| Online decision transformer Q Zheng, A Zhang, A Grover International Conference on Machine Learning 162, 27042--27059, 2022 | 348 | 2022 |
| The llama 4 herd: The beginning of a new era of natively multimodal ai innovation AI Meta https://ai. meta. com/blog/llama-4-multimodal-intelligence/, checked on 4 (7 …, 2025 | 249 | 2025 |
| A convergent gradient descent algorithm for rank minimization and semidefinite programming from random linear measurements Q Zheng, J Lafferty Advances in Neural Information Processing Systems (NeurIPS), 109--117, 2015 | 238 | 2015 |
| Convergence analysis for rectangular matrix completion using Burer-Monteiro factorization and gradient descent Q Zheng, J Lafferty arXiv preprint arXiv:1605.07051, 2016 | 208 | 2016 |
| Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping L Lehnert, S Sukhbaatar, DJ Su, Q Zheng, P Mcvay, M Rabbat, Y Tian COLM 2024, 2024 | 93* | 2024 |
| Federated f-differential privacy Q Zheng, S Chen, Q Long, W Su AISTATS 2021, 2021 | 90 | 2021 |
| Guided flows for generative modeling and decision making Q Zheng, M Le, N Shaul, Y Lipman, A Grover, RTQ Chen arXiv preprint arXiv:2311.13443, 2023 | 74 | 2023 |
| d1: Scaling reasoning in diffusion large language models via reinforcement learning S Zhao, D Gupta, Q Zheng, A Grover NeurIPS 2025, 2025 | 64 | 2025 |
| Dual RL: Unification and New Methods for Reinforcement and Imitation Learning H Sikchi, Q Zheng, A Zhang, S Niekum ICLR 2024, 2023 | 63* | 2023 |
| Diffusion world model: Future Modeling Beyond Step-by-Step Rollout for Offline Reinforcement Learning Z Ding, A Zhang, Y Tian, Q Zheng arXiv preprint arXiv:2402.03570, 2024 | 55* | 2024 |
| Dualformer: Controllable fast and slow thinking by learning with randomized reasoning traces DJ Su, S Sukhbaatar, M Rabbat, Y Tian, Q Zheng ICLR 2025, 2024 | 44 | 2024 |
| Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? S Chen, Q Zheng, Q Long, WJ Su JMLR, 2023 | 43* | 2023 |
| Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning DJ Su, H Zhu, Y Xu, J Jiao, Y Tian, Q Zheng ICML 2025, 2025 | 40 | 2025 |
| Semi-supervised offline reinforcement learning with action-free trajectories Q Zheng, M Henaff, B Amos, A Grover ICML 2023, 2023 | 32 | 2023 |
| Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion Q Zheng, J Dong, Q Long, WJ Su ICML 2020, 2020 | 27 | 2020 |
| Interpolating convex and non-convex tensor decompositions via the subspace norm Q Zheng, R Tomioka NeurIPS 2015, 2015 | 18 | 2015 |
| Latent state marginalization as a low-cost approach for improving exploration D Zhang, A Courville, Y Bengio, Q Zheng, A Zhang, RTQ Chen ICLR 2023, 2022 | 14 | 2022 |
| Reliable conditioning of behavioral cloning for offline reinforcement learning T Nguyen, Q Zheng, A Grover arXiv preprint arXiv:2210.05158, 2022 | 11* | 2022 |
| Near-Optimal Confidence Sequences for Bounded Random Variables AK Kuchibhotla, Q Zheng ICML 2021, 2021 | 11 | 2021 |
| Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback Q Zheng, M Henaff, A Zhang, A Grover, B Amos RLC 2025, 2024 | 10 | 2024 |
Aditya GroverCo-founder & CTO, Inception | Prof, UCLA | PhD, StanfordVerified email at cs.ucla.edu
