Qiyang Li - RankMe

49 papers A* 15A 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization. AAAI Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026	J	`jnl`	AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization. CoRR Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026	J	`jnl`	DPCA-Net: Dual-Prototype Consistency Alignment Network for Robust Multimodal Few-Shot Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Xiaohui Zhao, Xiangyu Meng, Qiyang Li, Xingwang Cai, Deyin Ma, Xiaohu Shi
2026	J	`jnl`	FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding. CoRR Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin
2026	J	`jnl`	Non-intrusive three-phase load monitoring based on deep feature fusion and recursive interpretable screening. Appl. Soft Comput. Mao Tan, Qiyang Li, Zibin Li, Xinwei Lv, Jinling Chen, Wei Liu
2026	J	`jnl`	Online performance evaluation of a four-degree-of-freedom musculoskeletal model based on muscle synergy. Biomed. Signal Process. Control. Yang Zhang, Yue Yang, Chaofan Wang, Qiyang Li, Jinhua Li, Jianmin Li, Lizhi Pan
2026	J	`jnl`	Q-learning with Adjoint Matching. CoRR Qiyang Li, Sergey Levine
2025	J	`jnl`	Decoupled Q-Chunking. CoRR Qiyang Li, Seohong Park, Sergey Levine
2025	J	`jnl`	EXPO: Stable Reinforcement Learning with Expressive Policies. CoRR Perry Dong, Qiyang Li, Dorsa Sadigh, Chelsea Finn
2025	A*	`conf`	Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data. ICLR Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar
2025	J	`jnl`	Ensemble learning unlocking point load forecasting accuracy: A novel framework based on two-stage data preprocessing and improved multi-objective optimisation strategy. Comput. Electr. Eng. Jingmin Luan, Qiyang Li, Yuyan Qiu, Weican Liu
2025	A*	`conf`	Flow Q-Learning. ICML Seohong Park, Qiyang Li, Sergey Levine
2025	J	`jnl`	Flow Q-Learning. CoRR Seohong Park, Qiyang Li, Sergey Levine
2025	A*	`conf`	Learning Visuotactile Skills With Two Multifingered Hands. ICRA Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik
2025	A*	`conf`	Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration. ICML Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine
2025	J	`jnl`	Reinforcement Learning with Action Chunking. CoRR Qiyang Li, Zhiyuan Zhou, Sergey Levine
2024	J	`jnl`	Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data. CoRR Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar
2024	A*	`conf`	Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR). ICDM Jiangwen Chen, Kou Guang, Huang Yan, Qiyang Li, Tan Hao
2024	J	`jnl`	Improved RRT global path planning algorithm based on Bridge Test. Robotics Auton. Syst. Haiyan Tu, Yizhao Deng, Qiyang Li, Mingjun Song, Xiujuan Zheng
2024	J	`jnl`	Learning Visuotactile Skills with Two Multifingered Hands. CoRR Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik
2024	J	`jnl`	Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration. CoRR Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine
2024	J	`jnl`	LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. CoRR Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu
2024	A*	`conf`	OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
2024	A*	`conf`	REFACTOR: Learning to Extract Theorems from Proofs. ICLR Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse
2024	J	`jnl`	REFACTOR: Learning to Extract Theorems from Proofs. CoRR Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger B. Grosse
2024	J	`jnl`	RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning. CoRR Charles Xu, Qiyang Li, Jianlan Luo, Sergey Levine
2023	A*	`conf`	Accelerating Exploration with Unlabeled Prior Data. NeurIPS Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
2023	J	`jnl`	Accelerating Exploration with Unlabeled Prior Data. CoRR Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
2023	A*	`conf`	Efficient Deep Reinforcement Learning Requires Regulating Overfitting. ICLR Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	Information advantage and payment disadvantage when selling goods through a powerful retailer. Ann. Oper. Res. Baozhuang Niu, Zifan Shen, Qiyang Li
2023	A*	`conf`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. ICML Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2023	J	`jnl`	Will you stick to a high-quality collecting standard? order fulfillment vs. limited supply in diseconomy-cost-mattered remanufacturing operations. Comput. Ind. Eng. Fanzhuo Zeng, Baozhuang Niu, Zhiyuan Qi, Jianhua Zhang, Yong Jin, Qiyang Li
2022	J	`jnl`	AdaCat: Adaptive Categorical Discretization for Autoregressive Models. CoRR Qiyang Li, Ajay Jain, Pieter Abbeel
2022	A	`conf`	AdaCat: Adaptive categorical discretization for autoregressive models. UAI Qiyang Li, Ajay Jain, Pieter Abbeel
2022	—	`conf`	Prediction of Transaction Risk in Financial Market Based on Neural Network Model. ICATCI (1) Qiyang Li
2022	J	`jnl`	Understanding the Complexity Gains of Single-Task RL with a Curriculum. CoRR Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine
2021	A*	`conf`	Offline Reinforcement Learning as One Big Sequence Modeling Problem. NeurIPS Michael Janner, Qiyang Li, Sergey Levine
2021	J	`jnl`	Reinforcement Learning as One Big Sequence Modeling Problem. CoRR Michael Janner, Qiyang Li, Sergey Levine
2020	J	`jnl`	Exclusive vs. competitive retailing: Overseas vaccine supplier's channel selection considering profit and social responsibility objectives. Comput. Ind. Eng. Baozhuang Niu, Qiyang Li, Lei Chen
2019	A*	`conf`	Building a Winning Self-Driving Car in Six Months. ICRA Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig
2019	A*	`conf`	Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019	J	`jnl`	Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen
2019	—	`conf`	TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. ICLR (Poster) Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2018	J	`jnl`	Building a Winning Self-Driving Car in Six Months. CoRR Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig
2018	J	`jnl`	TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer. CoRR Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse
2017	A*	`conf`	Deep neural networks for improved, impromptu trajectory tracking of quadrotors. ICRA Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig
2017	J	`jnl`	Learning of Coordination Policies for Robotic Swarms. CoRR Qiyang Li, Xintong Du, Yizhou Huang, Quinlan Sykora, Angela P. Schoellig
2016	J	`jnl`	Deep Neural Networks for Improved, Impromptu Trajectory Tracking of Quadrotors. CoRR Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig