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Zhu Sun

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

50

Venues

13

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

50 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIHyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract).Kunrong Li, Zhu Sun, Kwan Hui Lim
2026AAAIDiagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation.Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2026ACLAdaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model.Ziyan Wang, Yingpeng Du, Tianjun Wei, Haoyan Chua, Jieyi Bi, Jie Zhang, Zhu Sun
2026ACLMirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation.Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Huang Chen, Dongxia Wang, Jie Zhang
2026KDDReinforcement Speculative Decoding for Fast Ranking.Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang
2026WWWONE-PASS: Single Forward Pass Decoding for Listwise Reranking.Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang
2026WWWOrthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation.Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew-Soon Ong
2026WWWDynamic Experts Synergy for Multi-Task Recommendation.Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan
2026SIGIRPay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models.Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun
2026SIGIRThink When Needed: Model-Aware Reasoning Routing for LLM-based Ranking.Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun
2026SIGIRiTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification.Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang, Hua Ma, Zhu Sun
2026SIGIRFusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation.Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun
2025AAAIActive Large Language Model-Based Knowledge Distillation for Session-Based Recommendation.Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025AAAILLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation.Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu
2025AAAIRe2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2025KDDLightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture.Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo
2025WWWModel-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation.Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2025SIGIREnhancing New-item Fairness in Dynamic Recommender Systems.Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2024KDDDisentangled Multi-interest Representation Learning for Sequential Recommendation.Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
2024KDDSelf-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation.Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2024RecSysUnified Denoising Training for Recommendation.Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong
2024SIGIRAdaptive In-Context Learning with Large Language Models for Bundle Generation.Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024SIGIRLarge Language Models for Intent-Driven Session Recommendations.Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024SIGIRAn Empirical Analysis on Multi-turn Conversational Recommender Systems.Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu
2024SIGIRConfigurable Fairness for New Item Recommendation Considering Entry Time of Items.Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang
2023ICDEA Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2023PAKDDMeta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023RecSysDisentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction.Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong
2023RecSysDomain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation.Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun
2023SIGIRTowards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023WSDMWSDM 2023 Workshop on Interactive Recommender Systems.Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
2022IJCAINext Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022KDDImportance Prioritized Policy Distillation.Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
2022KDDSynthesising Audio Adversarial Examples for Automatic Speech Recognition.Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
2022SIGIRRevisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2021IJCAIDoes Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data.Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang
2020AAAIAn Attentional Recurrent Neural Network for Personalized Next Location Recommendation.Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2020IJCAIAn Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins.Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner
2020PAKDDModelling Temporal Dynamics and Repeated Behaviors for Recommendation.Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
2020RecSysAre We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2019ICWEExploiting Side Information for Recommendation.Qing Guo, Zhu Sun, Yin-Leng Theng
2019ICWEModeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks.Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2018RecSysRecurrent knowledge graph embedding for effective recommendation.Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2017AAAIExploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
2017CIKMInteracting Attention-gated Recurrent Networks for Recommendation.Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017IJCAIMRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation.Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
2017IJCAIOnline Reputation Fraud Campaign Detection in User Ratings.Chang Xu, Jie Zhang, Zhu Sun
2017RecSysCitRec 2017: International Workshop on Recommender Systems for Citizens.Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017SACLearning hierarchical category influence on both users and items for effective recommendation.Zhu Sun, Guibing Guo, Jie Zhang
2016RecSysLearning Hierarchical Feature Influence for Recommendation by Recursive Regularization.Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang