Qiang Yang

TL;DR: Wang et al. as mentioned in this paper investigated carbon emissions caused by the transport sectors of 30 Chinese provinces from 2005 to 2019, and combined the decoupling index with a panel threshold analysis, showing that the inhibitory effect of energy efficiency on carbon emissions in the transportation industry is increasing as energy efficiency improves.

TL;DR: Example Transfer Network (ETN) as mentioned in this paper proposes a progressive weighting scheme that quantifies the transferability of source examples while controlling their importance to the learning task in the target domain, which achieves state-of-the-art results for partial domain adaptation tasks.

TL;DR: A novel learning framework to incorporate reviewer and product information into the text based learner for rating prediction, which has a significant improvement compared to state of the art methods, especially for reviews with unpopular products and inactive reviewers.

TL;DR: This service-side solution uses graph data mining to distinguish spammers from nonspammers and detect spam without checking a message's contents.

TL;DR: This work developed matrix factorization models that can be trained from explicit and implicit feedback simultaneously and showed that the algorithm could effectively combine these two forms of heterogeneous user feedback to improve recommendation quality.