Evaluating the local visibility of geometric artifacts. - Jinjiang Guo; Vincent Vidal 002; Atilla Baskurt; Guillaume Lavoué (SAP, 2015)

Contributions to objective and subjective visual quality assessment of 3d models. (Contributions à l'évaluation objective et subjective de la qualité visuelle des modèles 3D). - Jinjiang Guo (2016)

Subjective and Objective Visual Quality Assessment of Textured 3D Meshes. - Jinjiang Guo; Vincent Vidal 002; Irene Cheng 001; Anup Basu; Atilla Baskurt; Guillaume Lavoué (ACM Trans. Appl. Percept., 2017)

Locally Adaptive Learning Loss for Semantic Image Segmentation. - Jinjiang Guo; Pengyuan Ren; Aiguo Gu; Jian Xu; Weixin Wu (CoRR, 2018)

Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction. - Jinjiang Guo; Jie Li; Dawei Leng; Lurong Pan (CoRR, 2021)

Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations. - Dawei Leng; Jinjiang Guo; Lurong Pan; Jie Li; Xinyu Wang (CoRR, 2021)

Real-time tracking of COVID-19 and coronavirus research updates through text mining. - Yutong Jin; Jie Li; Xinyu Wang; Peiyao Li; Jinjiang Guo; Junfeng Wu; Dawei Leng; Lurong Pan (CoRR, 2021)

Sequence-based deep learning antibody design for in silico antibody affinity maturation. - Yue Kang; Dawei Leng; Jinjiang Guo; Lurong Pan (CoRR, 2021)

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation. - Jinjiang Guo; Qi Liu; Han Guo; Xi Lu (CoRR, 2022)

Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations. - Jinjiang Guo; Jie Li (CoRR, 2023)