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AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Nov 18, 2020
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra


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Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

Oct 31, 2020
Kailai Li, Meng Li, Uwe D. Hanebeck

* 15 pages 

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DNA: Differentiable Network-Accelerator Co-Search

Oct 28, 2020
Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin


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NASGEM: Neural Architecture Search via Graph Embedding Method

Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen


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Non-asymptotic Analysis in Kernel Ridge Regression

Jun 02, 2020
Zejian Liu, Meng Li


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Three-branch and Mutil-scale learning for Fine-grained Image Recognition (TBMSL-Net)

Mar 27, 2020
Fan Zhang, Guisheng Zhai, Meng Li, Yizhao Liu


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SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks

Mar 09, 2020
Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou


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Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

Feb 13, 2020
Ke Zhang, Meng Li, Zhengchao Zhang, Xi Lin, Fang He

* 28 pages 

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Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization

Feb 13, 2020
Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra

* 12 pages, 10 figures, 6 tables 

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Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

Feb 10, 2020
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi

* Accepted by DAC'20 

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PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation

Nov 12, 2019
Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang

* MICCAI workshop MMMI2019 Best Student Paper Award 

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Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent

Oct 07, 2019
Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu


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Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images

Aug 30, 2019
Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng


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Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Jun 27, 2019
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

* Accepted by MICCAI 2019 

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Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks

Dec 01, 2018
Meng Li, Yan Zhang, Haicheng She, Jinqiong Zhou, Jia Jia, Danmei He, Li Zhang


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Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism

Oct 24, 2018
Zhengchao Zhang, Meng Li, Xi Lin, Yinhai Wang, Fang He


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Computed Tomography Image Enhancement using 3D Convolutional Neural Network

Jul 18, 2018
Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong


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WARP: Wavelets with adaptive recursive partitioning for multi-dimensional data

Jul 10, 2018
Meng Li, Li Ma


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Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection

Jun 27, 2018
Yibo Lin, Meng Li, Yuki Watanabe, Taiki Kimura, Tetsuaki Matsunawa, Shigeki Nojima, David Z. Pan


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Federated Learning with Non-IID Data

Jun 02, 2018
Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra


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Reducing over-clustering via the powered Chinese restaurant process

Feb 15, 2018
Jun Lu, Meng Li, David Dunson


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PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training

Jan 12, 2018
Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan

* 20 pages, 25 figures 

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