SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. - Hongzhi Yin; Hongxu Chen 002; Xiaoshuai Sun; Hao Wang 005; Yang Wang 023; Quoc Viet Hung Nguyen (ICDM, 2017)

People Opinion Topic Model: Opinion based User Clustering in Social Networks. - Hongxu Chen 002; Hongzhi Yin; Xue Li 001; Meng Wang 009; Weitong Chen 001; Tong Chen 005 (WWW (Companion Volume), 2017)

TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. - Tong Chen 005; Hongzhi Yin; Hongxu Chen 002; Lin Wu 001; Hao Wang 005; Xiaofang Zhou 001; Xue Li 001 (ICDM, 2018)

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. - Hongxu Chen 002; Hongzhi Yin; Weiqing Wang 001; Hao Wang 005; Quoc Viet Hung Nguyen; Xue Li 001 (KDD, 2018)

Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions. - Tong Chen 005; Hongxu Chen 002; Xue Li 001 (PAKDD (Workshops), 2018)

Semi-supervised Clustering with Deep Metric Learning. - Xiaocui Li; Hongzhi Yin; Ke Zhou 001; Hongxu Chen 002; Shazia Sadiq; Xiaofang Zhou 001 (DASFAA (3), 2019)

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. - Hongxu Chen 002; Hongzhi Yin; Tong Chen 005; Quoc Viet Hung Nguyen; Wen-Chih Peng; Xue Li 001 (ICDE, 2019)

AIR: Attentional Intention-Aware Recommender Systems. - Tong Chen 005; Hongzhi Yin; Hongxu Chen 002; Rui Yan 001; Quoc Viet Hung Nguyen; Xue Li 001 (ICDE, 2019)

Inferring Substitutable Products with Deep Network Embedding. - Shijie Zhang; Hongzhi Yin; Qinyong Wang; Tong Chen 005; Hongxu Chen 002; Quoc Viet Hung Nguyen (IJCAI, 2019)

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. - Yuandong Wang; Hongzhi Yin; Hongxu Chen 002; Tianyu Wo; Jie Xu 007; Kai Zheng 001 (KDD, 2019)

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. - Hongxu Chen 002; Hongzhi Yin; Xiangguo Sun; Tong Chen 005; Bogdan Gabrys; Katarzyna Musial (KDD, 2020)

Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph. - Yadan Luo; Zi Huang; Hongxu Chen 002; Yang Yang 002; Mahsa Baktashmotlagh (CoRR, 2020)

Online sales prediction via trend alignment-based multitask recurrent neural networks. - Tong Chen 005; Hongzhi Yin; Hongxu Chen 002; Hao Wang 005; Xiaofang Zhou 001; Xue Li 001 (Knowl. Inf. Syst., 2020)

Graph representation learning with attribute information - Hongxu Chen 002 (2020)

Hyperbolic Hypergraphs for Sequential Recommendation. - Yicong Li 001; Hongxu Chen 002; Xiangguo Sun; Zhenchao Sun; Lin Li 001; Lizhen Cui; Philip S. Yu; Guandong Xu (CIKM, 2021)

Click-Through Rate Prediction with Multi-Modal Hypergraphs. - Li He; Hongxu Chen 002; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CIKM, 2021)

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. - Li He; Dingxian Wang; Hanzhang Wang; Hongxu Chen 002; Guandong Xu (CIKM, 2021)

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. - Haoran Yang; Hongxu Chen 002; Lin Li 001; Philip S. Yu; Guandong Xu (ICDM, 2021)

Where are we in embedding spaces? - Sixiao Zhang; Hongxu Chen 002; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (KDD, 2021)

Graph Data Mining in Recommender Systems. - Hongxu Chen 002; Yicong Li 001; Haoran Yang (WISE (2), 2021)

Temporal Meta-path Guided Explainable Recommendation. - Hongxu Chen 002; Yicong Li 001; Xiangguo Sun; Guandong Xu; Hongzhi Yin (WSDM, 2021)

Heterogeneous Hypergraph Embedding for Graph Classification. - Xiangguo Sun; Hongzhi Yin; Bo Liu 004; Hongxu Chen 002; Jiuxin Cao; Yingxia Shao; Nguyen Quoc Viet Hung (WSDM, 2021)

Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. - Xiangguo Sun; Hongzhi Yin; Bo Liu 004; Hongxu Chen 002; Qing Meng; Wang Han; Jiuxin Cao (WWW, 2021)

Hyperbolic Neural Collaborative Recommender. - Anchen Li; Bo Yang 002; Hongxu Chen 002; Guandong Xu (CoRR, 2021)

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. - Sixiao Zhang; Hongxu Chen 002; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (CoRR, 2021)

Hyperbolic node embedding for signed networks. - Wenzhuo Song; Hongxu Chen 002; Xueyan Liu 001; Hongzhe Jiang; Shengsheng Wang 001 (Neurocomputing, 2021)

Disease Prediction via Graph Neural Networks. - Zhenchao Sun; Hongzhi Yin; Hongxu Chen 002; Tong Chen 005; Lizhen Cui; Fan Yang 068 (IEEE J. Biomed. Health Informatics, 2021)

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. - Guanhua Ye; Hongzhi Yin; Tong Chen 005; Hongxu Chen 002; Lizhen Cui; Xiangliang Zhang 001 (IEEE J. Biomed. Health Informatics, 2021)

A Scalable Redefined Stochastic Blockmodel. - Xueyan Liu 001; Bo Yang 002; Hechang Chen; Katarzyna Musial; Hongxu Chen 002; Yang Li 030; Wanli Zuo (ACM Trans. Knowl. Discov. Data, 2021)

