Qiang Yang

TL;DR: A considerable amount of research in case-based reasoning has recently focused on conversational CBR as a means of providing more effective support for interactive problem solving.

TL;DR: This paper proposes a general analysis scheme to theoretically justify that if the source and target domains share similar feature structures, the source domain feature structure is transferable to the target domain, regardless of the change of the labeling functions across domains.

TL;DR: Experimental results show that the proposed algorithm outperforms the traditional Cosine similarity and is superior to LSI, and a novel iterative algorithm for computing non-orthogonal space similarity measures is proposed.

TL;DR: This paper proposes a novel solution to automatically acquire query translation pairs from the knowledge hidden in the click-through data, that are represented by the URL a user clicks after submitting a query to a search engine.

TL;DR: A deep reinforcement learning (DRL) method to build a real-time intelligent vehicle routing and navigation system by formulating the task as a sequence of decisions is proposed and found that the achieved improvement of the proposed method becomes more significant under the maps with more edges and more complicated traffics comparing to the state-of-the-art navigation methods.