Zixuan Chen
Ph. D. Candidate
Ph. D. at Fudan University
2020 - 2025 | Shanghai, China
Major in computer network, including distributed deep learning (DDL or DML), datacenter network (DCN), and content delivery network (CDN). (Prof. Yang Xu)
B. S. with Honors at Wuhan University
2016 - 2020 | Wuhan, China
Major in computer science (CS).
Affiliated High School of Fujian Normal University
2013 - 2016 | Fuzhou, China
Major in science.
Management Assistant
2020 - 2024 | School of Computer Science at Fudan University
Daily content maintenance for the institute website.
Teaching Assistant for Computer Architecture
2020 - 2022 | Software School of Fudan University (Prof. Yi Li)
Computer architecture course-related QAs, design, and correction of homework and exams, Chisel-based RISC-V CPU evaluation platform design and deployment (Chisel, Docker).
Research Assistant
2019 - 2020 | Future Network Innovation Lab, Fudan University (Prof. Yang Xu)
Study of the content delivery network (CDN) and its load-balance algorithms.
Full Stack Intern
2018 - 2020 | Ninechapter Inc.
Ninechapter front-end development (React, Django), LintCode front-end development (React, Django), and LintCode online code judgment platform development (C++, Docker).
Student Research Intern
2018 - 2019 | Student in Key Laboratory of Aerospace Information Security and Trusted Computing, Wuhan University (Prof. Ming Tang)
A joint study of hardware-side channel attacks and machine learning methods.
Student Intern
2017 - 2018 | Sensing Intelligence, Geoscience and Machine Learning Lab, Wuhan University (Prof. Bo Du)
Study related to machine learning, recommendation algorithms, and recommendation systems.
IEEE IPDPS 2024 | CCF-B, acceptance rate -% (-/-)
MUSE: A Runtime Incrementally Reconfigurable Network Adapting to HPC Real-Time Traffic
Zijian Li, Zixuan Chen, Yiying Tang, Xin Ai, Yuanyi Zhu, Zhigao Zhao, Jiang Shao, Guowei Liu, Sen Liu, Bin Liu, and Yang Xu
A Dragonfly-based runtime incrementally reconfigurable network topology with optical circuit switch (OCS).
IEEE CLUSTER 2023 | CCF-B, acceptance rate 24.6% (32/130)
SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research
Zixuan Chen, Zhigao Zhao, Zijian Li, Jiang Shao, Sen Liu, and Yang Xu
Software Defined Topology Testbed (SDT) offers a scalable, cost-effective, and time-efficient solution for conducting diverse network research experiments.
ACM TURC 2023 | Invited poster
Augmenting Distributed AI Training with Loss-tolerant Transmission
Zixuan Chen, Lei Shi, Yongbo Gao, Xuandong Liu, Xin Ai, Sen Liu, and Yang Xu
ACM ICPP 2023 | CCF-B, Best Paper candidate
OSP: Boosting Distributed Model Training with 2-stage Synchronization
Zixuan Chen, Lei Shi, Xuandong Liu, Jiahui Li, Sen Liu, and Yang Xu
A synchronization approach that enhances the throughput of PS-based DDL training by overlapping the communication with the computation by a 2-stage synchronization strategy.
IEEE/ACM IWQoS 2023 | CCF-B, acceptance rate 23.5% (62/264)
Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol
Zixuan Chen, Lei Shi, Xuandong Liu, Xin Ai, Sen Liu, and Yang Xu
A customized transmission protocol that improves distributed machine learning throughput by properly exploiting link packet loss.
IEEE/ACM IWQoS 2023 | CCF-B, acceptance rate 23.5% (62/264)
Rusen: Rule Semantics Enabler toward Fast TCAM Update for Commodity SDN Switches
Hao Mei, Ruoshi Sun, Ruyi Yao, Chuhao Chen, Cong Luo, Zixuan Chen, Jiahui Li, Sen Liu, and Yang Xu
A rule semantics enabler enables multiple TCAM update algorithms in commodity SDN switches, which works as a transparent middle layer without modification to network devices.
Patent of Invention (in-review), China, 2023
A Receiver-side Multi-origin Scheduling Strategy for PCDN-based Video Streaming and Content Delivery
(with ByteDance)
Patent of Invention (in-review), China, 2023
A Proactive Redundancy Request Policy for PCDN-based Video Streaming and Content Delivery
(with ByteDance)
Patent of Invention (granted), China, 2023
Distributed Aggregate Communication Method, Apparatus, Device, and Storage Medium
Second Author (with Peng Cheng Laboratory)
This invention, related to communication technology, introduces a distributed collection communication method and related equipment. It sends and receives 'interest packets' between computing nodes in a cluster to process and reduce data. The method is designed to make the Named Data Networking (NDN) architecture compatible with global data reduction algorithms.
Patent of Invention (in-review), China, 2022
A Method for Projecting Large-scale Topologies Using One SDN Switch
First author
Patent of Invention (granted), China, 2017
The Best Beautiful Path
Third author
Hilton Santa Fe Historic Plaza, Santa Fe, New Mexico, USA
IEEE International Conference on Cluster Computing (Cluster 2023)
Oct. 31 - Nov. 3, 2023
Cleone Peterson Eccles Alumni House, Salt Lake City, Utah, USA
52nd International Conference on Parallel Processing (ICPP)
Aug. 7 - 10, 2023
Wanda Reign Wuhan, Wuhan, Hubei, China
ACM Turing Award Celebration Conference (TURC) 2023
Jul. 28 - 30, 2023
World Center Marriott, Orlando, Florida, USA
ACM Federated Computing Research Conference (FCRC) 2023
Jun. 17 - 22, 2023
Golden Rooster Lake Conference Center, Suzhou, Jiangsu, China
China National Computer Congress (CNCC) 2019
Oct. 17 - 19, 2019
Hangzhou International Expo Center, Hangzhou, Zhejiang, China
China National Computer Congress (CNCC) 2018
Oct. 25 - 27, 2018
China Computer Federation (CCF)
Silver Award
CCF Collegiate Computer System & Programming contest (CCSP) | 2019
Silver Award
2019 ACM-ICPC China Xian National Invitational Programming Contest | 2019
China Computer Federation (CCF)
CCF Certified Student Member (CSP 310)
Certified Software Professional (CSP) | 2018
Consortium for Mathematics and its Applications (COMAP)
Meritorious Winner (Top 6% of 9932 teams)
Mathematical Contest in Modeling and Interdisciplinary Contest in Modeling (MCM/ICM) | 2018
Microsoft Research Asia (MSRA)
Second Prize
Beauty of Programming | 2017
Fudan University
A-class scholarship
Fudan University
Outstanding Student
Fudan University
B-class scholarship
Wuhan University
Outstanding Graduate
Wuhan University
C-class Scholarship & B-class Outstanding Student (Top 20%)
Wuhan University
B-class Scholarship & B-class Outstanding Student (Top 15%)
Daily & CS