Medical Image Segmentation using Squeeze-and-Expansion Transformers S Li, X Sui, X Luo, X Xu, Y Liu, RSM Goh International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 158 | 2021 |
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 | 132 | 2016 |
Laplacian-Steered Neural Style Transfer S Li, X Xu, L Nie, TS Chua Proceedings of the 2017 ACM on Multimedia Conference, 2017 | 119 | 2017 |
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 | 105 | 2015 |
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow X Sui, S Li, X Geng, Y Wu, X Xu, Y Liu, R Goh, H Zhu CVPR 2022, 2022 | 95 | 2022 |
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 | 95 | 2021 |
Multi-instance multi-scale CNN for medical image classification S Li, Y Liu, X Sui, C Chen, G Tjio, DSW Ting, RSM Goh Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 57 | 2019 |
Mobile App Tagging N Chen, SCH Hoi, S Li, X Xiao Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 48 | 2016 |
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 | 43 | 2015 |
Author name disambiguation using a new categorical distribution similarity S Li, G Cong, C Miao Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 37 | 2012 |
Graph neural entity disambiguation L Hu, J Ding, C Shi, C Shao, S Li Knowledge-Based Systems 195, 105620, 2020 | 29 | 2020 |
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 | 26 | 2020 |
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 | 23 | 2021 |
Few-shot domain adaptation with polymorphic transformers S Li, X Sui, J Fu, H Fu, X Luo, Y Feng, X Xu, Y Liu, DSW Ting, RSM Goh Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 19 | 2021 |
PSDVec: A toolbox for incremental and scalable word embedding S Li, J Zhu, C Miao Neurocomputing 237, 405-409, 2017 | 19 | 2017 |
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment H Fang, F Li, H Fu, X Sun, X Cao, J Son, S Yu, M Zhang, C Yuan, C Bian, ... arXiv preprint arXiv:2202.08994, 2022 | 17 | 2022 |
Text-Graph Enhanced Knowledge Graph Representation Learning L Hu, M Zhang, S Li, J Shi, C Shi, C Yang, Z Liu Frontiers in Artificial Intelligence, 118, 2021 | 15 | 2021 |
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis Y Feng, Z Wang, X Xu, Y Wang, H Fu, S Li, L Zhen, X Lei, Y Cui, JSZ Ting, ... Medical Image Analysis 83, 102664, 2023 | 13 | 2023 |
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 | 10 | 2012 |
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 | 7 | 2019 |