13 citations · 20 across the 4 of their papers we have counts for
5 papers
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…
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…