PPaperPicks

Jiangchao Yao

36 papers at tracked venues · 33 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
  2. Trustworthy Foundation Models for Web Intelligence: Causal Perspectives and Challenges
  3. 4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming
  4. CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
  5. Differential-Informed Sample Selection Accelerates Multimodal Contrastive Learning
  6. Fast and Accurate Blind Flexible Docking
  7. From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
  8. LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant
  9. Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning
  10. Learning to Instruct for Visual Instruction Tuning
  11. Long-tailed Recognition with Model Rebalancing
  12. MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
  13. MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
  14. Multi-modal Medical Diagnosis via Large-small Model Collaboration
  15. RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis
  16. SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation
  17. Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition
  18. Trustworthy AI under Imperfect Web Data
    WWW 2025 · Jiangchao Yao
  19. Diversified Batch Selection for Training Acceleration
  20. Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
  21. Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation
  22. Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters
  23. Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
  24. Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
  25. Long-tailed Diffusion Models with Oriented Calibration
  26. Low-Rank Knowledge Decomposition for Medical Foundation Models
  27. Mitigating Label Noise on Graphs via Topological Sample Selection
  28. Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
  29. Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
  30. On Harmonizing Implicit Subpopulations
  31. Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
  32. ReMamber: Referring Image Segmentation with Mamba Twister
  33. Reprogramming Distillation for Medical Foundation Models
  34. Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation
  35. Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
  36. Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning