A PBIL for delay constrained virtual network function placement with load balancing. - Huanlai Xing; Song Li; Penglin Dai; Shouxi Luo; Ke Li 020; Hui Yang (ACM TUR-C, 2019)

An integer encoding grey wolf optimizer for virtual network function placement. - Huanlai Xing; Xinyu Zhou; Xinhan Wang; Shouxi Luo; Penglin Dai; Ke Li 020; Hui Yang (Appl. Soft Comput., 2019)

A generalized service deployment framework for OSPF networks using multi-topology routing: Modeling and methodology. - Ke Li 020; Pingzhi Fan (Int. J. Commun. Syst., 2019)

A Popularity- and Mobility-Aware Multi-layer Caching with Feedback Mechanism for Highway Vehicular Networks. - Ke Li 020; Zhaoyan Lyu; Heng Liu 009; Pingzhi Fan (VTC Fall, 2020)

Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast. - Shouxi Luo; Hongfang Yu; Ke Li 020; Huanlai Xing (IEEE J. Sel. Areas Commun., 2020)

Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks. - Shouxi Luo; Huanlai Xing; Ke Li 020 (IEEE Syst. J., 2020)

Approximate Gradient Synchronization with AQGB. - Xue Liu; Shouxi Luo; Ke Li 020; Huanlai Xing (APNet, 2022)

AoI-aware Data Propagation in Edge Computing Assisted NR-V2X Networks. - Xiaoning Wang; Kexun Chen; Ke Li 020; Qiang Yang (APNet, 2022)

Efficient Partial Reduce Across Clouds. - Renyi Wang; Shouxi Luo; Ke Li 020; Huanlai Xing (APNet, 2022)

Minimizing the Average Job Completion Time for Acceleration Systems in Cloud Computing. - Ke Li 020; Qiang Yang; Shunrui Xiong; Pingzhi Fan (CCIS, 2022)

Fast Parameter Synchronization for Distributed Learning with Selective Multicast. - Shouxi Luo; Pingzhi Fan; Ke Li 020; Huanlai Xing; Long Luo; Hongfang Yu (ICC, 2022)

Poster: Selective Reduce for Heterogeneous Distributed Training. - Zhen Liu; Shouxi Luo; Ke Li 020; Huanlai Xing (ICNP, 2022)

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach. - Fuhong Song; Huanlai Xing; Xinhan Wang; Shouxi Luo; Penglin Dai; Ke Li 020 (Future Gener. Comput. Syst., 2022)

SelfMatch: Robust semisupervised time-series classification with self-distillation. - Huanlai Xing; Zhiwen Xiao; Dawei Zhan; Shouxi Luo; Penglin Dai; Ke Li 020 (Int. J. Intell. Syst., 2022)

UbiNN: A Communication Efficient Framework for Distributed Machine Learning in Edge Computing. - Ke Li 020; Kexun Chen; Shouxi Luo; Honghao Zhang; Pingzhi Fan (IEEE Trans. Netw. Sci. Eng., 2023)

Towards Optimal Topology-Aware AllReduce Synthesis. - Wenhao Lv; Shouxi Luo; Ke Li 020; Huanlai Xing (IWQoS, 2024)

Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles. - Penglin Dai; Meiting Wu; Ke Li 020; Xiao Wu 001; Yan Ding 002 (IEEE Trans. Serv. Comput., 2024)

Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks. - Penglin Dai; Yaorong Huang; Xiao Wu 001; Ke Li 020; Huanlai Xing; Kai Liu 001 (IEEE Trans. Consumer Electron., 2024)

Deep Contrastive Representation Learning With Self-Distillation. - Zhiwen Xiao; Huanlai Xing; Bowen Zhao 002; Rong Qu; Shouxi Luo; Penglin Dai; Ke Li 020; Zonghai Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Efficient and Flexible Component Placement for Serverless Computing. - Shouxi Luo; Ke Li 020; Huanlai Xing; Pingzhi Fan (IEEE Syst. J., 2024)

Releasing the Power of In-Network Aggregation With Aggregator-Aware Routing Optimization. - Shouxi Luo; Xiaoyu Yu; Ke Li 020; Huanlai Xing (IEEE/ACM Trans. Netw., 2024)

An Efficient Joint Source-Channel Coding Scheme for Wireless Hierarchical Federated Learning and its Information-Theoretic Analysis. - Haonan Zhang; Ke Li 020; Kangli Zhao; Peng Xu 002; Bin Dai 003 (IEEE Trans. Consumer Electron., 2024)

Efficient Cross-Cloud Partial Reduce With CREW. - Shouxi Luo; Renyi Wang; Ke Li 020; Huanlai Xing (IEEE Trans. Parallel Distributed Syst., 2024)

An Efficient Coding Scheme for the MIMO Channel With Noisy Feedback and Its Security Analysis. - Guangfen Xie; Dengfeng Xia; Jia Wang; Ke Li 020 (IEEE Trans. Veh. Technol., 2024)

Checkflow: Low-Overhead Checkpointing for Deep Learning Training. - Hangyu Liu; Shouxi Luo; Ke Li 020; Huanlai Xing; Bo Peng 006 (IEEE Comput. Archit. Lett., 2025)

Capacity-Achieving Coding Schemes of Gaussian Finite-State Markov Wiretap Channels With Delayed Feedback. - Dengfeng Xia; Ke Li 020; Han Deng; Peng Xu 002; Bin Dai 003; Liuguo Yin (IEEE Trans. Inf. Forensics Secur., 2025)

Efficient Parameter Synchronization for Peer-to-Peer Distributed Learning With Selective Multicast. - Shouxi Luo; Pingzhi Fan; Ke Li 020; Huanlai Xing; Long Luo; Hongfang Yu (IEEE Trans. Serv. Comput., 2025)

Joint Optimization of Device Placement and Model Partitioning for Cooperative DNN Inference in Heterogeneous Edge Computing. - Penglin Dai; Biao Han; Ke Li 020; Xincao Xu; Huanlai Xing; Kai Liu 001 (IEEE Trans. Mob. Comput., 2025)

Approximate Gradient Synchronization With Adaptive Quantized Gradient Broadcast. - Shouxi Luo; Xue Liu; Ke Li 020; Huanlai Xing; Xu Zhang (Future Gener. Comput. Syst., 2026)