activity
20092023
most citedWasserstein Distance Guided Representation Learning for Domain Adaptation

291 citations · 336 across the 16 of their papers we have counts for

collaborators

16 papers

cs.IR2023

Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation

Xianyu Chen, Jian Shen, Wei Xia +9

With the development of the online education system, personalized education recommendation has played an essential role. In this paper, we focus on developing path recommendation s…

cs.SD2023

Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator

Yunhao Chen, Yunjie Zhu, Zihui Yan +3

Despite consistent advancement in powerful deep learning techniques in recent years, large amounts of training data are still necessary for the models to avoid overfitting. Synthet…

math.CO2020

New upper bounds for the bondage number of a graph in terms of its maximum degree and Euler characteristic

Jia Huang, Jian Shen

The bondage number of a graph is the smallest number of edges whose removal from results in a graph with larger domination number. Let be embeddable on a surface…

cs.LG2019★ 9 cited

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Zhiming Zhou, Jian Shen, Yuxuan Song +2

Lipschitz continuity recently becomes popular in generative adversarial networks (GANs). It was observed that the Lipschitz regularized discriminator leads to improved training sta…

cs.CL2018★ 5 cited

Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition

Zhenghui Wang, Yanru Qu, Liheng Chen +7

We study the problem of named entity recognition (NER) from electronic medical records, which is one of the most fundamental and critical problems for medical text mining. Medical…

stat.ML2017★ 291 cited

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Jian Shen, Yanru Qu, Weinan Zhang +1

Domain adaptation aims at generalizing a high-performance learner on a target domain via utilizing the knowledge distilled from a source domain which has a different but related da…