| Rapier: Integrating routing and scheduling for coflow-aware data center networks Y Zhao, K Chen, W Bai, M Yu, C Tian, Y Geng, Y Zhang, D Li, S Wang 2015 IEEE Conference on Computer Communications (INFOCOM), 424-432, 2015 | 239 | 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 | 202 | 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 | 180 | 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 | 129 | 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 | 83 | 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 | 55 | 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 | 47 | 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 | 43 | 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 | 29 | 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 | 28 | 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 | 21 | 2022 |
| Method and apparatus for detecting type of network data flow Z Chen, G Yanhui, P Poupart US Patent 10,333,854, 2019 | 16 | 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 | 9 | 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 |
| 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 |
| 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 | 6 | 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 | 6 | 2022 |
Kai ChenProfessor, HKUSTVerified email at cse.ust.hk
