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2020 – today
- 2024
[j8]Xiaofeng Liu
, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng:
Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12027-12041 (2024)- 2023
- [c21]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI 2023: 14400-14407 - [i11]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR abs/2301.03412 (2023) - 2022
- [j7]Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates:
Node copying: A random graph model for effective graph sampling. Signal Process. 192: 108335 (2022) - [c20]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. NeurIPS 2022 - [c19]Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Chen Yongwei:
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates. NeurIPS 2022 - [i10]Junlong Lyu, Zhitang Chen, Chang Feng, Wenjing Cun, Shengyu Zhu, Yanhui Geng, Zhijie Xu, Yongwei Chen:
Universality of parametric Coupling Flows over parametric diffeomorphisms. CoRR abs/2202.02906 (2022) - [i9]Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates:
Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR abs/2208.02435 (2022) - [i8]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. CoRR abs/2210.06692 (2022) - 2021
- [i7]Yinchuan Li, Xiaofeng Liu, Yunfeng Shao, Qing Wang, Yanhui Geng:
Structured Directional Pruning via Perturbation Orthogonal Projection. CoRR abs/2107.05328 (2021) - [i6]Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng:
Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR abs/2107.05330 (2021) - 2020
- [i5]Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng:
Clustering Causal Additive Noise Models. CoRR abs/2006.04877 (2020)
2010 – 2019
- 2019
- [j6]Shoubo Hu, Bogdan Cautis, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He:
Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. 33(2): 499-525 (2019) - [j5]George Trimponias, Yan Xiao, Xiaorui Wu, Hong Xu, Yanhui Geng:
Node-Constrained Traffic Engineering: Theory and Applications. IEEE/ACM Trans. Netw. 27(4): 1344-1358 (2019) - [j4]Jiaqi Zheng, Hong Xu, Xiaojun Zhu, Guihai Chen, Yanhui Geng:
Sentinel: Failure Recovery in Centralized Traffic Engineering. IEEE/ACM Trans. Netw. 27(5): 1859-1872 (2019) - [j3]Peng Wang, George Trimponias, Hong Xu, Yanhui Geng:
Luopan: Sampling-Based Load Balancing in Data Center Networks. IEEE Trans. Parallel Distributed Syst. 30(1): 133-145 (2019) - [i4]George Trimponias, Yan Xiao, Xiaorui Wu, Hong Xu, Yanhui Geng:
Node-Constrained Traffic Engineering: Theory and Applications. CoRR abs/1907.03058 (2019) - 2018
- [j2]Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu:
Learning-Based Joint Configuration for Cellular Networks. IEEE Internet Things J. 5(6): 4283-4295 (2018) - [c18]Zhuoshu Li, Zhitang Chen, Pascal Poupart, Sanmay Das, Yanhui Geng:
Faster Policy Adaptation in Environments with Exogeneity: A State Augmentation Approach. AAMAS 2018: 1035-1043 - [c17]Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng:
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. NeurIPS 2018: 5212-5222 - [i3]Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng:
Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR abs/1809.08568 (2018) - 2017
- [c16]Zhitang Chen, Ke He, Jian Li, Yanhui Geng:
Seq2Img: A sequence-to-image based approach towards IP traffic classification using convolutional neural networks. IEEE BigData 2017: 1271-1276 - [c15]Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, Xin Liu:
Cellular network configuration via online learning and joint optimization. IEEE BigData 2017: 1295-1300 - [i2]George Trimponias, Yan Xiao, Hong Xu, Xiaorui Wu, Yanhui Geng:
On Traffic Engineering with Segment Routing in SDN based WANs. CoRR abs/1703.05907 (2017) - 2016
- [j1]Yang Peng, Kai Chen, Guohui Wang, Wei Bai, Yangming Zhao, Hao Wang, Yanhui Geng, Zhiqiang Ma, Lin Gu:
Towards Comprehensive Traffic Forecasting in Cloud Computing: Design and Application. IEEE/ACM Trans. Netw. 24(4): 2210-2222 (2016) - [c14]Zhitang Chen, Pascal Poupart, Yanhui Geng:
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings. AISTATS 2016: 573-581 - [c13]Zhitang Chen, Jiayao Wen, Yanhui Geng:
Predicting future traffic using Hidden Markov Models. ICNP 2016: 1-6 - [c12]Pascal Poupart, Zhitang Chen, Priyank Jaini, Fred Fung, Hengky Susanto, Yanhui Geng, Li Chen, Kai Chen, Hao Jin:
Online flow size prediction for improved network routing. ICNP 2016: 1-6 - [c11]Peng Wang, George Trimponias, Hong Xu, Hongyuan Liu, Yanhui Geng:
Luopan: Sampling based load balancing in data center networks. ICNP 2016: 1-2 - [c10]Jiaqi Zheng, Hong Xu, Xiaojun Zhu, Guihai Chen, Yanhui Geng:
We've got you covered: Failure recovery with backup tunnels in traffic engineering. ICNP 2016: 1-10 - [c9]Hong Zhang, Li Chen, Bairen Yi, Kai Chen, Mosharaf Chowdhury, Yanhui Geng:
CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark. SIGCOMM 2016: 160-173 - 2015
- [c8]Hao Wang, Li Chen, Kai Chen, Ziyang Li, Yiming Zhang, Haibing Guan, Zhengwei Qi, Dongsheng Li, Yanhui Geng:
FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. ICDCS 2015: 349-358 - [c7]Yangming Zhao, Kai Chen, Wei Bai, Minlan Yu, Chen Tian, Yanhui Geng, Yiming Zhang, Dan Li, Sheng Wang:
Rapier: Integrating routing and scheduling for coflow-aware data center networks. INFOCOM 2015: 424-432 - 2014
- [c6]Shrikanth S. Narayanan, Ayush Jaiswal, Yao-Yi Chiang, Yanhui Geng, Craig A. Knoblock, Pedro A. Szekely:
Integration and Automation of Data Preparation and Data Mining. ICDM Workshops 2014: 1076-1085 - [i1]Albert Y. S. Lam, Yanhui Geng, Victor O. K. Li:
Information-Theoretic Bounds for Performance of Resource-Constrained Communication Systems. CoRR abs/1404.0142 (2014) - 2010
- [c5]Yanhui Geng, Albert Y. S. Lam, Victor O. K. Li:
Performance Bounds of Opportunistic Scheduling in Wireless Networks. GLOBECOM 2010: 1-5 - [c4]Yanhui Geng, Victor O. K. Li:
A Framework to Analyze Network Performance Based on Information Quality. ICC 2010: 1-5 - [c3]Yanhui Geng, Victor O. K. Li:
Mathematical Impact of Information Accuracy on Network Performance. ICC 2010: 1-5 - [c2]Yanhui Geng, Albert Y. S. Lam, Victor O. K. Li:
An information-theoretic model for resource-constrained systems. SMC 2010: 4282-4287
2000 – 2009
- 2004
- [c1]Yuzhong Chen, Bingqing Yang, Rong Ren, Yanhui Geng, Nenghai Yu:
Traffic engineering with constraint-based routing in DiffServ/MPLS network. LANMAN 2004: 125-128
Coauthor Index
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