Yue Ding
Assistant Professor
Works on efficient and robust vision-language-action models, embodied intelligence and recommender systems.
Yue Ding's lab at SJTU works on vision-language & multimodal, embodied & active vision and efficient training & inference. 21 papers since 2023, 9 at top venues, mostly ACM MM and ICML. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 43%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 9 papers2025 · T1 5
- 8 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: ACM MM, ICML, CIKM, CVPR, ICCV
Research focuspaper titles that use each topic's words
- Efficient training & inference2 papers
- Vision-language & multimodal1 paper
- Embodied & active vision1 paper
- embodied intelligence1 paper
- vision-language-action0 papers
Paper list
From the lab homepage.
20263 papers
- CVPR (T1)Dejavu: Towards Experience Feedback Learning for Embodied Intelligence
- RSS (T1)MVP-Nav: Multi-layer Value Map Planner Navigator
- ICML (T1)Recovering Hidden Reward in Diffusion-Based Policies
20259 papers
- ICML (T1)BECAME: Bayesian Continual Learning with Adaptive Model Merging
- ACM MMCLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction
- ICCV (T1)Discretized Gaussian Representation for Tomographic Reconstruction
- CIKM (T1)From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models
- ACM MMGenerating Negative Samples for Multi-Modal Recommendation
- NeurIPS (T1)How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichet Energy Perspective
- IEEE Trans. Multim. 27: 3625-3636Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting
- ACM MMMORE: Multi-Organ medical image REconstruction Dataset
- WSDM (T1)Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
20248 papers
- IEEE Trans. Circuits Syst. Video Technol. 34(10): 9499-9514Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective
- KDD : 5442-5453Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration
- IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4314-4330BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
- KDD : 5454-5465DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs
- WSDM : 882-890Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
- CVPR : 5599-5609Fedhca2: Towards Hetero-Client Federated Multi-Task Learning
- ICLR (T1)InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
- ACM Multimedia : 6103-6112Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation
20231 paper
- WSDM : 643-651Position-Aware Subgraph Neural Networks with Data-Efficient Learning
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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