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Target-Dependent Chemical Species Tomography with Hybrid Meshing of Sensing Regions


Feb 10, 2021
Rui Zhang, Godwin Enemali, Yong Bao, Chang Liu

* Submitted to IEEE Transactions on Instrumentation and Measurement 

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Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS


Jan 26, 2021
Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Chang Liu, Derrick Wing Kwan Ng, Jinhong Yuan

* arXiv admin note: text overlap with arXiv:2005.11663 

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Gaussian Process-Based Model Predictive Control for Overtaking


Jan 22, 2021
Wenjun Liu, Chang Liu, Guang Chen, Peng Hang, Alois Knoll


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Towards Enhancing Fine-grained Details for Image Matting


Jan 22, 2021
Chang Liu, Henghui Ding, Xudong Jiang


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Bridge the Vision Gap from Field to Command: A Deep Learning Network Enhancing Illumination and Details


Jan 20, 2021
Zhuqing Jiang, Chang Liu, Ya'nan Wang, Kai Li, Aidong Men, Haiying Wang, Haiyong Luo


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Shed Various Lights on a Low-Light Image: Multi-Level Enhancement Guided by Arbitrary References


Jan 04, 2021
Ya'nan Wang, Zhuqing Jiang, Chang Liu, Kai Li, Aidong Men, Haiying Wang


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Deep Reinforcement Learning of Graph Matching


Dec 16, 2020
Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan


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Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization


Dec 07, 2020
Chang Liu, Yixing Huang, Joscha Maier, Laura Klein, Marc Kachelrieß, Andreas Maier

* Proceedings for "2020 IEEE Nuclear Science Symposium and Medical Imaging Conference" 

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Towards Spatio-Temporal Video Scene Text Detection via Temporal Clustering


Nov 19, 2020
Yuanqiang Cai, Chang Liu, Weiqiang Wang, Qixiang Ye


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Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications


Nov 10, 2020
Chang Liu, Wenzhong Yan, Ankur Mehta


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Adaptive Linear Span Network for Object Skeleton Detection


Nov 08, 2020
Chang Liu, Yunjie Tian, Jianbin Jiao, Qixiang Ye

* 13 pages, 9 figures 

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Latent Causal Invariant Model


Nov 04, 2020
Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-yan Liu


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Learning Causal Semantic Representation for Out-of-Distribution Prediction


Nov 03, 2020
Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu


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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning


Sep 17, 2020
Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu

* Proceedings of the 29th ACM International on Conference on Information and Knowledge Management (CIKM). ACM, 2020 

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Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets


Sep 13, 2020
Chang Liu, Zhihao Liao, Silvia Ferrari

* 8 pages, 3 figures, accepted to 59th IEEE Conference on Decision and Control (CDC), 2020 

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Attribute-conditioned Layout GAN for Automatic Graphic Design


Sep 11, 2020
Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu


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DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction


Sep 04, 2020
Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang

* 8 pages, 6 figures 

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Prototype Mixture Models for Few-shot Semantic Segmentation


Sep 01, 2020
Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye


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Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning


Aug 27, 2020
Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang

* The Astrophysical Journal Supplement Series, 250:5 (13pp), 2020 
* 17 pages, 12 figures 

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SCNet: A Neural Network for Automated Side-Channel Attack


Aug 02, 2020
Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang


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Learning to Match Distributions for Domain Adaptation


Jul 27, 2020
Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu

* Preprint. 20 Pages. Code available at https://github.com/jindongwang/transferlearning/tree/master/code/deep/Learning-to-Match 

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Progressive Cluster Purification for Unsupervised Feature Learning


Jul 15, 2020
Yifei Zhang, Chang Liu, Yu Zhou, Wei Wang, Weiping Wang, Qixiang Ye

* 8 pages, 5 figures 

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Modeling Lost Information in Lossy Image Compression


Jul 08, 2020
Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu


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Discretization-Aware Architecture Search


Jul 07, 2020
Yunjie Tian, Chang Liu, Lingxi Xie, Jianbin Jiao, Qixiang Ye

* 14 pages, 7 figures 

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Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks


Jun 23, 2020
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang

* under review, 36 pages (updated Eq. 3 and Fig. 8) 

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