| 2025 | ICLR | Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. | DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng |
| 2025 | ICML | Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. | DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng |
| 2024 | ICLR | Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. | Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum |
| 2023 | ICLR | Latent State Marginalization as a Low-cost Approach for Improving Exploration. | Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen |
| 2023 | ICML | Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. | Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover |
| 2022 | ICML | Online Decision Transformer. | Qinqing Zheng, Amy Zhang, Aditya Grover |
| 2021 | AISTATS | Federated f-Differential Privacy. | Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su |
| 2021 | ICML | Near-Optimal Confidence Sequences for Bounded Random Variables. | Arun K. Kuchibhotla, Qinqing Zheng |
| 2020 | ICML | Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. | Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su |