 26: 270-283. 2024. (Impact Factor: 8.812)
10.1109/TMM.2023.3263965
12. Jonathan Weber, Hritam
Basak, Yu Li, Zhaozheng Yin, and J. Jane Cao, “Fusion of Radiomics
and Deep-learning Features for Improved Myocardial Scar Identification for
Hypertrophic Cardiomyopathy from CINE Images,” Journal of Cardiovascular
Magnetic Resonance, 26(1): 100141. March 2024. (Impact Factor: 4.2)
13. Muhammad Monjurul
Karim, Zhaozheng
Yin, and Ruwen Qin, “An Attention-guided Multistream
Feature Fusion Network for Early Localization of Risky Traffic Agents in
Driving Videos,” IEEE Transactions on Intelligent Vehicles. 9(1):
1792-1803. January 2024. (Impact Factor: 5.009)
14. Chenyu Zhang, Zhaozheng
Yin, and Ruwen Qin, “Attention-Enhanced Co-Interactive Fusion Network
(AECIF-Net) for Automated Structural Condition Assessment in Visual
Inspection,” Automation in Construction. Accepted. 2024. (Impact
Factor: 10.3).
15.
Jianxiang Dong, Zhaozheng Yin, Dale Kreitler, Herbert J.
Bernstein, and Jean Jakoncic, “Bragg Spot Finder (BSF): A New
Machine-Learning Aided Approach to Deal with Spot Finding for Rapidly Filtering
Diffraction Pattern Images,” Journal of Applied Crystallography. 57:670-680. April 2024. (Impact Factor: 6.1).
16.
Md
Moniruzzaman, Zhaozheng Yin, Md Hossain, Hwan Choi, and Zhishan Guo, “Wearable Motion Capture: Reconstructing
and Predicting 3D Human Poses from Wearable Sensors,” IEEE Journal of
Biomedical and Health Informatics (J-BHI). 27(11): 2168-2208. November
2023. (Impact Factor: 7.7)
17.
Haodong Chen, Niloofar Zendehdel, Ming C. Leu, and Zhaozheng
Yin, “Real-time Human-Computer Interaction Using Eye Gazes,” Manufacturing
Letters. 35, pp.883-894. June 2023. (Impact Factor: 3.9).
https://doi.org/10.1016/j.mfglet.2023.07.024
18.
Haodong Chen, Niloofar Zendehdel, Ming C. Leu, and Zhaozheng
Yin, “Fine-Grained Activity Classification in Assembly Based on
Multi-Visual Modalities,” Journal of Intelligent Manufacturing.
Accepted. May 2023. (Impact Factor: 7.136).
19.
Md
Moniruzzaman, and Zhaozheng Yin, “Collaborative
Foreground, Background, and Action Modeling Network for Weakly Supervised
Temporal Action Localization,” IEEE Transactions on Circuits and
Systems for Video Technology. 33(11): 6939-6951. November 2023. (Impact
Factor: 8.3)
20. Md Moniruzzaman, Zhaozheng
Yin, Zhihai He, Ming Leu, and Ruwen Qin,
“Jointly-Learnt Networks for Future Action Anticipation via
Self-Knowledge Distillation and Cycle Consistency,” IEEE Transactions
on Circuits and Systems for Video Technology. 33(7):
3243-3256. July 2023. (Impact Factor: 8.3)
21.
Liang
Han,
Hang Su and Zhaozheng Yin, “Phase Contrast Image Restoration by Mathematically Formulating Its
Imaging Principle and Reversing the Formulation with Deep Neural Networks,” IEEE
Transactions on Medical Imaging. 42(4): 1068-1082, April 2023. (Impact
Factor: 11.037) 10.1109/TMI.2022.3223677
22.
Liang
Han, and Zhaozheng Yin, “Global Memory and Local
Continuity for Video Object Detection,” IEEE Transactions on Multimedia. 25: 3681-3693. 2022. (Impact
Factor: 8.182)
23.
Muhammad
Monjurul Karim, Yu Li, Ruwen Qin, and Zhaozheng Yin, “A
Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic
Accidents," IEEE Transactions on
Intelligent Transportation Systems. 23(7): 9590-9600. July 2022. (Impact Factor: 9.551)
24.
