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Haoran Liu

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Everything Perturbed All at Once: Enabling Differentiable Graph Attacks

Aug 29, 2023
Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee

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Pulse shape discrimination based on the Tempotron: a powerful classifier on GPU

May 26, 2023
Haoran Liu, Peng Li, Ming-Zhe Liu, Kai-Ming Wang, Zhuo Zuo, Bing-Qi Liu

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Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling

Apr 08, 2023
Yulin Liu, Haoran Liu, Yingda Yin, Yang Wang, Baoquan Chen, He Wang

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UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy

Mar 02, 2023
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

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FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting

Dec 02, 2022
Maowei Jiang, Pengyu Zeng, Kai Wang, Huan Liu, Wenbo Chen, Haoran Liu

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Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models

Oct 11, 2022
Meng Liu, Haoran Liu, Shuiwang Ji

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Learning Protein Representations via Complete 3D Graph Networks

Jul 26, 2022
Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

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ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs

Jun 17, 2022
Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji

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Exploring the Common Principal Subspace of Deep Features in Neural Networks

Oct 06, 2021
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou

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DIG: A Turnkey Library for Diving into Graph Deep Learning Research

Mar 23, 2021
Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji

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