Fei Sun

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MLPerf Inference Benchmark

Machine-learning (ML) hardware and software system demand is burgeoning....
11/06/2019 ∙ by Vijay Janapa Reddi, et al. ∙ 27 ∙ share

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Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
04/15/2019 ∙ by Sergei Alyamkin, et al. ∙ 16 ∙ share

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Learning in the Frequency Domain

Deep neural networks have achieved remarkable success in computer vision...
02/27/2020 ∙ by Kai Xu, et al. ∙ 9 ∙ share

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2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
10/03/2018 ∙ by Sergei Alyamkin, et al. ∙ 6 ∙ share

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Semantic Regularities in Document Representations

Recent work exhibited that distributed word representations are good at ...
03/24/2016 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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Component-Enhanced Chinese Character Embeddings

Distributed word representations are very useful for capturing semantic ...
08/26/2015 ∙ by Yanran Li, et al. ∙ 0 ∙ share

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Multi-Source Pointer Network for Product Title Summarization

In this paper, we study the product title summarization problem in E-com...
08/21/2018 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

Designing accurate and efficient ConvNets for mobile devices is challeng...
12/09/2018 ∙ by Bichen Wu, et al. ∙ 0 ∙ share

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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

This paper proposes an efficient neural network (NN) architecture design...
12/21/2018 ∙ by Xiaoliang Dai, et al. ∙ 0 ∙ share

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Compositional Network Embedding

Network embedding has proved extremely useful in a variety of network an...
04/17/2019 ∙ by Tianshu Lyu, et al. ∙ 0 ∙ share

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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

Existing recommendation algorithms mostly focus on optimizing traditiona...
02/03/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Increasing demand for fashion recommendation raises a lot of challenges ...
05/06/2019 ∙ by Wen Chen, et al. ∙ 0 ∙ share

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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Modeling users' dynamic and evolving preferences from their historical b...
04/14/2019 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Ranking is a core task in E-commerce recommender systems, which aims at ...
04/15/2019 ∙ by Changhua Pei, et al. ∙ 0 ∙ share

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Improving Multi-turn Dialogue Modelling with Utterance ReWriter

Recent research has made impressive progress in single-turn dialogue mod...
06/14/2019 ∙ by Hui Su, et al. ∙ 0 ∙ share

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Exact-K Recommendation via Maximal Clique Optimization

This paper targets to a novel but practical recommendation problem named...
05/17/2019 ∙ by Yu Gong, et al. ∙ 0 ∙ share

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Deep Session Interest Network for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction plays an important role in many indu...
05/16/2019 ∙ by Yufei Feng, et al. ∙ 0 ∙ share

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SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

Capturing users' precise preferences is a fundamental problem in large-s...
09/01/2019 ∙ by Fuyu Lv, et al. ∙ 0 ∙ share

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Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information

Recently, with the availability of cost-effective depth cameras coupled ...
03/12/2020 ∙ by Zhize Wu, et al. ∙ 0 ∙ share

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Fei Sun

Featured Co-authors

Yi Zhang

Chao Li

Jun Liu

Jie Zhou

Xin Liu

Kai Xu

Kurt Keutzer

Jun Xu

Wen Chen

Jiaming Xu

Yiran Chen

MLPerf Inference Benchmark

Low-Power Computer Vision: Status, Challenges, Opportunities

Learning in the Frequency Domain

2018 Low-Power Image Recognition Challenge

Semantic Regularities in Document Representations

Component-Enhanced Chinese Character Embeddings

Multi-Source Pointer Network for Product Title Summarization

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

Compositional Network Embedding

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Personalized Context-aware Re-ranking for E-commerce Recommender Systems

Improving Multi-turn Dialogue Modelling with Utterance ReWriter

Exact-K Recommendation via Maximal Clique Optimization

Deep Session Interest Network for Click-Through Rate Prediction

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information