PPaperPicks

Zhu Sun

Singapore University of Technology and Design, Singapore

25 papers at tracked venues · 24 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Jie Zhang
×14
Yingpeng Du
×13
Tianjun Wei
×7
Yew-Soon Ong
×7
Ziyan Wang
×6
Huizhong Guo
×5
Dongxia Wang
×5
Haoyan Chua
×4
Xinghua Qu
×4
Yan Wang
×3
Kaidong Feng
×3
Hongyang Liu
×2

Papers

  1. Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model
    ACL 2026 ·
    Ziyan Wang
    ,
    Yingpeng Du
    ,
    Tianjun Wei
    ,
    Haoyan Chua
    ,
    Jieyi Bi
    ,
    Jie Zhang
    , Zhu Sun
  2. Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
    AAAI 2026 ·
    Hongyang Liu
    , Zhu Sun,
    Tianjun Wei
    ,
    Yan Wang
    ,
    Jiajie Zhu
    ,
    Xinghua Qu
  3. Dynamic Experts Synergy for Multi-Task Recommendation
    WWW 2026 ·
    Haotian Wu
    ,
    Yingpeng Du
    , Zhu Sun,
    Jie Zhang
    ,
    Puay Siew Tan
  4. Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
    SIGIR 2026 ·
    Zhifu Wei
    ,
    Yizhou Dang
    ,
    Guibing Guo
    ,
    Chuang Zhao
    , Zhu Sun
  5. HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract)
    AAAI 2026 ·
    Kunrong Li
    , Zhu Sun,
    Kwan Hui Lim
  6. Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
    ACL 2026 ·
    Tianjun Wei
    ,
    Huizhong Guo
    ,
    Yingpeng Du
    , Zhu Sun,
    Huang Chen
    ,
    Dongxia Wang
    ,
    Jie Zhang
  7. ONE-PASS: Single Forward Pass Decoding for Listwise Reranking
    WWW 2026 ·
    Yingpeng Du
    , Zhu Sun,
    Tianjun Wei
    ,
    Jie Zhang
  8. Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
    WWW 2026 ·
    Hongxu Wang
    ,
    Yingpeng Du
    , Zhu Sun,
    Lu Zhang
    ,
    Tiantian He
    ,
    Yew-Soon Ong
  9. Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
    SIGIR 2026 ·
    Yizhou Dang
    ,
    Yifan Wu
    ,
    Minhan Huang
    ,
    Chuang Zhao
    ,
    Lianbo Ma
    ,
    Guibing Guo
    ,
    Xingwei Wang
    , Zhu Sun
  10. Reinforcement Speculative Decoding for Fast Ranking
    SIGKDD 2026 ·
    Yingpeng Du
    ,
    Tianjun Wei
    , Zhu Sun,
    Jie Zhang
    ,
    Xun Jiang
  11. Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
    SIGIR 2026 ·
    Huizhong Guo
    ,
    Tianjun Wei
    ,
    Dongxia Wang
    ,
    Yingpeng Du
    ,
    Ziyan Wang
    ,
    Jie Zhang
    , Zhu Sun
  12. iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification
    SIGIR 2026 ·
    Zhuoxuan Huang
    ,
    Yunshan Ma
    ,
    Hongyu Zhang
    ,
    Hua Ma
    , Zhu Sun
  13. Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
    AAAI 2025 ·
    Yingpeng Du
    , Zhu Sun,
    Ziyan Wang
    ,
    Haoyan Chua
    ,
    Jie Zhang
    ,
    Yew-Soon Ong
  14. Enhancing New-item Fairness in Dynamic Recommender Systems
    SIGIR 2025 ·
    Huizhong Guo
    , Zhu Sun,
    Dongxia Wang
    ,
    Tianjun Wei
    ,
    Jinfeng Li
    ,
    Jie Zhang
  15. LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
    AAAI 2025 ·
    Yatong Sun
    ,
    Xiaochun Yang
    , Zhu Sun,
    Yan Wang
    ,
    Bin Wang
    ,
    Xinghua Qu
  16. LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
    SIGKDD 2025 ·
    Yanhui Li
    ,
    Dongxia Wang
    , Zhu Sun,
    Haonan Zhang
    ,
    Huizhong Guo
  17. Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
    WWW 2025 ·
    Youchen Sun
    , Zhu Sun,
    Yingpeng Du
    ,
    Jie Zhang
    ,
    Yew Soon Ong
  18. Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
    AAAI 2025 ·
    Ziyan Wang
    ,
    Yingpeng Du
    , Zhu Sun,
    Haoyan Chua
    ,
    Kaidong Feng
    ,
    Wenya Wang
    ,
    Jie Zhang
  19. Adaptive In-Context Learning with Large Language Models for Bundle Generation
    SIGIR 2024 · Zhu Sun,
    Kaidong Feng
    ,
    Jie Yang
    ,
    Xinghua Qu
    ,
    Hui Fang
    ,
    Yew-Soon Ong
    ,
    Wenyuan Liu
  20. An Empirical Analysis on Multi-turn Conversational Recommender Systems
    SIGIR 2024 ·
    Lu Zhang
    ,
    Chen Li
    ,
    Yu Lei
    , Zhu Sun,
    Guanfeng Liu
  21. Configurable Fairness for New Item Recommendation Considering Entry Time of Items
    SIGIR 2024 ·
    Huizhong Guo
    ,
    Dongxia Wang
    , Zhu Sun,
    Haonan Zhang
    ,
    Jinfeng Li
    ,
    Jie Zhang
  22. Disentangled Multi-interest Representation Learning for Sequential Recommendation
    SIGKDD 2024 ·
    Yingpeng Du
    ,
    Ziyan Wang
    , Zhu Sun,
    Yining Ma
    ,
    Hongzhi Liu
    ,
    Jie Zhang
  23. Large Language Models for Intent-Driven Session Recommendations
    SIGIR 2024 · Zhu Sun,
    Hongyang Liu
    ,
    Xinghua Qu
    ,
    Kaidong Feng
    ,
    Yan Wang
    ,
    Yew Soon Ong
  24. Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
    SIGKDD 2024 ·
    Youchen Sun
    , Zhu Sun,
    Yingpeng Du
    ,
    Jie Zhang
    ,
    Yew Soon Ong
  25. Unified Denoising Training for Recommendation
    RecSys 2024 ·
    Haoyan Chua
    ,
    Yingpeng Du
    , Zhu Sun,
    Ziyan Wang
    ,
    Jie Zhang
    ,
    Yew-Soon Ong