Chen Lin

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SenseTime Corporation ∙ Xiamen University ∙ University of Oxford ∙ Meitu, Inc.

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

Online gaming is a multi-billion-dollar industry, which is growing faste...
02/13/2021 ∙ by Si Chen, et al. ∙ 0 ∙ share

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Inception Convolution with Efficient Dilation Search

Dilation convolution is a critical mutant of standard convolution neural...
12/25/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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DETR for Pedestrian Detection

Pedestrian detection in crowd scenes poses a challenging problem due to ...
12/12/2020 ∙ by Matthieu Lin, et al. ∙ 0 ∙ share

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Evolving Search Space for Neural Architecture Search

The automation of neural architecture design has been a coveted alternat...
11/22/2020 ∙ by Yuanzheng Ci, et al. ∙ 0 ∙ share

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PV-NAS: Practical Neural Architecture Search for Video Recognition

Recently, deep learning has been utilized to solve video recognition pro...
11/02/2020 ∙ by Zihao Wang, et al. ∙ 0 ∙ share

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Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...
10/21/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

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Once Quantized for All: Progressively Searching for Quantized Efficient Models

Automatic search of Quantized Neural Networks has attracted a lot of att...
10/09/2020 ∙ by Mingzhu Shen, et al. ∙ 0 ∙ share

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Improving Auto-Augment via Augmentation-Wise Weight Sharing

The recent progress on automatically searching augmentation policies has...
09/30/2020 ∙ by Keyu Tian, et al. ∙ 6 ∙ share

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Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

One-shot NAS method has attracted much interest from the research commun...
05/21/2020 ∙ by Ronghao Guo, et al. ∙ 4 ∙ share

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Attacking Recommender Systems with Augmented User Profiles

Recommendation Systems (RS) have become an essential part of many online...
05/17/2020 ∙ by Chen Lin, et al. ∙ 0 ∙ share

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Computation Reallocation for Object Detection

The allocation of computation resources in the backbone is a crucial iss...
12/24/2019 ∙ by Feng Liang, et al. ∙ 27 ∙ share

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FLEN: Leveraging Field for Scalable CTR Prediction

Click-Through Rate (CTR) prediction has been an indispensable component ...
11/12/2019 ∙ by Wenqiang Chen, et al. ∙ 0 ∙ share

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Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...
10/06/2019 ∙ by Xiang Li, et al. ∙ 15 ∙ share

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AM-LFS: AutoML for Loss Function Search

Designing an effective loss function plays an important role in visual a...
05/17/2019 ∙ by Chuming Li, et al. ∙ 7 ∙ share

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Online Hyper-parameter Learning for Auto-Augmentation Strategy

Data augmentation is critical to the success of modern deep learning tec...
05/17/2019 ∙ by Chen Lin, et al. ∙ 6 ∙ share

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Synaptic Strength For Convolutional Neural Network

Convolutional Neural Networks(CNNs) are both computation and memory inte...
11/06/2018 ∙ by Chen Lin, et al. ∙ 2 ∙ share

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Chen Lin

Featured Co-authors

Wanli Ouyang

Dahua Lin

Wei Wu

Hui Li

Junjie Yan

Xiang Li

Jie Liu

Dong Xu

Ming Sun

Zihao Wang

Jing Shao

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

Inception Convolution with Efficient Dilation Search

DETR for Pedestrian Detection

Evolving Search Space for Neural Architecture Search

PV-NAS: Practical Neural Architecture Search for Video Recognition

Adaptive Gradient Method with Resilience and Momentum

Once Quantized for All: Progressively Searching for Quantized Efficient Models

Improving Auto-Augment via Augmentation-Wise Weight Sharing

Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

Attacking Recommender Systems with Augmented User Profiles

Computation Reallocation for Object Detection

FLEN: Leveraging Field for Scalable CTR Prediction

Improving One-shot NAS by Suppressing the Posterior Fading

AM-LFS: AutoML for Loss Function Search

Online Hyper-parameter Learning for Auto-Augmentation Strategy

Synaptic Strength For Convolutional Neural Network