Hehe Fan
ZJU100 Young Professor
Researches computer vision, LLMs and agents, embodied AI and AI for science.
Hehe Fan's lab at Zhejiang works on embodied & active vision. 70 papers since 2023, 51 at top venues, mostly CVPR and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 18/ year
- at T1 venues
- 73%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 25 papers2026 · T1 18 · collecting
- 23 papers2025 · T1 17
- 13 papers2024 · T1 8
- 9 papers2023 · T1 8
T1 venuesOtherVenues: CVPR, AAAI, ICLR, ICCV, ECCV
Research focuspaper titles that use each topic's words
- Embodied & active vision2 papers
- llms2 papers
- agents1 paper
- researches computer0 papers
- embodied0 papers
Paper list
From the lab homepage and DBLP.
202625 papers
- CVPR (T1)AnchorFlow: Training-Free 3D Editing via Latent Anchor-Aligned Flows (opens in a new tab)
- Neural NetworksBidirectional transition consistency between multi-domain observations for visual reinforcement learning generalization (opens in a new tab)
- Inf. FusionBridging Multi-Stages and Multi-Views for low-quality point cloud denoising (opens in a new tab)
- ECCV (T1)ClusterStyle: Modeling Intra-style Diversity with Prototypical Clustering for Stylized Motion Generation (opens in a new tab)
- NeurocomputingData density scaling for text-to-image models on small dataset (opens in a new tab)
- AAAI (T1)DLVINet: Advancing Dual-Lens Video Inpainting Beyond Parallax Constraints (opens in a new tab)
- ICLR (T1)Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World (opens in a new tab)
- WWW (T1)GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus (opens in a new tab)
- CVPR (T1)Hi-Lo Prune: Look at What You'll Lose before Pruning with Hierarchical Token Selection (opens in a new tab)
- CVPR (T1)Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Introduction to the Special Issue on Multimodal Video Understanding and Analysis with Foundation Models (opens in a new tab)
- ECCV (T1)Let's Reward Step-by-Step: Step-Aware Contrastive Alignment for Vision-Language Navigation in Continuous Environments (opens in a new tab)
202523 papers
- CVPR (T1)Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration (opens in a new tab)
- ICCV (T1)BVINet: Unlocking Blind Video Inpainting With Zero Annotations (opens in a new tab)
- IJCV (T1)Correction: Variational Rectification Inference for Learning with Noisy Labels (opens in a new tab)
- IJCAI (T1)Drafting and Revision: Advancing High-Fidelity Video Inpainting (opens in a new tab)
- ICML (T1)DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization (opens in a new tab)
- Findings of EMNLPDropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs (opens in a new tab)
- CVPR (T1)EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space (opens in a new tab)
- ICCV (T1)InfiniDreamer: Arbitrarily Long Human Motion Generation Via Segment Score Distillation (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.Learning Robust Representations via Bidirectional Transition for Visual Reinforcement Learning (opens in a new tab)
- ICCV (T1)MMAD: Multi-Label Micro-Action Detection in Videos (opens in a new tab)
- ACM MMMotion Matters: Motion-guided Modulation Network for Skeleton-based Micro-Action Recognition (opens in a new tab)
- ICLR (T1)OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents (opens in a new tab)
202413 papers
- ACM Trans. Multim. Comput. Commun. Appl.Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation (opens in a new tab)
- CVPR (T1)Clustering for Protein Representation Learning (opens in a new tab)
- AAAI (T1)DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding (opens in a new tab)
- IEEE Trans. Multim.DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition (opens in a new tab)
- AAAI (T1)Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling (opens in a new tab)
- ECCV (T1)HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting (opens in a new tab)
- ICML (T1)Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning (opens in a new tab)
- IEEE Trans. Multim.Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering (opens in a new tab)
- ACM MMProgressive Point Cloud Denoising with Cross-Stage Cross-Coder Adaptive Edge Graph Convolution Network (opens in a new tab)
- MiGA@IJCAIPrototype Learning for Micro-gesture Classification (opens in a new tab)
- NeurIPS (T1)TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment (opens in a new tab)
- CVPR (T1)Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly (opens in a new tab)
20239 papers
- ICLR (T1)Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins
- Intell. Comput.How Deep Neural Networks Understand Motion? Toward Interpretable Motion Modeling by Leveraging the Relative Change in Position (opens in a new tab)
- ICCV (T1)Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos (opens in a new tab)
- ICCV (T1)Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos (opens in a new tab)
- TPAMI (T1)Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling (opens in a new tab)
- CVPR (T1)PointListNet: Deep Learning on 3D Point Lists
- AAAI (T1)SEFormer: Structure Embedding Transformer for 3D Object Detection (opens in a new tab)
- ICCV (T1)STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition (opens in a new tab)
- AAAI (T1)Text to Point Cloud Localization with Relation-Enhanced Transformer (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
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- The lab homepage and DBLP
- Members
- Not collected
- Alumni
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