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Miao Liu

43 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (67) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (13) πŸ‘₯ Mega-Team (100) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (148) πŸ’Ž Century Club (43) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ”₯ Unstoppable (9)

Conferences

CVPR (7) ECCV (6) AAAI (5) ICLR (5) ICML (4) NIPS (4) IJCAI (3) INTERSPEECH (2) ACL (1) AISTATS (1) CORL (1) EMNLP (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Matthew Riemer (9) Gerald Tesauro (8) James M. Rehg (8) Bolin Lai (5) Wenqi Jia (5) Fiona Ryan (4) Djallel Bouneffouf (4) Songtao Lu (4) Debarun Bhattacharjya (3) Yin Li (3)

Keywords

multimodal learning (5) video understanding (5) egocentric video (5) reinforcement learning (4) hierarchical reinforcement learning (3) multiagent reinforcement learning (3) multi-agent reinforcement learning (3) temporal abstraction (3) multimodal large language model (3) option learning (3) policy gradient (2) large language model (2) policy optimization (2) temporal reasoning (2) dialogue system (2) activity recognition (2) natural language processing (1) dirichlet process (1) computer vision (1) pose estimation (1)

Papers

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos WACV 2026
A Generalist Hanabi Agent ICLR 2025
X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding EMNLP 2025
Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation CVPR 2025
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs CVPR 2025
Position: Theory of Mind Benchmarks are Broken for Large Language Models ICML 2025
Evaluating the Prompt Steerability of Large Language Models NAACL 2025
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning ECCV 2024
Motion Based Audio-Visual Segmentation INTERSPEECH 2024
ComVas: Contextual Moral Values Alignment System IJCAI 2024
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024
The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective CVPR 2024
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation ECCV 2024
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives CVPR 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games ACL 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks ICLR 2023
Local Explanations for Reinforcement Learning AAAI 2023
Egocentric Activity Recognition and Localization on a 3D Map ECCV 2022
Influencing Long-Term Behavior in Multiagent Reinforcement Learning NIPS 2022
Learning Multi-Objective Curricula for Robotic Policy Learning CORL 2022
Context-Specific Representation Abstraction for Deep Option Learning AAAI 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video CVPR 2022
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video ECCV 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022
BIT-MI Deep Learning-based Model to Non-intrusive Speech Quality Assessment Challenge in Online Conferencing Applications INTERSPEECH 2022
Linearizing contextual bandits with latent state dynamics UAI 2022
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video ECCV 2020
Learning to Teach in Cooperative Multiagent Reinforcement Learning AAAI 2019
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference ICLR 2019
Learning Abstract Options NIPS 2018
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video ECCV 2018
Eigenoption Discovery through the Deep Successor Representation ICLR 2018
Stick-Breaking Policy Learning in Dec-POMDPs IJCAI 2015
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013
Online Expectation Maximization for Reinforcement Learning in POMDPs IJCAI 2013