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AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow


Oct 07, 2021
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou

* accepted by Machine Learning 

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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

* Main Text with Appendix, accepted by Machine Learning 

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Do What Nature Did To Us: Evolving Plastic Recurrent Neural Networks For Task Generalization


Sep 29, 2021
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Yang Cao, Yu Kang, Haifeng Wang


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AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators


Sep 21, 2021
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang


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Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study


Sep 02, 2021
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou


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Semi-Supervised Active Learning with Temporal Output Discrepancy


Jul 29, 2021
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou

* ICCV 2021. Code is available at https://github.com/siyuhuang/TOD 

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Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity


Jul 21, 2021
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

* 11 pages, 8 figures, Accepted by KDD 2021 (Research Track) 

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Face.evoLVe: A High-Performance Face Recognition Library


Jul 20, 2021
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao


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Robust Matrix Factorization with Grouping Effect


Jul 08, 2021
Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou

* 22 pages, 5 figures, 4 tables 

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From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques


Jul 02, 2021
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang

* Submitted to a journal for review 

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Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples


Jun 20, 2021
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou


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Optimization Variance: Exploring Generalization Properties of DNNs


Jun 03, 2021
Xiao Zhang, Dongrui Wu, Haoyi Xiong, Bo Dai

* Work in progress 

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JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu


Jun 03, 2021
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

* Accepted to SIGKDD 2021 applied data science track 

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From Distributed Machine Learning to Federated Learning: A Survey


May 10, 2021
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou

* 31 pages, 8 figures 

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SMILE: Self-Distilled MIxup for Efficient Transfer LEarning


Mar 25, 2021
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou


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Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond


Mar 19, 2021
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou


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C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak


Jan 27, 2021
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

* 12 pages, accepted by AAAI 2021, appendix is included 

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Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction


Dec 17, 2020
Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou


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Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement


Oct 16, 2020
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou


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XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup


Jul 20, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou


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Generating Person Images with Appearance-aware Pose Stylizer


Jul 17, 2020
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou

* Appearing at IJCAI 2020. The code is available at https://github.com/siyuhuang/PoseStylizer 

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RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr


Jul 07, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou

* Accepted by ICML'2020 

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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization


Apr 26, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu


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Parameter-Free Style Projection for Arbitrary Style Transfer


Mar 17, 2020
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

* 9 pages, 12 figures 

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Curriculum Audiovisual Learning


Jan 26, 2020
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou


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