PPaperPicks

Zhu Sun

Singapore University of Technology and Design, Singapore

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

Venues

Frequent coauthors

Papers

  1. Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model
  2. Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
  3. Dynamic Experts Synergy for Multi-Task Recommendation
  4. Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
  5. HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract)
  6. Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
  7. ONE-PASS: Single Forward Pass Decoding for Listwise Reranking
  8. Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
  9. Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
  10. Reinforcement Speculative Decoding for Fast Ranking
  11. Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
  12. iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification
  13. Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
  14. Enhancing New-item Fairness in Dynamic Recommender Systems
  15. LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
  16. LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
  17. Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
  18. Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
  19. Adaptive In-Context Learning with Large Language Models for Bundle Generation
    SIGIR 2024 · Zhu Sun
  20. An Empirical Analysis on Multi-turn Conversational Recommender Systems
  21. Configurable Fairness for New Item Recommendation Considering Entry Time of Items
  22. Disentangled Multi-interest Representation Learning for Sequential Recommendation
  23. Large Language Models for Intent-Driven Session Recommendations
    SIGIR 2024 · Zhu Sun
  24. Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
  25. Unified Denoising Training for Recommendation