LibRec: A Java Library for Recommender Systems. - Guibing Guo; Jie Zhang 002; Zhu Sun 001; Neil Yorke-Smith (UMAP Workshops, 2015)

Exploiting Item and User Relationships for Recommender Systems. - Zhu Sun 001 (UMAP, 2015)

Exploiting Implicit Item Relationships for Recommender Systems. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2015)

Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002 (RecSys, 2016)

TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. - Hui-Huai Qiu; Guibing Guo; Jie Zhang 002; Zhu Sun 001; Hai Thanh Nguyen 001; Yun Liu 001 (UMAP, 2016)

Effective Recommendation with Category Hierarchy. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (UMAP, 2016)

Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon (AAAI, 2017)

Interacting Attention-gated Recurrent Networks for Recommendation. - Wenjie Pei; Jie Yang 028; Zhu Sun 001; Jie Zhang 002; Alessandro Bozzon; David M. J. Tax (CIKM, 2017)

MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Yu Chen; Chi Xu (IJCAI, 2017)

Online Reputation Fraud Campaign Detection in User Ratings. - Chang Xu 003; Jie Zhang 002; Zhu Sun 001 (IJCAI, 2017)

CitRec 2017: International Workshop on Recommender Systems for Citizens. - Jie Yang 028; Zhu Sun 001; Alessandro Bozzon; Jie Zhang 002; Martha A. Larson (RecSys, 2017)

Learning hierarchical category influence on both users and items for effective recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002 (SAC, 2017)

Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Qi Chen; Yin-Leng Theng (UMAP (Adjunct Publication), 2017)

A Unified Latent Factor Model for Effective Category-Aware Recommendation. - Zhu Sun 001; Guibing Guo; Jie Zhang 002; Chi Xu (UMAP, 2017)

Recurrent knowledge graph embedding for effective recommendation. - Zhu Sun 001; Jie Yang 028; Jie Zhang 002; Alessandro Bozzon; Long-Kai Huang; Chi Xu (RecSys, 2018)

BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. - Huihuai Qiu; Yun Liu 001; Guibing Guo; Zhu Sun 001; Jie Zhang 002; Hai Thanh Nguyen 001 (Inf. Sci., 2018)

Exploiting item relationships for effective recommendation - Zhu Sun 001 (2018)

Exploiting Side Information for Recommendation. - Qing Guo 005; Zhu Sun 001; Yin-Leng Theng (ICWE, 2019)

Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Yin-Leng Theng (ICWE, 2019)

Attentive Knowledge Graph Embedding for Personalized Recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (CoRR, 2019)

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Pengfei Wei 001; Abhishek Gupta 001 (CoRR, 2019)

Research commentary on recommendations with side information: A survey and research directions. - Zhu Sun 001; Qing Guo 005; Jie Yang 028; Hui Fang 002; Guibing Guo; Jie Zhang 002; Robin Burke (Electron. Commer. Res. Appl., 2019)

An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. - Qing Guo 005; Zhu Sun 001; Jie Zhang 002; Yin-Leng Theng (AAAI, 2020)

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. - Lu Zhang 063; Zhu Sun 001; Jie Zhang 002; Yu Lei; Chen Li 047; Ziqing Wu; Horst Kloeden; Felix Klanner (IJCAI, 2020)

Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. - Xin Zhou 023; Zhu Sun 001; Guibing Guo; Yuan Liu 002 (PAKDD (1), 2020)

Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. - Zhu Sun 001; Di Yu 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Jie Zhang 002; Cong Geng (RecSys, 2020)

Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. - Xinghua Qu; Yew-Soon Ong; Abhishek Gupta 001; Zhu Sun 001 (CoRR, 2020)

Multi-facet user preference learning for fine-grained item recommendation. - Xin Zhou 023; Guibing Guo; Zhu Sun 001; Yuan Liu 002 (Neurocomputing, 2020)

Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. - Lu Zhang 039; Zhu Sun 001; Jie Zhang 002; Horst Kloeden; Felix Klanner (Inf. Sci., 2020)

Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data. - Yatong Sun; Bin Wang 015; Zhu Sun 001; Xiaochun Yang 001 (IJCAI, 2021)

Hierarchical attentive knowledge graph embedding for personalized recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (Electron. Commer. Res. Appl., 2021)

Top-aware recommender distillation with deep reinforcement learning. - Hongyang Liu; Zhu Sun 001; Xinghua Qu; Fuyong Yuan (Inf. Sci., 2021)

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Abhishek Gupta 001; Pengfei Wei 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. - Lu Zhang 063; Zhu Sun 001; Ziqing Wu; Jie Zhang 002; Yew Soon Ong; Xinghua Qu (IJCAI, 2022)

Importance Prioritized Policy Distillation. - Xinghua Qu; Yew Soon Ong; Abhishek Gupta 001; Pengfei Wei 001; Zhu Sun 001; Zejun Ma (KDD, 2022)

