Shaohua Li
Shaohua Li
Scientist, Institute of High Performance Computing
Verified email at ihpc.a-star.edu.sg - Homepage
Title
Cited by
Cited by
Year
Generative topic embedding: a continuous representation of documents
S Li, TS Chua, J Zhu, C Miao
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
942016
SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning
N Chen, SCH Hoi, S Li, X Xiao
Proceedings of the Eighth ACM International Conference on Web Search and …, 2015
832015
Laplacian-Steered Neural Style Transfer
S Li, X Xu, L Nie, TS Chua
Proceedings of the 2017 ACM on Multimedia Conference, 2017
612017
Mobile App Tagging
N Chen, SCH Hoi, S Li, X Xiao
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
402016
Author name disambiguation using a new categorical distribution similarity
S Li, G Cong, C Miao
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
362012
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
S Li, J Zhu, C Miao
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
282015
PSDVec: A toolbox for incremental and scalable word embedding
S Li, J Zhu, C Miao
Neurocomputing 237, 405-409, 2017
142017
Multi-Instance Multi-Scale CNN for Medical Image Classification
S Li, Y Liu, X Sui, C Chen, G Tjio, DSW Ting, RSM Goh
International Conference on Medical Image Computing and Computer-Assisted …, 2019
102019
A k-NN method for large scale hierarchical text classification at LSHTC3
X Han, S Li, Z Shen
Proceedings of the 2012 ECML/PKDD Discovery Challenge Workshop on Large …, 2012
92012
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study
YC Tham, A Anees, L Zhang, JHL Goh, TH Rim, S Nusinovici, H Hamzah, ...
The Lancet Digital Health 3 (1), e29-e40, 2021
82021
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study
TE Tan, A Anees, C Chen, S Li, X Xu, Z Li, Z Xiao, Y Yang, X Lei, M Ang, ...
The Lancet Digital Health 3 (5), e317-e329, 2021
62021
Medical Image Segmentation using Squeeze-and-Expansion Transformers
S Li, X Sui, X Luo, X Xu, Y Liu, RSM Goh
IJCAI, 2021
62021
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)
S Li, TS Chua, J Zhu, C Miao
arXiv preprint arXiv:1606.02979, 2016
62016
Graph neural entity disambiguation
L Hu, J Ding, C Shi, C Shao, S Li
Knowledge-Based Systems 195, 105620, 2020
52020
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
T Wang, WQ Toh, H Zhang, X Sui, S Li, Y Liu, W Jing
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10402 …, 2020
52020
Sparse canonical correlation analysis reveals correlated patterns of gray matter loss and white matter impairment in alzheimer's disease
X Sui, S Li, J Liu, X Zhang, C Yu, T Jiang
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 470-473, 2015
32015
Factorial hidden markov models estimation device, method, and program
R Fujimaki, S Li
US Patent App. 13/898,087, 2014
32014
Crack Profile Reconstruction from Eddy Current Signals with an Encoder-Decoder Convolutional Neural Network
S Li, A Anees, Y Zhong, Z Yang, Y Liu, RSM Goh, EX Liu
2019 IEEE Asia-Pacific Microwave Conference (APMC), 96-98, 2019
22019
Document Visualization using Topic Clouds
S Li, TS Chua
https://arxiv.org/abs/1702.01520, 2017
22017
Learning to Reconstruct Crack Profiles for Eddy Current Nondestructive Testing
S Li, A Anees, Y Zhong, Z Yang, Y Liu, RSM Goh, EX Liu
arXiv preprint arXiv:1910.08721, 2019
12019
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Articles 1–20