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Wei Hu

Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction


Sep 05, 2021
Kailong Hao, Botao Yu, Wei Hu

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* Accepted in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) 
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Score-Based Point Cloud Denoising


Aug 15, 2021
Shitong Luo, Wei Hu

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* Accepted to ICCV 2021 
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RGB Image Classification with Quantum Convolutional Ansaetze


Jul 23, 2021
Yu Jing, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Xiaogang Li, Hua Xu

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Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning


Jul 05, 2021
Bi'an Du, Xiang Gao, Wei Hu, Xin Li

* Accepted to ACM MM 2021 
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning


Jun 29, 2021
Nikunj Saunshi, Arushi Gupta, Wei Hu

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* In proceedings of ICML 2021 
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Near-Optimal Linear Regression under Distribution Shift


Jun 23, 2021
Qi Lei, Wei Hu, Jason D. Lee

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* ICML 2021 
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Knowing the No-match: Entity Alignment with Dangling Cases


Jun 04, 2021
Zequn Sun, Muhao Chen, Wei Hu

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* ACL 2021 
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Self-Supervised Graph Representation Learning via Topology Transformations


May 25, 2021
Xiang Gao, Wei Hu, Guo-Jun Qi

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Generic Reversible Visible Watermarking Via Regularized Graph Fourier Transform Coding


May 18, 2021
Wenfa Qi, Wei Hu, Sirui Guo, Zongming Guo, Xiang Wang

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* This manuscript is submitted to IEEE Transactions on Image Processing on May 17th 2021. It has 13 pages, 10 figures and 3 tables 
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Learning Fine-grained Fact-Article Correspondence in Legal Cases


Apr 24, 2021
Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu, Bin Luo

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* Code and dataset are available at https://github.com/gjdnju/MLMN 
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Diffusion Probabilistic Models for 3D Point Cloud Generation


Mar 02, 2021
Shitong Luo, Wei Hu

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* Accepted to CVPR 2021 
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Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations


Mar 01, 2021
Xiang Gao, Wei Hu, Guo-Jun Qi

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Adaptive Graph Representation Learning and Reasoning for Face Parsing


Jan 18, 2021
Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei

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AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries


Nov 23, 2020
Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

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* A better result with 200 epochs of network pretraining has been updated in the new submission 
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Decentralized Knowledge Graph Representation Learning


Oct 16, 2020
Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

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* submitted to ICLR 2021 
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Provable Benefits of Representation Learning in Linear Bandits


Oct 13, 2020
Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du

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* 28 pages, 6 figures 
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Knowledge Association with Hyperbolic Knowledge Graph Embeddings


Oct 05, 2020
Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang

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* EMNLP 2020 
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Global-to-Local Neural Networks for Document-Level Relation Extraction


Sep 22, 2020
Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun

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* Accepted in the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) 
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P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions


Sep 15, 2020
Wei Hu, QiHao Zhao, Yangyu Huang, Fan Zhang

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* ICPR 2020. Codes are available at https://github.com/fistyee/P-DIFF 
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Rule-Guided Graph Neural Networks for Recommender Systems


Sep 09, 2020
Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu

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* Accepted in the 19th International Semantic Web Conference (ISWC 2020) 
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Differentiable Manifold Reconstruction for Point Cloud Denoising


Aug 09, 2020
Shitong Luo, Wei Hu

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* This work has been accepted to ACM MM 2020 
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Graph Signal Processing for Geometric Data and Beyond: Theory and Applications


Aug 05, 2020
Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro

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* 16 pages, 6 figures 
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Edge-aware Graph Representation Learning and Reasoning for Face Parsing


Jul 22, 2020
Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei

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* ECCV 2020 
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Signed Graph Metric Learning via Gershgorin Disc Alignment


Jul 06, 2020
Cheng Yang, Gene Cheung, Wei Hu

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* code available: https://github.com/bobchengyang/SGML 
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The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks


Jun 25, 2020
Wei Hu, Lechao Xiao, Ben Adlam, Jeffrey Pennington

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