Liu, Haoran

11 publications

AAAI 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min

CoRL 2024 DexGraspNet 2.0: Learning Generative Dexterous Grasping in Large-Scale Synthetic Cluttered Scenes Jialiang Zhang, Haoran Liu, Danshi Li, XinQiang Yu, Haoran Geng, Yufei Ding, Jiayi Chen, He Wang

AAAI 2024 DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels Haoran Liu, Ying Ma, Ming Yan, Yingke Chen, Dezhong Peng, Xu Wang

CVPR 2023 Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling Yulin Liu, Haoran Liu, Yingda Yin, Yang Wang, Baoquan Chen, He Wang

ICLR 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu, Haoran Liu, Shuiwang Ji

ICLR 2023 Learning Hierarchical Protein Representations via Complete 3D Graph Networks Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

NeurIPSW 2023 Topological and Temporal Data Augmentation for Temporal Graph Networks Haoran Liu, Jianling Wang, Kaize Ding, James Caverlee

CVPR 2023 UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, Tengyu Liu, Li Yi, He Wang

NeurIPS 2022 ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji

MLJ 2022 Exploring the Common Principal Subspace of Deep Features in Neural Networks Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu

MLOSS 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora M Oztekin, Xuan Zhang, Shuiwang Ji