CV

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Education

• Ph.D in Computer Science, University of Technology Sydney, Australia, 2021. Supervised by Prof. Yi Yang.
• B.S. in Electronic and Information Engineering, University of Science and Technology of China, 2018.

Employment

• ZJU100 Young Professor, College of Artificial Intelligence, Zhejiang University, 2026–present.
• Research Fellow, Department of Biomedical Informatics (DBMI), Harvard Medical School, Harvard University.

Publications

AI-powered medicinal chemistry and translational drug development

Learning residue-level context for modeling protein-protein interactions

RefineAnything: Multimodal Region-Specific Refinement for Perfect Local Details

Efficient training of large vision models via advanced automated progressive learning

SELongVLM: Empowering Long Video Language Models with Self-Corrective Clip Selection

Are Image-to-Video Models Good Zero-Shot Image Editors?

Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment

Stroke3D: Lifting 2D strokes into rigged 3D model via latent diffusion models

Beyond Independent Genes: Learning Module-Inductive Representations for Gene Perturbation Prediction

CLINES: Clinical LLM-based Information Extraction and Structuring Agent

A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies

Insert Anything: Image Insertion via In-Context Editing in DiT

Prompt-based multimodal representation learning for drug repurposing

MedSAM2: Segment Anything in 3D Medical Images and Videos

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction

In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

The devil is in temporal token: High quality video reasoning segmentation

DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models

3DIS: Depth-driven decoupled instance synthesis for text-to-image generation

Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge

MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis

Few-shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Scalable Video Object Segmentation with Identification Mechanism

Controllable 3D Face Generation with Conditional Style Code Diffusion

DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction

SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance

Human101: Training 100+ FPS Human Gaussians in 100s from 1 View

GD²-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields

CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation

AvatarFusion: Zero-shot Generation of Clothing-Decoupled 3D Avatars Using 2D Diffusion

Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction

Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation

Efficient Emotional Adaptation for Audio-driven Talking-Head Generation

TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery

Segment and Track Anything

Video Object Segmentation in Panoptic Wild Scenes

Pyramid Diffusion Models For Low-light Image Enhancement

Co-Learning Meets Stitch-Up for Noisy Multi-Label Visual Recognition

FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation

Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation

ProD: Prompting-to-disentangle Domain Knowledge for Cross-domain Few-shot Image Classification

Decompose to Generalize: Species-Generalized Animal Pose Estimation

Decoupling Features in Hierarchical Propagation for Video Object Segmentation

Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

H²FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection

Associating Objects with Transformers for Video Object Segmentation

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration

DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency

Collaborative Video Object Segmentation by Foreground-Background Integration

Gated Channel Transformation for Visual Recognition

Very Long Natural Scenery Image Prediction by Outpainting

Service and leadership

• Senior Program Committee Member, AAAI 2027; Invited Area Chair (AC), ECCV 2026; Outstanding Area Chair, CVPR 2026