Haonan Duan

Department of Computer Science, University of Toronto

Vector Institute

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

[CV]

• 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.
  [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]
  
  

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