I am an Assistant Professor in the Department of Computer Science at Purdue University. Before that, I was a postdoctoral fellow at Institute for Foundations of Machine Learning. I completed my PhD in Statistics at Cornell University, where I was advised by Chris De Sa.
I am looking for highly motivated students (PhD, MS, undergrads, and interns) to join my lab. If you are interested, feel free to reach out.
I am interested in building scalable, reliable and efficient probabilistic models for machine learning and data science. Currently, I focus on developing fast and robust sampling and probabilistic inference methods with theoretical guarantees and their applications with deep neural networks on real-world big data.
Bolian Li, Ruqi Zhang Preprint, 2023 [Paper]
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Yiqun Xie, Ruqi Zhang, Dongkuan Xu International Conference on Computer Vision (ICCV), 2023 [Paper][Code]
Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2023 Short Version at ICML Workshop on Sampling and Optimization in Discrete Space, 2023 [Paper][Code]
Bolian Li, Ruqi Zhang Symposium on Advances in Approximate Bayesian Inference (AABI), 2023 [Paper]
Tunazzina Islam, Ruqi Zhang, Dan Goldwasser AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 Oral Presentation, top 11% [Paper]
Wanrong Zhang, Ruqi Zhang International Conference on Machine Learning (ICML), 2023 [Paper][Code]
Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K Mallick International Conference on Learning Representations (ICLR), 2023 [Paper][Code]
Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 [Paper][Code]
Ziyu Wang, Yuhao Zhou, Ruqi Zhang, Jun Zhu ICBINB Workshop @ NeurIPS, 2022 [Paper]
Ruqi Zhang, Qiang Liu, Xin T. Tong Neural Information Processing Systems (NeurIPS), 2022 [Paper][Code]
Ruqi Zhang, Xingchao Liu, Qiang Liu International Conference on Machine Learning (ICML), 2022 [Paper] [Code][Video][Slides]
Ruqi Zhang, Andrew Gordon Wilson, Christopher De Sa International Conference on Machine Learning (ICML), 2022 [Paper] [Code][Video][Slides]
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 [Paper]
Ruqi Zhang, A. Feder Cooper, Christopher De Sa Neural Information Processing Systems (NeurIPS), 2020 Spotlight Presentation, top 3% [Paper][Code][Video][Slides]
Ruqi Zhang, A. Feder Cooper, Christopher De Sa International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [Paper] [Code]
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson International Conference on Learning Representations (ICLR), 2020 Oral Presentation, top 2% [Paper] [Code][Video][Slides] [BlackJAX Implementation]
Ruqi Zhang, Christopher De Sa Neural Information Processing Systems (NeurIPS), 2019 Spotlight Presentation, top 2.5% [Paper] [Code] [Poster] [Slides]
Ruqi Zhang, Zhiwu Lu International Joint Conference on Artificial Intelligence (IJCAI), 2016 [Paper]
Invited talk at ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling, July 2023 [Video (my talk starts at 5:32:25)][Slides]
Center for Data Science and Machine Learning, National University of Singapore, October 2022 Invited talk at Simons Institute, UC Berkeley, November 2021 [Video][Slides]
Spotlight talk in Rising Stars in Data Science Workshop at University of Chicago, January 2021 Spotlight presentation at NeurIPS, December 2020 [Video][Slides]
Spotlight presentation at NeurIPS, December 2019 [Slides]
