Li, Anqi

15 publications

ICLR 2026 Embodied Navigation Foundation Model Jiazhao Zhang, Anqi Li, Yunpeng Qi, Minghan Li, Jiahang Liu, Shaoan Wang, Haoran Liu, Gengze Zhou, Yuze Wu, Xingxing Li, Yuxin Fan, Wenjun Li, Zhibo Chen, Fei Gao, Qi Wu, Zhizheng Zhang, He Wang

ICLR 2026 On the Tension Between Optimality and Adversarial Robustness in Policy Optimization Haoran Li, Jiayu Lv, Congying Han, Zicheng Zhang, Anqi Li, Yan Liu, Tiande Guo, Nan Jiang

NeurIPS 2025 FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models Jintao Tong, Wenwei Jin, Pengda Qin, Anqi Li, Yixiong Zou, Yuhong Li, Yuhua Li, Ruixuan Li

ICLR 2025 HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

ICLR 2025 Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation Anqi Li, Feng Li, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai

NeurIPS 2025 Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability Wenzhao Liu, Haoran Li, Congying Han, Zicheng Zhang, Anqi Li, Tiande Guo

ICML 2025 Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning Before Coding? Ren-Biao Liu, Anqi Li, Chaoding Yang, Hui Sun, Ming Li

CVPR 2025 SAM-REF: Introducing Image-Prompt Synergy During Interaction for Detail Enhancement in the Segment Anything Model Chongkai Yu, Ting Liu, Anqi Li, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

CoRL 2025 TrackVLA: Embodied Visual Tracking in the Wild Shaoan Wang, Jiazhao Zhang, Minghan Li, Jiahang Liu, Anqi Li, Kui Wu, Fangwei Zhong, Junzhi Yu, Zhizheng Zhang, He Wang

ICML 2024 BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images Sandesh Adhikary, Anqi Li, Byron Boots

ICML 2023 MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations Anqi Li, Byron Boots, Ching-An Cheng

NeurIPS 2023 Survival Instinct in Offline Reinforcement Learning Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

ICMLW 2023 Survival Instinct in Offline Reinforcement Learning and Implicit Human Bias in Data Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

L4DC 2020 Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan Ratliff

CoRL 2019 Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations M. Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan Ratliff