Scholar
Xiaoxi Zhang
Google Scholar ID: nyLg3KMAAAAJ
School of Computer Science and Engineering, Sun Yat-sen University
Citations & Impact
Citations
1,209
H-index
19
i10-index
28
Publications
20
Co-authors
70
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published over 70 papers in high-level international journals and conferences, including NSDI, SIGMETRICS, INFOCOM, WWW, AAAI, AISTATS, MobiSys, ICNP, JSAC, ToN, TPDS, TMC, ICDCS, IWQoS, IEEE Transactions on Cloud Computing (TCC).
- Supervised graduate students to win the Best Student Paper Award at IEEE MSN 2024, Best Paper Nomination at IEEE/ACM IWQoS 2023, Best Paper Award at IEEE Bigcom 2024, and National Scholarship for Graduate Students.
- Distinguished Young Talent of Guangdong Province (2023)
- Best Student Paper Award at IEEE MSN (corresponding author, master student as first author)
- Best Paper Award at IEEE Bigcom 2024 (corresponding author, master student as first author)
- Best Paper Nomination at IEEE/ACM IWQoS 2023 (CCF-B conference) (corresponding author, master student as first author)
- Outstanding Class Advisor (for 2022 undergraduate class)
- Distinguished Technical Program Committee Member of SocialMeta 2023
- Rising Star at Asian Dean's Forum 2018 (First Asian Women Engineers Conference)
- 2017 IEEE INFOCOM Best-In-Session Presentation Award
- Teaching Excellence & Best Tutor Award from the Department of Computer Science at The University of Hong Kong
- Postgraduate Scholarship from HK & China Gas Co., Ltd.
- Postgraduate Scholarship from The University of Hong Kong
Background
- Associate Professor, PhD Supervisor, introduced talent under the 'Hundred Talents Program' of Sun Yat-sen University, and Distinguished Young Talent of Guangdong Province. Research interests include networked systems, distributed machine learning, cloud computing, etc.
Miscellany
- The laboratory is always recruiting postdocs, PhDs, masters, and outstanding undergraduates. We welcome students with a passion for research and interest in the above fields. Priority will be given to applicants with a solid understanding of distributed systems, large models, and computer networks, as well as those with strong system thinking and engineering implementation skills. We especially welcome students who have plans for further academic advancement.
