Haonan Duan

Department of Computer Science, University of Toronto

Vector Institute

Contact: haonand [at] cs [dot] toronto [dot] edu

I am a second-year PhD student in computer science at the University of Toronto, supervised by Prof. Chris Maddison and Prof. Nicolas Papernot. I am interested in broad areas of deep learning. My previous works focus on learning representations that can reason complex tasks and that are trustworthy for humans. Beforehand, I completed my MMath and BMath in computer science at the University of Waterloo, supervised by Prof. Pascal Poupart.

Papers

Dataset Inference for Self-Supervised Models
Adam Dziedzic*, Haonan Duan*, Muhammad Ahmad Kaleem*, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot
Conference on Neural Information Processing Systems (NeurIPS), 2022.
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan*, Pashootan Vaezipoor*, Max B. Paulus, Yangjun Ruan, Chris J. Maddison
International Conference on Machine Learning (ICML), 2022.
[paper ]

Distributional Reinforcement Learning with Monotonic Splines
Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart
International Conference on Learning Representations (ICLR), 2022
[paper ]

Multiple Moment Matching Inference: A Flexible Approximate Inference Algorithm
Haonan Duan, Pascal Poupart
ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning
[paper ]

Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan*, Saeed Nejati*, George Trimponias, Pascal Poupart and Vijay Ganesh
International Conference on Machine Learning (ICML), 2020.
[paper ]

Discriminative Training of Feed-Forward and Recurrent Sum-Product Networks by Extended Baum-Welch
Haonan Duan, Abdullah Rashwan, Pascal Poupart and Zhitang Chen
International Journal of Approximate Reasoning (IJAR), Volume 124, September 2020, Pages 66-81
[paper ][link ]

* below indicates equal contribution

Service

Conference reviewer: ICLR (2020-2023), ICML(2021-2023), NeurIPS(2021-2023), AISTATS(2022)

Industry Experience

Software Engineer Intern @ Uber Jan. 2021 - Apr. 2021
Data Scientist Intern @ Thomson Reuters May. 2020 - Aug. 2021

Selected Honors & Awards

I am grateful for the organizations and people below to support my study and research: