Zhu Sun

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation	2024	Zhigang Wu Zhu Sun Dongxia Wang Lu Zhang Jie Zhang Yew-Soon Ong
+ PDF Chat	Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons	2024	Jiao Liu Zhu Sun Shanshan Feng Yew-Soon Ong
+ PDF Chat	Large Language Models for Intent-Driven Session Recommendations	2024	Zhu Sun Hongyang Liu Xinghua Qu Kaidong Feng Yan Wang Yew-Soon Ong
+ PDF Chat	Adaptive In-Context Learning with Large Language Models for Bundle Generation	2024	Zhu Sun Kaidong Feng Jie Yang Xinghua Qu Hui Fang Yew-Soon Ong Wenyuan Liu
+ PDF Chat	Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation	2024	Shanshan Feng Haoming Lyu Fan Li Zhu Sun Caishun Chen
+ PDF Chat	Does Knowledge Graph Really Matter for Recommender Systems?	2024	Haonan Zhang Dongxia Wang Zhu Sun Yanhui Li Youcheng Sun Huizhi Liang Wenhai Wang
+ PDF Chat	Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation	2024	Ziyan Wang Yingpeng Du Zhu Sun Haoyan Chua Kaidong Feng Wenya Wang Jie Zhang
+ PDF Chat	Large Language Model with Graph Convolution for Recommendation	2024	Yingpeng Du Ziyan Wang Zhu Sun Haoyan Chua Hongzhi Liu Zhonghai Wu Yining Ma Jie Zhang Youchen Sun
+	Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation	2023	Jia-Jie Zhu Yan Wang Feng Zhu Zhu Sun
+ PDF Chat	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects	2023	Xinghua Qu Hongyang Liu Zhu Sun Xiang Yin Yew-Soon Ong Lu Lu Zejun Ma
+	Understanding Diversity in Session-based Recommendation	2023	Yin Qing Hui Fang Zhu Sun Yew-Soon Ong
+	A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals	2023	Zhu Sun Yu Lei Lu Zhang Chen Li Yew-Soon Ong Jie Zhang
+ PDF Chat	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation	2023	Huizi Wu Hui Fang Zhu Sun Cong Geng Xinyu Kong Yew-Soon Ong
+	Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities	2023	Jinze Wang Lu Zhang Zhu Sun Yew-Soon Ong
+	Large Language Models for Intent-Driven Session Recommendations	2023	Zhu Sun Hongyang Liu Xinghua Qu Kaidong Feng Yan Wang Yew-Soon Ong
+	Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation	2023	Zhu Sun Kaidong Feng Jie Yang Xinghua Qu Hui Fang Yew-Soon Ong Wenyuan Liu
+ PDF Chat	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation	2022	Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie Zhang
+ PDF Chat	Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation	2022	Zhuoyi Lin Sheng Zang Rundong Wang Zhu Sun J. Senthilnath Chi Xu Chee Keong Kwoh
+	Understanding Diversity in Session-Based Recommendation	2022	Yin Qing Hui Fang Zhu Sun Yew-Soon Ong
+	A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals	2022	Zhu Sun Lei Yu Lu Zhang Chen Li Yew-Soon Ong Jie Zhang
+	A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation	2022	Huizi Wu Hui Fang Zhu Sun Cong Geng Xinyu Kong Yew-Soon Ong
+	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation	2022	Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie Zhang
+	Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation	2022	Zhuoyi Lin Sheng Zang Rundong Wang Zhu Sun J. Senthilnath Chi Xu Chee Keong Kwoh
+ PDF Chat	Adversary Agnostic Robust Deep Reinforcement Learning	2021	Xinghua Qu Abhishek Gupta Yew-Soon Ong Zhu Sun
+ PDF Chat	Hierarchical attentive knowledge graph embedding for personalized recommendation	2021	Xiao Sha Zhu Sun Jie Zhang
+	Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.	2020	Xinghua Qu Yew-Soon Ong Abhishek Gupta Zhu Sun
+	Adversary Agnostic Robust Deep Reinforcement Learning	2020	Xinghua Qu Yew-Soon Ong Abhishek Gupta Zhu Sun
+ PDF Chat	Research commentary on recommendations with side information: A survey and research directions	2019	Zhu Sun Qing Guo Jie Yang Hui Fang Guibing Guo Jie Zhang Robin Burke
+	Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy	2019	Xinghua Qu Zhu Sun Yew-Soon Ong Abhishek Gupta Pengfei Wei
+ PDF Chat	Interacting Attention-gated Recurrent Networks for Recommendation	2017	Wenjie Pei Jie Yang Zhu Sun Jie Zhang Alessandro Bozzon David M. J. Tax
+	Interacting Attention-gated Recurrent Networks for Recommendation	2017	Wenjie Pei Jie Yang Zhu Sun Jie Zhang Alessandro Bozzon David M. J. Tax

Common Coauthors

Coauthor	Papers Together
Yew-Soon Ong	20
Xinghua Qu	11
Hui Fang	9
Jie Yang	6
Kaidong Feng	5
Jie Zhang	5
Hongyang Liu	4
Abhishek Gupta	3
Yan Wang	3
David M. J. Tax	2
Yingpeng Du	2
Zhuoyi Lin	2
Rundong Wang	2
Chee Keong Kwoh	2
Alessandro Bozzon	2
Sheng Zang	2
Di Yu	2
Wenjie Pei	2
Chen Li	2
Lu Zhang	2
Jie Zhang	2
Wenyuan Liu	2
Ziyan Wang	2
Huizi Wu	2
Yin Qing	2
Dongxia Wang	2
Xinyu Kong	2
Haoyan Chua	2
Cong Geng	1
Huizhi Liang	1
Guibing Guo	1
Cong Geng	1
Yining Ma	1
J. Senthilnath	1
Shanshan Feng	1
Haoming Lyu	1
Shanshan Feng	1
Jiao Liu	1
Feng Zhu	1
Fan Li	1
Lei Yu	1
Lu Zhang	1
Lu Zhang	1
Wenya Wang	1
Jie Zhang	1
Zhigang Wu	1
Youchen Sun	1
Hongyang Liu	1
Jie Zhang	1
Youcheng Sun	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Self-Attentive Sequential Recommendation	2018	Wang-Cheng Kang Julian McAuley	6
+ PDF Chat	Neural Graph Collaborative Filtering	2019	Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat‐Seng Chua	6
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	6
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	6
+ PDF Chat	Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation	2019	Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie Minyi Guo	5
+ PDF Chat	Session-Based Recommendation with Graph Neural Networks	2019	Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan	5
+ PDF Chat	Explainable Reasoning over Knowledge Graphs for Recommendation	2019	Xiang Wang Dingxian Wang Canran Xu Xiangnan He Yixin Cao Tat‐Seng Chua	5
+ PDF Chat	Neural Attentive Session-based Recommendation	2017	Jing Li Pengjie Ren Zhumin Chen Zhaochun Ren Tao Lian Jun Ma	5
+	Leveraging Large Language Models for Sequential Recommendation	2023	Jesse Harte Wouter Zorgdrager Πάνος Λουρίδας Asterios Katsifodimos Dietmar Jannach Marios Fragkoulis	4
+ PDF Chat	Knowledge Graph Convolutional Networks for Recommender Systems	2019	Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo	4
+ PDF Chat	TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation	2020	Feng Yu Yanqiao Zhu Qiang Liu Shu Wu Liang Wang Tieniu Tan	4
+ PDF Chat	RippleNet	2018	Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie Minyi Guo	4
+ PDF Chat	Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences	2019	Yixin Cao Xiang Wang Xiangnan He Zikun Hu Tat‐Seng Chua	4
+ PDF Chat	KGAT	2019	Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat‐Seng Chua	4
+	Uncovering ChatGPT’s Capabilities in Recommender Systems	2023	Sunhao Dai Ninglu Shao Haiyuan Zhao Weijie Yu Zihua Si Xu Chen Zhongxiang Sun Xiao Zhang Jun Xu	4
+ PDF Chat	Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems	2019	Hongwei Wang Fuzheng Zhang Mengdi Zhang Jure Leskovec Miao Zhao Wenjie Li Zhongyuan Wang	4
+ PDF Chat	Improving End-to-End Sequential Recommendations with Intent-aware Diversification	2020	Wanyu Chen Pengjie Ren Fei Cai Fei Sun Maarten de Rijke	4
+ PDF Chat	Disentangled Graph Collaborative Filtering	2020	Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat‐Seng Chua	4
+	Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation	2019	Xin Xin Xiangnan He Yongfeng Zhang Yongdong Zhang Joemon M. Jose	3
+ PDF Chat	Image-Based Recommendations on Styles and Substitutes	2015	Julian McAuley Christopher Targett Qinfeng Shi Anton van den Hengel	3
+ PDF Chat	Improved Recurrent Neural Networks for Session-based Recommendations	2016	Yong Tan Xinxing Xu Yong Liu	3
+	Adversarial Examples: Attacks and Defenses for Deep Learning	2019	Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li	3
+	TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation	2023	Keqin Bao Jizhi Zhang Yang Zhang Wenjie Wang Fuli Feng Xiangnan He	3
+ PDF Chat	Interacting Attention-gated Recurrent Networks for Recommendation	2017	Wenjie Pei Jie Yang Zhu Sun Jie Zhang Alessandro Bozzon David M. J. Tax	3
+	Session-based Recommendations with Recurrent Neural Networks	2015	Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas Domonkos Tikk	3
+	Variational Autoencoders for Collaborative Filtering	2018	Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara	3
+ PDF Chat	Temporal Attention-Gated Model for Robust Sequence Classification	2017	Wenjie Pei Tadas Baltrušaitis David M. J. Tax Louis–Philippe Morency	3
+ PDF Chat	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation	2022	Yitong Pang Lingfei Wu Qi Shen Yiming Zhang Zhihua Wei Fangli Xu Ethan Chang Bo Long Jian Pei	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Aesthetic-based Clothing Recommendation	2018	Wenhui Yu Huidi Zhang Xiangnan He Xu Chen Li Xiong Zheng Qin	3
+ PDF Chat	Fast Matrix Factorization for Online Recommendation with Implicit Feedback	2016	Xiangnan He Hanwang Zhang Min‐Yen Kan Tat‐Seng Chua	3
+	Large Language Models as Zero-Shot Conversational Recommenders	2023	Zhankui He Zhouhang Xie R. K. Jha Harald Steck Dawen Liang Yesu Feng Bodhisattwa Prasad Majumder Nathan Kallus Julian McAuley	3
+	Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View	2020	Jibing Gong Shen Wang Jinlong Wang Wenzheng Feng Hao Peng Jie Tang Philip S. Yu	3
+	Characterizing Attacks on Deep Reinforcement Learning	2019	Chaowei Xiao Xinlei Pan Warren He Bo Li Jian Peng Mingjie Sun Jinfeng Yi Mingyan Liu Dawn Song	3
+ PDF Chat	Adversarial Personalized Ranking for Recommendation	2018	Xiangnan He Zhankui He Xiaoyu Du Tat‐Seng Chua	3
+	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation	2020	Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang	3
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+ PDF Chat	An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph	2020	Jiarui Jin Jiarui Qin Yuchen Fang Kounianhua Du Weinan Zhang Yong Yu Zheng Zhang Alexander J. Smola	3
+	Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences	2023	Scott Sanner Krisztian Balog Filip Radlinski Ben Wedin Lucas Dixon	3
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	2
+	Natural Language Processing (almost) from Scratch	2011	Ronan Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa	2
+ PDF Chat	Neural Factorization Machines for Sparse Predictive Analytics	2017	Xiangnan He Tat‐Seng Chua	2
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+	Discrete Factorization Machines for Fast Feature-based Recommendation	2018	Han Liu Xiangnan He Fuli Feng Liqiang Nie Rui Liu Hanwang Zhang	2
+ PDF Chat	Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations	2014	Luo Chen Wei Pang Zhe Wang Chenghua Lin	2
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Adversarial Attacks on Neural Network Policies	2017	Sandy H. Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Recurrent Poisson Factorization for Temporal Recommendation	2017	Seyed Abbas Hosseini Keivan Alizadeh Ali Khodadadi Ali Arabzadeh Mehrdad Farajtabar Hongyuan Zha Hamid R. Rabiee	2