Responsive multipath TCP in SDN-based datacenters. - Jingpu Duan; Zhi Wang 001; Chuan Wu 001 (ICC, 2015)

GPUNFV: a GPU-Accelerated NFV System. - Xiaodong Yi 001; Jingpu Duan; Chuan Wu 001 (APNet, 2017)

Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS. - Jingpu Duan; Chuan Wu 001; Franck Le; Alex X. Liu; Yanghua Peng (IEEE J. Sel. Areas Commun., 2017)

FlowShader: a Generalized Framework for GPU-accelerated VNF Flow Processing. - Xiaodong Yi 001; Junjie Wang; Jingpu Duan; Wei Bai 001; Chuan Wu 001; Yongqiang Xiong; Dongsu Han (ICNP, 2019)

NetStar: A Future/Promise Framework for Asynchronous Network Functions. - Jingpu Duan; Xiaodong Yi 001; Junjie Wang; Chuan Wu 001; Franck Le (IEEE J. Sel. Areas Commun., 2019)

NFVactor: A Resilient NFV System Using the Distributed Actor Model. - Jingpu Duan; Xiaodong Yi 001; Shixiong Zhao; Chuan Wu 001; Heming Cui; Franck Le (IEEE J. Sel. Areas Commun., 2019)

A proactive auto-scaling scheme with latency guarantees for multi-tenant NFV cloud. - Guangwu Hu; Qing Li 006; Shuo Ai; Tan Chen; Jingpu Duan; Yu Wu 010 (Comput. Networks, 2020)

Antelope: A Framework for Dynamic Selection of Congestion Control Algorithms. - Jianer Zhou; Xinyi Qiu; Zhenyu Li 001; Gareth Tyson; Qing Li 006; Jingpu Duan; Yi Wang 004 (ICNP, 2021)

FlexNF: Flexible Network Function Orchestration on the Programmable Data Plane. - Hanyu Zhao; Qing Li 006; Jingpu Duan; Yong Jiang 001; Kai Liu (IWQoS, 2021)

Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation. - Guorui Xie; Qing Li 006; Yutao Dong; Guanglin Duan; Yong Jiang 001; Jingpu Duan (INFOCOM, 2022)

Pricing-based resource allocation in three-tier edge computing for social welfare maximization. - Yupeng Li 001; Mengjia Xia; Jingpu Duan; Yang Chen 001 (Comput. Networks, 2022)

Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order. - Qing Li 006; Yichao Wu; Jingpu Duan; Jiahai Yang 001; Yong Jiang 001 (IEEE Trans. Netw. Serv. Manag., 2022)

An Online Control Approach of Collaborative Federated Learning with Constrained Resources. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (APNet, 2023)

Emulating High-performance Networks with CNNet. - Yang Peng; Yupeng Xiao; Jingpu Duan; Xiaoxi Zhang 001; Weichao Li 001 (ICDCS Workshops, 2023)

TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning. - Yihong Li; Tianyu Zeng; Xiaoxi Zhang 001; Jingpu Duan; Chuan Wu 001 (INFOCOM, 2023)

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (INFOCOM Workshops, 2023)

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

Enabling Reliable and Efficient Performance Monitoring and Troubleshooting in Datacenter Networks. - Qinglin Xun; Weichao Li 001; Haorui Guo; Qianyi Huang; Jianer Zhou; Jingpu Duan; Yi Wang 004; Jinbei Zhang (IWQoS, 2023)

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning. - Tianxiang Zhu; Xiaoxi Zhang 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2023)

RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge. - Tianyu Zeng; Xiaoxi Zhang 001; Daipeng Feng; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (MSN, 2023)

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Xu Chen 004 (SECON, 2023)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (CoRR, 2023)

Cable: A framework for accelerating 5G UPF based on eBPF. - Jianer Zhou; Zengxie Ma; Weijian Tu; Xinyi Qiu; Jingpu Duan; Zhenyu Li 001; Qing Li 006; Xinyi Zhang 004; Weichao Li 001 (Comput. Networks, 2023)

AdaptNF: Adaptive service chain scheduling with stateless migration and NF consolidation. - Qing Li 006; He Huang; Yong Jiang 001; Jingpu Duan (Digit. Commun. Networks, 2023)

A Machine Learning-Based Framework for Dynamic Selection of Congestion Control Algorithms. - Jianer Zhou; Xinyi Qiu; Zhenyu Li 001; Qing Li 006; Gareth Tyson; Jingpu Duan; Yi Wang 004; Heng Pan; Qinghua Wu 004 (IEEE/ACM Trans. Netw., 2023)

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm. - Yihong Li; Xiaoxi Zhang 001; Tianyu Zeng; Jingpu Duan; Chuan Wu 001; Di Wu 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2023)

RACCOON: Online Content Recommendation and Edge-Assisted Caching for In-Vehicle Infotainment. - Yufei You; Xiaoxi Zhang 001; Tianxiang Zhu; Bo Rao; Yihong Li; Jingpu Duan; Lei Xue; Ennan Zhai; Xu Chen 004 (BigCom, 2024)

Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference. - Songjun Huang; Yihong Li; Liangkun Chen; Xiaoxi Zhang 001; Shuo Liu 002; Jingpu Duan; Wenfei Wu; Xu Chen 004 (ICPP Workshops, 2024)

Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming. - Xiaoxi Zhang 001; Haoran Xu; Longhao Zou; Jingpu Duan; Chuan Wu 001; Yali Xue; Zuozhou Chen; Xu Chen 004 (INFOCOM, 2024)

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles. - Bo Rao; Xiaoxi Zhang 001; Tianxiang Zhu; Yufei You; Yihong Li; Jingpu Duan; Zhi Zhou 006; Xu Chen 004 (IWQoS, 2024)

MPVSched: Multipath Transmissions and Video Frame Scheduling for Content Delivery Networks. - Haoran Xu; Xiaoxi Zhang 001; Jingpu Duan; Chuan Wu 001; Jinhang Zuo; Xuan Zeng; Chen Chen; Yubing Qiu; Xu Chen 004 (NAS, 2024)

rpkt: A Generic, Safe, and Efficient Userspace Packet Processing Library in Rust. - Yupeng Xiao; Yaxuan Chen; Xin Zhao; Jingpu Duan; Xiaoxi Zhang 001; Weichao Li 001; Xiaofeng Tao (NPC (2), 2024)

POSTER: In-network Model Inference for Distributed Systems via Programmable Switches. - Jianqiang Zhong; Yihong Li; Shuo Liu 002; Jingpu Duan; Xiaoxi Zhang 001; Xu Chen 004 (SIGCOMM (Posters and Demos), 2024)

MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks. - Zeyu Luan; Qing Li 006; Yong Jiang 001; Jingpu Duan; Ruobin Zheng; Dingding Chen; Shaoteng Liu (Comput. Networks, 2024)

CPT: Competence-progressive Training Strategy for Few-shot Node Classification. - Qilong Yan; Yufeng Zhang; Jinghao Zhang; Jingpu Duan; Jian Yin 001 (CoRR, 2024)

DHNet: A Distributed Network Architecture for Smart Home. - Chaoqi Zhou; Jingpu Duan; Yupeng Xiao; Qing Li 006; Dingding Chen; Ruobin Zheng; Shaoteng Liu (CoRR, 2024)

A survey on modeling for behaviors of complex intelligent systems based on generative adversarial networks. - Yali Lv; Jingpu Duan; Xiong Li (Comput. Sci. Rev., 2024)

An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning. - Tianyu Zeng; Xiaoxi Zhang 001; Jingpu Duan; Chao Yu 004; Chuan Wu 001; Xu Chen 004 (IEEE Trans. Parallel Distributed Syst., 2024)

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. - Weijie Liu; Xiaoxi Zhang 001; Jingpu Duan; Carlee Joe-Wong; Zhi Zhou 006; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Stochastic Long-Term Energy Optimization in Digital Twin-Assisted Heterogeneous Edge Networks. - Yingsheng Peng; Jingpu Duan; Jinbei Zhang; Weichao Li 001; Yong Liu 005; Fuli Jiang (IEEE J. Sel. Areas Commun., 2024)

Online Management for Edge-Cloud Collaborative Continuous Learning: A Two-Timescale Approach. - Shaohui Lin; Xiaoxi Zhang 001; Yupeng Li 001; Carlee Joe-Wong; Jingpu Duan; Dongxiao Yu; Yu Wu 010; Xu Chen 004 (IEEE Trans. Mob. Comput., 2024)

Resource allocation and pricing for SFC deployment in Space-Air-Ground-Integrated Networks: An innovative auction-based strategy. - Yali Lv; Xiaoxi Zhang 001; Yingsheng Peng; Jingpu Duan; Xiong Li; Bo Yi; Qing Li 006 (Comput. Networks, 2025)

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning. - Bokeng Zheng; Bo Rao; Tianxiang Zhu; Chee Wei Tan 001; Jingpu Duan; Zhi Zhou 006; Xu Chen 004; Xiaoxi Zhang 001 (CoRR, 2025)

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction. - Weijie Liu; Ziwei Zhan; Carlee Joe-Wong; Edith Ngai; Jingpu Duan; Deke Guo; Xu Chen 004; Xiaoxi Zhang 001 (CoRR, 2025)

User-Intent-Driven Semantic Communication via Adaptive Deep Understanding. - Peigen Ye; Jingpu Duan; Hongyang Du; Yulan Guo (CoRR, 2025)

Accelerating Edge Inference for Distributed MoE Models with Latency-Optimized Expert Placement. - Tian Wu; Liming Wang; Zijian Wen; Xiaoxi Zhang 001; Jingpu Duan; Xianwei Zhang; Jinhang Zuo (CoRR, 2025)