4 citations · 5 across the 6 of their papers we have counts for
6 papers
Building explainable graph neural network by sparse learning for the drug-protein binding prediction
Yang Wang, Zanyu Shi, Timothy Richardson +3
Explainable Graph Neural Networks (GNNs) have been developed and applied to drug-protein binding prediction to identify the key chemical structures in a drug that have active inter…
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona
Yihong Tang, Bo Wang, Miao Fang +4
The personalized dialogue explores the consistent relationship between dialogue generation and personality. Existing personalized dialogue agents model persona profiles from three…
An entropy-controlled objective chip for reflective confocal microscopy with subdiffraction-limit resolution
Jun He, Dong Zhao, Hong Liu +3
Planar lenses with optimized but disordered structures can focus light beyond the diffraction limit. However, these disordered structures have inevitably destroyed wide-field imagi…
Deep 360 Optical Flow Estimation Based on Multi-Projection Fusion
Yiheng Li, Connelly Barnes, Kun Huang +1
Optical flow computation is essential in the early stages of the video processing pipeline. This paper focuses on a less explored problem in this area, the 360 optical flow…
iGPSe: A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification
Hao Ding, Chao Wang, Kun Huang +1
Background: Cancers are highly heterogeneous with different subtypes. These subtypes often possess different genetic variants, present different pathological phenotypes, and most i…
Network Backbone Discovery Using Edge Clustering
Ning Ruan, Ruoming Jin, Guan Wang +1
In this paper, we investigate the problem of network backbone discovery. In complex systems, a "backbone" takes a central role in carrying out the system functionality and carries…