A predictive machine learning approach for microstructure optimization and materials design R Liu, A Kumar, Z Chen, A Agrawal, V Sundararaghavan, A Choudhary Scientific reports 5 (1), 11551, 2015 | 374 | 2015 |
Nodoze: Combatting threat alert fatigue with automated provenance triage WU Hassan, S Guo, D Li, Z Chen, K Jee, Z Li, A Bates network and distributed systems security symposium, 2019 | 289 | 2019 |
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ... NDSS, 2020 | 190 | 2020 |
Community-based anomaly detection in evolutionary networks Z Chen, W Hendrix, NF Samatova Journal of Intelligent Information Systems 39 (1), 59-85, 2012 | 143 | 2012 |
Entity embedding-based anomaly detection for heterogeneous categorical events T Chen, LA Tang, Y Sun, Z Chen, K Zhang arXiv preprint arXiv:1608.07502, 2016 | 119 | 2016 |
Structural temporal graph neural networks for anomaly detection in dynamic graphs L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen Proceedings of the 30th ACM International Conference on Information …, 2021 | 107 | 2021 |
Data compression for the exascale computing era-survey SW Son, Z Chen, W Hendrix, A Agrawal, W Liao, A Choudhary Supercomputing frontiers and innovations 1 (2), 76-88, 2014 | 103 | 2014 |
Beyond one-model-fits-all: A survey of domain specialization for large language models C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703 1, 2023 | 97* | 2023 |
Heterogeneous graph matching networks S Wang, Z Chen, X Yu, D Li, J Ni, LA Tang, J Gui, Z Li, H Chen, PS Yu arXiv preprint arXiv:1910.08074, 2019 | 84 | 2019 |
NUMARCK: machine learning algorithm for resiliency and checkpointing Z Chen, SW Son, W Hendrix, A Agrawal, W Liao, A Choudhary SC'14: Proceedings of the International Conference for High Performance …, 2014 | 79 | 2014 |
Graph-based fusing of heterogeneous alerts K Yoshihira, LI Zhichun, Z Chen, H Chen, G Jiang, LA Tang US Patent 10,476,749, 2019 | 75 | 2019 |
Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations W Cheng, K Zhang, H Chen, G Jiang, Z Chen, W Wang Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 73 | 2016 |
A scalable hierarchical clustering algorithm using spark C Jin, R Liu, Z Chen, W Hendrix, A Agrawal, A Choudhary 2015 IEEE First International Conference on Big Data Computing Service and …, 2015 | 73 | 2015 |
Practical graph mining with R NF Samatova, W Hendrix, J Jenkins, K Padmanabhan, A Chakraborty CRC Press, 2013 | 72 | 2013 |
Convolutional transformer based dual discriminator generative adversarial networks for video anomaly detection X Feng, D Song, Y Chen, Z Chen, J Ni, H Chen Proceedings of the 29th ACM International Conference on Multimedia, 5546-5554, 2021 | 66 | 2021 |
Detecting and tracking community dynamics in evolutionary networks Z Chen, KA Wilson, Y Jin, W Hendrix, NF Samatova 2010 IEEE International Conference on Data Mining Workshops, 318-327, 2010 | 64 | 2010 |
Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 63 | 2021 |
Asymmetrical hierarchical networks with attentive interactions for interpretable review-based recommendation X Dong, J Ni, W Cheng, Z Chen, B Zong, D Song, Y Liu, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7667-7674, 2020 | 59 | 2020 |
Energy range of electron rolling pin distribution behind dipolarization front MJ Zhao, HS Fu, CM Liu, ZZ Chen, Y Xu, BL Giles, JL Burch Geophysical Research Letters 46 (5), 2390-2398, 2019 | 53 | 2019 |
Automated anomaly detection via curiosity-guided search and self-imitation learning Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2365-2377, 2021 | 52* | 2021 |