Yanfeng Wang
教授
Works on AI for media and healthcare, including medical foundation models.
Yanfeng Wang's lab at SJTU works on medical imaging & healthcare AI, generative & foundation models and large language models. 180 papers since 2023, 119 at top venues, mostly CVPR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 47/ year
- at T1 venues
- 66%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 25 papers2026 · T1 18 · collecting
- 50 papers2025 · T1 32
- 70 papers2024 · T1 45
- 35 papers2023 · T1 24
T1 venuesOtherVenues: CVPR, NeurIPS, ACL, ICLR, ICML
Research focuspaper titles that use each topic's words
- Large language models60 papers
- Generative & foundation models32 papers
- Medical imaging & healthcare AI21 papers
- foundation models3 papers
- media0 papers
Paper list
From the lab homepage and DBLP.
202625 papers
- ACM Comput. Surv.AI Alignment: A Contemporary Survey (opens in a new tab)
- Inf. FusionCOST: Contrastive one-stage transformer for vision-language small object tracking (opens in a new tab)
- ACL (T1)Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs (opens in a new tab)
- Machine LearningDual-granularity Sinkhorn Distillation for Enhanced Learning from Long-Tailed Noisy Data (opens in a new tab)
- Findings of ACLEliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach (opens in a new tab)
- CVPR (T1)GenMask: Adapting DiT for Segmentation via Direct Mask Generation (opens in a new tab)
- Findings of ACLHeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks (opens in a new tab)
- ICLR (T1)Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation (opens in a new tab)
- IEEE J. Biomed. Health InformaticsInterpretable Brain MRI Report Generation Anchored by Lesion Topography (opens in a new tab)
- ACL (T1)MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools (opens in a new tab)
- AAAI (T1)MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision (opens in a new tab)
- ACL (T1)Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models (opens in a new tab)
202550 papers
- CVPR (T1)4DGC: Rate-Aware 4D Gaussian Compression for Efficient Streamable Free-Viewpoint Video (opens in a new tab)
- CVPR (T1)Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training (opens in a new tab)
- ICASSP (T1)AuscMLLM: Bridging Classification and Reasoning in Heart Sound Analysis with a Multimodal Large Language Model (opens in a new tab)
- ACL (T1)AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation (opens in a new tab)
- PRCVBoosting Nighttime UAV Tracking via Self-prompting Autoregressive Learning and a New Benchmark (opens in a new tab)
- Findings of EMNLPBridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning (opens in a new tab)
- ICLR (T1)Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection (opens in a new tab)
- ICML (T1)ConText: Driving In-context Learning for Text Removal and Segmentation (opens in a new tab)
- ICASSP (T1)Contrast-Unity for Partially-Supervised Temporal Sentence Grounding (opens in a new tab)
- TPAMI (T1)Decouple Before Align: Visual Disentanglement Enhances Prompt Tuning (opens in a new tab)
- EMNLP (T1)DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction (opens in a new tab)
- ICCV (T1)Differential-Informed Sample Selection Accelerates Multimodal Contrastive Learning (opens in a new tab)
202470 papers
- CVPR (T1)Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images (opens in a new tab)
- ICLR (T1)An Extensible Framework for Open Heterogeneous Collaborative Perception (opens in a new tab)
- PatternsAn objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network (opens in a new tab)
- CVPR (T1)Audio-Visual Segmentation via Unlabeled Frame Exploitation (opens in a new tab)
- TIP (T1)Balanced destruction-reconstruction dynamics for memory-replay class incremental learning (opens in a new tab)
- LREC/COLINGCE-VDG: Counterfactual Entropy-based Bias Reduction for Video-grounded Dialogue Generation (opens in a new tab)
- EMNLP (T1)CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios (opens in a new tab)
- —Development of a large-scale medical visual question-answering dataset
- Findings of ACLDictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics (opens in a new tab)
- ICML (T1)Diversified Batch Selection for Training Acceleration (opens in a new tab)
- ICLR (T1)Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts (opens in a new tab)
- Neural NetworksDynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning (opens in a new tab)
202335 papers
- IEEE Trans. Multim.Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization (opens in a new tab)
- ACM MMAll in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment (opens in a new tab)
- ICCV (T1)Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction (opens in a new tab)
- BMVCBoost Video Frame Interpolation via Motion Adaptation (opens in a new tab)
- CVPR (T1)Collaboration Helps Camera Overtake LiDAR in 3D Detection (opens in a new tab)
- TPAMI (T1)Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting (opens in a new tab)
- NeurIPS (T1)Combating Representation Learning Disparity with Geometric Harmonization (opens in a new tab)
- CVPR (T1)Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization (opens in a new tab)
- CVPR (T1)DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration (opens in a new tab)
- CVPR (T1)EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning (opens in a new tab)
- ICML (T1)FedDisco: Federated Learning with Discrepancy-Aware Collaboration (opens in a new tab)
- CVPR (T1)Federated Domain Generalization with Generalization Adjustment (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
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- Members
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- Alumni
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