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ORCIDTong Chen 0005
Person information
- affiliation: University of Queensland, Brisbane, QLD, Australia
Other persons with the same name
- Tong Chen — disambiguation page
- Tong Chen 0001 — IBM T.J. Watson Research Center, Yorktown Heights, NY, USA
- Tong Chen 0002
![[0000-0003-3752-9971]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3752-9971")
— Université de Toulouse, Toulouse, France - Tong Chen 0003 — Tianjin University, Tianjin, China
- Tong Chen 0004 — Nanjing University, School of Electronic Science and Engineering, China
- Tong Chen 0006 — Zhejiang University, Hangzhou, China
- Tong Chen 0007 — Beijing Jiaotong University, Beijing Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Tong Chen 0008 — Southwest University, Chongqing, China (and 1 more)
- Tong Chen 0009 — University of Auckland, New Zealand
- Tong Chen 0010 — University of Minnesota, Minneapolis, MN, USA
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2020 – today
- 2023
[j22]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): 2103-2117 (2023)- [j21]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): 3059-3071 (2023) - [j20]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): 3645-3657 (2023) - [j19]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): 7397-7411 (2023) - [j18]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): 9656-9670 (2023) - [j17]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): 4345-4358 (2023) - [j16]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): 65:1-65:30 (2023) - [j15]Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. ACM Trans. Inf. Syst. 41(3): 66:1-66:25 (2023) - [j14]Yuting Sun, Tong Chen, Hongzhi Yin:
Spatial-temporal meta-path guided explainable crime prediction. World Wide Web (WWW) 26(4): 2237-2263 (2023) - [c35]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: 423-432 - [c34]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c33]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: 1578-1588 - [i40]Xinyi Gao, Wentao Zhang, Tong Chen, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks. CoRR abs/2302.14061 (2023) - [i39]Yuting Sun, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin:
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT. CoRR abs/2303.03611 (2023) - [i38]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i37]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 abs/2304.03947 (2023) - [i36]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - 2022
- [j13]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): 2:1-2:25 (2022) - [j12]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): 2778-2786 (2022) - [j11]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): 914-926 (2022) - [j10]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): 3:1-3:27 (2022) - [j9]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [j8]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): 4957-4960 (2022) - [j7]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and privacy-preserving federated recommender system. VLDB J. 31(5): 877-896 (2022) - [c32]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: 1533-1534 - [c31]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: 1294-1303 - [c30]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: 1664-1673 - [c29]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [c28]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: 391-399 - [c27]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. WWW 2022: 871-881 - [i35]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR abs/2201.02757 (2022) - [i34]Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui:
Unified Question Generation with Continual Lifelong Learning. CoRR abs/2201.09696 (2022) - [i33]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. CoRR abs/2203.15876 (2022) - [i32]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 abs/2204.02592 (2022) - [i31]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Hongzhi Yin:
Decentralized Collaborative Learning Framework for Next POI Recommendation. CoRR abs/2204.06516 (2022) - [i30]Guanhua Ye, Hongzhi Yin, Tong Chen:
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics. CoRR abs/2205.13705 (2022) - [i29]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 abs/2206.08050 (2022) - [i28]Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation. CoRR abs/2206.08088 (2022) - [i27]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 abs/2207.00594 (2022) - [i26]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 abs/2207.13897 (2022) - [i25]Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin:
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation. CoRR abs/2209.02544 (2022) - [i24]Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin:
Self-supervised Graph-based Point-of-interest Recommendation. CoRR abs/2210.12506 (2022) - 2021
- [j6]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): 818-826 (2021) - [j5]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): 2848-2856 (2021) - [j4]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): 631-655 (2021) - [j3]Yang Li, Tong Chen, Zi Huang:
Attribute-aware explainable complementary clothing recommendation. World Wide Web 24(5): 1885-1901 (2021) - [c26]Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. CIKM 2021: 967-977 - [c25]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: 2033-2038 - [c24]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: 2129-2134 - [c23]Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. IJCAI 2021: 1491-1497 - [c22]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: 2483-2489 - [c21]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD 2021: 138-147 - [c20]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021: 808-817 - [c19]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [i23]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 abs/2101.00752 (2021) - [i22]Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang:
FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR abs/2101.02873 (2021) - [i21]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i20]Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng:
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. CoRR abs/2103.13506 (2021) - [i19]Qinyong Wang, Hongzhi Yin, Tong Chen, Junliang Yu, Alexander Zhou, Xiangliang Zhang:
Fast-adapting and Privacy-preserving Federated Recommender System. CoRR abs/2104.00919 (2021) - [i18]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i17]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR abs/2104.01716 (2021) - [i16]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 abs/2105.03300 (2021) - [i15]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR abs/2105.04774 (2021) - [i14]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR abs/2106.02223 (2021) - [i13]Yang Li, Tong Chen, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. CoRR abs/2106.15814 (2021) - [i12]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. CoRR abs/2107.00846 (2021) - [i11]Yang Li, Tong Chen, Zi Huang:
Attribute-aware Explainable Complementary Clothing Recommendation. CoRR abs/2107.01655 (2021) - [i10]Yang Li, Tong Chen, Peng-Fei Zhang, Hongzhi Yin:
Lightweight Self-Attentive Sequential Recommendation. CoRR abs/2108.11333 (2021) - [i9]Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs. CoRR abs/2109.07571 (2021) - [i8]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021) - [i7]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 abs/2112.09341 (2021) - 2020
- [b1]Tong Chen:
Sequence modelling for e-commerce. University of Queensland, Australia, 2020 - [j2]Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li:
Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowl. Inf. Syst. 62(6): 2139-2167 (2020) - [j1]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [c18]Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020: 214-221 - [c17]Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou:
Decentralized Embedding Framework for Large-Scale Networks. DASFAA (3) 2020: 425-441 - [c16]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. ICDE 2020: 1405-1416 - [c15]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD 2020: 1503-1511 - [c14]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020: 669-678 - [c13]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698 - [c12]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. SIGIR 2020: 891-900 - [c11]Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW 2020: 906-916 - [i6]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. CoRR abs/2005.09344 (2020) - [i5]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. CoRR abs/2005.10150 (2020) - [i4]Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial:
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR abs/2006.01963 (2020) - [i3]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. CoRR abs/2007.02747 (2020)
2010 – 2019
- 2019
- [c10]Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen:
What Can History Tell Us? CIKM 2019: 1593-1602 - [c9]Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li:
AIR: Attentional Intention-Aware Recommender Systems. ICDE 2019: 304-315 - [c8]Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li:
Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. ICDE 2019: 590-601 - [c7]Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen:
Inferring Substitutable Products with Deep Network Embedding. IJCAI 2019: 4306-4312 - [c6]Lei Guo, Hongzhi Yin, Qinyong Wang, Tong Chen, Alexander Zhou, Nguyen Quoc Viet Hung:
Streaming Session-based Recommendation. KDD 2019: 1569-1577 - [i2]Tong Chen, Hongzhi Yin, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li, Xiaofang Zhou:
Sequence-Aware Factorization Machines for Temporal Predictive Analytics. CoRR abs/1911.02752 (2019) - 2018
- [c5]Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li:
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. ICDM 2018: 49-58 - [c4]Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang:
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. PAKDD (Workshops) 2018: 40-52 - [c3]Tong Chen, Hongxu Chen, Xue Li:
Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions. PAKDD (Workshops) 2018: 121-127 - 2017
- [c2]Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li:
Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage. ADMA 2017: 225-242 - [c1]Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen:
People Opinion Topic Model: Opinion based User Clustering in Social Networks. WWW (Companion Volume) 2017: 1353-1359 - [i1]Tong Chen, Lin Wu, Xue Li, Jun Zhang, Hongzhi Yin, Yang Wang:
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. CoRR abs/1704.05973 (2017)
Coauthor Index
Li-zhen Cui
aka: Lizhen Cui
aka: Lizhen Cui
Nguyen Quoc Viet Hung
aka: Quoc Viet Hung Nguyen
aka: Quoc Viet Hung Nguyen
[j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [c35] [c34] [c33] [i40] [i39] [i38] [i37] [i36] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [j6] [j5] [j4] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [i9] [i8] [i7] [j2] [j1] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i6] [i5] [i4] [i3] [c10] [c9] [c8] [c7] [c6] [i2] [c5] [c4] [c1] [i1]
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