Zhu Sun - RankMe

130 papers A* 28A 14B 2Misc 1Journal 75Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting using Smartphone Sensing Data. CoRR Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng, Yi Ding
2026	J	`jnl`	A user trajectory simulation framework for next POI recommendation with uncertain check-ins. Neural Networks Chen Li, Guoyan Huang, Shanshan Feng, Zhu Sun
2026	J	`jnl`	Context-adaptive Graph Neural Networks for Next POI recommendation. Electron. Commer. Res. Appl. Yu Lei, Limin Shen, Zhu Sun, Tiantian He
2026	J	`jnl`	Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share. ACM Trans. Inf. Syst. Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong
2026	A*	`conf`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. AAAI Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2026	A*	`conf`	Dynamic Experts Synergy for Multi-Task Recommendation. WWW Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan
2026	A*	`conf`	HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract). AAAI Kunrong Li, Zhu Sun, Kwan Hui Lim
2026	J	`jnl`	MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging. CoRR Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun
2026	A*	`conf`	ONE-PASS: Single Forward Pass Decoding for Listwise Reranking. WWW Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang
2026	—	`conf`	Reinforcement Speculative Decoding for Fast Ranking. KDD (1) Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang
2026	J	`jnl`	Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking. CoRR Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun
2026	J	`jnl`	VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection. CoRR Samal Mukhtar, Yinghua Yao, Zhu Sun, Mustafa Mustafa, Yew Soon Ong, Youcheng Sun
2026	J	`jnl`	iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification. CoRR Zhuoxuan Huang, Yunshan Ma, Hongyu Zhang, Hua Ma, Zhu Sun
2025	J	`jnl`	A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models. Int. J. Hum. Comput. Interact. Fan Li, Su Han, Ching-Hung Lee, Shanshan Feng, Zhuoxuan Jiang, Zhu Sun
2025	J	`jnl`	A Reinforcement Learning Method to Factual and Counterfactual Explanations for Session-based Recommendation. CoRR Han Zhou, Hui Fang, Zhu Sun, Wentao Hu
2025	J	`jnl`	A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. IEEE Trans. Big Data Shuang Wang, He Zhang, Quan Z. Sheng, Xiaoping Li, Zhu Sun, Taotao Cai, Wei Emma Zhang, Jian Yang, Qing Gao
2025	A*	`conf`	Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. AAAI Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	Active Large Language Model-based Knowledge Distillation for Session-based Recommendation. CoRR Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong
2025	J	`jnl`	Adaptive Intention Learning for Session-Based Recommendation. ACM Trans. Intell. Syst. Technol. Qingbo Zhang, Xiaochun Yang, Hao Chen, Bin Wang, Zhu Sun, Xiangmin Zhou
2025	J	`jnl`	COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation. Neural Networks Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Shanshan Feng, Guanfeng Liu
2025	J	`jnl`	Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. ACM Trans. Inf. Syst. Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun
2025	J	`jnl`	Causal-Invariant Cross-Domain Out-of-Distribution Recommendation. CoRR Jiajie Zhu, Yan Wang, Feng Zhu, Pengfei Ding, Hongyang Liu, Zhu Sun
2025	J	`jnl`	Context-Adaptive Graph Neural Networks for Next POI Recommendation. CoRR Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Yew-Soon Ong
2025	J	`jnl`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. CoRR Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2025	J	`jnl`	Does Knowledge Distillation Matter for Large Language Model based Bundle Generation? CoRR Kaidong Feng, Zhu Sun, Jie Yang, Hui Fang, Xinghua Qu, Wenyuan Liu
2025	A*	`conf`	Enhancing New-item Fairness in Dynamic Recommender Systems. SIGIR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	Enhancing New-item Fairness in Dynamic Recommender Systems. CoRR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation. CoRR Kunrong Li, Zhu Sun, Kwan Hui Lim
2025	J	`jnl`	KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? ACM Trans. Inf. Syst. Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2025	J	`jnl`	LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. CoRR Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang
2025	A*	`conf`	LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation. AAAI Yatong Sun, Xiaochun Yang, Zhu Sun, Yan Wang, Bin Wang, Xinghua Qu
2025	—	`conf`	LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. KDD (2) Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo
2025	J	`jnl`	LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. CoRR Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo
2025	J	`jnl`	Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. CoRR Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang
