Cutting the Electricity Cost of Distributed Datacenters Through Smart Workload Dispatching. - Zehua Guo 001; Zhemin Duan; Yang Xu 010; H. Jonathan Chao (IEEE Commun. Lett., 2013)

Improving the performance of load balancing in software-defined networks through load variance-based synchronization. - Zehua Guo 001; Mu Su; Yang Xu 010; Zhemin Duan; Luo Wang; Shufeng Hui; H. Jonathan Chao (Comput. Networks, 2014)

JET: Electricity cost-aware dynamic workload management in geographically distributed datacenters. - Zehua Guo 001; Zhemin Duan; Yang Xu 010; H. Jonathan Chao (Comput. Commun., 2014)

JumpFlow: Reducing flow table usage in software-defined networks. - Zehua Guo 001; Yang Xu 010; Marco Cello; Junjie Zhang 001; Zicheng Wang; Mingjian Liu; H. Jonathan Chao (Comput. Networks, 2015)

Secure virtual network embedding to mitigate the risk of covert channel attacks. - Zhiming Wang; Jiangxing Wu 001; Zehua Guo 001; Guozhen Cheng; Hongchao Hu (INFOCOM Workshops, 2016)

Dynamic flow scheduling for Power-efficient Data Center Networks. - Zehua Guo 001; Shufeng Hui; Yang Xu 010; H. Jonathan Chao (IWQoS, 2016)

Incremental Switch Deployment for Hybrid Software-Defined Networks. - Xuya Jia; Yong Jiang 001; Zehua Guo 001 (LCN, 2016)

Reducing and Balancing Flow Table Entries in Software-Defined Networks. - Xuya Jia; Yong Jiang 001; Zehua Guo 001; Zhenwei Wu (LCN, 2016)

STAR: Preventing flow-table overflow in software-defined networks. - Zehua Guo 001; Ruoyan Liu; Yang Xu 010; Andrey Gushchin; Anwar Walid; H. Jonathan Chao (Comput. Networks, 2017)

A low overhead flow-holding algorithm in software-defined networks. - Xuya Jia; Qing Li 006; Yong Jiang 001; Zehua Guo 001; Jie Sun (Comput. Networks, 2017)

Adaptive Slave Controller Assignment for Fault-Tolerant Control Plane in Software-Defined Networking. - Tao Hu 002; Zehua Guo 001; Jianhui Zhang; Julong Lan (ICC, 2018)

Multi-controller Based Software-Defined Networking: A Survey. - Tao Hu 002; Zehua Guo 001; Peng Yi 003; Thar Baker; Julong Lan (IEEE Access, 2018)

Bidirectional Matching Strategy for Multi-Controller Deployment in Distributed Software Defined Networking. - Tao Hu 002; Peng Yi 003; Zehua Guo 001; Julong Lan; Jianhui Zhang (IEEE Access, 2018)

DROM: Optimizing the Routing in Software-Defined Networks With Deep Reinforcement Learning. - Changhe Yu; Julong Lan; Zehua Guo 001; Yuxiang Hu (IEEE Access, 2018)

Intelligent path control for energy-saving in hybrid SDN networks. - Xuya Jia; Yong Jiang 001; Zehua Guo 001; Gengbiao Shen; Lei Wang 071 (Comput. Networks, 2018)

Balancing flow table occupancy and link utilization in software-defined networks. - Zehua Guo 001; Yang Xu 010; Ruoyan Liu; Andrey Gushchin; Kuan-yin Chen; Anwar Walid; H. Jonathan Chao (Future Gener. Comput. Syst., 2018)

Thwarting Worm Spread in Heterogeneous Networks With Diverse Variant Placement. - Jianjian Ai; Zehua Guo 001; Hongchang Chen (IEEE Commun. Lett., 2018)

BWManager: Mitigating Denial of Service Attacks in Software-Defined Networks Through Bandwidth Prediction. - Tao Wang 018; Zehua Guo 001; Hongchang Chen; Wei Liu (IEEE Trans. Netw. Serv. Manag., 2018)

Improving Resiliency of Software-Defined Networks with Network Coding-based Multipath Routing. - Jianjian Ai; Hongchang Chen; Zehua Guo 001; Guozhen Cheng; Thar Baker (ISCC, 2019)

Data Loss Prevention and Storage Utilization Improvement of the Hidden Volume on Mobile Devices. - Wendi Feng; Chuanchang Liu; Zehua Guo 001; Thar Baker; Bo Cheng 001; Junliang Chen 001 (ISCC, 2019)

RetroFlow: maintaining control resiliency and flow programmability for software-defined WANs. - Zehua Guo 001; Wendi Feng; Sen Liu 002; Wenchao Jiang; Yang Xu 010; Zhi-Li Zhang (IWQoS, 2019)

Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN. - Gengbiao Shen; Qing Li 006; Yong Jiang 001; Richard O. Sinnott; Dong Lin; Zehua Guo 001; Yi Wang 004 (IWQoS, 2019)

SINET: Enabling Scalable Network Routing with Deep Reinforcement Learning on Partial Nodes. - Penghao Sun; Junfei Li; Zehua Guo 001; Yang Xu 010; Julong Lan; Yuxiang Hu (SIGCOMM Posters and Demos, 2019)

Securing the Intermediate Data of Scientific Workflows in Clouds With ACISO. - Yawen Wang; Yunfei Guo; Zehua Guo 001; Wenyan Liu 005; Chao Yang 012 (IEEE Access, 2019)

An Adaptive and Lightweight Update Mechanism for SDN. - Changhe Yu; Julong Lan; Zehua Guo 001; Yuxiang Hu; Thar Baker (IEEE Access, 2019)

Dynamic slave controller assignment for enhancing control plane robustness in software-defined networks. - Tao Hu 002; Peng Yi 003; Zehua Guo 001; Julong Lan; Yuxiang Hu (Future Gener. Comput. Syst., 2019)

Improving the Routing Security in Software-Defined Networks. - Jianjian Ai; Zehua Guo 001; Hongchang Chen; Guozhen Cheng (IEEE Commun. Lett., 2019)

Joint Switch Upgrade and Controller Deployment in Hybrid Software-Defined Networks. - Zehua Guo 001; Weikun Chen; Ya-Feng Liu; Yang Xu 010; Zhi-Li Zhang (IEEE J. Sel. Areas Commun., 2019)

RAPID: Avoiding TCP Incast Throughput Collapse in Public Clouds With Intelligent Packet Discarding. - Yang Xu 010; Shikhar Shukla; Zehua Guo 001; Sen Liu 002; Adrian Sai-Wah Tam; Kang Xi; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2019)

QOS-Aware Flow Control for Power-Efficient Data Center Networks with Deep Reinforcement Learning. - Penghao Sun; Zehua Guo 001; Sen Liu 002; Julong Lan; Yuxiang Hu (ICASSP, 2020)

Improving the Scalability of Deep Reinforcement Learning-Based Routing with Control on Partial Nodes. - Penghao Sun; Julong Lan; Zehua Guo 001; Yang Xu 010; Yuxiang Hu (ICASSP, 2020)

BAGUETTE: Towards a Secure and Cost-effective Switch Upgrade in Hybrid Software-Defined Networks. - Wendi Feng; Zehua Guo 001; Chuanchang Liu; Yueming Zheng; Meng Wang 018; Bo Cheng 001; Junliang Chen 001 (ICC, 2020)

DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning. - Penghao Sun; Julong Lan; Zehua Guo 001; Di Zhang 002; Xianfu Chen; Yuxiang Hu; Zhi Liu 002 (ICC, 2020)

Poster: Maintaining Training Efficiency and Accuracy for Edge-assisted Online Federated Learning with ABS. - Jiayu Wang; Zehua Guo 001; Sen Liu 002; Yuanqing Xia (ICNP, 2020)

DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling. - Penghao Sun; Zehua Guo 001; Junchao Wang; Junfei Li; Julong Lan; Yuxiang Hu (IJCAI, 2020)

Improving the Path Programmability for Software-Defined WANs under Multiple Controller Failures. - Zehua Guo 001; Songshi Dou; Wenchao Jiang (IWQoS, 2020)

SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering. - Junjie Zhang 001; Zehua Guo 001; Minghao Ye; H. Jonathan Chao (NetAI@SIGCOMM, 2020)

SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning. - Penghao Sun; Zehua Guo 001; Sen Liu 002; Julong Lan; Junchao Wang; Yuxiang Hu (Comput. Networks, 2020)

MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning. - Penghao Sun; Zehua Guo 001; Gang Wang 014; Julong Lan; Yuxiang Hu (Comput. Networks, 2020)

Efficient flow migration for NFV with Graph-aware deep reinforcement learning. - Penghao Sun; Julong Lan; Junfei Li; Zehua Guo 001; Yuxiang Hu; Tao Hu 002 (Comput. Networks, 2020)

A BBR-based congestion control for delay-sensitive real-time applications. - Sayed Najmuddin; Muhammad Asim 001; Kashif Munir; Thar Baker; Zehua Guo 001; Rajiv Ranjan 001 (Computing, 2020)

Mitigating malicious packets attack via vulnerability-aware heterogeneous network devices assignment. - Jianjian Ai; Hongchang Chen; Zehua Guo 001; Guozhen Cheng; Thar Baker (Future Gener. Comput. Syst., 2020)

MobiGyges: A mobile hidden volume for preventing data loss, improving storage utilization, and avoiding device reboot. - Wendi Feng; Chuanchang Liu; Zehua Guo 001; Thar Baker; Gang Wang 014; Meng Wang 018; Bo Cheng 001; Junliang Chen 001 (Future Gener. Comput. Syst., 2020)

Exploring the role of paths for dynamic switch assignment in software-defined networks. - Zehua Guo 001; Shaojun Zhang; Wendi Feng; Weichao Wu; Julong Lan (Future Gener. Comput. Syst., 2020)

CLOSURE: A cloud scientific workflow scheduling algorithm based on attack-defense game model. - Yawen Wang; Yunfei Guo; Zehua Guo 001; Thar Baker; Wenyan Liu 005 (Future Gener. Comput. Syst., 2020)

Protecting scientific workflows in clouds with an intrusion tolerant system. - Yawen Wang; Yunfei Guo; Zehua Guo 001; Wenyan Liu 005; Chao Yang 012 (IET Inf. Secur., 2020)

COMITMENT: A Fog Computing Trust Management Approach. - Mohammed Al-Khafajiy; Thar Baker; Muhammad Asim 001; Zehua Guo 001; Rajiv Ranjan 001; Antonella Longo; Deepak Puthal; Mark Taylor 005 (J. Parallel Distributed Comput., 2020)

CFR-RL: Traffic Engineering With Reinforcement Learning in SDN. - Junjie Zhang 001; Minghao Ye; Zehua Guo 001; Chen-Yu Yen; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2020)

Traffic Control for RDMA-Enabled Data Center Networks: A Survey. - Zehua Guo 001; Sen Liu 002; Zhi-Li Zhang (IEEE Syst. J., 2020)

Exploring the Impact of Attacks on Ring AllReduce. - Jiayu Wang; Peng Liu; Zehua Guo 001; Sen Liu 002; Chao Yao (APNet, 2021)

ProgrammabilityMedic: Predictable Path Programmability Recovery under Multiple Controller Failures in SD-WANs. - Songshi Dou; Zehua Guo 001; Yuanqing Xia (ICDCS, 2021)

Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks. - Yijun Sun; Zehua Guo 001; Songshi Dou; Junjie Zhang 001; Changlin Li; Xiang Ouyang (ICNP, 2021)

Federated Traffic Engineering with Supervised Learning in Multi-region Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (ICNP, 2021)

Optimizing Flow Completion Time via Adaptive Buffer Management in Data Center Networks. - Sen Liu 002; Xiang Lin; Zehua Guo 001; Yi Wang 004; Mohamed Adel Serhani; Yang Xu 010 (ICPP, 2021)

Video Quality and Popularity-aware Video Caching in Content Delivery Networks. - Yijun Sun; Zehua Guo 001; Songshi Dou; Yuanqing Xia (ICWS, 2021)

DATE: Disturbance-Aware Traffic Engineering with Reinforcement Learning in Software-Defined Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IWQoS, 2021)

Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures. - Songshi Dou; Guochun Miao; Zehua Guo 001; Chao Yao; Weiran Wu; Yuanqing Xia (Comput. Networks, 2021)

ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering in SDN with Pinning Control. - Penghao Sun; Zehua Guo 001; Julong Lan; Junfei Li; Yuxiang Hu; Thar Baker (Comput. Networks, 2021)

An adaptive defense mechanism to prevent advanced persistent threats. - Yi-xi Xie; Li-xin Ji; Ling-shu Li; Zehua Guo 001; Thar Baker (Connect. Sci., 2021)

Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement. - Penghao Sun; Julong Lan; Junfei Li; Zehua Guo 001; Yuxiang Hu (IEEE Commun. Lett., 2021)

A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control. - Penghao Sun; Julong Lan; Junfei Li; Jianpeng Zhang; Yuxiang Hu; Zehua Guo 001 (IEEE Commun. Lett., 2021)

Communication-efficient hierarchical distributed optimization for multi-agent policy evaluation. - Jineng Ren; Jarvis D. Haupt; Zehua Guo 001 (J. Comput. Sci., 2021)

Enabling Technologies for Energy Cloud. - Thar Baker; Zehua Guo 001; Ali Ismail Awad; Shangguang Wang; Benjamin C. M. Fung (J. Parallel Distributed Comput., 2021)

HybridFlow: Achieving Load Balancing in Software-Defined WANs With Scalable Routing. - Zehua Guo 001; Songshi Dou; Yi Wang 004; Sen Liu 002; Wendi Feng; Yang Xu 010 (IEEE Trans. Commun., 2021)

AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks. - Zehua Guo 001; Yang Xu 010; Ya-Feng Liu; Sen Liu 002; H. Jonathan Chao; Zhi-Li Zhang; Yuanqing Xia (IEEE/ACM Trans. Netw., 2021)

ERA: Meeting the Fairness between Sender-driven and Receiver-driven Transmission Protocols in Data Center Networks. - Sen Liu 002; Furong Liang; Wei Yan; Zehua Guo 001; Xiang Lin; Yang Xu 010 (ICDCS, 2022)

Low Control Latency SD-WANs for Metaverse. - Li Qi; Songshi Dou; Zehua Guo 001; Changlin Li; Yang Li; Tengteng Zhu (ICDCS Workshops, 2022)

ABS: Adaptive Buffer Sizing via Augmented Programmability with Machine Learning. - Jiaxin Tang; Sen Liu 002; Yang Xu 010; Zehua Guo 001; Junjie Zhang 001; Peixuan Gao; Yang Chen 001; Xin Wang 002; H. Jonathan Chao (INFOCOM, 2022)

SFP: Service Function Chain Provision on Programmable Switches for Cloud Tenants. - Hongyi Huang; Wenfei Wu; Yongchao He; Zehua Guo 001 (IPDPS, 2022)

TSBS: A Two-Stage Backpressure Scheduling scheme over multihop wireless networks. - Chenggang Shan; Yuanqing Xia; Zehua Guo 001; Guan Wang; Jinhui Zhang (Ad Hoc Networks, 2022)

Network Coding-based Resilient Routing for Maintaining Data Security and Availability in Software-Defined Networks. - Haoran Ni; Zehua Guo 001; Changlin Li; Songshi Dou; Chao Yao; Thar Baker (J. Netw. Comput. Appl., 2022)

Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-Based Routing With Reinforcement Learning. - Minghao Ye; Yang Hu; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2022)

A Brief Survey on Recent Advances in Cloud Control Systems. - Yuanqing Xia; Yuan Zhang 016; Li Dai 001; Yufeng Zhan; Zehua Guo 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

SDN-ESRC: A Secure and Resilient Control Plane for Software-Defined Networks. - Quan Ren; Zehua Guo 001; Jiangxing Wu 001; Tao Hu 002; Lu Jie 006; Yuxiang Hu; Lei He (IEEE Trans. Netw. Serv. Manag., 2022)

SDNShield: NFV-Based Defense Framework Against DDoS Attacks on SDN Control Plane. - Kuan-yin Chen; Sen Liu 002; Yang Xu 010; Ishant Kumar Siddhrau; Siyu Zhou; Zehua Guo 001; H. Jonathan Chao (IEEE/ACM Trans. Netw., 2022)

Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures. - Zehua Guo 001; Songshi Dou; Sen Liu 002; Wendi Feng; Wenchao Jiang; Yang Xu 010; Zhi-Li Zhang (IEEE/ACM Trans. Netw., 2022)

Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes. - Penghao Sun; Zehua Guo 001; Junfei Li; Yang Xu 010; Julong Lan; Yuxiang Hu (IEEE/ACM Trans. Netw., 2022)

Bringing Machine Learning to Software-Defined Networks - Zehua Guo 001 (Springer, 2022)

Maintaining QoS-aware and Resilient Path Programmability for Metaverse in SD-WANs. - Songshi Dou; Li Qi; Zehua Guo 001 (ACM TUR-C, 2023)

Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training. - Jiaxin Tan; Chao Yao; Zehua Guo 001 (APNet, 2023)

Roracle: Enabling Lookahead Routing for Scalable Traffic Engineering with Supervised Learning. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (ICNP, 2023)

LARRI: Learning-based Adaptive Range Routing for Highly Dynamic Traffic in WANs. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (INFOCOM, 2023)

RateSheriff: Multipath Flow-aware and Resource Efficient Rate Limiter Placement for Data Center Networks. - Songshi Dou; Yongchao He; Sen Liu 002; Wenfei Wu; Zehua Guo 001 (IWQoS, 2023)

Reinforcement Learning-based Traffic Engineering for QoS Provisioning and Load Balancing. - Minghao Ye; Yang Hu; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IWQoS, 2023)

Adaptive Resource Allocation for Workflow Containerization on Kubernetes. - Chenggang Shan; Chuge Wu; Yuanqing Xia; Zehua Guo 001; Danyang Liu; Jinhui Zhang (CoRR, 2023)

Analysis and Management of Network Function States. - Zehua Guo 001; Hao Wang; Yi Cai; Zhi-Li Zhang (IEEE Netw., 2023)

Congestion-Aware Critical Gradient Scheduling for Distributed Machine Learning in Data Center Networks. - Zehua Guo 001; Jiayu Wang; Sen Liu 002; Jineng Ren; Yang Xu 010; Chao Yao (IEEE Trans. Cloud Comput., 2023)

SMAF: a secure and makespan-aware framework for executing serverless workflows. - Shuai Zhang; Yunfei Guo; Zehua Guo 001; Hongchao Hu; Guozhen Chen (Sci. China Inf. Sci., 2023)

SpongeTraining: Achieving High Efficiency and Accuracy for Wireless Edge-Assisted Online Distributed Learning. - Zehua Guo 001; Jiayu Wang; Sen Liu 002; Jineng Ren; Yang Xu 010; Yi Wang 004 (IEEE Trans. Mob. Comput., 2023)

FlexDATE: Flexible and Disturbance-Aware Traffic Engineering With Reinforcement Learning in Software-Defined Networks. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE/ACM Trans. Netw., 2023)

A Collaborative Superpixelwise Autoencoder for Unsupervised Dimension Reduction in Hyperspectral Images. - Chao Yao; Lingfeng Zheng; Longchao Feng; Fan Yang 020; Zehua Guo 001; Miao Ma (Remote. Sens., 2023)

Toward Flexible and Predictable Path Programmability Recovery Under Multiple Controller Failures in Software-Defined WANs. - Zehua Guo 001; Songshi Dou; Wenfei Wu; Yuanqing Xia (IEEE/ACM Trans. Netw., 2023)

Exploring the Impact of Critical Programmability on Controller Placement for Software-Defined Wide Area Networks. - Songshi Dou; Li Qi; Chao Yao; Zehua Guo 001 (IEEE/ACM Trans. Netw., 2023)

Exploring the Impact of Traffic Scheduling on Network Soft Slicing. - Xiaoyang Fu; Zehua Guo 001 (APNet, 2024)

Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in Data Center Networks. - Sen Liu 002; Yongbo Gao; Zixuan Chen; Jiarui Ye; Haiyang Xu; Furong Liang; Wei Yan; Zerui Tian; Quanwei Sun; Zehua Guo 001; Yang Xu 010 (EuroSys, 2024)

