| Graph Neural Networks: Foundations, Frontiers, and Applications L Wu, P Cui, J Pei, L Zhao Singapore: Springer, 2021 | 764* | 2021 |
| 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 307 | 2014 |
| FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Z Chai, Y Chen, A Anwar, L Zhao, Y Cheng, H Rangwala The International Conference for High Performance Computing, Networking …, 2021 | 244* | 2021 |
| Misinformation Propagation in the Age of Twitter F Jin, W Wang, L Zhao, E Dougherty, Y Cao, CT Lu, N Ramakrishnan Computer 47 (12), 90--94, 2014 | 227 | 2014 |
| Multi-task learning for spatio-temporal event forecasting L Zhao, Q Sun, J Ye, F Chen, CT Lu, N Ramakrishnan Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 190 | 2015 |
| A Systematic Survey on Deep Generative Models for Graph Generation X Guo, L Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 175 | 2022 |
| Event Prediction in the Big Data Era: A Systematic Survey L Zhao ACM Computing Surveys, 2021 | 172 | 2021 |
| Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey C LING, X ZHAO, J LU, C DENG, CAN ZHENG, J WANG, ... arXiv preprint arXiv:2305.18703, 2023 | 139* | 2023 |
| Deep Graph Representation Learning and Optimization for Influence Maximization C Ling, J Jiang, J Wang, M Thai, L Xue, J Song, M Qiu, L Zhao International Conference on Machine Learning (ICML 2023), 2023 | 130 | 2023 |
| Taking the pulse of COVID-19: A spatiotemporal perspective C Yang, D Sha, Q Liu, Y Li, H Lan, WW Guan, T Hu, Z Li, Z Zhang, ... International journal of digital earth 13 (10), 1186-1211, 2020 | 125 | 2020 |
| Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework Y Ye, Y Zhang, Y Fan, C Shi, L Zhao The 28th ACM International Conference on Information and Knowledge …, 2019 | 110* | 2019 |
| Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design H Mohammadi Makrani, F Farahmand, H Sayadi, S Bondi, ... The 28th International Conference on Field Programmable Logic and …, 2019 | 101 | 2019 |
| Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling L Zhao, F Chen, J Dai, T Hua, CT Lu, N Ramakrishnan PloS one 9 (10), e110206, 2014 | 99 | 2014 |
| Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic A Alipour-Fanid, M Dabaghchian, N Wang, P Wang, L Zhao, K Zeng IEEE Transactions on Information Forensics and Security, 2020 | 95 | 2020 |
| STED: semi-supervised targeted-interest event detection in Twitter T Hua, F Chen, L Zhao, CT Lu, N Ramakrishnan Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 93 | 2013 |
| SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning L Zhao, J Chen, F Chen, W Wang, CT Lu, N Ramakrishnan IEEE International Conference on Data Mining (ICDM), 639-648, 2015 | 92 | 2015 |
| Spatiotemporal Event Forecasting in Social Media L Zhao, F Chen, CT Lu, N Ramakrishnan SIAM international conference on Data Mining (SDM 2015), 963--971, 2015 | 85 | 2015 |
| A topic-focused trust model for Twitter L Zhao, T Hua, CT Lu, R Chen Computer Communications 76, 1-11, 2016 | 83 | 2016 |
| ADMM for Efficient Deep Learning with Global Convergence J Wang, F Yu, X Chen, L Zhao in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and …, 2019 | 77 | 2019 |
| Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... ACM Computing Surveys 56 (5), 1-42, 2023 | 75* | 2023 |
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechVerified email at vt.edu
