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Minghao Ye
I am Minghao Ye, a software engineer at TikTok's Content Delivery Network (CDN) team. I focus on researching and developing intelligent traffic scheduling mechanisms for TikTok's global multi-cloud CDN platform. My contributions ensure efficient and cost-effective edge cloud solutions that seamlessly deliver large-scale VoD traffic to billions of TikTok users worldwide.
Before joining TikTok, I obtained my Ph.D. and M.S. degrees in Electrical Engineering from New York University (NYU) in 2024 and 2019, respectively. I also received dual B.Eng. degrees in Electronic Engineering from Sun Yat-sen University, Guangzhou, China, and The Hong Kong Polytechnic University, Hong Kong, in 2017.
Since 2018, I have been working with Professor H. Jonathan Chao at the NYU High-Speed Networking Lab. My research interests include traffic engineering, network optimization, software-defined networks, and machine learning. During my Ph.D. studies, I have designed multiple traffic engineering solutions for wide-area networks using machine learning, aiming to improve network performance under dynamic traffic scenarios and unexpected failures.
I have co-authored 18 papers (10 first-authored) with 400+ citations in top-tier networking journals and conferences, as well as a book chapter. I am also the recipient of the Best Ph.D. Dissertation Award (2024), the Graduate Research Excellence Award (2023), and the M.S. Academic Achievement Award (2018) in Electrical Engineering at NYU.
Please feel free to contact me at (minghao [dot] ye [at] nyu [dot] edu). I welcome academic discussions and potential collaboration opportunities.
News
[Aug. 2025] LARRI is accepted by IEEE ToN.
[May 2025] CFRR is accepted by the APNet '25 poster session.
[Mar. 2025] Our paper "Dynamic Path Switching for Traffic Engineering in SD-WAN with eBPF" has been accepted by IEEE HPSR '25. Congratulations to all members of the SD-WAN research group!
[Jan. 2025] I am honored to receive the ByteDance Spot Bonus Award in 2024 Q4 with the recognition of "Achievement Beyond Expectation".
[Jan. 2025] DINA is accepted by IEEE ToN.
[Oct. 2024] PathGNN is accepted by IEEE JSAC (Impact factor: 17.2).
[Jun. 2024] Joined TikTok/ByteDance's CDN Infra team as a full-time software engineer, working on R&D of intelligent traffic scheduling for TikTok's global multi-cloud CDN platform.
[May 2024] Our book chapter entitled "Machine Learning for Sensory Data Analytics" has been accepted for inclusion in the Elsevier Book Series on Empowering IoT with Big Data Analytics. Congratulations!
[May 2024] Graduated from NYU and obtained my Ph.D. in Electrical Engineering.
[Apr. 2024] Selected by NYU Tandon to be featured as Student Spotlight during the 2024 Tandon Graduate Week.
[Apr. 2024] Our paper "Toward Determined Service for Distributed Machine Learning" has been accepted by IEEE/ACM IWQoS ’24. Congratulations!
[Apr. 2024] Successfully defended my Ph.D. Dissertation! 🙂
[Apr. 2024] I am honored to receive the Alexander Hessel Award for the Best Ph.D. Dissertation in Electrical Engineering at NYU in the 2023-2024 award year.
[Oct. 2023] Our ICNP ’23 paper Roracle is presented at Gróska Idea House, Reykjavik, Iceland.
[Aug. 2023] Completed my Software Engineer Internship at DreamBig Semiconductor Inc. and returned to NYU to continue my Ph.D. studies.
[Jul. 2023] Roracle is accepted by IEEE ICNP ’23 (Acceptance rate: 18.8%, 34/181).
[Jun. 2023] Among all 252 accepted papers and 1312 submitted papers at INFOCOM ’23, our work LARRI is selected as one of the 5 fast-tracked papers for submission to IEEE/ACM Transactions on Networking (ToN).
[Jun. 2023] Attended the 2023 ACM FCRC conference and gave a 10-minute talk on our IWQoS ’23 paper QoS-RL at the Orlando World Center Marriott, FL, USA.
[Jun. 2023] Our paper “Prophet: Traffic Engineering-centric Traffic Matrix Prediction” has been accepted by IEEE/ACM ToN. Congratulations!
[May 2023] Joined DreamBig Semiconductor Inc. as a Software Engineer Intern during Summer 2023 with a focus on the R&D of cloud networking technologies.
