Michael Yu Wang

7 papers · 2019–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer

Venues

ECCV (3) CoRL (1) CVPR (1) ICCV (1) NeurIPS (1)

Top co-authors

Liqiang Nie (2) Xiang Deng (2) Junhao Cai (2) Jun CEN (2) Qi Lv (2) Ming Liu (2) Peng Yun (2) Yinchuan Li (1) Bo Dai (1) Jingbo Wang (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Core AI (4) Core Methods (4) Deep Learning (3) Learning Types · Machine Learning (3) Reinforcement Learning (2) Architectures (2) Methods (2) Robotics (1) Applications (1) Capabilities (1) Learning Types · Deep Learning (1)

Keywords

sequence modeling (1) semantic segmentation (1) few-shot learning (1) offline reinforcement learning (1) temporal modeling (1) imitation learning (1) grasp planning (1) policy learning (1) temporal information (1) deep learning (1) robot control (1) state space model (1) mamba architecture (1) self-evolving policy (1) noisy demonstration (1) out-of-distribution detection (1) deep metric learning (1) diffusion policy (1) tactile sensing (1) contrastive clustering (1)

Papers

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting ECCV 2024 Open-World Semantic Segmentation for LIDAR Point Clouds ECCV 2022 Deep Metric Learning for Open World Semantic Segmentation ICCV 2021 PiP: Planning-informed Trajectory Prediction for Autonomous Driving ECCV 2020 Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors CoRL 2019