Liu, Miao

46 publications

ICLR 2025 A Generalist Hanabi Agent Arjun V Sudhakar, Hadi Nekoei, Mathieu Reymond, Miao Liu, Janarthanan Rajendran, Sarath Chandar

CVPR 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu

CVPR 2025 Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu

NeurIPS 2025 In the Eye of MLLM: Benchmarking Egocentric Video Intent Understanding with Gaze-Guided Prompting Taiying Peng, Jiacheng Hua, Miao Liu, Feng Lu

NeurIPS 2025 Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Tian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu

ICML 2025 Position: Theory of Mind Benchmarks Are Broken for Large Language Models Matthew Riemer, Zahra Ashktorab, Djallel Bouneffouf, Payel Das, Miao Liu, Justin D. Weisz, Murray Campbell

AISTATS 2025 Q-Function Decomposition with Intervention Semantics for Factored Action Spaces Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu

CVPR 2025 Unleashing In-Context Learning of Autoregressive Models for Few-Shot Image Manipulation Bolin Lai, Felix Juefei-Xu, Miao Liu, Xiaoliang Dai, Nikhil Mehta, Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, Ning Zhang, Tong Xiao

CVPR 2024 BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

IJCAI 2024 ComVas: Contextual Moral Values Alignment System Inkit Padhi, Pierre L. Dognin, Jesus Rios, Ronny Luss, Swapnaja Achintalwar, Matthew Riemer, Miao Liu, Prasanna Sattigeri, Manish Nagireddy, Kush R. Varshney, Djallel Bouneffouf

CVPR 2024 Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

NeurIPSW 2024 Evaluating the Prompt Steerability of Large Language Models Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Pierre Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu

ECCV 2024 LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning Bolin Lai, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M Rehg, Miao Liu

ECCV 2024 Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation Bolin Lai, Fiona Ryan, Wenqi Jia, Miao Liu, James M Rehg

ICML 2024 SF-DQN: Provable Knowledge Transfer Using Successor Feature for Deep Reinforcement Learning Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang

CVPR 2024 The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective Wenqi Jia, Miao Liu, Hao Jiang, Ishwarya Ananthabhotla, James M. Rehg, Vamsi Krishna Ithapu, Ruohan Gao

NeurIPSW 2023 Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee, Michael Katz, Don Joven Agravante, Miao Liu, Geraud Nangue Tasse, Tim Klinger, Shirin Sohrabi

ICLR 2023 Joint Edge-Model Sparse Learning Is Provably Efficient for Graph Neural Networks Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu

AAAI 2023 Local Explanations for Reinforcement Learning Ronny Luss, Amit Dhurandhar, Miao Liu

ICLR 2023 Mitigating Gradient Bias in Multi-Objective Learning: A Provably Convergent Approach Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

NeurIPS 2023 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury

CoLLAs 2023 Towards Few-Shot Coordination: Revisiting Ad-Hoc Teamplay Challenge in the Game of Hanabi Hadi Nekoei, Xutong Zhao, Janarthanan Rajendran, Miao Liu, Sarath Chandar

AAAI 2022 Context-Specific Representation Abstraction for Deep Option Learning Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How

CVPR 2022 Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolář, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

ECCV 2022 Egocentric Activity Recognition and Localization on a 3D mAP Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li

ECCV 2022 Generative Adversarial Network for Future Hand Segmentation from Egocentric Video Wenqi Jia, Miao Liu, James M. Rehg

ICML 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu

NeurIPS 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How

ICLRW 2022 Influencing Long-Term Behavior in Multiagent Reinforcement Learning Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Nicolaus Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan P How

CoRL 2022 Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue Liu, Jie Fu

NeurIPSW 2022 Learning in Factored Domains with Information-Constrained Visual Representations Tailia Malloy, Chris R Sims, Tim Klinger, Matthew Riemer, Miao Liu, Gerald Tesauro

UAI 2022 Linearizing Contextual Bandits with Latent State Dynamics Elliot Nelson, Debarun Bhattacharjya, Tian Gao, Miao Liu, Djallel Bouneffouf, Pascal Poupart

ICML 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning Dong Ki Kim, Miao Liu, Matthew D Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan How

AAAI 2021 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims

ECCV 2020 Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video Miao Liu, Siyu Tang, Yin Li, James M. Rehg

AAAI 2020 On the Role of Weight Sharing During Deep Option Learning Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

ICLR 2019 Learning to Learn Without Forgetting by Maximizing Transfer and Minimizing Interference Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, and Gerald Tesauro

AAAI 2019 Learning to Teach in Cooperative Multiagent Reinforcement Learning Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How

ICLR 2018 Eigenoption Discovery Through the Deep Successor Representation Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

ECCV 2018 In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video Yin Li, Miao Liu, James M. Rehg

NeurIPS 2018 Learning Abstract Options Matthew Riemer, Miao Liu, Gerald Tesauro

AAAI 2016 Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments Miao Liu, Christopher Amato, Emily P. Anesta, John Daniel Griffith, Jonathan P. How

IJCAI 2015 Stick-Breaking Policy Learning in Dec-POMDPs Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How

NeurIPS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P How, Lawrence Carin

IJCAI 2013 Online Expectation Maximization for Reinforcement Learning in POMDPs Miao Liu, Xuejun Liao, Lawrence Carin

ICML 2011 The Infinite Regionalized Policy Representation Miao Liu, Xuejun Liao, Lawrence Carin