PPaperPicks

Bei Yu

Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong

34 papers at tracked venues · 30 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
  2. DiLA: Enhancing LLM Tool Learning with Differential Logic Layer
  3. KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
  4. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
  5. Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
  6. Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
  7. DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning
  8. Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
  9. Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
  10. DreamOmni: Unified Image Generation and Editing
  11. Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts
  12. Enhancing LLM Knowledge Learning through Generalization
  13. FlexPose: Pose Distribution Adaptation with Limited Guidance
  14. Generative Video Propagation
  15. Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
  16. Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge
  17. LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing
  18. Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition
  19. Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code
  20. On the Distributed Evaluation of Generative Models
  21. On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding
  22. PermLLM: Learnable Channel Permutation for N: M Sparse Large Language Models
  23. TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization
  24. VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning
  25. VisionZip: Longer is Better but Not Necessary in Vision Language Models
  26. BetterV: Controlled Verilog Generation with Discriminative Guidance
  27. BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
  28. Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
  29. Decoupled Kullback-Leibler Divergence Loss
  30. Improving Neural ODE Training with Temporal Adaptive Batch Normalization
  31. Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  32. Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
  33. Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning
  34. p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models