PPaperPicks

Ngai Wong

University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong

26 papers at tracked venues · 14 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation
  2. Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models
  3. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
  4. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
  5. Revisiting Model Interpolation for Efficient Reasoning
  6. DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
  7. GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
  8. Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction
  9. KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation
  10. Nonparametric Teaching for Graph Property Learners
  11. ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
  12. Perspective-Aware 3D Gaussian Inpainting with Multi-View Consistency
  13. Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
  14. QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
  15. Re-Activating Frozen Primitives for 3D Gaussian Splatting
  16. TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
  17. UNComp: Can Matrix Entropy Uncover Sparsity? - A Compressor Design from an Uncertainty-Aware Perspective
  18. ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
  19. Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
  20. Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
  21. LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
  22. Mixture-of-Subspaces in Low-Rank Adaptation
  23. Nonparametric Teaching of Implicit Neural Representations
  24. Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
  25. Taming Lookup Tables for Efficient Image Retouching
  26. Weight-Inherited Distillation for Task-Agnostic BERT Compression