Pheng‐Ann Heng

Chinese University of Hong Kong — Hong Kong

Computer Science · Physical Sciences

108h-index53.7kcitations1.0kworks6.02yr avg
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Research Topics

Medical Image Segmentation Techniques(144), Advanced Neural Network Applications(120), Computer Graphics and Visualization Techniques(104), 3D Shape Modeling and Analysis(101), Radiomics and Machine Learning in Medical Imaging(93)

Publications1.0k total

A Survey on Inference Optimization Techniques for Mixture of Experts Models
ACM Computing Surveys·2026· 1 citedOpen Access
ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation
arXiv (Cornell University)·2025Open Access
Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation
arXiv (Cornell University)·2025Open Access
CONFIDE: Hallucination Assessment for Reliable Biomolecular Structure Prediction and Design
arXiv (Cornell University)·2025Open Access
Transformer-Enhanced Generative Adversarial Networks for Improving MR Image Quality in Prostate Imaging
2025Open Access
Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search
arXiv (Cornell University)·2025Open Access
Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond
arXiv (Cornell University)·2025Open Access
RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design
arXiv (Cornell University)·2025Open Access
DiTAC: Discrete Teamwork Abstraction for Ad Hoc Collaboration
Frontiers in artificial intelligence and applications·2025Open Access
ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
2025
ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
arXiv (Cornell University)·2025Open Access
InstructPLM-mu: 1-Hour Fine-Tuning of ESM2 Beats ESM3 in Protein Mutation Predictions
arXiv (Cornell University)·2025Open Access
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
arXiv (Cornell University)·2025Open Access
Automatic prediction of depth of invasion in oral tongue squamous cell carcinoma using a multimodal regression network fusing prior text and anatomical knowledge
Medical Image Analysis·2025
Unified and explainable molecular representation learning for imperfectly annotated data from the hypergraph view
Nature Communications·2025· 1 citedOpen Access
Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework
Advanced Science·2025· 3 citedOpen Access
A deep reinforcement learning platform for antibiotic discovery
2025· 1 citedOpen Access
Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
Lecture notes in computer science·2025
ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
Lecture notes in computer science·2025
Medical Large Vision Language Models with Multi-image Visual Ability
Lecture notes in computer science·2025· 1 cited
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Frequent Co-authors

Hao Chen(28), Qi Dou(24), Lequan Yu(17), Jing Qin(17), Chi‐Wing Fu(15), Xin Yang(7), Xiaomeng Li(6), Xiaojuan Qi(6), Xiaowei Hu(6), Cheng Chen(5), Nasir Rajpoot(4), Klaus Maier‐Hein(4), Yueming Jin(4), Lei Zhu(4), Mahendra Khened(3), Ganapathy Krishnamurthi(3), Fabian Isensee(3), Paul F. Jäger(3), Colin Jacobs(3), Georgios Kaissis(3)