| Effect of folded and crumpled morphologies of graphene oxide platelets on the mechanical performances of polymer nanocomposites J Shang, Y Chen, Y Zhou, L Liu, G Wang, X Li, J Kuang, Q Liu, Z Dai, ... Polymer 68, 131-139, 2015 | 55 | 2015 |
| Geometric Hawkes processes with graph convolutional recurrent neural networks J Shang, M Sun Thirty-Three AAAI Conference on Artificial Intelligence (AAAI’19), 2019 | 43 | 2019 |
| Demographic inference via knowledge transfer in cross-domain recommender systems J Shang, M Sun, K Collins-Thompson 2018 IEEE International Conference on Data Mining (ICDM), 1218-1223, 2018 | 15 | 2018 |
| Local low-rank Hawkes processes for temporal user-item interactions J Shang, M Sun 2018 IEEE International Conference on Data Mining (ICDM), 427-436, 2018 | 14 | 2018 |
| Learning attribute and class-specific representation duet for fine-grained fashion analysis Y Jiao, Y Gao, J Meng, J Shang, Y Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| List-wise fairness criterion for point processes J Shang, M Sun, NSN Lam Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 8 | 2020 |
| A machine learning approach for detecting rescue requests from social media Z Wang, NSN Lam, M Sun, X Huang, J Shang, L Zou, Y Wu, VV Mihunov ISPRS International Journal of Geo-Information 11 (11), 570, 2022 | 7 | 2022 |
| Local low-rank Hawkes processes for modeling temporal user–item interactions J Shang, M Sun Knowledge and Information Systems, 1-24, 2019 | 5 | 2019 |
| Multi-task learning on heterogeneous graph neural network for substitute recommendation T Zhou, M Momma, C Dong, F Yang, C Guo, J Shang, JK Liu | 4 | 2023 |
| Transitivity-encoded graph attention networks for complementary item recommendations J Shang, YA Jiao, C Guo, A Sun, Y Gao, JK Liu, M Momma, I Taru, Y Sun | 1 | 2024 |
| Predictive Modeling of Asynchronous Event Sequence Data J Shang Louisiana State University and Agricultural & Mechanical College, 2020 | | 2020 |
| Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection J Shang, S Shao, T Tong, F Yang, Y Chen, Y Jiao, J Liu, Y Gao | | |
Mingxuan SunAssociate Professor, Louisiana State UniversityBestätigte E-Mail-Adresse bei csc.lsu.edu