Dongdong Chen

Microsoft (United States) — United States

Computer Science · Physical Sciences

18h-index1.3kcitations92works1.52yr avg
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Research Topics

Generative Adversarial Networks and Image Synthesis(9), AI in cancer detection(8), Sparse and Compressive Sensing Techniques(7), Domain Adaptation and Few-Shot Learning(7), Radiomics and Machine Learning in Medical Imaging(7)

Publications91 total

A novel morphological descriptor for multiphase microstructure reconstruction
Journal of Microscopy·2025
Multi-Path Collaborative Reasoning via Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Macrophage polarization in organ transplantation rejection and targeted therapeutic strategies
Transplant Immunology·2025· 1 citedOpen Access
Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis
arXiv (Cornell University)·2025Open Access
Optimized design of porous dental implant structures based on triply periodic minimal surface (TPMS)
Biomedizinische Technik/Biomedical Engineering·2025· 1 citedOpen Access
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
arXiv (Cornell University)·2025Open Access
VLM4D: Towards Spatiotemporal Awareness in Vision Language Models
arXiv (Cornell University)·2025· 1 citedOpen Access
FedSH: Tackling Staleness By Scheduling High-order Approximation in Asynchronous Federated Learning
2025
SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields
2025
GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning
arXiv (Cornell University)·2025Open Access
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
2025
ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL
arXiv (Cornell University)·2025Open Access
ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning
arXiv (Cornell University)·2025Open Access
LiD-FL: Towards List-Decodable Federated Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
MolEM: a unified generative framework for molecular graphs and sequential orders
Briefings in Bioinformatics·2025Open Access
Combining pelvic floor ultrasonography with deep learning to diagnose anterior compartment organ prolapse
Quantitative Imaging in Medicine and Surgery·2025· 3 citedOpen Access
OmniTracker: Unifying Visual Object Tracking by Tracking-With-Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025· 10 cited
Rethinking neural architecture representation for predictors: Topological encoding in pixel space
Information Fusion·2025
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning
2025Open Access
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Frequent Co-authors

Mike E. Davies(10), Seok‐Bum Ko(6), Heyi Li(5), William H. Nailon(5), David Laurenson(5), Lichi Zhang(5), Jiancheng Lv(4), Changhua Zhang(4), Hao Zhang(3), Yi Zhang(3), Xiaohai He(3), Qizhi Teng(3), Julián Tachella(3), Mohammad Golbabaee(3), Lei Shi(3), Mengjun Liu(3), Qian Wang(3), Younhee Choi(2), Zhengji Li(2), Zujun Zheng(2)