A general framework for estimating graphlet statistics via random walk X Chen, Y Li, P Wang, J Lui Proceedings of the VLDB Endowment 10 (3), 253-264, 2016 | 75 | 2016 |
Mining Graphlets in Online Social Networks X Chen, JCS Lui ACM Transactions on Knowledge Discovery from Data 12 (4), 2018 | 38* | 2018 |
Mining graphlet counts in online social networks X Chen, J Lui 2016 IEEE 16th International Conference on Data Mining (ICDM), 10, 2016 | 38 | 2016 |
A unified framework to estimate global and local graphlet counts for streaming graphs X Chen, JCS Lui Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 7 | 2017 |
Poster: Evolution of Ethereum: A temporal graph perspective Q Bai, C Zhang, Y Xu, X Chen, X Wang 2020 IFIP Networking Conference (Networking), 652-654, 2020 | 5 | 2020 |
Quantifying DNN model robustness to the real-world threats Z Zhong, Z Hu, X Chen 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020 | 3 | 2020 |
Community Exploration: From Offline Optimization to Online Learning X Chen, W Huang, W Chen, JCS Lui Advances in Neural Information Processing Systems, 5479-5488, 2018 | 3 | 2018 |
I/O efficient algorithms for exact distance queries on disk-resident dynamic graphs Y Lin, X Chen, JCS Lui Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 3 | 2015 |
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning X Liu, J Zuo, X Chen, W Chen, JCS Lui International Conference on Machine Learning, 7057-7066, 2021 | 1 | 2021 |
Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach S Jiao, Z Xue, X Chen, Y Xu arXiv preprint arXiv:2001.07136, 2020 | 1 | 2020 |
FIRM: DETECTING ADVERSARIAL AUDIOS BY RE-CURSIVE FILTERS WITH RANDOMIZATION G Tao, X Chen, Y Jia, Z Zhong, S Ma, X Zhang | | |
Quantifying Realistic Threats for Deep Learning Models Z Zhong, Z Hu, X Chen | | |