Synthesising Audio Adversarial Examples for Automatic Speech Recognition. - Xinghua Qu; Pengfei Wei 001; Mingyong Gao; Zhu Sun 001; Yew Soon Ong; Zejun Ma (KDD, 2022)

Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. - Zhu Sun 001; Jie Yang 028; Kaidong Feng; Hui Fang 002; Xinghua Qu; Yew Soon Ong (SIGIR, 2022)

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; Chi Xu; Chee Keong Kwoh 001 (CoRR, 2022)

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. - Zhu Sun 001; Yu Lei; Lu Zhang 039; Chen Li 047; Yew-Soon Ong; Jie Zhang 002 (CoRR, 2022)

Disentangling Multi-Facet Social Relations for Recommendation. - Xiao Sha; Zhu Sun 001; Jie Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2022)

Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. - Zhu Sun 001; Chen Li 047; Yu Lei; Lu Zhang 063; Jie Zhang 002; Shunpan Liang (IEEE Trans. Knowl. Data Eng., 2022)

A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. - Huizi Wu; Hui Fang 002; Zhu Sun 001; Cong Geng; Xinyu Kong; Yew-Soon Ong (ICDE, 2023)

Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation. - Yatong Sun; Bin Wang 015; Zhu Sun 001; Xiaochun Yang 001; Yan Wang 002 (NeurIPS, 2023)

Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. - Jinze Wang; Lu Zhang 063; Zhu Sun 001; Yew-Soon Ong (PAKDD (3), 2023)

Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. - Youchen Sun; Zhu Sun 001; Xiao Sha; Jie Zhang 002; Yew Soon Ong (RecSys, 2023)

Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Zhu Sun 001 (RecSys, 2023)

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. - Xinghua Qu; Hongyang Liu; Zhu Sun 001; Xiang Yin 006; Yew Soon Ong; Lu Lu 015; Zejun Ma (SIGIR, 2023)

WSDM 2023 Workshop on Interactive Recommender Systems. - Yong Liu 020; Hao Zhang 048; Zhu Sun 001; Shoujin Wang; Jie Zhang 002 (WSDM, 2023)

Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (CoRR, 2023)

Purpose tendency-aware diversified strategy for effective session-based recommendation. - Qing Yin; Danning Zhang; Hui Fang 002; Zhu Sun 001 (Electron. Commer. Res. Appl., 2023)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. - Zhu Sun 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Hongyang Liu; Di Yu 001; Yew-Soon Ong; Jie Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; J. Senthilnath 001; Chi Xu; Chee Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2023)

Adversary Agnostic Robust Deep Reinforcement Learning. - Xinghua Qu; Abhishek Gupta 001; Yew-Soon Ong; Zhu Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. - Lu Zhang 063; Zhu Sun 001; Jie Zhang 002; Yiwen Wu; Yunwen Xia (IEEE Trans. Neural Networks Learn. Syst., 2023)

Disentangled Multi-interest Representation Learning for Sequential Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Yining Ma 001; Hongzhi Liu 001; Jie Zhang 002 (KDD, 2024)

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (KDD, 2024)

Unified Denoising Training for Recommendation. - Haoyan Chua; Yingpeng Du; Zhu Sun 001; Ziyan Wang; Jie Zhang 002; Yew-Soon Ong (RecSys, 2024)

Adaptive In-Context Learning with Large Language Models for Bundle Generation. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Xinghua Qu; Hui Fang 002; Yew-Soon Ong; Wenyuan Liu (SIGIR, 2024)

Large Language Models for Intent-Driven Session Recommendations. - Zhu Sun 001; Hongyang Liu; Xinghua Qu; Kaidong Feng; Yan Wang 002; Yew Soon Ong (SIGIR, 2024)

An Empirical Analysis on Multi-turn Conversational Recommender Systems. - Lu Zhang 063; Chen Li 047; Yu Lei; Zhu Sun 001; Guanfeng Liu 001 (SIGIR, 2024)

Configurable Fairness for New Item Recommendation Considering Entry Time of Items. - Huizhong Guo; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Jinfeng Li; Jie Zhang 002 (SIGIR, 2024)

Bayesian attention-based user behaviour modelling for click-through rate prediction. - Yihao Zhang 002; Mian Chen; Ruizhen Chen; Chu Zhao; Meng Yuan; Zhu Sun 001 (CAAI Trans. Intell. Technol., 2024)

Large Language Model with Graph Convolution for Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Haoyan Chua; Hongzhi Liu 001; Zhonghai Wu; Yining Ma 001; Jie Zhang 002; Youchen Sun (CoRR, 2024)

A Simple Yet Effective Approach for Diversified Session-Based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (CoRR, 2024)

Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang; Wenhai Wang (CoRR, 2024)

