PPaperPicks

Junliang Xing

34 papers at tracked venues · 31 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Bridging the Temporal Gap in Multimodal LLMs: Deeply Stacking Temporal Tokens for Audio-Visual Speech Recognition
  2. Deep (Predictive) Discounted Counterfactual Regret Minimization
  3. MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning
  4. Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation
  5. An Open-Ended Learning Framework for Opponent Modeling
  6. BodyGen: Advancing Towards Efficient Embodiment Co-Design
  7. Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
  8. Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
  9. Dynamic Dictionary Learning for Remote Sensing Image Segmentation
  10. Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment
  11. GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training
  12. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
  13. Habitizing Diffusion Planning for Efficient and Effective Decision Making
  14. Minimal Impact ControlNet: Advancing Multi-ControlNet Integration
  15. Multi-View 3D Human Pose Estimation with Weakly Synchronized Images
  16. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
  17. Position-Aware Guided Point Cloud Completion with CLIP Model
  18. StickMotion: Generating 3D Human Motions by Drawing a Stickman
  19. Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model
  20. Cooperation and Coordination in Heterogeneous Populations with Interaction Diversity
  21. DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving
  22. Dual Critic Reinforcement Learning under Partial Observability
  23. Dynamic Discounted Counterfactual Regret Minimization
  24. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
  25. Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
  26. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
  27. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
  28. Opponent Modeling with In-context Search
  29. PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
  30. Reflective Policy Optimization
  31. SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
  32. Towards Offline Opponent Modeling with In-context Learning
  33. Translating Motion to Notation: Hand Labanotation for Intuitive and Comprehensive Hand Movement Documentation
  34. Unified Single-Stage Transformer Network for Efficient RGB-T Tracking