25 citations · 31 across the 4 of their papers we have counts for
4 papers
Consecutive Question Generation via Dynamic Multitask Learning
Yunji Li, Sujian Li, Xing Shi
In this paper, we propose the task of consecutive question generation (CQG), which generates a set of logically related question-answer pairs to understand a whole passage, with a…
Fast Locality Sensitive Hashing for Beam Search on GPU
Xing Shi, Shizhen Xu, Kevin Knight
We present a GPU-based Locality Sensitive Hashing (LSH) algorithm to speed up beam search for sequence models. We utilize the winner-take-all (WTA) hash, which is based on relative…
A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes
Kuan Liu, Xing Shi, Prem Natarajan
Attributes, such as metadata and profile, carry useful information which in principle can help improve accuracy in recommender systems. However, existing approaches have difficulty…
Temporal Learning and Sequence Modeling for a Job Recommender System
Kuan Liu, Xing Shi, Anoop Kumar +2
We present our solution to the job recommendation task for RecSys Challenge 2016. The main contribution of our work is to combine temporal learning with sequence modeling to captur…