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On the Variance of the Fisher Information for Deep Learning


Jul 09, 2021
Alexander Soen, Ke Sun


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Secure Quantized Training for Deep Learning


Jul 01, 2021
Marcel Keller, Ke Sun

* 17 pages 

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Intent Disentanglement and Feature Self-supervision for Novel Recommendation


Jun 28, 2021
Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng


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Graph Learning: A Survey


May 03, 2021
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu

* IEEE Transactions on Artificial Intelligence (2021) 
* 19 pages, 6 figures 

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Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression


Apr 06, 2021
Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang

* Accepted by CVPR2021. arXiv admin note: text overlap with arXiv:2006.15480 

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Graph Force Learning


Mar 07, 2021
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia


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Network Representation Learning: From Traditional Feature Learning to Deep Learning


Mar 07, 2021
Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia


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Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting


Feb 24, 2021
Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha


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Belief Space Planning for Mobile Robots with Range Sensors using iLQG


Feb 10, 2021
Ke Sun, Vijay Kumar

* Accepted by Robotics and Automation Letters 

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Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements


Dec 02, 2020
Ke Sun, Brent Schlotfeldt, George Pappas, Vijay Kumar

* Accepeted by IEEE Transactions on Robotics 

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Effectiveness of MPC-friendly Softmax Replacement


Nov 23, 2020
Marcel Keller, Ke Sun

* 6 pages, PPML/PriML workshop at NeurIPS 2020 

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A Practical Chinese Dependency Parser Based on A Large-scale Dataset


Sep 03, 2020
Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao


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Multivariate Relations Aggregation Learning in Social Networks


Aug 09, 2020
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia

* ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), Wuhan, China, August 1 - 5, 2020 
* 11 pages, 6 figures 

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Feedback Enhanced Motion Planning for Autonomous Vehicles


Jul 11, 2020
Ke Sun, Brent Schlotfeldt, Stephen Chaves, Paul Martin, Gulshan Mandhyan, Vijay Kumar

* To appear in IROS 2020 

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Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates


Jun 28, 2020
Ke Sun, Zigang Geng, Depu Meng, Bin Xiao, Dong Liu, Zhaoxiang Zhang, Jingdong Wang


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Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data


Jun 14, 2020
Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu


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milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion


Jun 03, 2020
Chris Xiaoxuan Lu, Muhamad Risqi U. Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

* 11 pages 

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Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions


Dec 11, 2019
Ke Sun, Frank Nielsen

* To be presented at Sets & Partitions (NeurIPS 2019 workshop) 

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Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy


Nov 21, 2019
Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu


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A Note on Our Submission to Track 4 of iDASH 2019


Oct 24, 2019
Marcel Keller, Ke Sun

* 4 pages 

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Deep High-Resolution Representation Learning for Visual Recognition


Aug 20, 2019
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

* arXiv admin note: text overlap with arXiv:1904.04514 

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AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models


Aug 14, 2019
Ke Sun, Zhouchen Lin, Zhanxing Zhu


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Learning Deep Image Priors for Blind Image Denoising


Jun 04, 2019
Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu


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Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training


Jun 04, 2019
Xianxu Hou, Ke Sun, Linlin Shen, Guoping Qiu

* Accepted in Neurocomputing, 2019. arXiv admin note: text overlap with arXiv:1610.00291 

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Lightlike Neuromanifolds, Occam's Razor and Deep Learning


May 27, 2019
Ke Sun, Frank Nielsen

* Submitted to NeurIPS 2019 

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High-Resolution Representations for Labeling Pixels and Regions


Apr 09, 2019
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang


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Fisher-Bures Adversary Graph Convolutional Networks


Mar 11, 2019
Ke Sun, Piotr Koniusz, Jeff Wang


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Virtual Adversarial Training on Graph Convolutional Networks in Node Classification


Feb 28, 2019
Ke Sun, Hantao Guo, Zhanxing Zhu, Zhouchen Lin


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Multi-Stage Self-Supervised Learning for Graph Convolutional Networks


Feb 28, 2019
Ke Sun, Zhanxing Zhu, Zhouchen Lin


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