| 2026 | COLT | On Randomized Algorithms in Online Strategic Classification. | Chase Hutton, Adam Melrod, Han Shao |
| 2025 | ICML | Should Decision-Makers Reveal Classifiers in Online Strategic Classification? | Han Shao, Shuo Xie, Kunhe Yang |
| 2024 | COLT | Learnability Gaps of Strategic Classification. | Lee Cohen, Yishay Mansour, Shay Moran, Han Shao |
| 2024 | IECON | Comparing Deep Neural Networks for 1D Multi-Label Power Quality Disturbance Classification: ResNet, MobileNet, and DenseNet. | Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi |
| 2022 | CHI | Are You Tired? I am: Trying to Understand Privacy Fatigue of Social Media Users. | Han Shao, Xiang Li, Guodi Wang |
| 2021 | CHI | Do I Prefer It?: The Role of Cultural Heuristics in Chinese Citizens' Attitudes to COVID-19 Rumors. | Han Shao |
| 2021 | COLT | Robust learning under clean-label attack. | Avrim Blum, Steve Hanneke, Jian Qian, Han Shao |
| 2021 | ICML | One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning. | Avrim Blum, Nika Haghtalab, Richard Lanas Phillips, Han Shao |
| 2020 | ICML | Structure Adaptive Algorithms for Stochastic Bandits. | Rmy Degenne, Han Shao, Wouter M. Koolen |
| 2018 | UAI | Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. | Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King |