Haodong Chen, Ming Leu, and Zhaozheng Yin, “Real-Time Multi-modal Human-Robot
Collaboration Using Gestures and Speech,” Journal of Manufacturing Science and Engineering. 144(10):101007.
2022. (Impact Factor: 3.952)
25.
Liang
Han, Pichao Wang, Zhaozheng Yin, Fang
Wang, and Hao Li, “Context and Structure Mining Network for Video Object
Detection,”
International Journal of Computer Vision.
129: 2927-2946, 2021. (Five-year Impact Factor: 13.284)
26.
Liang
Han, Pichao Wang, Zhaozheng Yin, Fang
Wang, and Hao Li, “Class-aware Feature Aggregation Network for Video
Object Detection,” IEEE
Transactions on Circuits and Systems for Video Technology. 32(12):
8165-8178, December 2022. (Impact Factor: 5.859) DOI: 10.1109/TCSVT.2021.3094533
27.
Xiaolong
Xia, Sara Fayek, Xiong Zhang, and Zhaozheng Yin, “A Table
Method for Coded Target Decoding with Application to 3-D Reconstruction of Soil
Specimens during Triaxial Testing,” Acta
Geotechnica. 2021. Accepted. (Impact Factor:
5.856)
28.
Md
Al-Amin, Ruwen Qin, Md Moniruzzaman, Zhaozheng Yin, Wenjin Tao, and Ming Leu, “An
Individualized System of Skeletal Data-Based CNN Classifiers for Action
Recognition in Manufacturing Assembly”, Journal of Intelligent Manufacturing. 34:633-649. 2023. (Impact Factor: 6.485)
29.
Zhichao Liu, Luhong Jin, Jincheng Chen, Qiuyu Fang, Zhaozheng Yin, and Yingke
Xu, “A Survey on Applications of Deep Learning in Microscopy Image
Analysis,” Computers in Biology and
Medicine, 134:104523, 2021. (Impact Factor: 4.589)
30.
Hao
Sun, Zhiqun Zhao, Zhaozheng Yin, and Zhihai He, “Reciprocal Twin Networks for Pedestrian
Motion Learning and Future Path Prediction,” IEEE Transactions on Circuits and Systems for Video Technology.
32(3): 1483-1497. March 2022. DOI: 10.1109/TCSVT.2021.3076078 (Impact Factor:
4.685)
31.
Muhammad
Monjurul Karim,
Ruwen Qin, Zhaozheng Yin, and Genda Chen, “A Semi-supervised
Self-training Method to Develop Assistive Intelligence for Segmenting
Multiclass Bridge Elements from Inspection Videos,” Structure Health Monitoring. 21(3). May 2021. (Impact Factor: 5.929)
32.
Md
Moniruzzaman, Zhaozheng Yin, Zhihai He, Ruwen
Qin, and Ming Leu, “Human Action Recognition by Discriminative Feature
Pooling and Video Segment Attention Model,” IEEE Transactions on Multimedia. 24: 689-701. 2021. DOI: 10.1109/TMM.2021.3058050. (Impact Factor: 8.182)
33.
Tianyi
Zhao, and Zhaozheng
Yin, “Weakly Supervised Cell Segmentation by Point Annotation,” IEEE Transactions on Medical Imaging.
40(10): 2736-2747. October 2021. DOI: 10.1109/TMI.2020.3046292.
(Impact
Factor: 10.048)
34.
Young
Anna Argyris, Kafui Monu, Yongsuk Kim, Yilu Zhou, Zuhui Wang,
and Zhaozheng Yin, “Using Speech Acts to Elicit Positive Emotions for
Complainants on Twitter,” Journal
of Interactive Marketing. 2021. Accepted. (Impact Factor: 6.258)
35.
Yu Li,
Md Karim, Ruwen Qin, Zeyi Sun, Zuhui
Wang, and Zhaozheng Yin, “Crash Report Data Analysis for Creating
Scenario-wise Spatio-temporal Attention Guidance to
Support Computer Vision-based Perception of Fatal Crash Risks,” Accident
Analysis & Prevention, 151: 105962, March 2021. (Impact Factor: 4.993)
36.
Zuhui Wang, Zhaozheng Yin, and Young Anna Argyris, “Detecting
Medical Misinformation on Social Media Using Multimodal Deep Learning,” IEEE Journal of Biomedical and Health
Informatics. 25(6):2193-2203. June 2021. (Impact Factor: 7.7). DOI: 10.1109/JBHI.2020.3037027
37.
