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ORCIDZhu Sun 0001
Person information
- affiliation: Agency for Science, Technology and Research (A STAR), Centre for Frontier AI Research and the Institute of High Performance Computing, , Singapore
- affiliation: Macquarie University, Department of Computing, Sydney, Australia
- affiliation (PhD 2018): Nanyang Technological University, School of Computer Engineering, Singapore
Other persons with the same name
- Zhu Sun 0002
![[0000-0001-9304-7569]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9304-7569")
— Chang'an University, School of Information Engineering, Xi'an, China - Zhu Sun 0003 — Nanjing Institute of Agriculture Mechanization, Ministry of Agriculture and Rural Affairs, Department of Plant Protection and Environmental Engineering, Technology Research Center, Nanjing, China
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Books and Theses
- 2018
[b1]Zhu Sun:
Exploiting item relationships for effective recommendation. Nanyang Technological University, Singapore, 2018
Journal Articles
- 2024
- [j19]Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong:
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2353-2363 (2024) - [j18]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42(1): 15:1-15:28 (2024) - [j17]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42(1): 24:1-24:34 (2024) - [j16]Yatong Sun, Xiaochun Yang, Zhu Sun, Bin Wang:
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals. ACM Trans. Inf. Syst. 42(2): 41:1-41:33 (2024) - [j15]Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu:
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2(3): 24:1-24:34 (2024) - 2023
- [j14]Qing Yin, Danning Zhang, Hui Fang, Zhu Sun:
Purpose tendency-aware diversified strategy for effective session-based recommendation. Electron. Commer. Res. Appl. 57: 101235 (2023) - [j13]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j12]Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh:
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7782-7795 (2023) - [j11]Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun:
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6146-6157 (2023) - [j10]Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia:
Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7810-7823 (2023) - 2022
- [j9]Xiao Sha, Zhu Sun, Jie Zhang:
Disentangling Multi-Facet Social Relations for Recommendation. IEEE Trans. Comput. Soc. Syst. 9(3): 867-878 (2022) - [j8]Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang:
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins. IEEE Trans. Knowl. Data Eng. 34(12): 5925-5938 (2022) - 2021
- [j7]Xiao Sha, Zhu Sun, Jie Zhang:
Hierarchical attentive knowledge graph embedding for personalized recommendation. Electron. Commer. Res. Appl. 48: 101071 (2021) - [j6]Hongyang Liu, Zhu Sun, Xinghua Qu, Fuyong Yuan:
Top-aware recommender distillation with deep reinforcement learning. Inf. Sci. 576: 642-657 (2021) - [j5]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - 2020
- [j4]Xin Zhou, Guibing Guo, Zhu Sun, Yuan Liu:
Multi-facet user preference learning for fine-grained item recommendation. Neurocomputing 385: 258-268 (2020) - [j3]Lu Zhang, Zhu Sun, Jie Zhang, Horst Kloeden, Felix Klanner:
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins. Inf. Sci. 515: 169-190 (2020) - 2019
- [j2]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research commentary on recommendations with side information: A survey and research directions. Electron. Commer. Res. Appl. 37 (2019) - 2018
- [j1]Huihuai Qiu, Yun Liu, Guibing Guo, Zhu Sun, Jie Zhang, Hai Thanh Nguyen:
BPRH: Bayesian personalized ranking for heterogeneous implicit feedback. Inf. Sci. 453: 80-98 (2018)
Conference and Workshop Papers
- 2023
- [c33]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE 2023: 1260-1272 - [c32]Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang, Yan Wang:
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation. NeurIPS 2023 - [c31]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) 2023: 322-334 - [c30]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. RecSys 2023: 515-527 - [c29]Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong:
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys 2023: 613-624 - [c28]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR 2023: 2701-2711 - [c27]Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang:
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM 2023: 1275-1276 - 2022
- [c26]Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu:
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI 2022: 3751-3757 - [c25]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c24]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [c23]Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR 2022: 2900-2911 - 2021
- [c22]Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang:
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data. IJCAI 2021: 1579-1585 - 2020
- [c21]Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation. AAAI 2020: 83-90 - [c20]Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner:
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins. IJCAI 2020: 3551-3557 - [c19]Xin Zhou, Zhu Sun, Guibing Guo, Yuan Liu:
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation. PAKDD (1) 2020: 181-193 - [c18]Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng:
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. RecSys 2020: 23-32 - 2019
- [c17]Qing Guo, Zhu Sun, Jie Zhang, Yin-Leng Theng:
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks. ICWE 2019: 72-80 - [c16]Qing Guo, Zhu Sun, Yin-Leng Theng:
Exploiting Side Information for Recommendation. ICWE 2019: 569-573 - 2018
- [c15]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Long-Kai Huang, Chi Xu:
Recurrent knowledge graph embedding for effective recommendation. RecSys 2018: 297-305 - 2017
- [c14]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon:
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation. AAAI 2017: 189-195 - [c13]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CIKM 2017: 1459-1468 - [c12]Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, Yu Chen, Chi Xu:
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation. IJCAI 2017: 2807-2813 - [c11]Chang Xu, Jie Zhang, Zhu Sun:
Online Reputation Fraud Campaign Detection in User Ratings. IJCAI 2017: 3873-3879 - [c10]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
CitRec 2017: International Workshop on Recommender Systems for Citizens. RecSys 2017: 388-389 - [c9]Zhu Sun, Guibing Guo, Jie Zhang:
Learning hierarchical category influence on both users and items for effective recommendation. SAC 2017: 1679-1684 - [c8]Qing Guo, Zhu Sun, Jie Zhang, Qi Chen, Yin-Leng Theng:
Aspect-aware Point-of-Interest Recommendation with Geo-Social Influence. UMAP (Adjunct Publication) 2017: 17-22 - [c7]Zhu Sun, Guibing Guo, Jie Zhang, Chi Xu:
A Unified Latent Factor Model for Effective Category-Aware Recommendation. UMAP 2017: 389-390 - 2016
- [c6]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang:
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization. RecSys 2016: 51-58 - [c5]Zhu Sun, Guibing Guo, Jie Zhang:
Effective Recommendation with Category Hierarchy. UMAP 2016: 299-300 - [c4]Hui-Huai Qiu, Guibing Guo, Jie Zhang, Zhu Sun, Hai Thanh Nguyen, Yun Liu:
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback. UMAP 2016: 305-306 - 2015
- [c3]Guibing Guo, Jie Zhang, Zhu Sun, Neil Yorke-Smith:
LibRec: A Java Library for Recommender Systems. UMAP Workshops 2015 - [c2]Zhu Sun, Guibing Guo, Jie Zhang:
Exploiting Implicit Item Relationships for Recommender Systems. UMAP 2015: 252-264 - [c1]Zhu Sun:
Exploiting Item and User Relationships for Recommender Systems. UMAP 2015: 397-402
Editorship
- 2017
- [e1]Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha A. Larson:
Proceedings of International Workshop on Citizens for Recommender Systems, CitRec@RecSys 2017, 31 August 2017, Como, Italy. ACM 2017 [contents]
Informal and Other Publications
- 2024
- [i21]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun:
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - [i20]Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang:
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. CoRR abs/2403.16427 (2024) - [i19]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR abs/2404.00261 (2024) - [i18]Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang:
Does Knowledge Graph Really Matter for Recommender Systems? CoRR abs/2404.03164 (2024) - [i17]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation. CoRR abs/2404.11180 (2024) - [i16]Fan Li, Ching-Hung Lee, Su Han, Shanshan Feng, Zhuoxuan Jiang, Zhu Sun:
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models. CoRR abs/2405.13426 (2024) - 2023
- [i15]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR abs/2306.08219 (2023) - [i14]Jiajie Zhu, Yan Wang, Feng Zhu, Zhu Sun:
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation. CoRR abs/2307.13910 (2023) - [i13]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR abs/2308.09309 (2023) - [i12]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. CoRR abs/2312.07552 (2023) - [i11]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR abs/2312.16262 (2023) - 2022
- [i10]Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh:
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. CoRR abs/2201.05333 (2022) - [i9]Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR abs/2206.10848 (2022) - [i8]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. CoRR abs/2208.13453 (2022) - [i7]Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang:
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR abs/2209.00472 (2022) - [i6]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR abs/2212.07030 (2022) - 2020
- [i5]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun:
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR abs/2008.06199 (2020) - 2019
- [i4]Zhu Sun, Qing Guo, Jie Yang, Hui Fang, Guibing Guo, Jie Zhang, Robin Burke:
Research Commentary on Recommendations with Side Information: A Survey and Research Directions. CoRR abs/1909.12807 (2019) - [i3]Xiao Sha, Zhu Sun, Jie Zhang:
Attentive Knowledge Graph Embedding for Personalized Recommendation. CoRR abs/1910.08288 (2019) - [i2]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - 2017
- [i1]Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax:
Interacting Attention-gated Recurrent Networks for Recommendation. CoRR abs/1709.01532 (2017)
Coauthor Index
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