Deep neural networks for improved, impromptu trajectory tracking of quadrotors. - Qiyang Li; Jingxing Qian; Zining Zhu 001; Xuchan Bao; Mohamed K. Helwa; Angela P. Schoellig (ICRA, 2017)

Learning of Coordination Policies for Robotic Swarms. - Qiyang Li; Xintong Du; Yizhou Huang; Quinlan Sykora; Angela P. Schoellig (CoRR, 2017)

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. - Sicong Huang 001; Qiyang Li; Cem Anil; Xuchan Bao; Sageev Oore; Roger B. Grosse (ICLR (Poster), 2019)

Building a Winning Self-Driving Car in Six Months. - Keenan Burnett; Andreas Schimpe; Sepehr Samavi; Mona Gridseth; Chengzhi Winston Liu; Qiyang Li; Zachary Kroeze; Angela P. Schoellig (ICRA, 2019)

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. - Qiyang Li; Saminul Haque; Cem Anil; James Lucas; Roger B. Grosse; Jörn-Henrik Jacobsen (NeurIPS, 2019)

Exclusive vs. competitive retailing: Overseas vaccine supplier's channel selection considering profit and social responsibility objectives. - Baozhuang Niu; Qiyang Li; Lei Chen 060 (Comput. Ind. Eng., 2020)

Offline Reinforcement Learning as One Big Sequence Modeling Problem. - Michael Janner; Qiyang Li; Sergey Levine (NeurIPS, 2021)

Reinforcement Learning as One Big Sequence Modeling Problem. - Michael Janner; Qiyang Li; Sergey Levine (CoRR, 2021)

Prediction of Transaction Risk in Financial Market Based on Neural Network Model. - Qiyang Li (ICATCI (1), 2022)

AdaCat: Adaptive categorical discretization for autoregressive models. - Qiyang Li; Ajay Jain; Pieter Abbeel (UAI, 2022)

Efficient Deep Reinforcement Learning Requires Regulating Overfitting. - Qiyang Li; Aviral Kumar; Ilya Kostrikov; Sergey Levine (ICLR, 2023)

Understanding the Complexity Gains of Single-Task RL with a Curriculum. - Qiyang Li; Yuexiang Zhai; Yi Ma 001; Sergey Levine (ICML, 2023)

Accelerating Exploration with Unlabeled Prior Data. - Qiyang Li; Jason Zhang; Dibya Ghosh; Amy Zhang 001; Sergey Levine (NeurIPS, 2023)

Will you stick to a high-quality collecting standard? order fulfillment vs. limited supply in diseconomy-cost-mattered remanufacturing operations. - Fanzhuo Zeng; Baozhuang Niu; Zhiyuan Qi; Jianhua Zhang; Yong Jin; Qiyang Li (Comput. Ind. Eng., 2023)

Information advantage and payment disadvantage when selling goods through a powerful retailer. - Baozhuang Niu; Zifan Shen; Qiyang Li (Ann. Oper. Res., 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR). - Jiangwen Chen; Kou Guang; Huang Yan; Qiyang Li; Tan Hao (ICDM, 2024)

REFACTOR: Learning to Extract Theorems from Proofs. - Jin Peng Zhou; Yuhuai Wu; Qiyang Li; Roger Baker Grosse (ICLR, 2024)

Learning Visuotactile Skills with Two Multifingered Hands. - Toru Lin; Yu Zhang; Qiyang Li; Haozhi Qi; Brent Yi; Sergey Levine; Jitendra Malik (CoRR, 2024)

LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. - Rui Kong; Qiyang Li; Xinyu Fang; Qingtian Feng; Qingfeng He; Yazhu Dong; Weijun Wang 001; Yuanchun Li; Linghe Kong; Yunxin Liu 001 (CoRR, 2024)

Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration. - Max Wilcoxson; Qiyang Li; Kevin Frans; Sergey Levine (CoRR, 2024)

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning. - Charles Xu 003; Qiyang Li; Jianlan Luo; Sergey Levine (CoRR, 2024)

Improved RRT global path planning algorithm based on Bridge Test. - Haiyan Tu; Yizhao Deng; Qiyang Li; Mingjun Song; Xiujuan Zheng (Robotics Auton. Syst., 2024)

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data. - Zhiyuan Zhou; Andy Peng; Qiyang Li; Sergey Levine; Aviral Kumar (ICLR, 2025)

Ensemble learning unlocking point load forecasting accuracy: A novel framework based on two-stage data preprocessing and improved multi-objective optimisation strategy. - Jingmin Luan; Qiyang Li; Yuyan Qiu; Weican Liu (Comput. Electr. Eng., 2025)

Flow Q-Learning. - Seohong Park; Qiyang Li; Sergey Levine (CoRR, 2025)

Reinforcement Learning with Action Chunking. - Qiyang Li; Zhiyuan Zhou; Sergey Levine (CoRR, 2025)

EXPO: Stable Reinforcement Learning with Expressive Policies. - Perry Dong; Qiyang Li; Dorsa Sadigh; Chelsea Finn (CoRR, 2025)