Transfer learning (TL) utilizes data or knowledge from one more source domains to facilitate in a target domain. It is particularly useful when the domain has very few no labeled data, due annotation expense, privacy concerns, etc. Unfortunately, effectiveness of TL not always guaranteed. Negative transfer (NT), i.e., leveraging data/knowledge undesirably reduces performance domain, and been lo...