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Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?


Jul 01, 2021
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang


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Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI


Jun 18, 2021
Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang

* In Proceedings of the 22nd International Symposium on Quality Electronic Design (ISQED), 2021 

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Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy


Jun 07, 2021
Zicong Wu, Chuqian Lou, Zhu Jin, Shaoping Huang, Ning Liu, Yun Zou, Mirko Kovac, Anzhu Gao, Guang-Zhong Yang


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Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning


Apr 13, 2021
Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu


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Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation


Mar 22, 2021
Wei Zhang, Yunfeng Zhang, Ning Liu


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Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?


Feb 19, 2021
Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang


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DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search


Nov 04, 2020
Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang


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Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach


Oct 20, 2020
Wei Zhang, Ning Liu, Yunfeng Zhang

* 8 pages, 10 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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FBG-Based Triaxial Force Sensor Integrated with an Eccentrically Configured Imaging Probe for Endoluminal Optical Biopsy


Jun 11, 2020
Zicong Wu, Anzhu Gao, Ning Liu, Zhu Jin, Guang-Zhong Yang


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Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions


Feb 15, 2020
Wei Zhang, Yunfeng Zhang, Ning Liu

* 8 pages, 14 figures 

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Transparent Classification with Multilayer Logical Perceptrons and Random Binarization


Dec 10, 2019
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

* AAAI-20 oral 

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Deep Compressed Pneumonia Detection for Low-Power Embedded Devices


Nov 04, 2019
Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang


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REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs


Sep 29, 2019
Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang


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UPC: Learning Universal Physical Camouflage Attacks on Object Detectors


Sep 10, 2019
Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan Yuille, Ning Liu

* Tech report; codes, models, and demos are available at https://mesunhlf.github.io/index_physical.html 

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Distinguishing Individual Red Pandas from Their Faces


Aug 09, 2019
Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou

* Accepted by the 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2019) 

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A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology


Jul 22, 2019
Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Nobuyuki Yoshikawa, Yanzhi Wang


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AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates


Jul 06, 2019
Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye


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ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding


Dec 04, 2018
Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu


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Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation


Sep 11, 2018
Wei Zhang, Yunfeng Zhang, Ning Liu

* 8 pages, 12 figures 

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Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs


Mar 28, 2018
Caiwen Ding, Ao Ren, Geng Yuan, Xiaolong Ma, Jiayu Li, Ning Liu, Bo Yuan, Yanzhi Wang

* 6 pages, 7 figures, GLSVLSI2018 

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VIBNN: Hardware Acceleration of Bayesian Neural Networks


Feb 02, 2018
Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang


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Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data


Jan 28, 2018
Ning Liu, Ying Liu, Brent Logan, Zhiyuan Xu, Jian Tang, Yanzhi Wang


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FFT-Based Deep Learning Deployment in Embedded Systems


Dec 13, 2017
Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram

* Design, Automation, and Test in Europe (DATE) For source code, please contact Mahdi Nazemi at  

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CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices


Aug 29, 2017
Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan

* 14 pages, 15 Figures, conference 

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A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning


Aug 11, 2017
Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang

* accepted by 37th IEEE International Conference on Distributed Computing (ICDCS 2017) 

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