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models. - Fan Li 015; Ching-Hung Lee; Su Han; Shanshan Feng 001; Zhuoxuan Jiang; Zhu Sun 001 (CoRR, 2024)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback. - Hui Fang 002; Xu Feng; Lu Qin 009; Zhu Sun 001 (CoRR, 2024)

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons. - Jiao Liu; Zhu Sun 001; Shanshan Feng 001; Yew-Soon Ong (CoRR, 2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. - Ziqing Wu; Zhu Sun 001; Dongxia Wang 002; Lu Zhang 063; Jie Zhang 002; Yew Soon Ong (CoRR, 2024)

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. - Zhu Sun 001; Yu Lei; Lu Zhang 063; Chen Li 047; Yew-Soon Ong; Jie Zhang 002 (ACM Trans. Inf. Syst., 2024)

Understanding Diversity in Session-based Recommendation. - Qing Yin; Hui Fang 002; Zhu Sun 001; Yew-Soon Ong (ACM Trans. Inf. Syst., 2024)

Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. - Xiao Sha; Zhu Sun 001; Jie Zhang 002; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2024)

BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals. - Yatong Sun; Xiaochun Yang 001; Zhu Sun 001; Bin Wang 015 (ACM Trans. Inf. Syst., 2024)

Revisiting Bundle Recommendation for Intent-aware Product Bundling. - Zhu Sun 001; Kaidong Feng; Jie Yang 028; Hui Fang 002; Xinghua Qu; Yew-Soon Ong; Wenyuan Liu (Trans. Recomm. Syst., 2024)

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. - Yingpeng Du; Zhu Sun 001; Ziyan Wang; Haoyan Chua; Jie Zhang 002; Yew-Soon Ong (AAAI, 2025)

LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. - Yatong Sun; Xiaochun Yang 001; Zhu Sun 001; Yan Wang 002; Bin Wang 015; Xinghua Qu (AAAI, 2025)

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Haoyan Chua; Kaidong Feng; Wenya Wang 001; Jie Zhang 002 (AAAI, 2025)

Enhancing New-item Fairness in Dynamic Recommender Systems. - Huizhong Guo; Zhu Sun 001; Dongxia Wang 002; Tianjun Wei; Jinfeng Li; Jie Zhang 002 (SIGIR, 2025)

Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (WWW, 2025)

COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation. - Yu Lei; Limin Shen; Zhu Sun 001; Tiantian He 001; Shanshan Feng 001; Guanfeng Liu 001 (Neural Networks, 2025)

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins. - Chen Li 047; Guoyan Huang; Zhu Sun 001; Lu Zhang 063; Shanshan Feng 001; Guanfeng Liu 001 (Neural Networks, 2025)

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization. - Hongxu Wang; Zhu Sun 001; Yingpeng Du; Lu Zhang 063; Tiantian He 001; Yew-Soon Ong (CoRR, 2025)

A Reinforcement Learning Method to Factual and Counterfactual Explanations for Session-based Recommendation. - Han Zhou; Hui Fang 002; Zhu Sun 001; Wentao Hu (CoRR, 2025)

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? - Kaidong Feng; Zhu Sun 001; Jie Yang 028; Hui Fang 002; Xinghua Qu; Wenyuan Liu (CoRR, 2025)

A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. - Shuang Wang 012; He Zhang; Quan Z. Sheng; Xiaoping Li 001; Zhu Sun 001; Taotao Cai; Wei Emma Zhang; Jian Yang 001; Qing Gao 001 (IEEE Trans. Big Data, 2025)

Adaptive Intention Learning for Session-Based Recommendation. - Qingbo Zhang; Xiaochun Yang 001; Hao Chen; Bin Wang 015; Zhu Sun 001; Xiangmin Zhou (ACM Trans. Intell. Syst. Technol., 2025)

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Pengfei Ding 001; Hongyang Liu; Zhu Sun 001 (CoRR, 2025)

Reinforcement Speculative Decoding for Fast Ranking. - Yingpeng Du; Tianjun Wei; Zhu Sun 001; Jie Zhang 002 (CoRR, 2025)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang; Wenhai Wang (ACM Trans. Inf. Syst., 2025)

Context-Adaptive Graph Neural Networks for Next POI Recommendation. - Yu Lei; Limin Shen; Zhu Sun 001; Tiantian He 001; Yew-Soon Ong (CoRR, 2025)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. - Yanhui Li; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Huizhong Guo (CoRR, 2025)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Jieyi Bi; Haoyan Chua; Tianjun Wei; Jie Zhang 002 (CoRR, 2025)

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. - Hongyang Liu; Zhu Sun 001; Tianjun Wei; Yan Wang 002; Jiajie Zhu 001; Xinghua Qu (CoRR, 2025)

Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Zhu Sun 001 (ACM Trans. Inf. Syst., 2025)