Lei Zhang

According to our database, Lei Zhang authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu

ACM Comput. Surv., May, 2024

Network Interdiction Goes Neural.

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

CoRR, 2024

Unifying Spectral and Spatial Graph Neural Networks.

Zhiqian Chen, Lei Zhang, Liang Zhao

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

Frontiers Big Data, January, 2023

Infinitely Deep Graph Transformation Networks.

Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Granger Causal Inference for Interpretable Traffic Prediction.

Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

HateNet: A Graph Convolutional Network Approach to Hate Speech Detection.

Charles Duong, Lei Zhang, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

Twitter Bot Identification: An Anomaly Detection Approach.

Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).

Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep Graph Learning for Circuit Deobfuscation.

Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao

Frontiers Big Data, 2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu

CoRR, 2021

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.

Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu

CoRR, 2020

2018

Social Media based Simulation Models for Understanding Disease Dynamics.

Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Situation-Based Interpretable Learning for Personality Prediction in Social Media.

Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018