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Wei Hu

State Key Laboratory for Novel Software Technology, Nanjing University

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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* ECCV 2020 

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Signed Graph Metric Learning via Gershgorin Disc Alignment

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

* 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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When is Particle Filtering Efficient for POMDP Sequential Planning?

Jun 10, 2020
Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu


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TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs

Apr 22, 2020
Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu

* Published in proceedings of the 18th International Semantic Web Conference (ISWC 2019) 

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3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning

Apr 07, 2020
Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao

* It's a new version of '3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling' (1904.12284). It was mis-posted. We will submit a replacement of this version to 1904.12284 

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Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Mar 18, 2020
Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li

* accepted to SIGMOD 2020 

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A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs

Mar 10, 2020
Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li

* Under review 

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Graph Metric Learning via Gershgorin Disc Alignment

Mar 09, 2020
Cheng Yang, Gene Cheung, Wei Hu

* accepted to ICASSP 2020 

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Few-Shot Learning via Learning the Representation, Provably

Feb 21, 2020
Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei


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Crowdsourced Collective Entity Resolution with Relational Match Propagation

Feb 21, 2020
Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu

* Accepted by the 36th IEEE International Conference on Data Engineering (ICDE 2020) 

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Open Knowledge Enrichment for Long-tail Entities

Feb 19, 2020
Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu

* Accepted by the 29th International World Wide Web Conference (WWW 2020) 

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Fast Graph Metric Learning via Gershgorin Disc Alignment

Feb 15, 2020
Cheng Yang, Gene Cheung, Wei Hu

* accepted to ICASSP 2020 

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