2025	J	`jnl`	Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling. CoRR Zongqian Wu, Baoduo Xu, Tianyu Li, Zhu Sun, Xiaofeng Zhu, Lei Feng
2025	A*	`conf`	Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. WWW Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2025	J	`jnl`	PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins. Neural Networks Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu
2025	A*	`conf`	Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. AAAI Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2025	J	`jnl`	Reinforcement Speculative Decoding for Fast Ranking. CoRR Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang
2025	J	`jnl`	Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation. CoRR Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu, Yew-Soon Ong
2025	J	`jnl`	Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process. CoRR Zhijun Chen, Zeyu Ji, Qianren Mao, Junhang Cheng, Bangjie Qin, Hao Wu, Zhuoran Li, Jingzheng Li, Kai Sun, Zizhe Wang, Yikun Ban, Zhu Sun, Xiangyang Ji, Hailong Sun
2025	J	`jnl`	Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization. CoRR Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong
2024	J	`jnl`	A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2024	J	`jnl`	A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models. CoRR Fan Li, Ching-Hung Lee, Su Han, Shanshan Feng, Zhuoxuan Jiang, Zhu Sun
2024	J	`jnl`	A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2024	A*	`conf`	Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2024	A*	`conf`	An Empirical Analysis on Multi-turn Conversational Recommender Systems. SIGIR Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu
2024	J	`jnl`	BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals. ACM Trans. Inf. Syst. Yatong Sun, Xiaochun Yang, Zhu Sun, Bin Wang
2024	J	`jnl`	Bayesian attention-based user behaviour modelling for click-through rate prediction. CAAI Trans. Intell. Technol. Yihao Zhang, Mian Chen, Ruizhen Chen, Chu Zhao, Meng Yuan, Zhu Sun
2024	—	`conf`	Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models. CAI Xinghua Qu, Zhu Sun, Shanshan Feng, Caishun Chen, Tian Tian
2024	J	`jnl`	Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. CoRR Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun
2024	A*	`conf`	Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang
2024	A*	`conf`	Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
2024	J	`jnl`	Does Knowledge Graph Really Matter for Recommender Systems? CoRR Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2024	J	`jnl`	Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons. CoRR Jiao Liu, Zhu Sun, Shanshan Feng, Yew-Soon Ong
2024	J	`jnl`	Large Language Model with Graph Convolution for Recommendation. CoRR Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun
2024	A*	`conf`	Large Language Models for Intent-Driven Session Recommendations. SIGIR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024	J	`jnl`	MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong
2024	J	`jnl`	Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. CoRR Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
2024	J	`jnl`	Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
2024	A*	`conf`	Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2024	J	`jnl`	Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback. CoRR Hui Fang, Xu Feng, Lu Qin, Zhu Sun
2024	J	`jnl`	Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2024	A	`conf`	Unified Denoising Training for Recommendation. RecSys Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong
2024	—	`conf`	Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CAI Shanshan Feng, Haoming Lyu, Fan Li, Zhu Sun, Caishun Chen
2024	J	`jnl`	Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong
2023	A*	`conf`	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2023	J	`jnl`	Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
2023	J	`jnl`	Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh
2023	J	`jnl`	Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. IEEE Trans. Neural Networks Learn. Syst. Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia
2023	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2023	A	`conf`	Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong
2023	A	`conf`	Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. RecSys Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun
2023	J	`jnl`	Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. CoRR Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun
2023	J	`jnl`	Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
2023	J	`jnl`	Large Language Models for Intent-Driven Session Recommendations. CoRR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
2023	—	`conf`	Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023	J	`jnl`	Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023	J	`jnl`	Purpose tendency-aware diversified strategy for effective session-based recommendation. Electron. Commer. Res. Appl. Qing Yin, Danning Zhang, Hui Fang, Zhu Sun
