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Xin Wang
382 publications
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107 publications
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97 publications
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∙ 06/26/2022

Automatic Generation of Product-Image Sequence in E-commerce

Product images are essential for providing desirable user experience in ...

9 Xiaochuan Fan, et al. ∙

∙ 06/21/2022

Automatic Controllable Product Copywriting for E-Commerce

Automatic product description generation for e-commerce has witnessed si...

2 Xiaojie Guo, et al. ∙

∙ 06/15/2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge

Graph Neural Networks (GNNs) have gained great popularity in tackling va...

1 Zhizhi Yu, et al. ∙

∙ 05/24/2022

Meta Policy Learning for Cold-Start Conversational Recommendation

Conversational recommender systems (CRS) explicitly solicit users' prefe...

9 Zhendong Chu, et al. ∙

∙ 05/21/2022

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

In this paper, we proposed an automatic Scenario-based Multi-product Adv...

7 Xueying Zhang, et al. ∙

∙ 04/12/2022

SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection

Convolutional neural networks (CNNs) are good at extracting contexture f...

4 Zhengyi Liu, et al. ∙

∙ 03/24/2022

Beyond Fixation: Dynamic Window Visual Transformer

Recently, a surge of interest in visual transformers is to reduce the co...

0 Pengzhen Ren, et al. ∙

∙ 03/16/2022

Reducing Flipping Errors in Deep Neural Networks

Deep neural networks (DNNs) have been widely applied in various domains ...

0 Xiang Deng, et al. ∙

∙ 03/09/2022

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes

Product quantization (PQ) coupled with a space rotation, is widely used ...

0 Yunjiang Jiang, et al. ∙

∙ 02/01/2022

Sequential Search with Off-Policy Reinforcement Learning

Recent years have seen a significant amount of interests in Sequential R...

9 Dadong Miao, et al. ∙

∙ 12/16/2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

In the past decade, automatic product description generation for e-comme...

8 Xiaojie Guo, et al. ∙

∙ 12/15/2021

Automatic Product Copywriting for E-Commerce

Product copywriting is a critical component of e-commerce recommendation...

7 Xueying Zhang, et al. ∙

∙ 12/15/2021

DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization

We propose a novel domain-specific generative pre-training (DS-GPT) meth...

0 Xueying Zhang, et al. ∙

∙ 08/09/2021

TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network

Salient object detection is the pixel-level dense prediction task which ...

0 Zhengyi Liu, et al. ∙

∙ 07/01/2021

SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search

Graph convolution networks (GCN), which recently becomes new state-of-th...

0 Xinlin Xia, et al. ∙

∙ 05/09/2021

Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index

Embedding index that enables fast approximate nearest neighbor(ANN) sear...

0 Han Zhang, et al. ∙

∙ 05/01/2021

Person Search Challenges and Solutions: A Survey

Person search has drawn increasing attention due to its real-world appli...

0 Xiangtan Lin, et al. ∙

∙ 04/26/2021

A unified Neural Network Approach to E-CommerceRelevance Learning

Result relevance scoring is critical to e-commerce search user experienc...

0 Yunjiang Jiang, et al. ∙

∙ 03/01/2021

Query Rewriting via Cycle-Consistent Translation for E-Commerce Search

Nowadays e-commerce search has become an integral part of many people's ...

0 Yiming Qiu, et al. ∙

∙ 10/20/2020

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search

Relevance has significant impact on user experience and business profit ...

0 Yunjiang Jiang, et al. ∙

∙ 08/30/2020

A Survey of Deep Active Learning

Active learning (AL) attempts to maximize the performance gain of the mo...

148 Pengzhen Ren, et al. ∙

∙ 08/21/2020

Fine-tune BERT for E-commerce Non-Default Search Ranking

The quality of non-default ranking on e-commerce platforms, such as base...

0 Yunjiang Jiang, et al. ∙

∙ 07/24/2020

Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint

Product search is the most common way for people to satisfy their shoppi...

6 Zhuojian Xiao, et al. ∙

∙ 06/03/2020

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...

0 Han Zhang, et al. ∙

∙ 06/03/2020

Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...

0 Han Zhang, et al. ∙

∙ 06/01/2020

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Deep learning has made major breakthroughs and progress in many fields. ...

75 Pengzhen Ren, et al. ∙

∙ 08/25/2018

Saliency Detection via Bidirectional Absorbing Markov Chain

Traditional saliency detection via Markov chain only considers boundarie...

12 Fengling Jiang, et al. ∙

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