| 2026 | INFOCOM | CoSine: Enhancing LLM Serving via Collaborative and Decoupled Speculative Inference. | Luyao Gao, Jianchun Liu, Xichong Zhang, Guoju Gao, Yunming Liao |
| 2026 | INFOCOM | FLUDE: An Efficient Federated Learning Framework with Undependable Devices. | Shilong Wang, Jianchun Liu, Hongli Xu, Chunming Qiao |
| 2026 | IWQoS | AdaMoA: Enhancing Mixture-of-Agents via Task-Adaptive Architecture Optimization. | Wenhui Lv, Hongli Xu, Yang Xu, Jianchun Liu, Zihuai Xu |
| 2026 | KDD | Caesar: Optimizing Federated Learning via Low-deviation Compression. | Jiaming Yan, Jianchun Liu, Hongli Xu, Zhenguo Ma, Shilong Wang |
| 2025 | ACL | Top-nσ: Eliminating Noise in Logit Space for Robust Token Sampling of LLM. | Chenxia Tang, Jianchun Liu, Hongli Xu, Liusheng Huang |
| 2025 | DASFAA | Tackling Non-IID Graphs via Decoupled Structure and Feature in Federated Graph Learning. | Longwen Wang, Jianchun Liu, Xianjun Gao, Zhi Liu, Jinyang Huang |
| 2025 | ICCCN | Towards High-Performance and Compatible RDMA Networks with Receiver-Based and Fine-Grained Congestion Control. | Jun Xu, Jianchun Liu, Hongli Xu, Yangming Zhao, Zhuolong Yu |
| 2025 | ICDE | Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching. | Wenyi Liang, Jianchun Liu, Hongli Xu, Chunming Qiao, Liusheng Huang |
| 2025 | INFOCOM | Accelerating End-Cloud Collaborative Inference via Near Bubble-Free Pipeline Optimization. | Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang |
| 2025 | INFOCOM | Towards Lightweight Traffic Forecasting in RDMA Networks: Design and Application. | Cheng Yang, Xiaoning Zhang, Bodong Yan, Sun Xu, Bingyi Liu, Jianchun Liu |
| 2024 | INFOCOM | Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. | Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou |
| 2024 | IWQoS | Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective. | Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang |
| 2024 | IWQoS | LHCC: Low-Latency and Hi-Precision Congestion Control in RDMA Datacenter Networks. | Bodong Yan, Yangming Zhao, Sun Xu, Jianchun Liu, Hongli Xu |
| 2023 | ICPADS | FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning. | Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang |
| 2023 | IWQoS | Enhanced Federated Learning with Adaptive Block-wise Regularization and Knowledge Distillation. | Qingmin Zeng, Jianchun Liu, Hongli Xu, Zhiyuan Wang, Yang Xu, Yangming Zhao |
| 2022 | ICDE | Enhancing Federated Learning with Intelligent Model Migration in Heterogeneous Edge Computing. | Jianchun Liu, Yang Xu, Hongli Xu, Yunming Liao, Zhiyuan Wang, He Huang |
| 2022 | ICDE | Enhancing Federated Learning with In-Cloud Unlabeled Data. | Lun Wang, Yang Xu, Hongli Xu, Jianchun Liu, Zhiyuan Wang, Liusheng Huang |
| 2021 | INFOCOM | Resource-Efficient Federated Learning with Hierarchical Aggregation in Edge Computing. | Zhiyuan Wang, Hongli Xu, Jianchun Liu, He Huang, Chunming Qiao, Yangming Zhao |
| 2020 | INFOCOM | Incremental Server Deployment for Scalable NFV-enabled Networks. | Jianchun Liu, Hongli Xu, Gongming Zhao, Chen Qian, Xingpeng Fan, Liusheng Huang |
| 2019 | HPCC | Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge Computing. | Haichuan Wang, Xi Chen, Hongli Xu, Jianchun Liu, Liusheng Huang |
| 2019 | HPCC | Fast Recovery for Single Link Failure with Segment Routing in SDNs. | Shishuang Wang, Hongli Xu, Liusheng Huang, Xuwei Yang, Jianchun Liu |
| 2019 | ICNP | SAFE-ME: Scalable and Flexible Middlebox Policy Enforcement with Software Defined Networking. | Gongming Zhao, Hongli Xu, Jianchun Liu, Chen Qian, Juncheng Ge, Liusheng Huang |