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Hi, I'm Jacky Yibo Zhang


photo taken in Vancouver, Canada
I am a PhD student in the Department of Computer Science at University of Illinois at Urbana-Champaign, where I am fortunate to be advised by Sanmi Koyejo. I completed my undergraduate study at the University of Science and Technology of China. I am broadly interested in
  • Machine Learning: broadly in understanding and designing machine learning algorithms, especially from a fundamental perspective.
  • Optimization: non-convex optimization, combinatorial optimization, stochastic optimization, submodular optimization.
  • Algorithms: approximation algorithms, heuristic algorithms.
Other than research, I love photography, music, soccer, etc.
Education University of Illinois at Urbana-Champaign
  • PhD Student - Department of Computer Science
  • Advisor: Sanmi Koyejo
  • 2019 - Present
University of Science and Technology of China
  • Bachelor of Computer Science and Technology
  • Research Advisor: Chao Qian
  • 2015 - 2019
Publications & Preprints Sparse Optimization Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
[ pdf ] [ poster ] [ short talk ] [ long talk ]
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, and Oluwasanmi Koyejo.
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. (Oral)
Learning Sparse Distributions using Iterative Hard Thresholding [ pdf ] [ poster ]
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, and Oluwasanmi Koyejo.
Neural Information Processing Systems (NeurIPS), 2019.
Fundamental Problems in Machine Learning Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Kaizhao Liang*, Jacky Y. Zhang*, Boxin Wang, Zhuolin Yang, Oluwasanmi Koyejo, and Bo Li
International Conference on Machine Learning (ICML), 2021 (*eqaul contribution).
Submodular Optimization Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization [ pdf ]
Yibo Zhang, Chao Qian, and Ke Tang.
Preprint: arXiv 1810.06833, 2018.
On Multiset Selection with Size Constraints [ pdf ]
Chao Qian, Yibo Zhang, Ke Tang, and Xin Yao.
AAAI Conference on Artificial Intelligence (AAAI), 2018.
...and More Labeling Cost-Sensitive Batch Active Learning for Brain Tumor Segmentation
Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, and Oluwasanmi Koyejo.
International Symposium on Biomedical Imaging (ISBI), 2021.
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning [ pdf ]
Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, and Klara Nahrstedt.
AAAI 2021 Workshop Towards Robust, Secure and Efficient Machine Learning.
Selected Honors
  • 2018 Guo Moruo Scholarship (Highest Graduation Distinction)
  • 2017 Outstanding Student Scholarship Golden Award
  • 2016 Member of Talent Program in Computer Science and Technology, USTC
  • 2016 Outstanding Student Scholarship Golden Award
Contact yiboz@illinois.edu
Siebel Center for Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL