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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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Ultrafast Photorealistic Style Transfer via Neural Architecture Search


Dec 05, 2019
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo


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SecureGBM: Secure Multi-Party Gradient Boosting


Nov 27, 2019
Zhi Fengy, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan

* The first two authors contributed equally to the manuscript. The paper has been accepted for publication in IEEE BigData 2019 

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Towards Making Deep Transfer Learning Never Hurt


Nov 18, 2019
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan

* accapted as long paper at the 19th IEEE International Conference on Data Mining, 2019 
* 10 pages 

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Fast Universal Style Transfer for Artistic and Photorealistic Rendering


Jul 06, 2019
Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma


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The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation


Jun 18, 2019
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu


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StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks


Jun 06, 2019
Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan


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DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks


Jan 26, 2019
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan

* Accepted at ICLR 2019 

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