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Jian Chen

Content-Aware Convolutional Neural Networks


Jul 23, 2021
Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang

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* Accepted by Neural Networks 
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Document Domain Randomization for Deep Learning Document Layout Extraction


May 20, 2021
Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles

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* Main paper to appear in ICDAR 2021 (16th International Conference on Document Analysis and Recognition). This version contains additional materials. The associated test data is hosted on IEEE Data Port: http://doi.org/10.21227/326q-bf39 
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De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks


May 08, 2021
Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu

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* To be published in IEEE Transactions on Information Forensics and Security 
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Internal Wasserstein Distance for Adversarial Attack and Defense


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Shuhai Zhang, Yanwu Xu, Jian Chen, Mingkui Tan

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Learning Defense Transformers for Counterattacking Adversarial Examples


Mar 13, 2021
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan

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Digital Interference Mitigation in Space Division Multiplexing Self-Homodyne Coherent Detection


Feb 28, 2021
Hanzi Huang, Yetian Huang, Haoshuo Chen, Qianwu Zhang, Jian Chen, Nicolas K. Fontaine, Mikael Mazur, Roland Ryf, Junho Cho, Yingxiong Song

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* 2 pages, 3 figures, submitted to OFC 2021 
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Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets


Feb 27, 2021
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

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* 8 pages 
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Towards Accurate and Compact Architectures via Neural Architecture Transformer


Feb 20, 2021
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

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* Extension of NAT 
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VIS30K: A Collection of Figures and Tables from IEEE Visualization Conference Publications


Jan 11, 2021
Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

* 12 pages 
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VIS30K: A Collection of Figures and Tables from {IEEE} Visualization Conference Publications


Jan 06, 2021
Jian Chen, Meng Ling, Rui Li, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Torsten Möller, Robert S. Laramee, Han-Wei Shen, Katharina Wünsche, Qiru Wang

* 12 pages 
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StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking


Dec 14, 2020
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengmin Li, Min Yang, Yang Sun, Guoxiao Zhang

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Defense-guided Transferable Adversarial Attacks


Nov 04, 2020
Zifei Zhang, Kai Qiao, Jian Chen, Ningning Liang

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Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task


Oct 17, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

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* 12 pages, 18 figures 
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Double Forward Propagation for Memorized Batch Normalization


Oct 10, 2020
Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

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* AAAI2018, 8 pages, 3 figures 
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Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task


Sep 30, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

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* 12 pages, 18 figures 
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Conditional Automated Channel Pruning for Deep Neural Networks


Sep 27, 2020
Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen

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Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps


Sep 26, 2020
Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia

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* Accepted to NeurIPS 2020 
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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search


Jul 07, 2020
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

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Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features


Mar 26, 2020
Kai Qiao, Chi Zhang, Jian Chen, Linyuan Wang, Li Tong, Bin Yan

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Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution


Mar 16, 2020
Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

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* This paper is accepted by CVPR 2020 
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BigGAN-based Bayesian reconstruction of natural images from human brain activity


Mar 13, 2020
Kai Qiao, Jian Chen, Linyuan Wang, Chi Zhang, Li Tong, Bin Yan

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* brain decoding; visual reconstruction; generative adversarial network (GAN); Bayesian framework. under review in Neuroscience of Elsevier 
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Hierarchical Neural Architecture Search for Single Image Super-Resolution


Mar 10, 2020
Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen

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Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment


Nov 28, 2019
Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla Evans, Gaeun Kim, Jeremy M. Wolfe

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NAT: Neural Architecture Transformer for Accurate and Compact Architectures


Nov 18, 2019
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

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* This paper is accepted by NeurIPS 2019 
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Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling


Oct 18, 2019
Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo

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* 11 pages 
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Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization


Jul 27, 2019
Kai Qiao, Chi Zhang, Jian Chen, Linyuan Wang, Li Tong, Bin Yan

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* under review in Computational Intelligence and Neuroscience 
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