2023	A*	`conf`	Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation. NeurIPS Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang, Yan Wang
2023	A*	`conf`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	J	`jnl`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	A	`conf`	WSDM 2023 Workshop on Interactive Recommender Systems. WSDM Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
2022	J	`jnl`	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
2022	J	`jnl`	A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. CoRR Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh
2022	J	`jnl`	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
2022	J	`jnl`	Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. Xiao Sha, Zhu Sun, Jie Zhang
2022	A*	`conf`	Importance Prioritized Policy Distillation. KDD Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
2022	A*	`conf`	Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022	J	`jnl`	Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. IEEE Trans. Knowl. Data Eng. Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang
2022	A*	`conf`	Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2022	A*	`conf`	Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
2022	J	`jnl`	Understanding Diversity in Session-Based Recommendation. CoRR Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
2021	A*	`conf`	Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data. IJCAI Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang
2021	J	`jnl`	Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. Xiao Sha, Zhu Sun, Jie Zhang
2021	J	`jnl`	Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
2021	J	`jnl`	Top-aware recommender distillation with deep reinforcement learning. Inf. Sci. Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan
2020	A*	`conf`	An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2020	A*	`conf`	An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner
2020	A	`conf`	Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020	J	`jnl`	Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
2020	J	`jnl`	Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. Inf. Sci. Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden, Felix Klanner
2020	—	`conf`	Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. PAKDD (1) Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu
2020	J	`jnl`	Multi-facet user preference learning for fine-grained item recommendation. Neurocomputing Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu
2019	J	`jnl`	Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR Xiao Sha, Zhu Sun, Jie Zhang
2019	B	`conf`	Exploiting Side Information for Recommendation. ICWE Qing Guo, Zhu Sun, Yin-Leng Theng
2019	J	`jnl`	Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
2019	B	`conf`	Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng
2019	J	`jnl`	Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2019	J	`jnl`	Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke
2018	J	`jnl`	BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen
2018	—	`—`	Exploiting item relationships for effective recommendation Zhu Sun
2018	A	`conf`	Recurrent knowledge graph embedding for effective recommendation. RecSys Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu
2017	A	`conf`	A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu
2017	—	`conf`	Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. UMAP (Adjunct Publication) Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng
2017	A	`conf`	CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2017	A*	`conf`	Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon
2017	A	`conf`	Interacting Attention-gated Recurrent Networks for Recommendation. CIKM Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	J	`jnl`	Interacting Attention-gated Recurrent Networks for Recommendation. CoRR Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax
2017	Misc	`conf`	Learning hierarchical category influence on both users and items for effective recommendation. SAC Zhu Sun, Guibing Guo, Jie Zhang
2017	A*	`conf`	MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu
2017	A*	`conf`	Online Reputation Fraud Campaign Detection in User Ratings. IJCAI Chang Xu, Jie Zhang, Zhu Sun
2017	—	`ed.`	Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy CitRec@RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson
2016	A	`conf`	Effective Recommendation with Category Hierarchy. UMAP Zhu Sun, Guibing Guo, Jie Zhang
2016	A	`conf`	Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
2016	A	`conf`	TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu
2015	A	`conf`	Exploiting Implicit Item Relationships for Recommender Systems. UMAP Zhu Sun, Guibing Guo, Jie Zhang
2015	A	`conf`	Exploiting Item and User Relationships for Recommender Systems. UMAP Zhu Sun
2015	—	`conf`	LibRec: A Java Library for Recommender Systems. UMAP Workshops Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith