Hello World!
Hi, I’m Duo Zhou. I’m looking for a Ph.D. in CS/ECE/Information Science.
My research interests lie broadly within AI Safety, including:
1. Theory of Trustworthy Machine Learning (especially Robustness and Adversarial Robustness), Distributionally Robust Optimization, and Sequential Decision Making under Uncertainty.
2. Application in Machine Learning [1], Robotics & Control [2] and Neural Network Verification [3].
Projects
Publications
[3] Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang. "Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes." Accepted by NeurIPS 2024.
[2] Park, Hyuk, Duo Zhou, Grani A. Hanasusanto, and Takashi Tanaka. "Distributionally Robust Path Integral Control." In 2024 American Control Conference (ACC), pp. 1164-1171. IEEE, 2024.
[1] Ruibing Jin*, Duo Zhou*, Min Wu, Xiaoli Li, and Zhenghua Chen. "An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction." IEEE Transactions on Industrial Informatics 20, no. 2 (2023): 1093-1102.
Talks
Distributionally Robust Path Integral Control on The 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, CA. July 23th. 2024.
Research Projects
Enhancing Data Quality Through Personalized Video Content. Advised by Prof. Roman Kuc. 2021.
Project Overview: This project focuses on integrating YOLO and CLIP to generate custom datasets from personal video content for retraining, research, and model enhancement. The goal is to improve the quality of data by leveraging elements within the videos to create a tailored dataset, thereby optimizing performance in specific applications.
Repo: https://github.com/Lemutisme/YOLO-CLIP-zero-shot-test
Future Prices Properties and Predictabilities. Advised by Prof. Alexei Chekhlov. 2020-2021.
Research Overview: This project explores the performance of eight futures markets from China and the United States using a Trend-Following strategy. The study incorporates the Kelly formula to calculate real-time profit-loss ratios and winning rates for dynamic position adjustments. A traversing method with two variables was implemented in MATLAB to determine optimal numerical values for the process. The results include comparisons between in-sample and out-of-sample performance across markets.
Research as: Undergrad Degree Thesis with A.
Repo: https://github.com/Lemutisme/Prediction-of-Future-Market
Recognition
The First Place Winner for both Regular & Extended Track in VNN-COMP 2024.
Team member of alpha-beta-CROWN.
First-Class Scholarship for the Graduating Class. 2021.
EDP Prediction Based on GA-BP NN and Cultural Preservation Model Based on SEIR.
Leader, with team members Jing Song and Yimei Gu.
Repo: https://github.com/Lemutisme/ICM2020-F-review
The Optimization of Taxi Dispatching at Airports.
Provincial First Prize, Contemporary Undergraduate Mathematical Contest in Modeling 2019.
Leader, with team members Maolin Dong and Weijian Zhang.
Repo: https://github.com/Lemutisme/National-MCM-2019-B-review
Experience
Agency for Science, Technology and Research (A*STAR), Singapore
Research Intern Supervised by:
Dr. Zhenghua Chen, Dr. Ruibing Jin
Jan. 2022 - July 2022
I worked as a research intern in the Machine Intellection department, Institute for Infocomm Research (I2R), where I developed hybrid method like Dynamic CNN, LSTM, Knowledge Distillation and Federated Learning on the task of Machine Remaining Useful Life (RUL) prediction, to enhance the trustworthy in the industry. Besides of that, my research focused on Transfer Learning & Domain Adaptation.
Chinese University of Hong Kong, Shenzhen
Intern Supervised by:
Dr. Haifeng Wu
May 2021 - July 2021
I worked as an intern in the Shenzhen Finance Institute (SFI), where I served in Data Analysis and Visualization roles for the City ESG Ratings Research project, responsible for Data cleaning & Processing, Feature Engineering & Visualization, and developing Analysis Workflows, utilized Python, MySQL, Tableau, and Power BI.
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ESG Ratings for China’s Urban Development has been launched!
Education
2022-current
University of Illinois, Urbana-Champaign
The Grainger College of Engineering
M.S. in Industrial Engineering
Advisor: Prof. Grani A. Hanasusanto
2021-2022
Nanyang Technological University, Singapore
School of Physical and Mathematical Science
M.S. in Analytics
Supervisor: Prof. Xiaoli Li
2017-2021
Jinan University
School of Electrical and Information Engineering
B.Eng. in Packaging Engineering