An ML-Accelerated Framework for Large-Scale Constrained Traffic Engineering. - Cheng Gu; Xin Song; Ben Hok Ng; Qiao Xiang; Zehua Guo 001; Geng Li (ICDCS, 2024)

Hierarchical Sketch: An Efficient, Scalable and Latency-aware Content Caching Design for Content Delivery Networks. - Huifeng Xing; Yuyan Ding; Huiru Huang; Zixuan Chen; Sen Liu 002; Zehua Guo 001; Muath Al-Hasan; Mohamed Adel Serhani; Yang Xu 010 (IWQoS, 2024)

Toward Determined Service for Distributed Machine Learning. - Haowen Zhu; Minghao Ye; Zehua Guo 001 (IWQoS, 2024)

ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs. - Songshi Dou; Li Qi; Zehua Guo 001 (WWW, 2024)

Byzantine-robust Federated Learning via Cosine Similarity Aggregation. - Tengteng Zhu; Zehua Guo 001; Chao Yao; Jiaxin Tan; Songshi Dou; Wenrun Wang; Zhenzhen Han (Comput. Networks, 2024)

Mitigating the impact of controller failures on QoS robustness for software-defined wide area networks. - Songshi Dou; Li Qi; Zehua Guo 001 (Comput. Networks, 2024)

Toward Improved Path Programmability Recovery for Software-Defined WANs Under Multiple Controller Failures. - Zehua Guo 001; Songshi Dou; Wenchao Jiang; Yuanqing Xia (IEEE/ACM Trans. Netw., 2024)

Prophet: Traffic Engineering-Centric Traffic Matrix Prediction. - Yuntian Zhang; Ning Han; Tengteng Zhu; Junjie Zhang 001; Minghao Ye; Songshi Dou; Zehua Guo 001 (IEEE/ACM Trans. Netw., 2024)

Building Scalable and Flexible Virtual Networks on Programmable Data Plane. - Ziyong Li; Yuxiang Hu; Jiangxing Wu 001; Le Tian 002; Tao Hu 002; Zehua Guo 001 (IEEE Netw., 2024)

Maintaining the Network Performance of Software-Defined WANs With Efficient Critical Routing. - Zehua Guo 001; Changlin Li; Yang Li; Songshi Dou; Bida Zhang; Weichao Wu (IEEE Trans. Netw. Serv. Manag., 2024)

Realizing the Carbon-Aware Service Provision in ICT System. - Penghao Sun; Julong Lan; Yuxiang Hu; Zehua Guo 001; Chong Wu; Jiangxing Wu 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Maintaining Control Resiliency for Traffic Engineering in SD-WANs. - Zehua Guo 001; Li Qi; Songshi Dou; Jiawei Weng; Xiaoyang Fu; Yuanqing Xia (IEEE/ACM Trans. Netw., 2024)

When In-Network Computing Meets Distributed Machine Learning. - Haowen Zhu; Wenchao Jiang; Qi Hong; Zehua Guo 001 (IEEE Netw., 2024)

Path Programmability Recovery under Controller Failures for SD-WANs: Recent Advances and Future Research Challenges. - Songshi Dou; Zehua Guo 001 (IEEE Commun. Mag., 2024)

EPIC: Traffic Engineering-Centric Path Programmability Recovery Under Controller Failures in SD-WANs. - Songshi Dou; Li Qi; Jianye Wang; Zehua Guo 001 (IEEE/ACM Trans. Netw., 2024)

Collaborative Superpixelwised PCA for Hyperspectral Image Classification. - Chao Yao; Junrui Gu; Zehua Guo 001; Miao Ma; Qingrui Guo; Gong Cheng 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Maintaining Predictable Traffic Engineering Performance Under Controller Failures for Software-Defined WANs. - Songshi Dou; Zehua Guo 001 (IEEE J. Sel. Areas Commun., 2025)

Path-Based Graph Neural Network for Robust and Resilient Routing in Distributed Traffic Engineering. - Minghao Ye; Junjie Zhang 001; Zehua Guo 001; H. Jonathan Chao (IEEE J. Sel. Areas Commun., 2025)