Biography

Chenning Li is a third-year Ph.D. student in the Networks and Mobile Systems group at CSAIL, EECS, MIT, working with Prof. Hari Balakrishnan and Prof. Mohammad Alizadeh.

Research Interests

Chenning's research focuses on using machine learning for networking, particularly in performance modeling for large-scale data centers. He has authored multiple first-authored papers in top-tier conferences, including SIGCOMM, NSDI, MobiCom, and MobiSys. His recent work, m3, ACM SIGCOMM 2024, uses Transformers to efficiently and accurately simulate network performance across diverse workloads, configurations, and topologies in today's large-scale data centers.

Chenning's contributions have earned him several prestigious honors, including: 2025 NVIDIA Graduate Fellowship Finalist, 2023 Meta PhD Fellowship Finalist, ACM SenSys Best Paper Award (2021). Beyond academia, Chenning brings valuable industry experience from his internships at Microsoft and TikTok.

Selected Publications

• [ACM SIGCOMM'24] Chenning Li*, Arash Nasr-Esfahany*, Kevin Zhao, Kimia Noorbakhsh, Prateesh Goyal, Mohammad Alizadeh, and Thomas Anderson. "m3: Accurate Flow-Level Performance Estimation using Machine Learning".  Slides  Code  Video  Poster
• [ACM MobiSys'24] Chenning Li*, Yidong Ren*, Shuai Tong, Shakhrul Iman Siam, Mi Zhang, Yunhao Liu, Jiliang Wang, and Zhichao Cao. "ChirpTransformer: Versatile LoRa Encoding for Low- power Wide-area IoT".  Code
• [USENIX NSDI'22] Chenning Li, Xiuzhen Guo, Longfei Shangguan, Zhichao Cao, Kyle Jamieson. "CurvingLoRa to Boost LoRa Network Throughput via Concurrent Transmission".  Slides  Code  Video
• [ACM MobiCom'22] Chenning Li, Xiao Zeng, Mi Zhang, Zhichao Cao. "PyramidFL: A Fine-grained Client Selection Framework for Efficient Federated Learning".  Slides  Code
• [IEEE INFOCOM'22] Chenning Li, Zhichao Cao, Li Xiao. "CurveALOHA: Non-linear Chirps Enabled High Throughput Random Channel Access for LoRa".  Slides
• [ACM SenSys'21] Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu. "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation".  Slides  Code
• [ACM SenSys'20] Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, Yunhao Liu. "Wi-Fi See It All: Generative Adversarial Network-augmented Versatile Wi-Fi Imaging".  Slides
• [IEEE INFOCOM'20] Chenning Li, Manni Liu, Zhichao Cao. "WiHF: Enable User Identified Gesture Recognition with WiFi".  Slides

Industrial Experience

• Microsoft - Research Intern - Networking Research Group. May - Aug 2022
• TikTok - Data-System-Network Engineering Intern. Feb - Apr 2022
• CodePath - iOS Development Course. Aug - Dec 2020. Awarded the excellent presentation during the CodePath Mobile Development Virtual Demo Day.

Honors and Awards

• 2025, Finalists for Graduate Fellowship Award, NVIDIA
• 2023, Finalists for Research PhD Fellowship Award, Meta
• 2022, Student Grant, USENIX NSDI & IEEE INFOCOM
• 2021, Best Paper Award, ACM SenSys
• 2019, Named an Engineering Distinguished Scholar, Michigan State University
• 2018, Outstanding Undergraduate of Beijing & Tsinghua University
• 2017, Outstanding Scholarship, Tsinghua University

Teaching Experience

• EECS Communication Lab Fellow (Spring 2024 to Present, MIT)
• Teaching Assistant: CSE220 - Programming in C (Spring 2021, MSU)
• Guest Lecturer: CSE891 - AIoT: Artificial Intelligence in the Edge (Spring 2020 / Fall 2021, MSU)

Professional Services

• Program Committee Member
• ACM S3 Workshop in MobiCom 2024 - Artifact Evaluation Committee
• ACM SIGCOMM 2022, 2023 - Artifact Evaluation Committee
• ACM SenSys 2022 - Shadow Program Committee
• Reviewer
• ACM Transactions on Sensor Networks, ACM on Interactive, Mobile, Wear- able and Ubiquitous Technologies, ACM Computing Surveys, IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Internet of Things Magazine, IEEE Intelligent Transportation System Magazine, IEEE/ACM Transactions on Networking

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