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Responsive Web User Interface to Recover Training Data from User Gradients in Federated Learning

Jun 08, 2020
Hans Albert Lianto, Yang Zhao, Jun Zhao

* This paper appears in ACM ASIA Conference on Computer and Communications Security (ACMASIACCS) 2020 

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Local Differential Privacy based Federated Learning for Internet of Things

Apr 19, 2020
Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok Yan Lam


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Knowledge Guided Metric Learning for Few-Shot Text Classification

Apr 04, 2020
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao


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Refinements in Motion and Appearance for Online Multi-Object Tracking

Mar 17, 2020
Piao Huang, Shoudong Han, Jun Zhao, Donghaisheng Liu, Hongwei Wang, En Yu, Alex ChiChung Kot


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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA

Mar 09, 2020
Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin

* 21 pages, in Chinese, 9 figures and 17 tables, CCKS 2019 held an evaluation track about knowledge graph with 6 tasks and attracted more than 1,600 teams 

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Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks

Feb 25, 2020
Ziqing Yang, Shoudong Han, Jun Zhao

* 7 pages, 3 figures 

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Residual-Sparse Fuzzy $C$-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames

Feb 14, 2020
Cong Wang, Witold Pedrycz, ZhiWu Li, MengChu Zhou, Jun Zhao

* 12 pages, 11 figure 

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Deep Robust Multilevel Semantic Cross-Modal Hashing

Feb 07, 2020
Ge Song, Jun Zhao, Xiaoyang Tan

* 7 pages, 6 figures, submitted to a conference 

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AI-GAN: Attack-Inspired Generation of Adversarial Examples

Feb 06, 2020
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li

* 7 pages, 6 figures. Submitted to IJCAI2020 

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An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning

Dec 19, 2019
Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen

* This full paper appears in the Proceedings of IEEE International Conference on Computer Communications (INFOCOM), held in April 2020 

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Reviewing and Improving the Gaussian Mechanism for Differential Privacy

Dec 07, 2019
Jun Zhao, Teng Wang, Tao Bai, Kwok-Yan Lam, Zhiying Xu, Shuyu Shi, Xuebin Ren, Xinyu Yang, Yang Liu, Han Yu

* 23 Pages 

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Adaptive Statistical Learning with Bayesian Differential Privacy

Nov 02, 2019
Jun Zhao

* WPES '17 Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, held in conjunction with ACM SIGSAC 25th Annual Conference on Computer and Communications Security (CCS), Dallas, Texas, US, October 2017 

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Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss

Oct 29, 2019
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

* Accepted to EMNLP 2019 

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Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots

Oct 29, 2019
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

* Accepted to CoNLL 2019 

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Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

Oct 21, 2019
Huy T. Nguyen, Nguyen Cong Luong, Jun Zhao, Chau Yuen, Dusit Niyato


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A Survey of Simultaneous Localization and Mapping

Aug 24, 2019
Baichuan Huang, Jun Zhao, Jingbin Liu


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Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking

Aug 21, 2019
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

* 12 pages, 4 figures 

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Collecting and Analyzing Multidimensional Data with Local Differential Privacy

Jun 28, 2019
Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, Ge Yu

* 12-Page Full Paper in Proceedings of the 2019 IEEE International Conference on Data Engineering (ICDE). arXiv admin note: text overlap with arXiv:1606.05053 

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Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System

Jun 26, 2019
Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato


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Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas

Jun 04, 2019
Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi

* 11pages 

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Empowering Elasticsearch with Exact and Fast $r$-Neighbor Search in Hamming Space

Feb 20, 2019
Cun Mu, Jun Zhao, Guang Yang, Binwei Yang, Zheng Yan


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Towards Practical Visual Search Engine within Elasticsearch

Jun 23, 2018
Cun Mu, Jun Zhao, Guang Yang, Jing Zhang, Zheng Yan

* Accepted by SIGIR eCom'18 

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Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors

Apr 10, 2018
Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu

* 8 pages, 6 figures 

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Deep Reinforcement Learning for Sponsored Search Real-time Bidding

Mar 01, 2018
Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He


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Removal of Batch Effects using Distribution-Matching Residual Networks

Jan 08, 2018
Uri Shaham, Kelly P. Stanton, Jun Zhao, Huamin Li, Khadir Raddassi, Ruth Montgomery, Yuval Kluger

* fixed typo 

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Self-Taught Convolutional Neural Networks for Short Text Clustering

Jan 01, 2017
Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao, Bo Xu

* 33 pages, accepted for publication in Neural Networks 

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Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information

Jun 03, 2016
Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao


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