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Zhaozheng Yin Department of Computer Science Department of Biomedical Informatics Contact: |
[Students]
[Publication] [Teaching] [Service] [Bio]
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Openings: I am looking
for talented PhD students to join my research group in fall 2027 to work
in the fields of Computer Vision, Machine Learning, Biomedical Image
Analysis, and Robotics. Note: there are too many inquiry emails every day. I apologize for not replying to you. You can directly apply via the SBU application portal. If you have anything special to trigger my attention on your application (e.g., publications in top CV and ML conferences), you are welcome to drop me a line.
News: · June 2026: Congratulations for the recent
paper acceptances: Ø Hritam Basak: “Exo2EgoPolicy:
Pose-Aligned Cross-View Policy Learning,” the 19th European Conference
on Computer Vision (ECCV), 2026 [GitHub] Ø Hritam Basak: “Fixed Reality,
Diffused Possibility: Disentangling Stochastic and Deterministic Latent for
Cluttered Grasping,” the 19th European Conference on Computer Vision (ECCV),
2026 [GitHub] Ø Shreya Biswas: “Mitigating
Pose-Scale Discrepancy Bias and Reforming Multi-Support Reasoning for
Few-Shot Semantic Segmentation,” the 19th European Conference on
Computer Vision (ECCV), 2026 [GitHub] Ø Hritam Basak: “PhysioSplat:
Physics-Informed Dynamic Gaussian Splatting for Surgical Scene
Reconstruction,” the 29th International Conference on Medical Image
Computing and Computer Assisted Intervention (MICCAI), 2026 [GitHub] Ø Jamalia Sultana: “RadGaze-LLM:
Anatomical Region-Grounded Radiology Report Generation via Learning from
Expert Gaze,” IEEE International Symposium on Biomedical Imaging (ISBI),
2026 Ø Jianxiang Dong: “Content-Aware Image
Compression Model for Macromolecular Crystallography Data,” IEEE
International Symposium on Biomedical Imaging (ISBI), 2026 Ø Shreya Biswas: “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 · May 2026: Congratulations to Jianxiang
Dong and Hritam Basak for their successful PhD defenses! They will
join ByteDance and Amazon Robotics, respectively. · January 2026: Yin will be the Area Chair
of MICCAI2026 and ECCV2026. · September 2025: Congratulations for the
recent paper acceptances: Ø Hritam Basak: “VisPLA: Visual
Iterative Self-Prompting for Language-Guided 3D Affordance Learning,”
the 39th Annual Conference on Neural Information Processing Systems (NeurIPS),
2025 Ø Hritam Basak: “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. Ø Jignesh Gutta: “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. Ø Hritam Basak, “Enhancing Single
Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion
Priors,” IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS), 2025. Ø Jianxiang Dong:
“Annotation-efficient Hybrid Learning for Temporal Sentence
Grounding,” IEEE Transactions on Circuits and Systems for Video
Technology (TCSVT). 2025. Ø Jianxiang Dong: “Weakly Semi-supervised
Temporal Sentence Grounding in Videos with Point Annotations," IEEE
Transactions on Multimedia (TMM). 2025. · February 2025: Congratulations for the
paper acceptances: Ø Hritam Basak: “SemiDAViL:
Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic
Segmentation,”
CVPR. Ø Yuanhao Zou (a volunteer master researcher
from U-Michigan), “Alignment, Mining and Fusion:
Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion
for Medical Visual Question Answering,” CVPR. Ø Jianxiang Dong: “Graph-based Dense
Event Grounding with Relative Positional Encoding,” Computer Vision and
Image Understanding (CVIU). · January 2025: Yin will be an Area Chair of
ICCV2025 and MICCAI2025. · October 2024: Congratulations to Md
Moniruzzaman on a successful PhD defense! He will be the founding AI
Research Scientist of a startup working on generative AI at Silicon Valley. · October 2024: Congratulations to the group
members for the recent paper acceptances: Ø Md Moniruzzaman: “Progressive
Knowledge Distillation from Different Levels of Teachers for Online Action
Detection,” IEEE Transactions on Multimedia (TMM). Ø Jamalia Sultana: “Seeing Through
Expert’s Eyes: Leveraging Radiologist Eye Gaze and Speech Report with
Graph Neural Networks for Chest X-ray Image Classification,” Asian
Conference on Computer Vision (ACCV). Ø Chenyu Zhang: “Weakly-supervised
Structural Component Segmentation via Scribble Annotation,” Computer-Aided
