Situation-Based Interpretable Learning for Personality Prediction in Social Media. - Lei Zhang 158; Liang Zhao 002; Xuchao Zhang; Wenmo Kong; Zitong Sheng; Chang-Tien Lu (IEEE BigData, 2018)

Social Media based Simulation Models for Understanding Disease Dynamics. - Ting Hua; Chandan K. Reddy; Lei Zhang 158; Lijing Wang 001; Liang Zhao 002; Chang-Tien Lu; Naren Ramakrishnan (IJCAI, 2018)

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Chang-Tien Lu (CoRR, 2020)

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. - Abdulaziz Alhamadani; Shailik Sarkar; Lei Zhang 158; Lulwah Alkulaib; Chang-Tien Lu (IEEE BigData, 2021)

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu C. Aggarwal; Chang-Tien Lu (CoRR, 2021)

Deep Graph Learning for Circuit Deobfuscation. - Zhiqian Chen; Lei Zhang 158; Gaurav Kolhe; Hadi Mardani Kamali; Setareh Rafatirad; Sai Manoj Pudukotai Dinakarrao; Houman Homayoun; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 2021)

From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (AAAI, 2022)

Twitter Bot Identification: An Anomaly Detection Approach. - Lulwah Alkulaib; Lei Zhang 158; Yanshen Sun; Chang-Tien Lu (IEEE Big Data, 2022)

HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. - Charles Duong; Lei Zhang 158; Chang-Tien Lu (IEEE Big Data, 2022)

Granger Causal Inference for Interpretable Traffic Prediction. - Lei Zhang 158; Kaiqun Fu; Taoran Ji; Chang-Tien Lu (ITSC, 2022)

Infinitely Deep Graph Transformation Networks. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (ICDM, 2023)

Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (Frontiers Big Data, 2023)

Unifying Spectral and Spatial Graph Neural Networks. - Zhiqian Chen; Lei Zhang 158; Liang Zhao 002 (CIKM, 2024)

Network Interdiction Goes Neural. - Lei Zhang 158; Zhiqian Chen; Chang-Tien Lu; Liang Zhao 002 (CoRR, 2024)

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. - Zhiqian Chen; Fanglan Chen; Lei Zhang 158; Taoran Ji; Kaiqun Fu; Liang Zhao 002; Feng Chen 001; Lingfei Wu 001; Charu Aggarwal 001; Chang-Tien Lu (ACM Comput. Surv., 2024)

Implicit graph neural network for deep graph transformation. - Lei Zhang 158; Qisheng Zhang; Zhiqian Chen; Yanshen Sun; Chang-Tien Lu; Liang Zhao 002 (Knowl. Inf. Syst., 2025)