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Can Wang

Zhejiang University, College of Computer Science, Zhejiang Provincial Key Laboratory of Service Robot, Hangzhou, China

28 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
  2. DICE: Distilling Classifier-Free Guidance into Text Embeddings
  3. Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
  4. Fast Content-Aware Influence Maximization Query Answering by Labeling Index
  5. Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
  6. GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
  7. SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
  8. Talos: Optimizing Top-K Accuracy in Recommender Systems
  9. TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
  10. Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
  11. Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems
  12. DICE: Data Influence Cascade in Decentralized Learning
  13. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
  14. Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing
  15. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
  16. Knowledge Distillation with Refined Logits
  17. MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
  18. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
  19. Scalable Approximate Biclique Counting over Large Bipartite Graphs
  20. Uncertainty-Aware Graph Structure Learning
  21. Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
  22. Distributionally Robust Graph-based Recommendation System
  23. Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
  24. Fast Query Answering by Labeling Index on Uncertain Graphs
  25. On the Trajectory Regularity of ODE-based Diffusion Sampling
  26. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
  27. SIGformer: Sign-aware Graph Transformer for Recommendation
  28. Simple and Fast Distillation of Diffusion Models