b'Fei Sun'

research

∙ 05/25/2023

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

The generalization of neural networks is a central challenge in machine ...

0 Yige Yuan, et al. ∙

research

∙ 04/07/2023

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method

The development of knowledge graph (KG) applications has led to a rising...

0 Xuhui Jiang, et al. ∙

research

∙ 10/28/2022

LegoNet: A Fast and Exact Unlearning Architecture

Machine unlearning aims to erase the impact of specific training samples...

0 Sihao Yu, et al. ∙

research

∙ 08/11/2022

MILAN: Masked Image Pretraining on Language Assisted Representation

Self-attention based transformer models have been dominating many comput...

0 Zejiang Hou, et al. ∙

research

∙ 06/24/2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Learned recommender systems may inadvertently leak information about the...

10 Zihan Wang, et al. ∙

research

∙ 04/01/2022

Proactively Control Privacy in Recommender Systems

Recently, privacy issues in web services that rely on users' personal da...

0 Ziqian Chen, et al. ∙

research

∙ 03/09/2022

Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning

Weight pruning in deep neural networks (DNNs) can reduce storage and com...

0 Guyue Huang, et al. ∙

research

∙ 01/18/2022

Recommendation Unlearning

Recommender systems provide essential web services by learning users' pe...

0 Chong Chen, et al. ∙

research

∙ 12/21/2021

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting

Deep neural networks (DNNs) have shown to provide superb performance in ...

0 Minghai Qin, et al. ∙

research

∙ 12/20/2021

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks

Deep neural networks (DNNs) have been proven to be effective in solving ...

0 Fei Sun, et al. ∙

research

∙ 08/30/2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Despite significant progress has been achieved in text summarization, fa...

0 Yuexiang Xie, et al. ∙

research

∙ 05/28/2021

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

To improve user experience and profits of corporations, modern industria...

0 Xu Xie, et al. ∙

research

∙ 05/20/2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Conversational recommender systems (CRS) enable the traditional recommen...

0 Yang Deng, et al. ∙

research

∙ 04/02/2021

GRN: Generative Rerank Network for Context-wise Recommendation

Reranking is attracting incremental attention in the recommender systems...

0 Yufei Feng, et al. ∙

research

∙ 03/08/2021

Semantic Models for the First-stage Retrieval: A Comprehensive Review

Multi-stage ranking pipelines have been a practical solution in modern s...

0 Yinqiong Cai, et al. ∙

research

∙ 02/28/2021

Explore User Neighborhood for Real-time E-commerce Recommendation

Recommender systems play a vital role in modern online services, such as...

0 Xu Xie, et al. ∙

research

∙ 02/24/2021

Revisit Recommender System in the Permutation Prospective

Recommender systems (RS) work effective at alleviating information overl...

0 Yufei Feng, et al. ∙

research

∙ 02/05/2021

Graph Attention Collaborative Similarity Embedding for Recommender System

We present Graph Attention Collaborative Similarity Embedding (GACSE), a...

0 Jinbo Song, et al. ∙

research

∙ 12/31/2020

CLEAR: Contrastive Learning for Sentence Representation

Pre-trained language models have proven their unique powers in capturing...

0 Zhuofeng Wu, et al. ∙

research

∙ 11/04/2020

Graph Neural Networks in Recommender Systems: A Survey

With the explosive growth of online information, recommender systems pla...

0 Shiwen Wu, et al. ∙

research

∙ 10/27/2020

Contrastive Pre-training for Sequential Recommendation

Sequential recommendation methods play a crucial role in modern recommen...

0 Xu Xie, et al. ∙

research

∙ 10/24/2020

Unclicked User Behaviors Enhanced Sequential Recommendation

Deep learning-based sequential recommender systems have recently attract...

0 Fuyu Lv, et al. ∙

research

∙ 10/23/2020

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Learning informative representations (aka. embeddings) of users and item...

