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2015 IEEE Conference on Computer Communications (INFOCOM), 424-432, 2015
238 2015 CODA: Toward automatically identifying and scheduling coflows in the dark H Zhang, L Chen, B Yi, K Chen, M Chowdhury, Y Geng
Proceedings of the 2016 ACM SIGCOMM Conference, 160-173, 2016
203 2016 Seq2img: A sequence-to-image based approach towards ip traffic classification using convolutional neural networks Z Chen, K He, J Li, Y Geng
2017 IEEE International conference on big data (big data), 1271-1276, 2017
181 2017 Online flow size prediction for improved network routing P Poupart, Z Chen, P Jaini, F Fung, H Susanto, Y Geng, L Chen, K Chen, ...
2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-6, 2016
134 2016 Predicting future traffic using hidden markov models Z Chen, J Wen, Y Geng
2016 IEEE 24th international conference on network protocols (ICNP), 1-6, 2016
88 2016 We've got you covered: Failure recovery with backup tunnels in traffic engineering J Zheng, H Xu, X Zhu, G Chen, Y Geng
2016 IEEE 24th International Conference on Network Protocols (ICNP), 1-10, 2016
52 2016 Luopan: Sampling-based load balancing in data center networks P Wang, G Trimponias, H Xu, Y Geng
IEEE Transactions on parallel and distributed systems 30 (1), 133-145, 2018
48 2018 Centrality-based middlepoint selection for traffic engineering with segment routing G Trimponias, Y Xiao, H Xu, X Wu, Y Geng
arXiv preprint arXiv:1703.05907, 2017
42 2017 Sentinel: Failure recovery in centralized traffic engineering J Zheng, H Xu, X Zhu, G Chen, Y Geng
IEEE/ACM Transactions on Networking 27 (5), 1859-1872, 2019
33 2019 Node-constrained traffic engineering: Theory and applications G Trimponias, Y Xiao, X Wu, H Xu, Y Geng
IEEE/ACM Transactions on Networking 27 (4), 1344-1358, 2019
30 2019 Causal inference and mechanism clustering of a mixture of additive noise models S Hu, Z Chen, V Partovi Nia, L Chan, Y Geng
Advances in neural information processing systems 31, 2018
29 2018 FLOWPROPHET: Generic and accurate traffic prediction for data-parallel cluster computing H Wang, L Chen, K Chen, Z Li, Y Zhang, H Guan, Z Qi, D Li, Y Geng
2015 IEEE 35th International Conference on Distributed Computing Systems …, 2015
24 2015 Model-based offline reinforcement learning with pessimism-modulated dynamics belief K Guo, S Yunfeng, Y Geng
Advances in Neural Information Processing Systems 35, 449-461, 2022
22 2022 Method and apparatus for detecting type of network data flow Z Chen, G Yanhui, P Poupart
US Patent 10,333,854, 2019
17 2019 Towards comprehensive traffic forecasting in cloud computing: Design and application Y Peng, K Chen, G Wang, W Bai, Y Zhao, H Wang, Y Geng, Z Ma, L Gu
IEEE/ACM Transactions on Networking 24 (4), 2210-2222, 2015
16 2015 Sparse personalized federated learning X Liu, Y Li, Q Wang, X Zhang, Y Shao, Y Geng
IEEE Transactions on Neural Networks and Learning Systems, 2023
11 2023 Model-free inference of diffusion networks using RKHS embeddings S Hu, B Cautis, Z Chen, L Chan, Y Geng, X He
Data Mining and Knowledge Discovery 33, 499-525, 2019
8 2019 Para-CFlows: -universal diffeomorphism approximators as superior neural surrogates J Lyu, Z Chen, C Feng, W Cun, S Zhu, Y Geng, Z Xu, C Yongwei
Advances in Neural Information Processing Systems 35, 28829-28841, 2022
7 2022 Node copying: A random graph model for effective graph sampling F Regol, S Pal, J Sun, Y Zhang, Y Geng, M Coates
Signal Processing 192, 108335, 2022
7 2022 Cellular network configuration via online learning and joint optimization X Guo, G Trimponias, X Wang, Z Chen, Y Geng, X Liu
2017 IEEE International Conference on Big Data (Big Data), 1295-1300, 2017
7 2017