Publications
1. Shreya
Biswas, and Zhaozheng Yin, “Mitigating Pose-Scale Discrepancy Bias
and Reforming Multi-Support Reasoning for Few-Shot Semantic
Segmentation,” the 19th European Conference on Computer Vision (ECCV),
2026.
2. Hritam
Basak, Hadi Tabatabaee, Xin Yang, Shreekant Gayaka, Nan
Qiao, Yuyin Sun, Cheng-Hao Kuo, Zhaozheng
Yin, and Min Sun, “Exo2EgoPolicy: Pose-Aligned Cross-View Policy
Learning,” the 19th European Conference on Computer Vision (ECCV),
2026.
3. Hritam
Basak, and Zhaozheng Yin, “Fixed Reality, Diffused Possibility:
Disentangling Stochastic and Deterministic Latent for Cluttered
Grasping,” the 19th European Conference on Computer Vision (ECCV),
2026.
4. Hritam
Basak, and Zhaozheng Yin, “PhysioSplat:
Physics-Informed Dynamic Gaussian Splatting for Surgical Scene
Reconstruction,” the 29th International Conference on Medical Image
Computing and Computer Assisted Intervention (MICCAI), 2026.
5. Jamalia
Sultana, Ruwen Qin, and Zhaozheng Yin, “RadGaze-LLM:
Anatomical Region-Grounded Radiology Report Generation via Learning from Expert
Gaze,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2026.
6. Jianxiang
Dong, Zhaozheng Yin, Herbert
J. Bernstein, and Jean Jakoncic, “Content-Aware Image Compression
Model for Macromolecular Crystallography Data,”
IEEE International Symposium on
Biomedical Imaging (ISBI), 2026.
7. Shreya
Biswas, and Zhaozheng Yin, “DOTGraph:
CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning
for Few-Shot Segmentation,” IEEE/CVF Winter Conference on Applications
of Computer Vision (WACV), 2026.
8. 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.
9. 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.
10. 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.
11. 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.
12.
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.
13. 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.
14. 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.
15.
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.
16. 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.
17.
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.
18.
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.
19.
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.
20.
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.
21.
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.
22.
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.
23.
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.
24.
Jianxiang Dong,
and Zhaozheng Yin, “Boundary-aware Temporal Sentence Grounding with Adaptive
Proposal Refinement,” the 16th Asian Conference on Computer
Vision (ACCV), 2022.
25. 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.
26. Zuhui Wang, and Zhaozheng Yin,
“Annotation-efficient Cell Counting,” the 24th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI), 2021.
27. 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.
28. Zuhui Wang, and Zhaozheng Yin, “Cell
Counting by a Location-Aware Network,” the 12th International Workshop on Machine Learning in
Medical Imaging (MLMI), 2021.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40.
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.
41. 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)
42.
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)
43. 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.
44.
Liang Han
and Zhaozheng Yin, “Refocusing Phase Contrast Microscopy Images,” the 20th International Conference on Medical
Image Computing and Computer Assisted Intervention (MICCAI), 2017.
45. Liang
Han
and Zhaozheng Yin, “Transferring Microscopy Image Modalities with
Conditional Generative Adversarial Networks,” CVPR Workshop on Computer
Vision for Microscopy Image Analysis, 2017.
46.
Haohan
Li, Zhaozheng Yin, and Yingke Xu, “A Deep Learning Framework for Automated
Vesicle Fusion Detection,” IEEE International Symposium on Biomedical Imaging
(ISBI), 2017.
47.
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.
48. 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.
49.
Mingzhong
Li and Zhaozheng Yin, “Cell
Segmentation using Stable Extremal Regions in Multi-exposure Microscopy
Images,” IEEE International
Symposium on Biomedical Imaging (ISBI), 2016.
50.
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.
51.
Wenchao Jiang
and Zhaozheng Yin, “Human Tracking using Wearable Sensors in the
Pocket,” IEEE Global Conference on Signal & Information Processing (GlobalSIP), 2015.
52.
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.
53.
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.
54.
Mingzhong
Li and Zhaozheng Yin,
“Co-restoring Multimodal Microscopy Images,” the 18th International Conference on Medical Image Computing and
Computer Assisted Intervention (MICCAI), 2015.
55.
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)
56.
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.
57.
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.
58.
Wenchao
Jiang and
Zhaozheng Yin, “Indoor Localization by Signal Fusion,” the 18th
International Conference on Information Fusion (FUSION), 2015.
59.
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.
60. 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)
61.
Yunxiang
Mao, Zhaozheng Yin, and Joseph M.
Schober, “Iteratively Training Classifiers for Circulating Tumor Cell
Detection,” IEEE International
Symposium on Biomedical Imaging (ISBI), 2015.
62.
Yunxiang
Mao and Zhaozheng Yin,
“Training a Scene-Specific Pedestrian Detector Using Tracklets,”
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015.
63.
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.
64.
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.
65. 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)
66.
Hang Su,
Zhaozheng Yin, Takeo Kanade, and Seungil
Huh, “Interactive Cell Segmentation based on Correction
Propagation,” IEEE International
Symposium on Biomedical Imaging (ISBI), 2014.
67. 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.
68.
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.
69.
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)
70.
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.
71.
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.
72.
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)
73.
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)
75. 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.
76. 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.
77.
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)
78.
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.
79.
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)
80.
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)
81.
Zhaozheng Yin and Robert Collins, “Online Figure-Ground
Segmentation with Edge Pixel Classification,” in Proceedings of the 19th British Machine Vision Conference (BMVC),
2008.
82.
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.
83.
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.
84.
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.
85.
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)
86.
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)
87.
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.
88.
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. Jianxiang Dong, and Zhaozheng Yin,
“Annotation-efficient Hybrid Learning for Temporal Sentence
Grounding,” IEEE Transactions on Circuits and Systems for Video
Technology. 36(2): 2594-2606, February 2026. (Impact Factor: 8.3)
2.
Jianxiang
Dong, and Zhaozheng Yin, “Weakly
Semi-supervised Temporal Sentence Grounding in Videos with Point
Annotations," IEEE Transactions on Multimedia. 28:2268-2278.
January 2026. (Impact Factor: 8.812)
3. Chenyu Zhang, Charlotte Liu, Ke Li, Zhaozheng Yin, and
Ruwen Qin, “Inspector gaze-guided multitask learning for explainable
structural damage assessment,” Computer-Aided Civil and Infrastructure
Engineering. 40(30): 5824-5841. December 19 2025. (Impact Factor: 8.5)
4. 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.
5.
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)
6.
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)
7.
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)
8.
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)
9.
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)
10.
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
11. 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)
12. 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
13. 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)
14. 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)
15. 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).
16.
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).
17.
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)
18.
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
19.
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).
20.
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)
21. 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)
22.
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
23.
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)
24.
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)
25.
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)
26. 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)
27. 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
28. 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)
29. 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)
30.
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)
31. 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)
32. 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)
33. 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)
34.
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)
35.
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)
36.
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)
37. 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
38.
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)
39.
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)
40.
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)
41.
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)
42.
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)
43. 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)
44.
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)
45. 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)
46. Liang
Han
and Zhaozheng Yin, “Learning to Transfer Microscopy Image
Modalities,” Machine Vision and
Applications. 29: 1257-1267, 2018. (Impact Factor: 2.012)
47. 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)
48.
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)
49. 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)
50. 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)
51.
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)
52.
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)
53.
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)
54. 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)
55. 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)
57. 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)
58. 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)
59. 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)
60.
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)
61. 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)
62. 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)