Haonan Duan

About Me

I am a PhD candidate in computer science at the University of Toronto, supervised by Prof. Chris Maddison and Prof. Nicolas Papernot. I am interested in broad areas of machine learning. My current research focuses on AI for science and trustworthy ML. Beforehand, I completed my MMath and BMath in computer science at the University of Waterloo, supervised by Prof. Pascal Poupart.

Papers

Preprints & Workshop Papers

• PAIR: Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations
  Haonan Duan*, Marta Skreta*, Leonardo Cotta, Ella Miray Rajaonson, Nikita Dhawan, Alan Aspuru-Guzik, Chris J. Maddison
  ICML 2024 AI for Science Workshop
• Meta-Designing Quantum Experiments with Language Models
  Soeren Arlt, Haonan Duan, Felix Li, Sang Michael Xie, Yuhuai Wu, Mario Krenn
  ICML 2024 AI for Science Workshop
• On the privacy risk of in-context learning
  Haonan Duan, Adam Dziedzic, Mohammad Yaghini, Nicolas Papernot, Franziska Boenisch
  ACL 2023 Trustworthy NLP Workshop

Published Papers

• Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
  Haonan Duan*, Adam Dziedzic*, Nicolas Papernot, Franziska Boenisch
  Conference on Neural Information Processing Systems (NeurIPS), 2023
• 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
• Distributional Reinforcement Learning with Monotonic Splines
  Yudong Luo, Guiliang Liu, Haonan Duan, Oliver Schulte, Pascal Poupart
  International Conference on Learning Representations (ICLR), 2022
• 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
• 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