Yanhui Geng
Yanhui Geng
Huawei Noah's Ark Lab
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Cited by
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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
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
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
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
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
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
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
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
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
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
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
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
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
Method and apparatus for detecting type of network data flow
Z Chen, G Yanhui, P Poupart
US Patent 10,333,854, 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
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
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
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
A framework to analyze network performance based on information quality
Y Geng, VOK Li
2010 IEEE International Conference on Communications, 1-5, 2010
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
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