PPaperPicks

Xiaowen Chu

Hong Kong Baptist University, Department of Computer Science, Hong Kong

30 papers at tracked venues · 23 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
  2. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not Stable
  3. SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
  4. SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction
  5. AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models
  6. BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems
  7. Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
  8. ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
  9. City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning
  10. Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
  11. ParZC: Parametric Zero-Cost Proxies for Efficient NAS
  12. Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
  13. RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories
  14. ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
  15. SAFormer: Spatially Adaptive Transformer for Efficient and Multi-Resolution Occupancy Prediction
  16. STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
  17. UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
  18. 3D Question Answering for City Scene Understanding
  19. BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
  20. CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
  21. Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing
  22. Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
  23. FedImpro: Measuring and Improving Client Update in Federated Learning
  24. FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
  25. LPZero: Language Model Zero-cost Proxy Search from Zero
  26. LongGenBench: Long-context Generation Benchmark
  27. Multi-task Domain Adaptation for Language Grounding with 3D Objects
  28. Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
  29. Should We Really Edit Language Models? On the Evaluation of Edited Language Models
  30. VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting