Heterogeneous Neural Attentive Factorization Machine for Rating Prediction. - Liang Chen 001; Yang Liu 245; Zibin Zheng; Philip S. Yu (CIKM, 2018)

A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks. - Fenfang Xie; Liang Chen 001; Yongjian Ye; Yang Liu 245; Zibin Zheng; Xiaola Lin (ICSOC, 2018)

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. - Liang Chen 001; Yang Liu 245; Xiangnan He 001; Lianli Gao; Zibin Zheng (IJCAI, 2019)

Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks. - Yang Liu 245; Jiaying Peng; Liang Chen 001; Zibin Zheng (ECAI, 2020)

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. - Yang Liu 245; Xianzhuo Xia; Liang Chen 001; Xiangnan He 001; Carl Yang 001; Zibin Zheng (SIGIR, 2020)

Fused GRU with semantic-temporal attention for video captioning. - Lianli Gao; Xuanhan Wang; Jingkuan Song; Yang Liu 245 (Neurocomputing, 2020)

Sequential Recommendation on Dynamic Heterogeneous Information Network. - Tao Xie; Yangjun Xu; Liang Chen 001; Yang Liu 245; Zibin Zheng (ICDE, 2021)

Understanding Structural Vulnerability in Graph Convolutional Networks. - Liang Chen 001; Jintang Li; Qibiao Peng; Yang Liu 245; Zibin Zheng; Carl Yang 001 (IJCAI, 2021)

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. - Yuanzhen Xie; Zijing Ou; Liang Chen 001; Yang Liu 245; Kun Xu; Carl Yang 001; Zibin Zheng (WSDM, 2021)

Phishing Scams Detection in Ethereum Transaction Network. - Liang Chen 001; Jiaying Peng; Yang Liu 245; Jintang Li; Fenfang Xie; Zibin Zheng (ACM Trans. Internet Techn., 2021)

Neighboring Backdoor Attacks on Graph Convolutional Network. - Liang Chen 001; Qibiao Peng; Jintang Li; Yang Liu 245; Jiawei Chen 007; Yong Li 008; Zibin Zheng (CoRR, 2022)

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. - Cuiyun Gao 001; Yaoxian Li; Shuhan Qi; Yang Liu 245; Xuan Wang 002; Zibin Zheng; Qing Liao 001 (CoRR, 2022)

Modelling High-Order Social Relations for Item Recommendation. - Yang Liu 245; Liang Chen 001; Xiangnan He 001; Jiaying Peng; Zibin Zheng; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). - Yang Liu 245; Liang Chen 001; Xiangnan He 001; Jiaying Peng; Zibin Zheng; Jie Tang 001 (ICDE, 2023)

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. - Zinan Zheng; Yang Liu 245; Jia Li 009; Jianhua Yao 001; Yu Rong 001 (KDD, 2024)

Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. - Haihong Zhao; Chenyi Zi; Yang Liu 245; Chen Zhang; Yan Zhou; Jia Li 009 (WWW, 2024)

Equivariant Graph Learning for High-density Crowd Trajectories Modeling. - Yang Liu 245; Zinan Zheng; Yu Rong 001; Jia Li 009 (Trans. Mach. Learn. Res., 2024)

Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction. - Zhangtao Cheng; Yang Liu 245; Ting Zhong; Kunpeng Zhang 001; Fan Zhou 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)