Young Anna
Argyris, Zuhui Wang, Yongsuk Kim, and Zhaozheng Yin,
“The Effects of Visual Congruence on Increasing Consumers’ Brand
Engagement: An Empirical Investigation of Influencer Marketing on Instagram
Using Deep-learning Algorithms for Automatic Image Classification,” Computers in Human Behavior, 112:
106443, November 2020. (Impact Factor: 6.829)
38.
Wenjin Tao, Ming C Leu, and Zhaozheng Yin, “Multi-Modal
Recognition of Worker Activity for Human-Centered Intelligent
Manufacturing,” Engineering
Applications of Artificial Intelligence (EAAI), 95: 103868. October 2020. (Impact
Factor: 6.212)
39.
Md Al-Amin,
Ruwen Qin, Wenjin Tao, David Doell,
Ravon Lingard, Zhaozheng Yin, and Ming C. Leu, “Fusing and Refining
Convolutional Neural Network Models for Assembly Action Recognition in Smart
Manufacturing,” Journal of Mechanical Engineering Science, June 2020.
(Impact factor: 1.762)
40.
Ze-Hao
Lai, Wenjin Tao, Ming C. Leu, and Zhaozheng Yin,
“Smart Augmented Reality Instructional System for Mechanical Assembly
Towards Worker-Centered Intelligent Manufacturing,” Journal of Manufacturing Systems, Volume 55, Pages 69-81, April
2020. (Impact Factor: 8.633)
41.
Yunxiang Mao, Liang Han, and Zhaozheng Yin, “Cell Mitosis
Event Analysis in Phase Contrast Microscopy Images Using Deep Learning,” Medical Image Analysis. 57: 32-43, 2019.
(Impact Factor: 11.148)
42.
Wenjin Tao, Ze-Hao
Lai, Ming C. Leu, Zhaozheng Yin, and Ruwen Qin, “A Self-aware and
Active-guiding Training & Assistant System for Worker-centered Intelligent
Manufacturing,” Manufacturing
Letters, Volume 21, Pages 45-49, August 2019. (Impact factor: 3.530)
43.
Wenjin Tao, Ming C Leu, and Zhaozheng Yin, “American Sign
Language Alphabet Recognition Using Convolutional Neural Networks with
Multiview Augmentation and Inference Fusion,” Engineering Applications of Artificial Intelligence, 76: 202-213,
2018. (Impact Factor: 6.212)
44. Dai
Fei Elmer Ker, Sungeun Eom, Sanami Sho, Ryoma Bise,
Corinne Pascale, Zhaozheng Yin, Seung-il Huh, Elvira Osuna-Highley, Silvina
Junkers, Casey Helfrich, Peter Yongwen Liang, Jiyan Pan, Soojin Jeong, S.
Steven Kang, Jinyu Liu, Ritchie Nicolson, Michael Sandbothe, Phu Van, Anan Liu,
Mei Chen, Takeo Kanade, Lee Weiss, and Phil Campbell, “Phase Contrast
Time-lapse Microscopy Datasets with Automated and Manual Cell Tracking
Annotations,” Nature Research,
Scientific Data. 5:180237, 2018. (Impact
Factor: 5.541)
45. Liang
Han
and Zhaozheng Yin, “Learning to Transfer Microscopy Image
Modalities,” Machine Vision and
Applications. 29: 1257-1267, 2018. (Impact
Factor: 2.012)
46.
Haohan Li, Zhaozheng Yin, Paul
Manley, Joel Burken, Nadia Shakoor, Noah Fahlgren, and Todd Mockler,
“Early Drought Stress Detection with Bidirectional Long Short-Term Memory
Networks,” Photogrammetric
Engineering & Remote Sensing.
84(7): 459-468, July 2018 (Impact Factor: 3.15)
47.
Nolan
Ferral, Kyara Holloway, Mingzhong Li, Zhaozheng Yin, and Chen Hou, “Heterogeneous Activity
Causes a Nonlinear Increase in the Group Energy Use of Ant Workers Isolated
from Their Social Environment," Insect
Science. 25(3): 487-498. 2018.
(Impact Factor: 3.262)
48.
