b'Fei Sun'

Revisit Recommender System in the Permutation Prospective

Recommender systems (RS) work effective at alleviating information overl...
02/24/2021 ∙ by Yufei Feng, et al. ∙ 0 ∙ share

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Graph Attention Collaborative Similarity Embedding for Recommender System

We present Graph Attention Collaborative Similarity Embedding (GACSE), a...
02/05/2021 ∙ by Jinbo Song, et al. ∙ 0 ∙ share

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CLEAR: Contrastive Learning for Sentence Representation

Pre-trained language models have proven their unique powers in capturing...
12/31/2020 ∙ by Zhuofeng Wu, et al. ∙ 0 ∙ share

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Graph Neural Networks in Recommender Systems: A Survey

With the explosive growth of online information, recommender systems pla...
11/04/2020 ∙ by Shiwen Wu, et al. ∙ 0 ∙ share

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Contrastive Pre-training for Sequential Recommendation

Sequential recommendation methods play a crucial role in modern recommen...
10/27/2020 ∙ by Xu Xie, et al. ∙ 0 ∙ share

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Unclicked User Behaviors Enhanced Sequential Recommendation

Deep learning-based sequential recommender systems have recently attract...
10/24/2020 ∙ by Fuyu Lv, et al. ∙ 0 ∙ share

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NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Learning informative representations (aka. embeddings) of users and item...
10/23/2020 ∙ by Jinbo Song, et al. ∙ 0 ∙ share

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MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction

Click-through rate (CTR) prediction is a critical task for many industri...
08/13/2020 ∙ by Yufei Feng, et al. ∙ 0 ∙ share

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Ranking Enhanced Dialogue Generation

How to effectively utilize the dialogue history is a crucial problem in ...
08/13/2020 ∙ by Changying Hao, et al. ∙ 7 ∙ share

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Learning Personalized Risk Preferences for Recommendation

The rapid growth of e-commerce has made people accustomed to shopping on...
07/06/2020 ∙ by Yingqiang Ge, et al. ∙ 0 ∙ share

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Understanding Echo Chambers in E-commerce Recommender Systems

Personalized recommendation benefits users in accessing contents of inte...
07/06/2020 ∙ by Yingqiang Ge, et al. ∙ 0 ∙ share

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Computation on Sparse Neural Networks: an Inspiration for Future Hardware

Neural network models are widely used in solving many challenging proble...
04/24/2020 ∙ by Fei Sun, et al. ∙ 0 ∙ share

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A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods

To address the large model size and intensive computation requirement of...
04/12/2020 ∙ by Tianyun Zhang, et al. ∙ 13 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Fei Sun

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