About Me
I am currently an associate professor in the School of Information at Huazhong Agricultural University.
I was a Post-Doctoral Fellow at Hong Kong University of Science and Technology, advised by Prof. Bo Li and Prof. Shaohuai Shi from 2023-2024. I was also a Post-Doctoral Fellow at Hong Kong Polytechnic University, advised by Prof. Jiannong Cao from 2024-2025.
I received my Bachelor and Master degrees from Wuhan University of Technology in 2016 and 2019; and my PhD degree from Wuhan University in 2023, advised by Prof. Ruiting Zhou and Prof. Zongpeng Li.
Contact
Office: 第一综合楼B座Room 303
Email: ne.wang@mail.hzau.edu.cn or ne.wang@whu.edu.cn
I am now looking for graduate students and intern students who are interested in machine learning system, LLM training and inference, distributed learning, cloud/edge computing. If you have interests, feel free to contact me.
Research Interests
- Machine learning system, LLM training and inference
- Distributed learning, Data Center Network
- Algorithm design for DNN training and inference
- Intelligent Edge, Federated Learning
Journal Papers
- Efficient and Intelligent Multi-Job Federated Learning in Wireless Networks IEEE Internet of Things Journal (IoTJ), 12(7): 8685-8698, 2025. (SCI 1区)
- DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Network IEEE Transactions on Mobile Computing (TMC), 22(11): 6377 - 6393, 2023. (CCF A)
- Online Scheduling of Distributed Machine Learning Jobs for Incentivizing Sharing in Multi-Tenant Systems IEEE Transactions on Computers (TC), 72(3): 653 - 667, March 2023. (CCF A)
- Preemptive Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks IEEE Journal on Selected Areas in Communications (JSAC), 40(8): 2411 – 2425, Aug. 2022. (CCF A)
- Dynamic service placement and request scheduling for edge networks Computer Networks, 213: 108997, 2022. (CCF B)
- Low-Latency Hierarchical Federated Learning in Wireless Edge Networks IEEE Internet of Things Journal (IoTJ),11(4): 6943-6960, 2024. (SCI 1区)
- Adaptive Pricing and Online Scheduling for Distributed Machine Learning Jobs IEEE Internet of Things Journal (IoTJ),11(7): 12966-12983, 2024 (SCI 1区)
- Boosting Correlated Failure Repair in SSD Data Centers IEEE Internet of Things Journal (IoTJ),11(8): 14228-14240, 2024 (SCI 1区)
Conference Papers
- SP-MoE: Expediting Sparsely-Activated Mixture-of-Experts Training with Optimized Pipelining Planning IEEE Conference on Computer Communications (INFOCOM), 2025. (CCF A)
- Adaptive Clustered Federated Learning for Clients with Time-Varying Interests IEEE/ACM International Symposium on Quality of Service (IWQoS) 2022: 467-476 (CCF B)
- An Online Learning Approach for Client Selection in Federated Edge Learning under Budget Constraint International Conference on Parallel Processing (ICPP) 2022 (CCF B)
- Multi-agent Multi-armed Bandit Learning for Content Caching in Edge Networks International Conference on Web Services (ICWS) 2022 (CCF B)
Professional Services
- IEEE Transactions on Parallel and Distributed Systems 2025, reviewer
- INFOCOM WKSHPS ICCN 2020-2021, 2024-2025, TPC
- Transactions on Network Science and Engineering 2024, reviewer
- IEEE Internet of Things Journal 2024, reviewer
- IEEE Journal on Selected Areas in Communications 2022, reviewer
- IWQoS 2021, reviewer
Awards
- Second Prize of Academic Innovation Award, 2022
- Hubei Province Outstanding Bachelor's Thesis, 2016