Pheng Ann Heng
Choh-Ming Li Professor of Computer Science and Engineering
Develops AI and virtual reality for medical applications, including medical image analysis and surgical simulation.
Pheng Ann Heng's lab at CUHK works on medical imaging & healthcare AI, physics, climate & scientific computing and physics-based simulation & animation. 174 papers since 2023, 94 at top venues, mostly MICCAI and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 45/ year
- at T1 venues
- 54%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 45 papers2026 · T1 31 · collecting
- 55 papers2025 · T1 22
- 43 papers2024 · T1 24
- 31 papers2023 · T1 17
T1 venuesOtherVenues: MICCAI, CVPR, NeurIPS, AAAI, ICLR
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI18 papers
- medical18 papers
- Physics-based simulation & animation10 papers
- Physics, climate & scientific computing2 papers
- medical applications0 papers
Paper list
From DBLP.
202645 papers
- VR WorkshopA Collaborative Extended Reality Prototype for 3D Surgical Planning and Visualization (opens in a new tab)
- ACM Comput. Surv.A Survey on Inference Optimization Techniques for Mixture of Experts Models (opens in a new tab)
- Medical Image Anal.Advancing radiograph representation learning via cascading graph alignment for vision-language clinical concepts (opens in a new tab)
- MICCAI (T1)Attenuation-Resilient Alternating Optimization for Laparoscopic Liver Landmark Detection (opens in a new tab)
- Medical Image Anal.Automatic prediction of depth of invasion in oral tongue squamous cell carcinoma using a multimodal regression network fusing prior text and anatomical knowledge (opens in a new tab)
- CVPR (T1)Benchmarking Endoscopic Surgical Image Restoration and Beyond (opens in a new tab)
- MICCAI (T1)Bridging Vision Foundation Model Priors with CLIP for Spatial-Aware Few-Shot Anomaly Detection in Medical Images (opens in a new tab)
- KDD (T1)CA-DEL: An Open Multi-Target, Multi-Modal Benchmark for Learning from DNA-Encoded Library Screens (opens in a new tab)
- VR WorkshopClipGS-VR: Immersive and Interactive Cinematic Visualization of Volumetric Medical Data in Mobile Virtual Reality (opens in a new tab)
- Medical Image Anal.Depth-induced prompt learning for laparoscopic liver landmark detection (opens in a new tab)
- TIP (T1)Dual Domain-Attribute Learning Framework With Asynchronous Adapters for Continual Test-Time Adaptation (opens in a new tab)
- ICLR (T1)EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning (opens in a new tab)
202555 papers
- ACM Comput. Surv.A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook (opens in a new tab)
- AIxVRAdvancing Extended Reality with 3D Gaussian Splatting: Innovations and Prospects (opens in a new tab)
- IEEE Trans. Serv. Comput.An Adaptive and Interpretable Congestion Control Service Based on Multi-Objective Reinforcement Learning (opens in a new tab)
- IEEE Trans. Mob. Comput.BAT: A Versatile Bipartite Attention-Based Approach for Comprehensive Truth Inference in Mobile Crowdsourcing (opens in a new tab)
- IEEE J. Biomed. Health InformaticsBoosting Few-Shot Semantic Segmentation of 3D Medical Images via Collaborative Slice Alignment (opens in a new tab)
- NeurIPS (T1)CellVerse: Do Large Language Models Really Understand Cell Biology? (opens in a new tab)
- ICCVWChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining (opens in a new tab)
- ACM Great Lakes Symposium on VLSICircuit Synthesis based on Hierarchical Conditional Diffusion (opens in a new tab)
- MICCAI (T1)ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data (opens in a new tab)
- NeurIPS (T1)COS3D: Collaborative Open-Vocabulary 3D Segmentation (opens in a new tab)
- VR WorkshopCreating Virtual Environments with 3D Gaussian Splatting: A Comparative Study (opens in a new tab)
- VR WorkshopCvhSlicer 2.0: Immersive and Interactive Visualization of Chinese Visible Human Data in XR Environments (opens in a new tab)
202443 papers
- Medical Image Anal.3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingA Dual Enrichment Synergistic Strategy to Handle Data Heterogeneity for Domain Incremental Cardiac Segmentation (opens in a new tab)
- TKDE (T1)A Survey on Generative Diffusion Models (opens in a new tab)
- IJCNNAdaptive Federated Learning for EEG Emotion Recognition (opens in a new tab)
- AAAI (T1)ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning (opens in a new tab)
- TIP (T1)CalibNet: Dual-Branch Cross-Modal Calibration for RGB-D Salient Instance Segmentation (opens in a new tab)
- MICCAI (T1)Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images (opens in a new tab)
- MICCAI (T1)Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic Forgetting (opens in a new tab)
- MICCAI (T1)Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation (opens in a new tab)
- BIBMDecoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation (opens in a new tab)
- IEEE Trans. Medical ImagingDeep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images (opens in a new tab)
- MICCAI (T1)Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection (opens in a new tab)
202331 papers
- ICCV (T1)CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation (opens in a new tab)
- CVPR (T1)Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition (opens in a new tab)
- Medical Image Anal.Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark (opens in a new tab)
- TIP (T1)Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms (opens in a new tab)
- Medical Image Anal.Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images (opens in a new tab)
- IEEE Trans. Circuits Syst. Video Technol.Deep Texture-Aware Features for Camouflaged Object Detection (opens in a new tab)
- IEEE Trans. Medical ImagingDomain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening (opens in a new tab)
- IEEE Trans. Cybern.Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19 (opens in a new tab)
- MICCAI (T1)Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images (opens in a new tab)
- BMC Medical ImagingHepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention (opens in a new tab)
- TPAMI (T1)Instance Shadow Detection With a Single-Stage Detector (opens in a new tab)
- IJCAI (T1)Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CUHKFall 2027
Computer Science and Engineering MPhil/PhD
- Round
- HKPFS / main round
- Opens
- —
- GRE
- See program page
- English
- Interview in English
- Fee
- See program page
Not yet confirmed for this intake.
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