400 citations · 405 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 400 cited
A Survey on Negative Transfer
Wen Zhang, Lingfei Deng, Lei Zhang +1
Transfer learning (TL) utilizes data or knowledge from one or more source domains to facilitate the learning in a target domain. It is particularly useful when the target domain ha…
cs.LG2019★ 5 cited
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation
Wen Zhang, Dongrui Wu
Maximum mean discrepancy (MMD) has been widely adopted in domain adaptation to measure the discrepancy between the source and target domain distributions. Many existing domain adap…
cs.HC2019
Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces
Wen Zhang, Dongrui Wu
Transfer learning makes use of data or knowledge in one problem to help solve a different, yet related, problem. It is particularly useful in brain-computer interfaces (BCIs), for…