Guo, Minghao

15 publications

ICCV 2025 A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation Rongtao Xu, Jian Zhang, Minghao Guo, Youpeng Wen, Haoting Yang, Min Lin, Jianzheng Huang, Zhe Li, Kaidong Zhang, Liqiong Wang, Yuxuan Kuang, Meng Cao, Feng Zheng, Xiaodan Liang

NeurIPS 2025 FlashBias: Fast Computation of Attention with Bias Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long

NeurIPS 2025 Post Hoc Regression Refinement via Pairwise Rankings Kevin Tirta Wijaya, Michael Sun, Minghao Guo, Hans-peter Seidel, Wojciech Matusik, Vahid Babaei

ICLR 2025 Procedural Synthesis of Synthesizable Molecules Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor W. Coley, Wojciech Matusik

NeurIPS 2025 RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills Chunru Lin, Haotian Yuan, Yian Wang, Xiaowen Qiu, Tsun-Hsuan Wang, Minghao Guo, Bohan Wang, Yashraj Narang, Dieter Fox, Chuang Gan

ICLR 2025 TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes Minghao Guo, Bohan Wang, Kaiming He, Wojciech Matusik

ICML 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

NeurIPSW 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik

ICML 2024 Representing Molecules as Random Walks over Interpretable Grammars Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J Pedretti, Zachary P Smith, Jie Chen, Wojciech Matusik

ICML 2023 Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik

ICLR 2022 Data-Efficient Graph Grammar Learning for Molecular Generation Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik

CVPR 2021 Towards Evaluating and Training Verifiably Robust Neural Networks Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

ECCV 2018 Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking Minghao Guo, Jiwen Lu, Jie Zhou

ICCVW 2017 Combining Exemplar-Based Approach and Learning-Based Approach for Light Field Super-Resolution Using a Hybrid Imaging System Haitian Zheng, Minghao Guo, Haoqian Wang, Yebin Liu, Lu Fang