I am now a postdoc at the King Abdullah University of Science and Technology (KAUST) hosted by Prof. Peter Richtárik.
I received my PhD in Computer Science from the Institute for Interdisciplinary Information Sciences of Tsinghua University in July 2019. My Advisor was Prof. Jian Li.
I was a visiting scholar at the Computer Science Department of Duke University (Hosted by Prof. Rong Ge) and a visiting scholar at the Industrial and Systems Engineering of Georgia Institute of Technology (Hosted by Prof. Guanghui (George) Lan).
My research interests lie in theoretical computer science and machine learning, in particular convex/nonconvex/distributed optimization, machine learning, algorithms and data structures.
PhD thesis: Simple and Fast Optimization Methods for Machine Learning. June 2019.
2019 Tsinghua Outstanding Doctoral Dissertation Award.
Zhize Li, Peter Richtárik
Manuscript on arXiv in June 2020.
Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtárik
37th International Conference on Machine Learning (ICML 2020)
Zhize Li, Jian Li
23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
[alphabetical order] Guanghui Lan, Zhize Li, Yi Zhou
33rd Conference on Neural Information Processing Systems (NeurIPS 2019) [slides]
33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li
Machine Learning, 2019, journal.
[alphabetical order] Rong Ge, Zhize Li, Weiyao Wang, Xiang Wang
32nd Conference on Learning Theory (COLT 2019)
[alphabetical order] Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang
7th International Conference on Learning Representations (ICLR 2019)
Yu Shi, Jian Li, Zhize Li
28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
Zhize Li, Jian Li
32nd Conference on Neural Information Processing Systems (NeurIPS 2018). (spotlight)
Zhize Li, Jian Li, Hongwei Huo
25th International Symposium on String Processing and Information Retrieval (SPIRE 2018). (invited)
[long paper] [slides]. (full version in arXiv was submitted to journal)
Previous one-page [summary paper] appeared in 28th IEEE Data Compression Conference (DCC 2018)
The suffix array (as a space-efficient alternative to suffix tree) is a fundamental data structure for many applications that involve string searching and data compression. Designing time/space-efficient suffix array construction algorithms has attracted significant attention and considerable advances have been made for the past 20 years. We give the first linear time in-place suffix array construction algorithm which is optimal both in time and space. In particular, our algorithm solves the important open problem posed by Franceschini and Muthukrishnan in ICALP 2007. Unfortunately, our paper has been prevented from being published since 2017 due to a malicious conflict of interest [a disclaimer].
Zhize Li, Wei Zhang, Kees Roos
23rd International Symposium on Mathematical Programming (ISMP 2018) [full version] in submission
Zhize Li, Le Zhang, Zhixuan Fang, Jian Li
11th International Symposium on Algorithmic Game Theory (SAGT 2018)
Wei Cao, Jian Li, Yufei Tao, Zhize Li
28th Conference on Neural Information Processing Systems (NIPS 2015)
Conference reviewer: NeurIPS 2020, COLT 2020, ICML 2020, AAAI 2020 (PC), NeurIPS 2019, ECML 2019, COLT 2019, ICML 2019, STOC 2019, COLT 2018, ICML 2017, AAAI 2017, ICALP 2016.
Journal of Machine Learning Research (JMLR)
Journal of the Royal Statistical Society (JRSS)
Computational Optimization and Applications (COAP)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Signal Processing (TSP)
IEEE Transactions on Parallel and Distributed Systems (TPDS)
IEEE/ACM Transactions on Networking (ToN)
Research Assistant (RA):
Tsinghua-MIT-CUHK Research Center for Theoretical Computer Science (Sep, 2014 - Jun, 2019)
Teaching Assistant (TA):
i) Advanced Theoretical Computer Science for graduate students (Spring 2017)
ii) Algorithm Design for undergraduate students (Yao Class) (Fall 2015)
The 2016 National Combinatorial Optimization Summer School
Courses: Computational Complexity, Approximation Algorithms, Randomized Algorithms
Outstanding Student (top 10/110)
My Erdős number is 3.
ICML 2020, AISTATS 2020, NeurIPS 2019, ECML 2019, COLT 2019, ICLR 2019, IJCAI 2019, NeurIPS 2018, SPIRE 2018, SAGT 2018, ISMP 2018, DCC 2018, NIPS 2015.
Email: zhizeli DOT thu AT gmail DOT com
zz-li14 AT mails DOT tsinghua DOT edu DOT cn Address: Room 4-609, FIT Building, Tsinghua University, Beijing 100084, China