PPaperPicks

Jie Peng

University of Science and Technology of China, Hefei, China

19 papers at tracked venues · 10 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
  2. Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations
  3. Vulnerability-Aware Robust Multimodal Adversarial Training
  4. Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
  5. CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
  6. GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models
  7. Glider: Global and Local Instruction-Driven Expert Router
  8. I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
  9. Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
  10. Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
    ICML 2025 · Jie Peng
  11. Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
  12. NaviDiffuser: Tackling Multi-Objective Robot Navigation by Weight Range Guided Diffusion Model
  13. Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
  14. Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach
  15. UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging
  16. Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
  17. LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance
  18. Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network
  19. PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning