1.5k citations · 3.3k across the 54 of their papers we have counts for
11 papers · 1 filter
Towards Topic-Guided Conversational Recommender System
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao +2
Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. To develop an effective CRS, the support of high-quality da…
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Shuqing Bian, Xu Chen, Wayne Xin Zhao +5
With the ever-increasing growth of online recruitment data, job-resume matching has become an important task to automatically match jobs with suitable resumes. This task is typical…
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
Guangming Yao, Yi Yuan, Tianjia Shao +1
Face reenactment aims to animate a source face image to a different pose and expression provided by a driving image. Existing approaches are either designed for a specific identity…
Second-order Neural Network Training Using Complex-step Directional Derivative
Siyuan Shen, Tianjia Shao, Kun Zhou +3
While the superior performance of second-order optimization methods such as Newton's method is well known, they are hardly used in practice for deep learning because neither assemb…
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen, He Wang, Yi Yuan +2
Human motion modelling is crucial in many areas such as computer graphics, vision and virtual reality. Acquiring high-quality skeletal motions is difficult due to the need for spec…
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Wayne Xin Zhao +5
Recently, significant progress has been made in sequential recommendation with deep learning. Existing neural sequential recommendation models usually rely on the item prediction l…