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MDM: Molecular Diffusion Model for 3D Molecule Generation


Sep 13, 2022
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

* Submitted to AAAI'23 

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Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models


Jun 16, 2022
Wei Shao, Lei Huang, Shuqi Liu, Shihua Ma, Linqi Song

* IJCNN 2022 

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Bi-level Doubly Variational Learning for Energy-based Latent Variable Models


Mar 24, 2022
Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi

* CVPR 2022 

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Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective


Mar 21, 2022
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

* Accepted to CVPR2022 

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Delving into the Estimation Shift of Batch Normalization in a Network


Mar 21, 2022
Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu

* Accepted to CVPR 2022. The Code is available at: https://github.com/huangleiBuaa/XBNBlock 

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Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding


Oct 27, 2021
Tengwei Song, Jie Luo, Lei Huang

* 10 pages, 6 figures, to be published in NeurIPS 2021 

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Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression


Jul 12, 2021
Shaowu Chen, Jiahao Zhou, Weize Sun, Lei Huang

* Code is publicly available on GitHub: https://github.com/ShaowuChen/JointSVD 

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KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks


Jul 04, 2021
J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian Foster, Zhao Zhang

* To be published in the proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) 

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One-bit Spectrum Sensing with the Eigenvalue Moment Ratio Approach


Apr 08, 2021
Yuan Zhao, Xiaochuan Ke, Bo Zhao, Yuhang Xiao, Lei Huang

* 5 pages, 3 figures, 1 table. To be submitted to IEEE wireless communication letters for possible publishing 

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