Tao Tang

According to our database, Tao Tang authored at least 27 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Missingness-aware Federated Contrastive Learning on Semantic Graphs.

Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding, Qiang Zhang

Proceedings of the ACM Web Conference 2026, 2026

Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation.

Tao Tang, Botao Liu, Ciyuan Peng, Ivan Lee, Xiangjie Kong

Proceedings of the ACM Web Conference 2026, 2026

FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation.

Tao Tang, Mujie Liu, Botao Liu, Wei Du, Liping Chen, Xinrui Cheng, Jiaxin Du, Xiangjie Kong

Proceedings of the ACM Web Conference 2026, 2026

FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.

Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia

Proceedings of the ACM Web Conference 2026, 2026

2025

CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems.

Shuo Yu, Yicong Li, Shuo Wang, Tao Tang, Qiang Zhang, Jingjing Zhou, Ivan Lee, Feng Xia

ACM Trans. Inf. Syst., November, 2025

A transformer-based approach for traffic prediction with fusion spatiotemporal attention.

Wenfeng Zhou, Guojiang Shen, Zhenzhen Zhao, Zhaolin Deng, Tao Tang, Xiangjie Kong, Amr Tolba, Osama Alfarraj

Knowl. Based Syst., 2025

Foundation Models for Anomaly Detection: Vision and Challenges.

Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia

AI Mag., 2025

Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs.

Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Mujie Liu, Tao Tang, Shuo Yu, Ivan Lee

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

2024

Fuzzy Multiview Graph Learning on Sparse Electronic Health Records.

Tao Tang, Zhuoyang Han, Shuo Yu, Adil M. Bagirov, Qiang Zhang

IEEE Trans. Fuzzy Syst., October, 2024

Personalized Federated Graph Learning on Non-IID Electronic Health Records.

Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Physics-Informed Explainable Continual Learning on Graphs.

Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems.

Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia

IEEE Internet Things J., March, 2024

MissII: Missing Information Imputation for Traffic Data.

Mingliang Hou, Tao Tang, Feng Xia, Ibrahim A. Sultan, Roopdeep Kaur, Xiangjie Kong

IEEE Trans. Emerg. Top. Comput., 2024

Algorithmic Fairness: A Tolerance Perspective.

Renqiang Luo, Tao Tang, Feng Xia, Jiaying Liu, Chengpei Xu, Leo Yu Zhang, Wei Xiang, Chengqi Zhang

CoRR, 2024

2023

CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs.

Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King

IEEE Trans. Knowl. Data Eng., May, 2023

Data-Efficient Graph Learning Meets Ethical Challenges.

Tao Tang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Collaborative Filtering With Network Representation Learning for Citation Recommendation.

Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu

IEEE Trans. Big Data, 2022

2021

Attributed Collaboration Network Embedding for Academic Relationship Mining.

Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King

ACM Trans. Web, 2021

Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions.

Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee

IEEE Trans. Comput. Soc. Syst., 2021

Web of Students: Class-Level Friendship Network Discovery from Educational Big Data.

Teng Guo, Tao Tang, Dongyu Zhang, Jianxin Li, Feng Xia

Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks.

Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

KIDNet: A Knowledge-Aware Neural Network Model for Academic Performance Prediction.

Tao Tang, Jie Hou, Teng Guo, Xiaomei Bai, Xue Tian, Azadeh Noori Hoshyar

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach.

Xin Chen, Mingliang Hou, Tao Tang, Achhardeep Kaur, Feng Xia

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2018

Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics.

Xiangjie Kong, Menglin Li, Tao Tang, Kaiqi Tian, Luís Moreira-Matias, Feng Xia

IEEE Trans Autom. Sci. Eng., 2018

Understanding the advisor-advisee relationship via scholarly data analysis.

Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia

Scientometrics, 2018

VISOS: A Visual Interactive System for Spatial-Temporal Exploring Station Importance Based on Subway Data.

Tao Tang, Xiangjie Kong, Menglin Li, Jinzhong Wang, Guojiang Shen, Xinshuang Wang

IEEE Access, 2018

A Survey of Scholarly Data Visualization.

Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia

IEEE Access, 2018