Liu, Haolin

17 publications

ICLR 2026 An Improved Model-Free Decision-Estimation Coefficient with Applications in Adversarial MDPs Haolin Liu, Chen-Yu Wei, Julian Zimmert

ICLR 2026 CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu

COLT 2025 Decision Making in Hybrid Environments: A Model Aggregation Approach Haolin Liu, Chen-Yu Wei, Zimmert Julian

AAAI 2025 Sample Complexity of Linear Regression Models for Opinion Formation in Networks Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram, Anil Kumar S. Vullikanti, Omer Wasim, Haifeng Xu

CVPR 2025 Stable-SCore: A Stable Registration-Based Framework for 3D Shape Correspondence Haolin Liu, Xiaohang Zhan, Zizheng Yan, Zhongjin Luo, Yuxin Wen, Xiaoguang Han

ICCV 2025 Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion Mutian Xu, Chongjie Ye, Haolin Liu, Yushuang Wu, Jiahao Chang, Xiaoguang Han

ICCV 2025 Unleashing Vecset Diffusion Model for Fast Shape Generation Zeqiang Lai, Yunfei Zhao, Zibo Zhao, Haolin Liu, Fuyun Wang, Huiwen Shi, Xianghui Yang, Qingxiang Lin, Jingwei Huang, Yuhong Liu, Jie Jiang, Chunchao Guo, Xiangyu Yue

NeurIPS 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert

NeurIPS 2024 Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification Haolin Liu, Artin Tajdini, Andrew Wagenmaker, Chen-Yu Wei

CVPR 2024 LASA: Instance Reconstruction from Real Scans Using a Large-Scale Aligned Shape Annotation Dataset Haolin Liu, Chongjie Ye, Yinyu Nie, Yingfan He, Xiaoguang Han

ICLR 2024 Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback Haolin Liu, Chen-Yu Wei, Julian Zimmert

NeurIPS 2023 Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu, Chen-Yu Wei, Julian Zimmert

CVPR 2023 MVImgNet: A Large-Scale Dataset of Multi-View Images Xianggang Yu, Mutian Xu, Yidan Zhang, Haolin Liu, Chongjie Ye, Yushuang Wu, Zizheng Yan, Chenming Zhu, Zhangyang Xiong, Tianyou Liang, Guanying Chen, Shuguang Cui, Xiaoguang Han

ECCV 2022 TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han

ECCV 2022 Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, Xiaoguang Han

CVPR 2021 Refer-It-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD Images Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui

AAAI 2020 Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition Shiming Ge, Kangkai Zhang, Haolin Liu, Yingying Hua, Shengwei Zhao, Xin Jin, Hao Wen