20 citations · 55 across the 11 of their papers we have counts for
11 papers
Unified Vision-Language Representation Modeling for E-Commerce Same-Style Products Retrieval
Ben Chen, Linbo Jin, Xinxin Wang +3
Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same products which may have different text descriptions or images. It can be…
Masked Vision-Language Transformer in Fashion
Ge-Peng Ji, Mingcheng Zhuge, Dehong Gao +3
We present a masked vision-language transformer (MVLT) for fashion-specific multi-modal representation. Technically, we simply utilize vision transformer architecture for replacing…
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Guangyuan Shen, Dehong Gao, Duanxiao Song +5
Client selection schemes are widely adopted to handle the communication-efficient problems in recent studies of Federated Learning (FL). However, the large variance of the model up…
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection
Guangyuan Shen, Dehong Gao, Libin Yang +4
Client selection strategies are widely adopted to handle the communication-efficient problem in recent studies of Federated Learning (FL). However, due to the large variance of the…
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Fuwei Zhang, Zhao Zhang, Xiang Ao +4
Cross-Lingual Information Retrieval (CLIR) aims to rank the documents written in a language different from the user's query. The intrinsic gap between different languages is an ess…
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
Mingchen Zhuge, Dehong Gao, Deng-Ping Fan +5
We present a new vision-language (VL) pre-training model dubbed Kaleido-BERT, which introduces a novel kaleido strategy for fashion cross-modality representations from transformers…
Network Clustering for Multi-task Learning
Dehong Gao, Wenjing Yang, Huiling Zhou +3
The Multi-Task Learning (MTL) technique has been widely studied by word-wide researchers. The majority of current MTL studies adopt the hard parameter sharing structure, where hard…
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
Ben Chen, Bin Chen, Dehong Gao +5
With the pandemic of COVID-19, relevant fake news is spreading all over the sky throughout the social media. Believing in them without discrimination can cause great trouble to peo…
EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
Minghui Qiu, Peng Li, Chengyu Wang +8
The literature has witnessed the success of leveraging Pre-trained Language Models (PLMs) and Transfer Learning (TL) algorithms to a wide range of Natural Language Processing (NLP)…
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
Dehong Gao, Linbo Jin, Ben Chen +5
In this paper, we address the text and image matching in cross-modal retrieval of the fashion industry. Different from the matching in the general domain, the fashion matching is r…
Deep Hierarchical Classification for Category Prediction in E-commerce System
Dehong Gao, Wenjing Yang, Huiling Zhou +3
In e-commerce system, category prediction is to automatically predict categories of given texts. Different from traditional classification where there are no relations between clas…