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Explainability-based Backdoor Attacks Against Graph Neural Networks

Apr 08, 2021
Jing Xu, Minhui, Xue, Stjepan Picek

* 6 pages, 4 figures 

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MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

Jan 31, 2021
Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai

* 24 pages, 7 figures 

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RegNet: Self-Regulated Network for Image Classification

Jan 03, 2021
Jing Xu, Yu Pan, Xinglin Pan, Steven Hoi, Zhang Yi, Zenglin Xu

* 6 pages, 4 figures 

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Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks

Oct 25, 2020
Jing Xu, Fangwei Zhong, Yizhou Wang

* To appear in NeurIPS 2020 

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Recipes for Safety in Open-domain Chatbots

Oct 22, 2020
Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan

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Recipes for building an open-domain chatbot

Apr 30, 2020
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Kurt Shuster, Eric M. Smith, Y-Lan Boureau, Jason Weston

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MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

Apr 21, 2020
Yu Qiu, Yun Liu, Jing Xu

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Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

Jan 15, 2020
Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes

Oct 31, 2019
Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

* Accepted at the Conference on Robot Learning (CoRL) 2019. Project webpage is available here: 

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Point-Based Multi-View Stereo Network

Aug 12, 2019
Rui Chen, Songfang Han, Jing Xu, Hao Su

* Accepted as ICCV 2019 oral presentation 

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Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies

Apr 10, 2019
Jing Xu, Zhimin Hou, Zhi Liu, Hong Qiao

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

Nov 19, 2018
Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

* 9 pages 

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Attention-Aware Compositional Network for Person Re-identification

May 16, 2018
Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang

* Accepted at CVPR2018 

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Image segmentation based on the hybrid total variation model and the K-means clustering strategy

May 30, 2016
Baoli Shi, Zhi-Feng Pang, Jing Xu

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Deep Boosting: Layered Feature Mining for General Image Classification

Feb 03, 2015
Zhanglin Peng, Liang Lin, Ruimao Zhang, Jing Xu

* Multimedia and Expo (ICME), 2014 IEEE International Conference on , vol., no., pp.1,6, 14-18 July 2014 
* 6 pages, 4 figures, ICME 2014 

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Intrusion Detection using Continuous Time Bayesian Networks

Jan 16, 2014
Jing Xu, Christian R. Shelton

* Journal Of Artificial Intelligence Research, Volume 39, pages 745-774, 2010 

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