On-Camera Content Filtering for Real-Time Video Analytics. - Fahao Chen; Peng Li 017; Celimuge Wu (HPCC/DSS/SmartCity/DependSys, 2021)

In-Network Aggregation for Privacy-Preserving Federated Learning. - Fahao Chen; Peng Li 017; Toshiaki Miyazaki (ICT-DM, 2021)

Hare: Exploiting Inter-job and Intra-job Parallelism of Distributed Machine Learning on Heterogeneous GPUs. - Fahao Chen; Peng Li 017; Celimuge Wu; Song Guo 001 (HPDC, 2022)

TCB: Accelerating Transformer Inference Services with Request Concatenation. - Boqian Fu; Fahao Chen; Peng Li 017; Deze Zeng (ICPP, 2022)

FedGraph: Federated Graph Learning With Intelligent Sampling. - Fahao Chen; Peng Li 017; Toshiaki Miyazaki; Celimuge Wu (IEEE Trans. Parallel Distributed Syst., 2022)

Efficient Giant Graph Unlearning via Push-Pull Tuning. - Fahao Chen; Peng Li 017; Shui Yu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Efficient Scheduling for Multi-Job Federated Learning Systems with Client Sharing. - Boqian Fu; Fahao Chen; Peng Li 017; Zhou Su (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Low-Latency Perception Sharing Services for Connected Autonomous Vehicles. - Fahao Chen; Peng Li 017; Lei Zhong; Dongxiao Yu; Xiuzhen Cheng 001 (VTC Fall, 2023)

Edge-Assisted Short Video Sharing With Guaranteed Quality-of-Experience. - Fahao Chen; Peng Li 017; Deze Zeng; Song Guo 001 (IEEE Trans. Cloud Comput., 2023)

DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks. - Fahao Chen; Peng Li 017; Celimuge Wu (Proc. ACM Manag. Data, 2023)

Communication-Efficient Sparsely-Activated Model Training via Sequence Migration and Token Condensation. - Fahao Chen; Peng Li 017; Zicong Hong; Zhou Su; Song Guo 001 (CoRR, 2024)

Non-Clairvoyant Scheduling of Distributed Machine Learning With Inter-Job and Intra-Job Parallelism on Heterogeneous GPUs. - Fahao Chen; Peng Li 017; Celimuge Wu; Song Guo 001 (IEEE Trans. Cloud Comput., 2024)

Giant Could Be Tiny: Efficient Inference of Giant Models on Resource-Constrained UAVs. - Fahao Chen; Peng Li 017; Shengli Pan 001; Lei Zhong; Jing Deng 001 (IEEE Internet Things J., 2024)

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models. - Fahao Chen; Peng Li 017; Tom H. Luan; Zhou Su; Jing Deng 001 (INFOCOM, 2025)

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management. - Qianli Liu; Zicong Hong; Peng Li 017; Fahao Chen; Song Guo 001 (INFOCOM, 2025)

Serving Transformer Models via Joint Requst Scheduling and Batching in the Network Edge. - Boqian Fu; Fahao Chen; Peng Li 017; Deze Zeng (IEEE Trans. Sustain. Comput., 2025)

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management. - Liu Qianli; Zicong Hong; Fahao Chen; Peng Li 017; Song Guo 001 (CoRR, 2025)

Corrections to "Giant Could Be Tiny: Efficient Inference of Giant Models on Resource-Constrained UAVs". - Fahao Chen; Peng Li 017; Shengli Pan 001; Lei Zhong; Jing Deng 001 (IEEE Internet Things J., 2025)

Efficient multi-job federated learning scheduling with fault tolerance. - Boqian Fu; Fahao Chen; Shengli Pan 001; Peng Li 017; Zhou Su (Peer Peer Netw. Appl., 2025)

Internet of Agents: Fundamentals, Applications, and Challenges. - Yuntao Wang 004; Shaolong Guo; Yanghe Pan; Zhou Su; Fahao Chen; Tom H. Luan; Peng Li 017; Jiawen Kang 001; Dusit Niyato (CoRR, 2025)

Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency. - Ruixiao Li; Fahao Chen; Peng Li 017 (CoRR, 2025)