Miao Liu

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

Achievements

+13 more ↓

🏃 Academic Marathon (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (11)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🏃 Academic Marathon (13) 👥 Mega-Team (100) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (3) 📈 Trend Setter 🗃️ Keyword Collector (148) 💎 Century Club (43) 🚀 Conference Pioneer ⚡ Prolific Year (5) 🔥 Unstoppable (9)

Conferences

CVPR (7) ECCV (6) AAAI (5) ICLR (5) ICML (4) NIPS (4) IJCAI (3) ACL (2) INTERSPEECH (2) 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

egocentric video (6) video understanding (5) multimodal learning (5) multimodal large language model (4) reinforcement learning (4) option learning (3) temporal abstraction (3) multi-agent reinforcement learning (3) hierarchical reinforcement learning (3) multiagent reinforcement learning (3) policy gradient (2) large language model (2) policy optimization (2) temporal reasoning (2) spatial reasoning (2) activity recognition (2) dialogue system (2) natural language processing (1) dirichlet process (1) computer vision (1)

Papers

ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos WACV 2026 Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning ACL 2026 A Generalist Hanabi Agent ICLR 2025 Position: Theory of Mind Benchmarks are Broken for Large Language Models ICML 2025 Evaluating the Prompt Steerability of Large Language Models NAACL 2025 X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding EMNLP 2025 Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs CVPR 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 Q-function Decomposition with Intervention Semantics for Factored Action Spaces AISTATS 2025 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation ECCV 2024 Motion Based Audio-Visual Segmentation INTERSPEECH 2024 BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation CVPR 2024 The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective CVPR 2024 Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives CVPR 2024 ComVas: Contextual Moral Values Alignment System IJCAI 2024 LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning ECCV 2024 On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 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 Werewolf Among Us: Multimodal Resources for Modeling Persuasion Behaviors in Social Deduction Games ACL 2023 Local Explanations for Reinforcement Learning AAAI 2023 Generative Adversarial Network for Future Hand Segmentation from Egocentric Video 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 Egocentric Activity Recognition and Localization on a 3D Map 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 RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) AAAI 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video ECCV 2020 On the Role of Weight Sharing During Deep Option Learning AAAI 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 Eigenoption Discovery through the Deep Successor Representation ICLR 2018 In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video ECCV 2018 Stick-Breaking Policy Learning in Dec-POMDPs IJCAI 2015 Online Expectation Maximization for Reinforcement Learning in POMDPs IJCAI 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NIPS 2013