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Jin Shang
Jin Shang
Applied Scientist II, Amazon
Dirección de correo verificada de amazon.com - Página principal
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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
542015
Geometric Hawkes processes with graph convolutional recurrent neural networks
J Shang, M Sun
Thirty-Three AAAI Conference on Artificial Intelligence (AAAI’19), 2019
432019
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
142018
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
142018
List-wise fairness criterion for point processes
J Shang, M Sun, NSN Lam
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
82020
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
72023
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
62022
Local low-rank Hawkes processes for modeling temporal user–item interactions
J Shang, M Sun
Knowledge and Information Systems, 1-24, 2019
52019
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
42023
Transitivity-encoded graph attention networks for complementary item recommendations
J Shang, YA Jiao, C Guo, M Sun, Y Gao, JK Liu, M Momma, I Taru, Y Sun
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
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Artículos 1–12