Yin, Hang

18 publications

CoRL 2025 BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities Yunfan Jiang, Ruohan Zhang, Josiah Wong, Chen Wang, Yanjie Ze, Hang Yin, Cem Gokmen, Shuran Song, Jiajun Wu, Li Fei-Fei
CoRL 2025 GC-VLN: Instruction as Graph Constraints for Training-Free Vision-and-Language Navigation Hang Yin, Haoyu Wei, Xiuwei Xu, Wenxuan Guo, Jie Zhou, Jiwen Lu
ICCV 2025 IGL-Nav: Incremental 3D Gaussian Localization for Image-Goal Navigation Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu
CoRL 2025 MoTo: A Zero-Shot Plug-in Interaction-Aware Navigation for General Mobile Manipulation Zhenyu Wu, Angyuan Ma, Xiuwei Xu, Hang Yin, Yinan Liang, Ziwei Wang, Jiwen Lu, Haibin Yan
NeurIPS 2025 Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding Hang Yin, Xiaomin He, Peiwen Yuan, Yiwei Li, Jiayi Shi, Wenxiao Fan, Shaoxiong Feng, Kan Li
CVPR 2025 UniGoal: Towards Universal Zero-Shot Goal-Oriented Navigation Hang Yin, Xiuwei Xu, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu
NeurIPS 2024 Lambda: Learning Matchable Prior for Entity Alignment with Unlabeled Dangling Cases Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
TMLR 2024 Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic
ICLR 2024 Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors Hang Yin, Zihao Wang, Yangqiu Song
NeurIPS 2024 SG-Nav: Online 3D Scene Graph Prompting for LLM-Based Zero-Shot Object Navigation Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu
AAAI 2024 Scalable Motion Style Transfer with Constrained Diffusion Generation Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman
WACV 2023 Dance Style Transfer with Cross-Modal Transformer Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman
ECML-PKDD 2023 Learning Geometric Representations of Objects via Interaction Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
ICML 2022 Geometric Multimodal Contrastive Representation Learning Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
AAAI 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection Yifei Ming, Hang Yin, Yixuan Li
ICMLW 2022 On the Subspace Structure of Gradient-Based Meta-Learning Gustaf Tegnér, Alfredo Reichlin, Hang Yin, Mårten Björkman, Danica Kragic Jensfelt
AAAI 2017 Associate Latent Encodings in Learning from Demonstrations Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva
IJCAI 2016 Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations Hang Yin, Patrícia Alves-Oliveira, Francisco S. Melo, Aude Billard, Ana Paiva