0 Jinbo Song, et al. ∙

research

∙ 08/13/2020

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

Click-through rate (CTR) prediction is a critical task for many industri...

0 Yufei Feng, et al. ∙

research

∙ 08/13/2020

Ranking Enhanced Dialogue Generation

How to effectively utilize the dialogue history is a crucial problem in ...

7 Changying Hao, et al. ∙

research

∙ 07/06/2020

Learning Personalized Risk Preferences for Recommendation

The rapid growth of e-commerce has made people accustomed to shopping on...

0 Yingqiang Ge, et al. ∙

research

∙ 07/06/2020

Understanding Echo Chambers in E-commerce Recommender Systems

Personalized recommendation benefits users in accessing contents of inte...

0 Yingqiang Ge, et al. ∙

research

∙ 04/24/2020

Computation on Sparse Neural Networks: an Inspiration for Future Hardware

Neural network models are widely used in solving many challenging proble...

0 Fei Sun, et al. ∙

research

∙ 04/12/2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods

To address the large model size and intensive computation requirement of...

13 Tianyun Zhang, et al. ∙

research

∙ 03/12/2020

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

Recently, with the availability of cost-effective depth cameras coupled ...

0 Zhize Wu, et al. ∙

research

∙ 02/27/2020

Learning in the Frequency Domain

Deep neural networks have achieved remarkable success in computer vision...

9 Kai Xu, et al. ∙

research

∙ 11/06/2019

MLPerf Inference Benchmark

Machine-learning (ML) hardware and software system demand is burgeoning....

27 Vijay Janapa Reddi, et al. ∙

research

∙ 09/01/2019

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

Capturing users' precise preferences is a fundamental problem in large-s...

0 Fuyu Lv, et al. ∙

research

∙ 06/14/2019

Improving Multi-turn Dialogue Modelling with Utterance ReWriter

Recent research has made impressive progress in single-turn dialogue mod...

0 Hui Su, et al. ∙

research

∙ 05/17/2019

Exact-K Recommendation via Maximal Clique Optimization

This paper targets to a novel but practical recommendation problem named...

0 Yu Gong, et al. ∙

research

∙ 05/16/2019

Deep Session Interest Network for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction plays an important role in many indu...

0 Yufei Feng, et al. ∙

research

∙ 05/06/2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Increasing demand for fashion recommendation raises a lot of challenges ...

0 Wen Chen, et al. ∙

research

∙ 04/17/2019

Compositional Network Embedding

Network embedding has proved extremely useful in a variety of network an...

0 Tianshu Lyu, et al. ∙

research

∙ 04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...

16 Sergei Alyamkin, et al. ∙

research

∙ 04/15/2019

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

Ranking is a core task in E-commerce recommender systems, which aims at ...

0 Changhua Pei, et al. ∙

research

∙ 04/14/2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Modeling users' dynamic and evolving preferences from their historical b...

0 Fei Sun, et al. ∙

research

∙ 02/03/2019

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

Existing recommendation algorithms mostly focus on optimizing traditiona...

0 Changhua Pei, et al. ∙

research

∙ 12/21/2018

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

This paper proposes an efficient neural network (NN) architecture design...

0 Xiaoliang Dai, et al. ∙

research

∙ 12/09/2018

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

Designing accurate and efficient ConvNets for mobile devices is challeng...

0 Bichen Wu, et al. ∙

research

∙ 10/03/2018

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...

6 Sergei Alyamkin, et al. ∙

research

∙ 08/21/2018

Multi-Source Pointer Network for Product Title Summarization

In this paper, we study the product title summarization problem in E-com...

0 Fei Sun, et al. ∙

research

∙ 03/24/2016

Semantic Regularities in Document Representations

Recent work exhibited that distributed word representations are good at ...

0 Fei Sun, et al. ∙

research

∙ 08/26/2015

Component-Enhanced Chinese Character Embeddings

Distributed word representations are very useful for capturing semantic ...

0 Yanran Li, et al. ∙

Fei Sun

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