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End-to-end One-shot Human Parsing


May 04, 2021
Haoyu He, Jing Zhang, Bohan Zhuang, Jianfei Cai, Dacheng Tao

* 15 pages, 7 figures 

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Privacy-Preserving Portrait Matting


Apr 29, 2021
Jizhizi Li, Sihan Ma, Jing Zhang, Dacheng Tao


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A Survey on User-Centric Cell-Free Massive MIMO Systems


Apr 28, 2021
Shuaifei Chen, Jiayi Zhang, Jing Zhang, Emil Björnson, Bo Ai


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Transformer Transforms Salient Object Detection and Camouflaged Object Detection


Apr 20, 2021
Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes

* Technical report, 15 pages, 18 figures 

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Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction


Apr 20, 2021
Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen

* Accepted as SIGIR 2021 short paper 

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Learning structure-aware semantic segmentation with image-level supervision


Apr 15, 2021
Jiawei Liu, Jing Zhang, Yicong Hong, Nick Barnes

* IJCNN2021 

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Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data


Apr 07, 2021
Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S Glicksberg


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Uncertainty-aware Joint Salient Object and Camouflaged Object Detection


Apr 06, 2021
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai

* Accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021. Aixuan Li and Jing Zhang contributed equally 

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Weakly Supervised Video Salient Object Detection


Apr 06, 2021
Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han

* 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 

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Forest Fire Clustering: Cluster-oriented Label Propagation Clustering and Monte Carlo Verification Inspired by Forest Fire Dynamics


Mar 30, 2021
Zhanlin Chen, Philip Tuckman, Jeremy Goldwasser, Jing Zhang, Mark Gerstein

* 9 pages, 8 figures 

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VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation


Mar 26, 2021
Jiayi Tian, Jing Zhang, Wen Li, Dong Xu


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Simultaneously Localize, Segment and Rank the Camouflaged Objects


Mar 06, 2021
Yunqiu Lyu, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan

* Accepted by IEEE/CVF CVPR 2021. Our code and dataset are publicly available at https://github.com/JingZhang617/COD-Rank-Localize-and-Segment 

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Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography


Feb 24, 2021
Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Xing, Min Xu

* 14 ages 

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Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents


Feb 16, 2021
Xiumin Shang, Jinping Yang, Bingquan Zhu, Lin Ye, Jing Zhang, Jianping Xu, Qin Lyu, Ruisheng Diao

* This work is accepted by NeurIPS ML4Eng workshop 2020, please refer to https://ml4eng.github.io/camera_readys/56.pdf 

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Memory-Gated Recurrent Networks


Dec 30, 2020
Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang

* This paper was accepted and will be published in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach


Dec 28, 2020
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin


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Residual Matrix Product State for Machine Learning


Dec 22, 2020
Ye-Ming Meng, Jing Zhang, Peng Zhang, Chao Gao, Shi-Ju Ran


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Progressive One-shot Human Parsing


Dec 22, 2020
Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao

* Accepted in AAAI 2021. 9 pages, 4 figures 

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SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method


Dec 15, 2020
Zhuonan Liang, Ziheng Liu, Huaze Shi, Yunlong Chen, Yanbin Cai, Yating Liang, Yafan Feng, Yuqing Yang, Jing Zhang, Peng Fu

* 11 pages, 5 figures, ICAIS 2021 

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Uncertainty-Aware Deep Calibrated Salient Object Detection


Dec 10, 2020
Jing Zhang, Yuchao Dai, Xin Yu, Mehrtash Harandi, Nick Barnes, Richard Hartley

* Completed in 2019 

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3D Guided Weakly Supervised Semantic Segmentation


Dec 01, 2020
Weixuan Sun, Jing Zhang, Nick Barnes


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DUT: Learning Video Stabilization by Simply Watching Unstable Videos


Dec 01, 2020
Yufei Xu, Jing Zhang, Stephen J. Maybank, Dacheng Tao


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SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses


Nov 30, 2020
Jinlong Fan, Jing Zhang, Dacheng Tao


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Inter-layer Transition in Neural Architecture Search


Nov 30, 2020
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao


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Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things


Nov 17, 2020
Jing Zhang, Dacheng Tao

* Accepted by IEEE Internet of Things Journal 

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End-to-end Animal Image Matting


Oct 30, 2020
Jizhizi Li, Jing Zhang, Stephen J. Maybank, Dacheng Tao

* Both the dataset and source code will be available at https://github.com/JizhiziLi/animal-matting/ 

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Neural-Symbolic Reasoning on Knowledge Graphs


Oct 29, 2020
Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding

* 27 pages, AI OPEN 

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Nighttime Dehazing with a Synthetic Benchmark


Sep 09, 2020
Jing Zhang, Yang Cao, Zheng-Jun Zha, Dacheng Tao

* ACM MM 2020. Both the dataset and source code will be available at \url{https://github.com/chaimi2013/3R

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