PPaperPicks

Fuzhen Zhuang

Beihang University, School of Computer Science, Institute of Artificial Intelligence, Beijing, China

37 papers at tracked venues · 24 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. CAT-ID2: Category-Tree Integrated Document Identifier Learning for Generative Retrieval In E-commerce
  2. How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
  3. Multi-Aspect Cross-modal Quantization for Generative Recommendation
  4. A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation
  5. CDC: Causal Domain Clustering for Multi-Domain Recommendation
  6. Constrained Optimization to Improve Critical Rare Classes Performance Within the Top-Ranking Part
  7. Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging
  8. FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
  9. FEZE: Alignment-Flexible Zero-Shot Vertical Federated Learning
  10. H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
  11. HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search
  12. Hyperbolic Diffusion Recommender Model
  13. Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
  14. Mixed-Curvature Multi-Modal Knowledge Graph Completion
  15. Multi-level Relevance Document Identifier Learning for Generative Retrieval
  16. ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
  17. One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation
  18. Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
  19. Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction
  20. A General Strategy Graph Collaborative Filtering for Recommendation Unlearning
  21. Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model
  22. DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
  23. Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction
  24. Exploring High-Order User Preference with Knowledge Graph for Recommendation
  25. Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
  26. Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
  27. Light POI-Guided Conversational Recommender System based on Adaptive Space
  28. Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation
  29. Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering
  30. Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction
  31. Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification
  32. Multi-view Temporal Knowledge Graph Reasoning
  33. Representation Learning of Temporal Graphs with Structural Roles
  34. Resource-Aware Federated Self-Supervised Learning with Global Class Representations
  35. Scaling Sentence Embeddings with Large Language Models
  36. Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation
  37. Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation