Tong Chen

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 127

Top Venues

CoRR

SIGIR

IEEE Trans. Knowl. Data Eng.

ICDE

Publications

Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang, Bin Cui
RobGC: Towards Robust Graph Condensation. CoRR (2024)
Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui
On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. WWW (Companion Volume) (2024)
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
Lightweight Embeddings for Graph Collaborative Filtering. SIGIR (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Junliang Yu, Guanhua Ye, Quoc Viet Hung Nguyen, Hongzhi Yin
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition. CoRR (2024)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Hongliang Ni, Lei Han, Tong Chen, Shazia W. Sadiq, Gianluca Demartini
Fairness without Sensitive Attributes via Knowledge Sharing. FAccT (2024)
Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
Graph Condensation for Open-World Graph Learning. CoRR (2024)
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE (2024)
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Budgeted Embedding Table For Recommender Systems. WSDM (2024)
Yuandong Wang, Xuhui Ren, Tong Chen, Yuxiao Dong, Nguyen Quoc Viet Hung, Jie Tang
Multi-turn Response Selection with Commonsense-enhanced Language Models. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR (2024)
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. CoRR (2024)
Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR (2024)
Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. WWW (2024)
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
Hate Speech Detection with Generalizable Target-aware Fairness. KDD (2024)
Guanhua Ye, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Trans. Intell. Technol. 9 (3) (2024)
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR (2024)
Tong Chen, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin
Hate Speech Detection with Generalizable Target-aware Fairness. CoRR (2024)
Jing Long, Guanhua Ye, Tong Chen, Yang Wang, Meng Wang, Hongzhi Yin
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. KDD (2024)
Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR (2024)
Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
Graph Condensation for Inductive Node Representation Learning. ICDE (2024)
Xinyi Gao, Tong Chen, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin
Graph Condensation for Open-World Graph Learning. KDD (2024)
Xurong Liang, Tong Chen, Lizhen Cui, Yang Wang, Meng Wang, Hongzhi Yin
Lightweight Embeddings for Graph Collaborative Filtering. CoRR (2024)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
Challenging Low Homophily in Social Recommendation. WWW (2024)
Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW (2024)
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT. IEEE Trans. Ind. Informatics 20 (1) (2024)
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Budgeted Embedding Table For Recommender Systems. CoRR (2023)
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR (2023)
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR (2023)
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Yuting Sun, Tong Chen, Hongzhi Yin
Spatial-temporal meta-path guided explainable crime prediction. World Wide Web (WWW) 26 (4) (2023)
Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT. CoRR (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. SIGIR (2023)
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
Decentralized Collaborative Learning Framework for Next POI Recommendation. ACM Trans. Inf. Syst. 41 (3) (2023)
Yi Liu, Hongrui Xuan, Bohan Li, Meng Wang, Tong Chen, Hongzhi Yin
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. CIKM (2023)
Mubashir Imran, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Alexander Zhou, Kai Zheng
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41 (3) (2023)
Guanhua Ye, Tong Chen, Yawen Li, Lizhen Cui, Quoc Viet Hung Nguyen, Hongzhi Yin
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
Continuous Input Embedding Size Search For Recommender Systems. CoRR (2023)
Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning. SIGIR (2023)
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs. ACM Trans. Intell. Syst. Technol. 13 (1) (2022)
Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin
Self-supervised Graph-based Point-of-interest Recommendation. CoRR (2022)
Lei Guo, Jinyu Zhang, Li Tang, Tong Chen, Lei Zhu, Hongzhi Yin
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation. CoRR (2022)
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE (2022)
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. SIGIR (2022)
Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation. CoRR (2022)
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui
Unified Question Generation with Continual Lifelong Learning. WWW (2022)
Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu
Social Boosted Recommendation With Folded Bipartite Network Embedding. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Yi Cui, Feifei Bai, Hongzhi Yin, Tong Chen, David Dart, Matthew Zillmann, Ryan K. L. Ko
Multiscale Adaptive Multifractal Detrended Fluctuation Analysis-Based Source Identification of Synchrophasor Data. IEEE Trans. Smart Grid 13 (6) (2022)
Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin
Decentralized Collaborative Learning Framework for Next POI Recommendation. CoRR (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation. SIGIR (2022)
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang
Self-Supervised Learning for Recommender Systems: A Survey. CoRR (2022)
Mubashir Imran, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Alexander Zhou, Kai Zheng
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. CoRR (2022)
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation. ACM Trans. Inf. Syst. 40 (1) (2022)
Guanhua Ye, Hongzhi Yin, Tong Chen
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics. CoRR (2022)
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR (2022)
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31 (5) (2022)
Tong Chen, Hongzhi Yin, Jing Long, Quoc Viet Hung Nguyen, Yang Wang, Meng Wang
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation. CoRR (2022)
Yu Yang, Hongzhi Yin, Jiannong Cao, Tong Chen, Quoc Viet Hung Nguyen, Xiaofang Zhou, Lei Chen
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution. CoRR (2022)
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD (2021)
Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. IJCAI (2021)
Yang Li, Tong Chen, Hongzhi Yin, Zi Huang
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. CoRR (2021)
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR (2021)
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW (2021)
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR (2021)
Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
Gallat: A Spatiotemporal Graph Attention Network for Passenger Demand Prediction. ICDE (2021)
Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE (2021)
Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR (2021)
Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR (2021)
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR (2021)
Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR (2021)
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
Lightweight Self-Attentive Sequential Recommendation. CoRR (2021)
Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin
Exploiting Positional Information for Session-based Recommendation. CoRR (2021)
Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang
Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. IJCAI (2021)
Yang Li, Tong Chen, Zi Huang
Attribute-aware Explainable Complementary Clothing Recommendation. CoRR (2021)
Lei Guo, Li Tang, Tong Chen, Lei Zhu, Quoc Viet Hung Nguyen, Hongzhi Yin
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation. CoRR (2021)
Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin
Lightweight Self-Attentive Sequential Recommendation. CIKM (2021)
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR (2021)
Jianxin Liao, Tongcun Liu, Hongzhi Yin, Tong Chen, Jingyu Wang, Yulong Wang
An integrated model based on deep multimodal and rank learning for point-of-interest recommendation. World Wide Web 24 (2) (2021)
Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs. CoRR (2021)
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR (2021)
Yuandong Wang, Hongzhi Yin, Tong Chen, Chunyang Liu, Ben Wang, Tianyu Wo, Jie Xu
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph. CoRR (2021)
Yang Li, Tong Chen, Zi Huang
Attribute-aware explainable complementary clothing recommendation. World Wide Web 24 (5) (2021)
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR (2021)
Guanhua Ye, Hongzhi Yin, Tong Chen, Miao Xu, Quoc Viet Hung Nguyen, Jiangning Song
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent. CoRR (2021)

Tong Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tong Chen