Civil and Infrastructure Engineering. · August 2024: Welcome new PhD students,
Rishav Pramanik and Zikai Liao, joining our group. · July 2024: Congratulations to the group
members for the recent paper acceptances: Ø Hritam Basak: “Domain-specific
Feature Unlearning for Semi-supervised and Unsupervised Domain
Adaptation,” ECCV. Ø Hritam Basak: “Quest for Clone:
Test-time Domain Adaptation for Medical Image Segmentation by Searching the
Closest Clone in Latent Space,” MICCAI. Ø Jignesh Gutta: “Med-Former: A
Transformer based Architecture for Medical Image Classification,” MICCAI. Ø Chenyu Zhang: “Attention-Enhanced
Co-Interactive Fusion Network (AECIF-Net) for Automated Structural Condition
Assessment in Visual Inspection,” Automation in Construction. Ø Jianxiang Dong: “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. Ø Hritam Basak: “Fusion of Radiomics and
Deep-learning Features for Improved Myocardial Scar Identification for
Hypertrophic Cardiomyopathy from CINE Images,” Journal of
Cardiovascular Magnetic Resonance. · February 2024: Yin will be an Area Chair
of MICCAI 2024. · November 2023: congratulations to Roshan
Kenia on his paper “Robust TRISO-Fueled Pebble Identification by Digit
Recognition” being accepted by WACV. · August 2023: Ø
Welcome
new PhD students, Shreya Biswas and Jamalia Sultana, joining our
group! Ø
Congratulations
to Md Moniruzzaman on his paper “Wearable Motion Capture: Reconstructing and Predicting 3D Human Poses
from Wearable Sensors” being accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI)! Ø
Our
project on human pose analysis and walking environment analysis via wearable
sensors was funded by NSF (2023-2027)! · June 2023: Ø
Congratulations
to Monjurul on his PhD defense! He will join University of Washington
as a Postdoc. Ø
Congratulations
to Liang Han to join HIT-Shenzhen as an Assistance Professor. · May 2023: congratulations to Roshan
Kenia wining Researchers of the Month from Undergraduate Research &
Creativity Activities program at Stony Brook University, as a graduating
senior. Roshan will pursue his MS degree in Computer Science at Columbia
University in fall 2023. · May 2023: Congratulations to the group
members for the recent paper acceptances: Ø Hritam Basak: “Semi-supervised
Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled
Contrastive Learning,” MICCAI. Ø Jignesh Gutta: “Diffusion
Transformer U-Net for Medical Image Segmentation,” MICCAI. Ø Muhamad Monjurul Karim: “An
Attention-guided Multistream Feature Fusion Network for Early Localization of
Risky Traffic Agents in Driving Videos,” IEEE Transactions on
Intelligent Vehicles (TIV). Ø Md Moniruzzaman: “Collaborative
Foreground, Background, and Action Modeling Network for Weakly Supervised
Temporal Action Localization,” IEEE Transactions on Circuits and Systems
for Video Technology (TCSVT). Ø Md Moniruzzaman: “Feature Weakening,
Contextualization, and Discrimination for Weakly Supervised Temporal Action
Localization,” IEEE Transactions on Multimedia (TMM). · March 2023: Congratulations to the group
members for the recent paper acceptances: Ø Hritam Basak: “Pseudo-label Guided
Contrastive Learning for Semi-supervised Medical Image Segmentation,” CVPR. Ø Md Moniruzzaman: “Jointly-Learnt
Networks for Future Action Anticipation via Self-Knowledge Distillation and Cycle
Consistency,” IEEE Transactions on Circuits and Systems for Video
Technology (TCSVT). Ø Liang Han: “Phase Contrast Image
Restoration by Mathematically Formulating Its Imaging Principle and Reversing
the Formulation with Deep Neural Networks,” IEEE Transactions on
Medical Imaging (TMI). · Sep 2022: Congratulations to the group
members for the recent paper acceptances: Ø
Jianxiang
Dong: “Boundary-aware Temporal Sentence Grounding with Adaptive
Proposal Refinement,” ACCV. Ø
Liang
Han: “Global Memory and Local Continuity for Video Object
Detection,” IEEE Transactions on Multimedia (TMM). Ø Muhammad Monjurul Karim: “Dynamic Spatial-temporal
Attention Network for Early Anticipation of Traffic Accidents," IEEE Transactions on Intelligent
Transportation Systems (ITS). · August 2022: Congratulations to Liang for
his PhD defense! He will continue in our lab as a Postdoc Fellow. · August 2022: Welcome new Ph.D. students,
Hritam Basak and Jignesh Gutta, joining our group! |
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