Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Space. - Taotao Cai; Rong-Hua Li; Jeffrey Xu Yu; Rui Mao 001; Yadi Cai (APWeb, 2015)

Efficient distance-based representative skyline computation in 2D space. - Rui Mao 001; Taotao Cai; Rong-Hua Li; Jeffrey Xu Yu; Jianxin Li 001 (World Wide Web, 2017)

Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks. - Jianxin Li 001; Taotao Cai; Ajmal Mian; Rong-Hua Li; Timos Sellis; Jeffrey Xu Yu (ICDE, 2018)

Correlate Influential News Article Events to Stock Quote Movement. - Arun Chaitanya Mandalapu; Saranya Gunabalan; Avinash Sadineni; Taotao Cai; Nur Al Hasan Haldar; Jianxin Li 001 (ADMA, 2019)

Anchored Vertex Exploration for Community Engagement in Social Networks. - Taotao Cai; Jianxin Li 001; Nur Al Hasan Haldar; Ajmal Mian; John Yearwood; Timos Sellis (ICDE, 2020)

Top-k Socio-Spatial Co-engaged Location Selection for Social Users. - Nur Al Hasan Haldar; Jianxin Li 001; Mohammed Eunus Ali; Taotao Cai; Timos Sellis; Mark Reynolds 001 (CoRR, 2020)

Community-diversified influence maximization in social networks. - Jianxin Li 001; Taotao Cai; Ke Deng; Xinjue Wang; Timos Sellis; Feng Xia 001 (Inf. Syst., 2020)

Anchor Vertex Selection for Enhanced Reliability of Traffic Offloading Service in Edge-Enabled Mobile P2P Social Networks. - Hengda Zhang; Xiaofei Wang 001; Hao Fan; Taotao Cai; Jianxin Li 001; Xiuhua Li; Victor C. M. Leung (J. Commun. Inf. Networks, 2020)

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. - Taotao Cai; Qi Lei; Quan Z. Sheng; Shuiqiao Yang; Jian Yang 001; Wei Emma Zhang (CoRR, 2022)

A survey on deep learning based knowledge tracing. - Xiangyu Song; Jianxin Li 001; Taotao Cai; Shuiqiao Yang; Tingting Yang; Chengfei Liu (Knowl. Based Syst., 2022)

Robust cross-network node classification via constrained graph mutual information. - Shuiqiao Yang; Borui Cai; Taotao Cai; Xiangyu Song; Jiaojiao Jiang; Bing Li 002; Jianxin Li 001 (Knowl. Based Syst., 2022)

Target-Aware Holistic Influence Maximization in Spatial Social Networks. - Taotao Cai; Jianxin Li 001; Ajmal Mian; Rong-Hua Li; Timos Sellis; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2022)

YOLO-SA: An Efficient Object Detection Model Based on Self-attention Mechanism. - Ang Li; Xiangyu Song; Shijie Sun 001; Zhaoyang Zhang 001; Taotao Cai; Huansheng Song (APWeb/WAIM (4), 2023)

ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection. - Huansheng Song; Ya Wen; Xiangyu Song; Shijie Sun 001; Taotao Cai; Jianxin Li 001 (APWeb/WAIM (4), 2023)

Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction. - Junhua Gu; Zhihao Jia; Taotao Cai; Xiangyu Song; Adnan Mahmood (Sensors, 2023)

Top-k Socio-Spatial Co-Engaged Location Selection for Social Users. - Nur Al Hasan Haldar; Jianxin Li 001; Mohammed Eunus Ali; Taotao Cai; Yunliang Chen 002; Timos Sellis; Mark Reynolds 001 (IEEE Trans. Knowl. Data Eng., 2023)

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. - Taotao Cai; Shuiqiao Yang; Jianxin Li 001; Quan Z. Sheng; Jian Yang 001; Xin Wang 030; Wei Emma Zhang; Longxiang Gao (IEEE Trans. Knowl. Data Eng., 2023)

Towards Multi-User, Secure, and Verifiable $k$NN Query in Cloud Database. - Ningning Cui; Kang Qian; Taotao Cai; Jianxin Li 001; Xiaochun Yang 001; Jie Cui 004; Hong Zhong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). - Taotao Cai; Shuiqiao Yang; Jianxin Li 001; Quan Z. Sheng; Jian Yang 001; Xin Wang 030; Wei Emma Zhang; Longxiang Gao (ICDE, 2024)

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Haoran Xie 001; Jianming Yong (CoRR, 2024)

MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images. - Penghui Niu; Junhua Gu; Yajuan Zhang; Ping Zhang 025; Taotao Cai; Wenjia Xu; Jungong Han (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. - Simi Job; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Taotao Cai; Jianming Yong; Qing Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. - Taotao Cai; Qi Lei; Quan Z. Sheng; Ningning Cui; Shuiqiao Yang; Jian Yang 001; Wei Emma Zhang; Adnan Mahmood (IEEE Trans. Knowl. Data Eng., 2024)

Special issue on link prediction in complex networks. - Michael Sheng 001; Taotao Cai; Adnan Mahmood (Computing, 2024)

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Taotao Cai; Xiaofeng Zhu 001; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Haoran Xie 001; Cai Xu; Jianming Yong (Knowl. Based Syst., 2025)

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey. - Wencheng Yang; Song Wang 003; Di Wu 050; Taotao Cai; Yanming Zhu 001; Shicheng Wei; Yiying Zhang 001; Xu Yang 002; Yan Li 002 (CoRR, 2025)

A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities. - Shuang Wang 012; He Zhang; Quan Z. Sheng; Xiaoping Li 001; Zhu Sun 001; Taotao Cai; Wei Emma Zhang; Jian Yang 001; Qing Gao 001 (IEEE Trans. Big Data, 2025)

Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Quan Z. Sheng; Haoran Xie 001; Jianming Yong (World Wide Web (WWW), 2025)

Efficient Influential Nodes Tracking via Link Prediction in Evolving Networks. - Kexin Zhang; Taotao Cai; Zhaoyu Liu; Shuang Teng; Yi Wang 032; Yu Chen; Ji Zhang (IEEE Internet Things J., 2025)

Exploring Causal Learning Through Graph Neural Networks: An In-Depth Review. - Simi Job; Xiaohui Tao 001; Taotao Cai; Haoran Xie 001; Lin Li 001; Qing Li 001; Jianming Yong (WIREs Data. Mining. Knowl. Discov., 2025)

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks. - Kunhao Li; Di Wu 050; Jun Bai; Jing Xu; Lei Yang; Ziyi Zhang; Yiliao Song; Wencheng Yang; Taotao Cai; Yan Li 002 (CoRR, 2025)

Deep learning model inversion attacks and defenses: a comprehensive survey. - Wencheng Yang; Song Wang 003; Di Wu 050; Taotao Cai; Yanming Zhu 001; Shicheng Wei; Yi-Ying Zhang 001; Xu Yang 002; Zhaohui Tang; Yan Li 002 (Artif. Intell. Rev., 2025)