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Shufeng Kong
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Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings
S Kong, F Ricci, D Guevarra, JB Neaton, CP Gomes, JM Gregoire
Nature communications 13 (1), 949, 2022
492022
Materials representation and transfer learning for multi-property prediction
S Kong, D Guevarra, CP Gomes, JM Gregoire
Applied Physics Reviews 8 (2), 2021
472021
Disentangled variational autoencoder based multi-label classification with covariance-aware multivariate probit model
J Bai, S Kong, C Gomes
arXiv preprint arXiv:2007.06126, 2020
302020
CRYSTAL: a multi-agent AI system for automated mapping of materials' crystal structures
CP Gomes, J Bai, Y Xue, J Björck, B Rappazzo, S Ament, R Bernstein, ...
MRS Communications 9 (2), 600-608, 2019
292019
Gaussian mixture variational autoencoder with contrastive learning for multi-label classification
J Bai, S Kong, CP Gomes
International Conference on Machine Learning, 1383-1398, 2022
202022
Hot-vae: Learning high-order label correlation for multi-label classification via attention-based variational autoencoders
W Zhao, S Kong, J Bai, D Fink, C Gomes
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15016 …, 2021
192021
Deep hurdle networks for zero-inflated multi-target regression: Application to multiple species abundance estimation
S Kong, J Bai, JH Lee, D Chen, A Allyn, M Stuart, M Pinsky, K Mills, ...
arXiv preprint arXiv:2010.16040, 2020
162020
Detection of pedestrians at night time using learning-based method and head validation
Q Liu, J Zhuang, S Kong
2012 IEEE International Conference on Imaging Systems and Techniques …, 2012
132012
Detection of pedestrians for far-infrared automotive night vision systems using learning-based method and head validation
Q Liu, J Zhuang, S Kong
Measurement Science and Technology 24 (7), 074022, 2013
122013
Shufeng Kong, and Carla P Gomes. Gaussian mixture variational autoencoder with contrastive learning for multi-label classification
J Bai
International Conference on Machine Learning, 1383-1398, 2022
82022
Shufeng Kong, and Carla Gomes
J Bai
Disentangled variational autoencoder based multi-label classification with …, 2020
82020
Pretrained cost model for distributed constraint optimization problems
Y Deng, S Kong, B An
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9331-9340, 2022
72022
Multiagent simple temporal problem: The Arc-consistency approach
S Kong, JH Lee, S Li
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
72018
Exploring directional path-consistency for solving constraint networks
S Kong, S Li, M Sioutis
The Computer Journal 61 (9), 1338-1350, 2018
52018
On tree-preserving constraints
S Kong, S Li, Y Li, Z Long
Annals of Mathematics and Artificial Intelligence 81, 241-271, 2017
52017
Xtal2DoS: Attention-based crystal to sequence learning for density of states prediction
J Bai, Y Du, Y Wang, S Kong, J Gregoire, C Gomes
arXiv preprint arXiv:2302.01486, 2023
42023
Deep attentive belief propagation: Integrating reasoning and learning for solving constraint optimization problems
Y Deng, S Kong, C Liu, B An
Advances in Neural Information Processing Systems 35, 25436-25449, 2022
42022
Shufeng Kong, Junwen Bai, Daniel Fink, and Carla Gomes. Hot-vae: Learning high-order label correlation for multi-label classification via attention-based variational autoencoders
W Zhao
Proceedings of the AAAI Conference on Artificial Intelligence 35, 15016-15024, 2021
42021
Shufeng Kong, Santosh K Suram, R Bruce van Dover, et al
CP Gomes, J Bai, Y Xue, J Björck, B Rappazzo, S Ament, R Bernstein
Crystal: a multi-agent ai system for automated mapping of materials’ crystal …, 2019
42019
Critical information quality dimensions of conversational agents for healthcare
C Liu, G Peng, S Kong, C Lan, H Zhu
Information Research 28 (4), 18, 2023
22023
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