| A General Descriptor ΔE Enables the Quantitative Development of Luminescent Materials Based on Photoinduced Electron Transfer W Chi, J Chen, W Liu, C Wang, Q Qi, Q Qiao, TM Tan, K Xiong, X Liu, ... Journal of the American Chemical Society 142 (14), 6777-6785, 2020 | 116 | 2020 |
| Feature representation in convolutional neural networks B Athiwaratkun, K Kang arXiv preprint arXiv:1507.02313, 2015 | 109 | 2015 |
| Impact of virtual reality on the visualization of partial derivatives in a multivariable calculus class K Kang, S Kushnarev, WW Pin, O Ortiz, JC Shihang IEEE Access 8, 58940-58947, 2020 | 17 | 2020 |
| Random projections with control variates K Kang, G Hooker International Conference on Pattern Recognition Applications and Methods 2 …, 2017 | 10 | 2017 |
| Using the multivariate normal to improve random projections K Kang International Conference on Intelligent Data Engineering and Automated …, 2017 | 6 | 2017 |
| Feature representation in convolutional neural network, arXiv. org B Athiwaratkun, K Kang arXiv preprint arXiv:1507.02313, 2015 | 6 | 2015 |
| Improving sign random projections with additional information K Kang, W Wong International Conference on Machine Learning, 2479-2487, 2018 | 5 | 2018 |
| A Personalized Online Homework System in a Freshman Engineering Linear Algebra Course K Kang, WP Wong, X Liu, S Kushnarev, O Ortiz, S Goyal, R Singhal 2021 IEEE International Conference on Engineering, Technology & Education …, 2021 | 4 | 2021 |
| Assessing the efficacy of personalized online homework in a first-year engineering multivariate calculus course S Kushnarev, K Kang, S Goyal 2020 IEEE International Conference on Teaching, Assessment, and Learning for …, 2020 | 4 | 2020 |
| Correlations between random projections and the bivariate normal K Kang Data Mining and Knowledge Discovery 35 (4), 1622-1653, 2021 | 3 | 2021 |
| Improving random projections with extra vectors to approximate inner products Y Li, Z Kuang, JY Li, K Kang IEEE Access 8, 78590-78607, 2020 | 3 | 2020 |
| Improving the recovery of principal components with semi-deterministic random projections K Kang, G Hooker 2016 Annual Conference on Information Science and Systems (CISS), 596-601, 2016 | 3 | 2016 |
| Supporting students’ visualization of multivariable calculus partial derivatives via virtual reality KH Cheong, JS Chen, K Kang, DJ Yeo Mathematics 11 (4), 831, 2023 | 2 | 2023 |
| Random projections with Bayesian priors K Kang National CCF Conference on Natural Language Processing and Chinese Computing …, 2017 | 2 | 2017 |
| Improving sign-random-projection via count sketch PP Dubey, BD Verma, R Pratap, K Kang Uncertainty in Artificial Intelligence, 599-609, 2022 | 1 | 2022 |
| Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick K Kang, S Kushnarev, WP Wong, R Pratap, H Yeo, C Yijia Asian Conference on Machine Learning, 814-829, 2021 | 1 | 2021 |
| Control Variates as a Variance Reduction Technique for Random Projections K Kang, G Hooker Pattern Recognition Applications and Methods: 6th International Conference …, 2018 | 1 | 2018 |
| Applying James–Stein Estimation to b-Bit Minwise Hashing JED Toh, RXM Kan, K Kang IRC-SET 2021: Proceedings of the 7th IRC Conference on Science, Engineering …, 2022 | | 2022 |
| Improving B-Bit Minwise Hashing with Addition of Optimal Standard Vectors H Wang, HW Kuo, RN Thesman, K Kang IRC-SET 2020: Proceedings of the 6th IRC Conference on Science, Engineering …, 2021 | | 2021 |
| Control Variates for Similarity Search J Chew, K Kang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | | 2021 |
