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Neural Dialogue State Tracking with Temporally Expressive Networks

Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

* Accepted by Findings of EMNLP 2020 

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Parallel Interactive Networks for Multi-Domain Dialogue State Generation

Oct 03, 2020
Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu

* Accepted by EMNLP 2020 

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A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

Aug 21, 2020
Jie Xu, Wei Zhang, Fei Wang


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Deep Embedded Multi-view Clustering with Collaborative Training

Jul 26, 2020
Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu


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Adversarial Machine Learning based Partial-model Attack in IoT

Jul 10, 2020
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu, Jie Xu


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Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective

Apr 09, 2020
Jie Xu, Heqiang Wang


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D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge

Jan 28, 2020
Xiaoran Cai, Xiaopeng Mo, Junyang Chen, Jie Xu

* Submit to IEEE Wireless Communications Letters 

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Federated Learning for Healthcare Informatics

Nov 13, 2019
Jie Xu, Fei Wang

* 25 pages 

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Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework

Sep 12, 2019
Junfan Chen, Richong Zhang, Yongyi Mao, Hongyu Guo, Jie Xu

* To appear in 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing 

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The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost

Jul 16, 2019
Mengwei Yang, Linqi Song, Jie Xu, Congduan Li, Guozhen Tan


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When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

May 04, 2019
Zhengping Luo, Shangqing Zhao, Zhuo Lu, Jie Xu, Yalin E. Sagduyu


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Spatio-temporal Edge Service Placement: A Bandit Learning Approach

Oct 07, 2018
Lixing Chen, Jie Xu, Shaolei Ren, Pan Zhou


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DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

Mar 14, 2018
Zihao Liu, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, Gang Quan

* 55th Design Automation Conference (DAC2018) 

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Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing

Mar 17, 2017
Jie Xu, Lixing Chen, Shaolei Ren

* arXiv admin note: text overlap with arXiv:1701.01090 by other authors 

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A Contextual Bandit Approach for Stream-Based Active Learning

Jan 24, 2017
Linqi Song, Jie Xu

* arXiv admin note: text overlap with arXiv:1607.03182 

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Efficient Estimation in the Tails of Gaussian Copulas

Jul 05, 2016
Kalyani Nagaraj, Jie Xu, Raghu Pasupathy, Soumyadip Ghosh


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Predicting Grades

Mar 18, 2016
Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar

* IEEE Transactions on Signal Processing, vol. 64, no. 4, pp. 959-972, Feb.15, 2016 
* 15 pages, 15 figures 

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Personalized Course Sequence Recommendations

Jan 12, 2016
Jie Xu, Tianwei Xing, Mihaela van der Schaar


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A new humanlike facial attractiveness predictor with cascaded fine-tuning deep learning model

Nov 08, 2015
Jie Xu, Lianwen Jin, Lingyu Liang, Ziyong Feng, Duorui Xie

* 5 pages, 3 figures, 5 tables 

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SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception

Nov 08, 2015
Duorui Xie, Lingyu Liang, Lianwen Jin, Jie Xu, Mengru Li

* 6 pages, 8 figures, 6 tables 

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Forecasting Popularity of Videos using Social Media

Mar 22, 2014
Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li


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