A block-based generative model for attributed network embedding. - Xueyan Liu 001; Bo Yang 002; Wenzhuo Song; Katarzyna Musial; Wanli Zuo; Hongxu Chen 002; Hongzhi Yin (World Wide Web, 2021)

Explaining similarity for SPARQL queries. - Meng Wang 009; Kefei Chen; Gang Xiao; Xinyue Zhang; Hongxu Chen 002; Sen Wang 001 (World Wide Web, 2021)

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. - Kangzheng Liu; Feng Zhao 003; Hongxu Chen 002; Yicong Li 001; Guandong Xu; Hai Jin 001 (CIKM, 2022)

DialMed: A Dataset for Dialogue-based Medication Recommendation. - Zhenfeng He; Yuqiang Han; Zhenqiu Ouyang; Wei Gao 001; Hongxu Chen 002; Guandong Xu; Jian Wu 001 (COLING, 2022)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Zhichao Wang 001; Hongxu Chen 002; Guandong Xu (SIGIR, 2022)

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. - Chengkun Zhang; Hongxu Chen 002; Sixiao Zhang; Guandong Xu; Junbin Gao (WSDM, 2022)

Towards Unsupervised Deep Graph Structure Learning. - Yixin Liu 001; Yu Zheng 013; Daokun Zhang; Hongxu Chen 002; Hao Peng 001; Shirui Pan (WWW, 2022)

Dual Space Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Shirui Pan; Lin Li 001; Philip S. Yu; Guandong Xu (WWW, 2022)

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. - Sixiao Zhang; Hongxu Chen 002; Xiangguo Sun; Yicong Li 001; Guandong Xu (WWW, 2022)

Graph Masked Autoencoder. - Hongxu Chen 002; Sixiao Zhang; Guandong Xu (CoRR, 2022)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Guandong Xu (CoRR, 2022)

Federated Graph Contrastive Learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (CoRR, 2022)

Social Boosted Recommendation With Folded Bipartite Network Embedding. - Hongxu Chen 002; Hongzhi Yin; Tong Chen 005; Weiqing Wang 001; Xue Li 001; Xia Hu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Reinforced KGs reasoning for explainable sequential recommendation. - Zhihong Cui; Hongxu Chen 002; Lizhen Cui; Shijun Liu; Xueyan Liu 001; Guandong Xu; Hongzhi Yin (World Wide Web, 2022)

Online Spam Review Detection: A Survey of Literature. - Li He; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu (Hum. Centric Intell. Syst., 2022)

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. - Haoran Yang; Xiangyu Zhao 001; Yicong Li 001; Hongxu Chen 002; Guandong Xu (NeurIPS, 2023)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Xiangyu Zhao 001; Guandong Xu (WWW, 2023)

Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. - Yadan Luo; Zi Huang; Hongxu Chen 002; Yang Yang 002; Hongzhi Yin; Mahsa Baktashmotlagh (IEEE Trans. Knowl. Data Eng., 2023)

Hyperbolic Neural Collaborative Recommender. - Anchen Li; Bo Yang 002; Huan Huo; Hongxu Chen 002; Guandong Xu; Zhen Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection. - Xiangguo Sun; Hongzhi Yin; Bo Liu 004; Qing Meng; Jiuxin Cao; Alexander Zhou 001; Hongxu Chen 002 (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Aware Deep Fusion Networks for Online Spam Review Detection. - Li He; Guandong Xu; Shoaib Jameel; Xianzhi Wang 001; Hongxu Chen 002 (IEEE Trans. Comput. Soc. Syst., 2023)

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. - Haoran Yang; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (Inf. Sci., 2023)

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. - Yicong Li 001; Hongxu Chen 002; Yile Li; Lin Li 001; Philip S. Yu; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Watermarking Recommender Systems. - Sixiao Zhang; Cheng Long 001; Wei Yuan 003; Hongxu Chen 002; Hongzhi Yin (CIKM, 2024)

Defense Against Model Extraction Attacks on Recommender Systems. - Sixiao Zhang; Hongzhi Yin; Hongxu Chen 002; Cheng Long 001 (WSDM, 2024)

Data Watermarking for Sequential Recommender Systems. - Sixiao Zhang; Cheng Long 001; Wei Yuan 003; Hongxu Chen 002; Hongzhi Yin (CoRR, 2024)

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. - Zhihong Cui; Xiangguo Sun; Hongxu Chen 002; Li Pan 001; Lizhen Cui; Shijun Liu; Guandong Xu (IEEE Trans. Comput. Soc. Syst., 2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. - Yicong Li 001; Xiangguo Sun; Hongxu Chen 002; Sixiao Zhang; Yu Yang 012; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Level Graph Knowledge Contrastive Learning. - Haoran Yang; Yuhao Wang 006; Xiangyu Zhao 001; Hongxu Chen 002; Hongzhi Yin; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

IterIS: Iterative Inference-Solving Alignment for LoRA Merging. - Hongxu Chen 002; Zhen Wang 004; Runshi Li; Bowei Zhu; Long Chen 016 (CVPR, 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. - Zihao Li 005; Chao Yang 024; Yakun Chen; Xianzhi Wang 001; Hongxu Chen 002; Guandong Xu; Lina Yao 001; Michael Sheng 001 (ACM Comput. Surv., 2025)

On Mitigating Data Sparsity in Conversational Recommender Systems. - Sixiao Zhang; Mingrui Liu; Cheng Long 001; Wei Yuan 003; Hongxu Chen 002; Xiangyu Zhao 001; Hongzhi Yin (CoRR, 2025)