| 2024 | ESANN | Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms. | Loc Tran, Bac Le, Thanh Le |
| 2022 | ACIIDS | A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph. | Thanh Le, Loc Tran, Bac Le |
| 2022 | KSEM | Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs. | Thanh Le, Chi Tran, Loc Tran, Bac Le |
| 2015 | IPAS | Adaptive graph construction for Isomap manifold learning. | Loc Tran, Zezhong Zheng, Guoqing Zhou, Jiang Li |
| 2015 | IPAS | A comparative study of two prediction models for brain tumor progression. | Deqi Zhou, Loc Tran, Jihong Wang, Jiang Li |
| 2014 | MICCAI | Robust Deep Learning for Improved Classification of AD/MCI Patients. | Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li |
| 2013 | MICCAI | Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. | Loc Tran, Frederic D. McKenzie, Jihong Wang, Jiang Li |
| 2011 | MICCAI | A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. | Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li |