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Ke Wang

Simon Frasier University

OUTCOMES: Rapid Under-sampling Optimization achieves up to 50% improvements in reconstruction accuracy for multi-contrast MRI sequences


Mar 08, 2021
Ke Wang, Enhao Gong, Yuxin Zhang, Suchadrima Banerjee, Greg Zaharchuk, John Pauly

* 12 pages, 5 figures 
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Memory-efficient Learning for High-Dimensional MRI Reconstruction


Mar 06, 2021
Ke Wang, Michael Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

* 14 pages, 8 figures 
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Echelon: Two-Tier Malware Detection for Raw Executables to Reduce False Alarms


Jan 04, 2021
Anandharaju Durai Raju, Ke Wang

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* 12 pages, 8 figures, 5 tables 
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Salient Bundle Adjustment for Visual SLAM


Dec 22, 2020
Ke Wang, Sai Ma, Junlan Chen, Jianbo Lu

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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation


Dec 16, 2020
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

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* Neural Information Processing Systems Workshop on Offline Reinforcement Learning 
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Benign Overfitting in Binary Classification of Gaussian Mixtures


Nov 18, 2020
Ke Wang, Christos Thrampoulidis

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* 11 pages, 3 figures 
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Assessing the Fairness of Classifiers with Collider Bias


Oct 08, 2020
Zhenlong Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang

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* 9pages,7figures 
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Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing


Sep 28, 2020
Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan

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Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas


Sep 06, 2020
Ke Wang, Sai Ma, Junlan Chen, Fan Ren

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Revisiting Adversarially Learned Injection Attacks Against Recommender Systems


Aug 28, 2020
Jiaxi Tang, Hongyi Wen, Ke Wang

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* Accepted at Recsys 20 
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A feature-supervised generative adversarial network for environmental monitoring during hazy days


Aug 05, 2020
Ke Wang, Siyuan Zhang, Junlan Chen, Fan Ren, Lei Xiao

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Time-aware Graph Embedding: A temporal smoothness and task-oriented approach


Jul 22, 2020
Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao

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Asynchronous Real-Time Optimization of Footstep Placement and Timing in Bipedal Walking Robots


Jul 02, 2020
Digby Chappell, Ke Wang, Petar Kormushev

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* 8 pages, 8 figures, journal paper 
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Relative Pose Estimation for Stereo Rolling Shutter Cameras


Jun 14, 2020
Ke Wang, Bin Fan, Yuchao Dai

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* Accepted by International Conference on Image Processing (ICIP 2020) 
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Learning Semantic Program Embeddings with Graph Interval Neural Network


May 27, 2020
Yu Wang, Fengjuan Gao, Linzhang Wang, Ke Wang

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* The abstract is simplified, for full abstract, please refer to the paper 
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Learning Semantic Program Embeddings with GraphInterval Neural Network


May 18, 2020
Yu Wang, Fengjuan Gao, Linzhang Wang, Ke Wang

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* The abstract is simplified, for full abstract, please refer to the paper 
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Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks


May 13, 2020
Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei

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CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation


Mar 23, 2020
Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang

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* 8 pages, 6 figures 
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The Differentially Private Lottery Ticket Mechanism


Feb 16, 2020
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho

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IStego100K: Large-scale Image Steganalysis Dataset


Nov 13, 2019
Zhongliang Yang, Ke Wang, Sai Ma, Yongfeng Huang, Xiangui Kang, Xianfeng Zhao

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* Accepted by IWDW2019 
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FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment


Oct 16, 2019
Ke Wang, Kaixuan Wang, Shaojie Shen

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AI Benchmark: All About Deep Learning on Smartphones in 2019


Oct 15, 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool

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SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference


Oct 15, 2019
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski

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Differentially Private Survival Function Estimation


Oct 04, 2019
Lovedeep Gondara, Ke Wang

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* Preprint 
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Testing Neural Program Analyzers


Sep 25, 2019
Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour

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* ASE 2019 Late Breaking Results 
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Testing Neural Programs


Aug 25, 2019
Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour

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* ASE 2019 Late Breaking Results 
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Learning a Static Bug Finder from Data


Jul 15, 2019
Yu Wang, Fengjuan Gao, Linzhang Wang, Ke Wang

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Learning Blended, Precise Semantic Program Embeddings


Jul 11, 2019
Ke Wang, Zhendong Su

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