PPaperPicks

Hao Zhou

Tsinghua University, Institute for AI Industry Research, Beijing, China

39 papers at tracked venues · 35 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE
    ACL 2026 · Hao Zhou
  2. APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention
  3. Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
  4. PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning
  5. R³: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning
  6. A Periodic Bayesian Flow for Material Generation
  7. APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
  8. Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
  9. DAPO: An Open-Source LLM Reinforcement Learning System at Scale
  10. Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks
  11. Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
  12. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
  13. Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
  14. MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
  15. MiniPLM: Knowledge Distillation for Pre-training Language Models
  16. MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing
    AAAI 2025 · Hao Zhou
  17. Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule
  18. PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension
  19. Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
  20. Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
  21. Retro-R1: LLM-based Agentic Retrosynthesis
  22. RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
  23. SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
  24. ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
  25. Smooth Interpolation for Improved Discrete Graph Generative Models
  26. Steering Protein Family Design through Profile Bayesian Flow
  27. Vision-Language Models Can Self-Improve Reasoning via Reflection
  28. A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers
  29. ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
  30. Enhancing Byzantine-Resistant Aggregations with Client Embedding
  31. Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios
  32. Large Language Models Are Not Robust Multiple Choice Selectors
  33. Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge
  34. Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective
  35. MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
  36. MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
  37. On Prompt-Driven Safeguarding for Large Language Models
  38. Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
  39. Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks