PPaperPicks

Peilin Zhao

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

Venues

Frequent coauthors

Papers

  1. CrystalDiT: Simple Diffusion Transformers for Crystal Generation
  2. Curriculum-RLAIF: Curriculum Alignment with Reinforcement Learning from AI Feedback
  3. The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games
  4. COME: Test-time Adaption by Conservatively Minimizing Entropy
  5. Continual Optimization with Symmetry Teleportation for Multi-Task Learning
  6. Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
  7. Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning
  8. Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
  9. HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
  10. Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction
  11. IgGM: A Generative Model for Functional Antibody and Nanobody Design
  12. Injecting Imbalance Sensitivity for Multi-Task Learning
  13. Learning Long-Range Action Representation by Two-Stream Mamba Pyramid Network for Figure Skating Assessment
  14. Measuring Diversity in Synthetic Datasets
  15. Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
  16. NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
  17. Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
  18. Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization
  19. Scaling Diffusion Language Models via Adaptation from Autoregressive Models
  20. Self-Bootstrapping for Versatile Test-Time Adaptation
  21. Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
  22. Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
  23. TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
  24. Test-time Adapted Reinforcement Learning with Action Entropy Regularization
  25. A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference
  26. DFWLayer: Differentiable Frank-Wolfe Optimization Layer
  27. Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
  28. LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
  29. Latent Diffusion Transformer for Probabilistic Time Series Forecasting
  30. Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization
  31. Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation
  32. Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
  33. SDformer: Similarity-driven Discrete Transformer For Time Series Generation
  34. SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
  35. TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks
  36. Test-Time Model Adaptation with Only Forward Passes
  37. Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations
  38. WatME: Towards Lossless Watermarking Through Lexical Redundancy