[May 2023] Attended the 2023 IEEE INFOCOM conference and gave a 20-minute talk on our paper LARRI at Stevens Institute of Technology, NJ, USA.
[Apr. 2023] Selected as the recipient of the Dante Youla Award for Graduate Research Excellence in Electrical Engineering by the NYU ECE Graduate Academics Committee in the 2022-2023 award year.
[Mar. 2023] QoS-RL is accepted by IEEE/ACM IWQoS ’23 (Acceptance rate: 23.5%, 62/264).
[Jan. 2023] Nominated by the ECE department of NYU as a Course Instructor (Adjunct Professor) to teach a graduate-level networking course “ECE-GY 6363 Data Center and Cloud Computing” in the Spring 2023 semester.
[Dec. 2022] LARRI is accepted by IEEE INFOCOM ’23 (Acceptance rate: 19.2%, 252/1312).
[Oct. 2022] Passed the NYU ECE Ph.D. Area Exam.
[Sep. 2022] FlexDATE is accepted by IEEE/ACM ToN.
[Jun. 2022] FlexEntry is accepted by IEEE JSAC (Impact factor: 17.2).
[Jun. 2022] Our MMSys ’22 paper RL-AFEC is presented online via Zoom.
[Mar. 2022] Our paper “RL-AFEC: Adaptive Forward Error Correction for Real-time Video Communication Based on Reinforcement Learning” has been accepted by ACM MMSys ’22. Congratulations to all members of the FEC research group!
[Nov. 2021] Attended the 2021 IEEE ICNP conference (online) and gave a 20-minute talk on our ICNP ’21 paper FedTe via Zoom.
[Oct. 2021] The 90-second teaser video of our ICNP ’21 paper FedTe is now available. Please take a look!
[Oct. 2021] Selected as the recipient of the IEEE ICNP 2021 Student Registration Award.
[Jul. 2021] FedTe is accepted by IEEE ICNP ’21 (Acceptance rate: 24.7%, 38/154).
[Jun. 2021] Attended the 2021 IEEE/ACM IWQoS conference (online) and gave a 15-minute talk on our IWQoS ’21 paper DATE via Zoom.
[Apr. 2021] DATE is accepted by IEEE/ACM IWQoS ’21 (Acceptance rate: 25%, 64/256).
[Aug. 2020] Attended the 2020 ACM SIGCOMM conference (online) and gave a 15-minute talk on our NetAI ’20 paper SmartEntry via Zoom.
[Aug. 2020] Passed the NYU ECE Ph.D. Qualifying Exam.
[May 2020] SmartEntry is accepted by the 2020 ACM SIGCOMM Workshop on Network Meets AI & ML (NetAI).
[Mar. 2020] CFR-RL is accepted by IEEE JSAC (Impact factor: 17.2). I have been working on this project for more than one year as a Graduate Research Assistant at the NYU High-Speed Networking Lab since Fall 2018.
[Aug. 2019] Joined the Electrical Engineering Ph.D. program at NYU with a research focus on machine learning for networking.
[Jul. 2019] 3MMarkov is accepted by IEEE TNSM (Impact factor: 5.4). I contributed to this work during my Research Assistant Internship at the Cyber-Physical-Social Systems Lab of Huazhong University of Science and Technology.
[May 2019] Graduated from NYU and obtained my M.S. degree in Electrical Engineering.
[Oct. 2018] Received the NYU ECE M.S. Student Academic Achievement Award as one of the top M.S. students with a Perfect GPA (4.0/4.0).
[Sep. 2018] Joined the NYU High-Speed Networking Lab as a Graduate Research Assistant, working on a research project entitled “Traffic Engineering with Reinforcement Learning” (Supervised by Prof. H. Jonathan Chao).
[Jul. 2018] Completed my Research Assistant Internship at the Cyber-Physical-Social Systems Lab and returned to NYU to continue my M.S. studies.
[Jun. 2018] Joined the Cyber-Physical-Social Systems Lab of Huazhong University of Science and Technology as a Research Assistant Intern, working on a research project entitled “Network Traffic Prediction with Multivariate Multi-order Markov Models” (Supervised by Prof. Laurence T. Yang and Dr. Huazhong Liu).
[Aug. 2017] Joined the Electrical Engineering M.S. program at NYU.
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