PPaperPicks

Fangcheng Fu

21 papers at tracked venues · 17 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
  2. Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
  3. HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning
  4. Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning
  5. Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment
  6. Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
  7. LobRA: Multi-tenant Fine-tuning over Heterogeneous Data
  8. MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training
  9. Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
  10. Model Rake: A Defense Against Stealing Attacks in Split Learning
  11. NetMoE: Accelerating MoE Training through Dynamic Sample Placement
  12. PQCache: Product Quantization-based KVCache for Long Context LLM Inference
  13. PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning
  14. ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
  15. Towards Scalable and Efficient Graph Structure Learning
  16. Training-Free and Adaptive Sparse Attention for Efficient Long Video Generation
  17. Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
  18. Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
  19. Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning
  20. LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
  21. X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling