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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training

Sep 09, 2020
Junxiang Wang, Zheng Chai, Xiang Chen, Liang Zhao

* ICML 2020 Workshop on "Beyond first-order methods in ML systems" 

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MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG

Aug 17, 2020
Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen


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Heterogeneous Federated Learning

Aug 15, 2020
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen


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AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency

Aug 14, 2020
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

* Accepted in DATE'2020 (Best Paper Nomination) 

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LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

May 28, 2020
Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn

* 8 pages 

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Generative Feature Replay with Orthogonal Weight Modification for Continual Learning

May 07, 2020
Gehui Shen, Song Zhang, Xiang Chen, Zhi-Hong Deng

* Working in progress 

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An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

Feb 22, 2020
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

* arXiv admin note: text overlap with arXiv:1909.05073 

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COKE: Communication-Censored Kernel Learning for Decentralized Non-parametric Learning

Jan 28, 2020
Ping Xu, Yue Wang, Xiang Chen, Tian Zhi


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SQLFlow: A Bridge between SQL and Machine Learning

Jan 19, 2020
Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang


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Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning

Nov 24, 2019
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen


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LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications

Oct 17, 2019
Zirui Xu, Fuxun Yu, Xiang Chen

* 6 pages, 8 figures. arXiv admin note: substantial text overlap with arXiv:1905.08790 

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Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation

Aug 27, 2019
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang


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Multi-stage Deep Classifier Cascades for Open World Recognition

Aug 26, 2019
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao

* This paper has been accepted by CIKM 2019 

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ADMM for Efficient Deep Learning with Global Convergence

Jun 07, 2019
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao

* accepted by KDD 2019 

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DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks

May 21, 2019
Zirui Xu, Fuxun Yu, Xiang Chen

* 6 pages, 8 figures 

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Interpreting and Evaluating Neural Network Robustness

May 10, 2019
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen

* Accepted in IJCAI'19 

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FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

Apr 11, 2019
Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu


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DeepCount: Crowd Counting with WiFi via Deep Learning

Mar 13, 2019
Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen


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Background Subtraction with Real-time Semantic Segmentation

Dec 12, 2018
Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper


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Progressive Weight Pruning of Deep Neural Networks using ADMM

Nov 04, 2018
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang


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Learning color space adaptation from synthetic to real images of cirrus clouds

Oct 24, 2018
Qing Lyu, Xiang Chen

* 13 pages, 12 figures 

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Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

Oct 12, 2018
Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen

* 15 pages, submitted to ICLR 2019 

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Interpretable Convolutional Filter Pruning

Oct 12, 2018
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen


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HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition

Sep 04, 2018
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen

* 8 pages, 10 figures 

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ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction

Jun 12, 2018
Fuxun Yu, Qide Dong, Xiang Chen


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Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients

Jun 07, 2018
Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen

* 9 pages, 3 figures 

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How convolutional neural network see the world - A survey of convolutional neural network visualization methods

May 31, 2018
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen

* 32 pages, 21 figures. Mathematical Foundations of Computing 

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