| 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 | 115 | 2016 |
| 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 | 98 | 2015 |
| Laplacian-Steered Neural Style Transfer S Li, X Xu, L Nie, TS Chua Proceedings of the 2017 ACM on Multimedia Conference, 2017 | 87 | 2017 |
| 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 | 64 | 2021 |
| Mobile App Tagging N Chen, SCH Hoi, S Li, X Xiao Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 44 | 2016 |
| 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 | 38 | 2012 |
| 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 | 36 | 2015 |
| 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 | 33 | 2021 |
| 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 | 29 | 2019 |
| 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 | 16 | 2022 |
| PSDVec: A toolbox for incremental and scalable word embedding S Li, J Zhu, C Miao Neurocomputing 237, 405-409, 2017 | 15 | 2017 |
| Graph neural entity disambiguation L Hu, J Ding, C Shi, C Shao, S Li Knowledge-Based Systems 195, 105620, 2020 | 13 | 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 | 13 | 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 | 12 | 2021 |
| 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 | 9 | 2012 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 7 | 2021 |
| 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 | 7 | 2021 |
| 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 | 6 | 2022 |
| 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 | 4 | 2019 |
| Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations S Li, X Sui, J Fu, Y Liu, RSM Goh arXiv preprint arXiv:2004.05554, 2020 | 3 | 2020 |
Rick Siow Mong GOHA*STAR's Institute of High Performance Computing (IHPC)Verified email at ihpc.a-star.edu.sg