Mingzhong Li and Zhaozheng
Yin, “Debugging Object Tracking by a Recommender System with Correction
Propagation,” IEEE Transactions on
Big Data. 3(4): 429-442, December 2017. (Impact Factor: 5.67)
49.
Srinivas
Thandu, Pratool Bharti, Sriram
Chellappan, and Zhaozheng Yin, “Leveraging Multi-modal Smartphone Sensors
for Ranging and Estimating the Intensity of Explosion Events,” Pervasive and Mobile Computing.
Elsevier. Vol 40: 185-204. September 2017 (Impact Factor: 3.453)
50.
Haohan Li, Yunxiang Mao, Zhaozheng
Yin, and Yingke Xu, “A Hierarchical
Convolutional Neural Network for Vesicle Fusion Event Classification,” Computerized Medical Imaging and Graphics.
Elsevier. Vol 60: 22-34, September 2017. (Impact
factor: 4.79). (Invited Paper from MICCAI/CMMI2015)
51.
Wenchao
Jiang and Zhaozheng
Yin, “Indoor Localization with a Signal Tree,” Multimedia Tools and Applications. Springer. 76(19): 20317-20339.
October 2017. (Impact Factor: 2.757)
52.
Wenchao
Jiang and Zhaozheng Yin, “Combining Passive Visual Cameras
and Active IMU Sensors for Persistent Pedestrian Tracking,” Journal of Visual Communication and Image
Representation. Elsevier. 48: 419-431. October 2017. (Impact Factor: 2.678)
53.
Wenchao
Jiang and Zhaozheng Yin, “Seeing the Invisible in
Differential Interference Contrast Microscopy Images,” Medical Image Analysis. 34: 65-81.
December 2016. (Impact Factor: 11.148) (Special issue
of best papers of MICCAI2015)
54.
Hang
Su, Zhaozheng Yin, Seungil Huh,
Takeo Kanade, and Jun Zhu, “Interactive Cell Segmentation based on Active
and Semi-supervised Learning,” IEEE
Transactions on Medical Imaging. 35(3):762-777, March 2016. (Impact Factor:
10.048)
56.
Zhaozheng
Yin, Hang Su, Elmer Ker, Mingzhong
Li, and Haohan Li, “Cell
Sensitive Phase Contrast Microscopy Imaging by Multiple Exposures,” Medical Image Analysis. 25(1): 111-121.
October 2015. (Impact Factor: 11.148) (Special issue of
best papers of MICCAI2014)
57.
Zhaozheng
Yin, Chenglin Wu, and Genda Chen, “Concrete
Crack Detection through Full-filed Displacement and Curvature Measurements by
Visual Mark Tracking: A Proof-of-Concept Study,” Structure Health Monitoring. 13(2): 245-258. February 2014. (Impact
Factor: 5.929)
58.
Hang
Su, Zhaozheng Yin, Seungil Huh, and
Takeo Kanade, “Cell Segmentation in Phase Contrast Microscopy Images via
Semi-supervised Classification over Optics-related Features,” Medical Image Analysis. 17(7): 746-765,
October 2013. (Impact Factor: 11.148) (Special issue of
best papers of MICCAI2012)
59.
Ruwen
Qin, Jing Fu, Zhaozheng Yin, and Changxi Zheng, “Large Scale Process Optimization for Focused
Ion Beam 3D Nanofabrication,” The
International Journal of Advanced Manufacturing Technology. 64: 587-600.
January 2013. (Impact Factor: 3.226)
60.
Zhaozheng
Yin, Takeo Kanade, and Mei Chen, “Understanding the Phase Contrast Optics
to Restore Artifact-free Microscopy Images for Segmentation,” Medical Image Analysis. 16(5):
1047-1062, July 2012. (Impact Factor: 11.148) (Top 25
Hottest Articles in Medical Image
Analysis) (Special issue of best papers of MICCAI2010)
61.
Elmer
Ker, Lee Weiss, Silvina Junkers, Mei Chen, Zhaozheng Yin,
Michael F. Sandbothe, Seung-il Huh, Sungeun Eom,
Ryoma Bise, Elvira Osuna-Highley, Takeo Kanade, and Phil G. Campbell, “An
Engineered Approach to Stem Cell Culture: Automating the Decision Process for
Real-Time Adaptive Subculture of Stem Cells,” PLoS ONE. 6(11): e27672. November 2011. (Impact Factor: 4.09)