54 citations · 79 across the 6 of their papers we have counts for
6 papers
Sequence-based deep learning antibody design for in silico antibody affinity maturation
Yue Kang, Dawei Leng, Jinjiang Guo +1
Antibody therapeutics has been extensively studied in drug discovery and development within the past decades. One increasingly popular focus in the antibody discovery pipeline is t…
Real-time tracking of COVID-19 and coronavirus research updates through text mining
Yutong Jin, Jie Li, Xinyu Wang +5
The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are e…
Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations
Dawei Leng, Jinjiang Guo, Lurong Pan +2
Graph neural networks are emerging as continuation of deep learning success w.r.t. graph data. Tens of different graph neural network variants have been proposed, most following a…
Subjective and Objective Visual Quality Assessment of Textured 3D Meshes
Jinjiang Guo, Vincent Vidal, Irene Cheng +3
Objective visual quality assessment of 3D models is a fundamental issue in computer graphics. Quality assessment metrics may allow a wide range of processes to be guided and evalua…
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction
Jinjiang Guo, Jie Li, Dawei Leng +1
Multi-scale biomedical knowledge networks are expanding with emerging experimental technologies that generates multi-scale biomedical big data. Link prediction is increasingly used…
Locally Adaptive Learning Loss for Semantic Image Segmentation
Jinjiang Guo, Pengyuan Ren, Aiguo Gu +2
We propose a novel locally adaptive learning estimator for enhancing the inter- and intra- discriminative capabilities of Deep Neural Networks, which can be used as improved loss l…