| Robot-assisted training in laparoscopy using deep reinforcement learning X Tan, CB Chng, Y Su, KB Lim, CK Chui IEEE Robotics and Automation Letters 4 (2), 485-492, 2019 | 58 | 2019 |
| A meta reinforcement learning approach for predictive autoscaling in the cloud S Xue, C Qu, X Shi, C Liao, S Zhu, X Tan, L Ma, S Wang, S Wang, Y Hu, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 42 | 2022 |
| Robot-assisted flexible needle insertion using universal distributional deep reinforcement learning X Tan, Y Lee, CB Chng, KB Lim, CK Chui International journal of computer assisted radiology and surgery 15, 341-349, 2020 | 32 | 2020 |
| Overlapping radiofrequency ablation planning and robot‐assisted needle insertion for large liver tumors P Liu, J Qin, B Duan, Q Wang, X Tan, B Zhao, PL Jonnathan, CK Chui, ... The International Journal of Medical Robotics and Computer Assisted Surgery …, 2019 | 32 | 2019 |
| Robust path planning for flexible needle insertion using Markov decision processes X Tan, P Yu, KB Lim, CK Chui International Journal of Computer Assisted Radiology and Surgery 13, 1439-1451, 2018 | 30 | 2018 |
| A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings S Chen, X Qiu, X Tan, Z Fang, Y Jin Information sciences 611, 47-64, 2022 | 29 | 2022 |
| A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support X Qiu, X Tan, Q Li, S Chen, Y Ru, Y Jin Knowledge-based systems 237, 107689, 2022 | 22 | 2022 |
| Self-criticism: Aligning large language models with their understanding of helpfulness, honesty, and harmlessness X Tan, S Shi, X Qiu, C Qu, Z Qi, Y Xu, Y Qi Proceedings of the 2023 conference on empirical methods in natural language …, 2023 | 18 | 2023 |
| An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting X Qiu, J Qian, H Wang, X Tan, Y Jin Applied Soft Computing 154, 111324, 2024 | 14 | 2024 |
| Provably invariant learning without domain information X Tan, L Yong, S Zhu, C Qu, X Qiu, X Yinghui, P Cui, Y Qi International Conference on Machine Learning, 33563-33580, 2023 | 14 | 2023 |
| Bellman meets hawkes: Model-based reinforcement learning via temporal point processes C Qu, X Tan, S Xue, X Shi, J Zhang, H Mei Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9543-9551, 2023 | 14 | 2023 |
| Simulation of robot-assisted flexible needle insertion using deep q-network Y Lee, X Tan, CB Chng, CK Chui 2019 IEEE international conference on systems, man and cybernetics (SMC …, 2019 | 14 | 2019 |
| GK BertDTA: a graph representation learning and semantic embedding-based framework for drug-target affinity prediction X Qiu, H Wang, X Tan, Z Fang Computers in Biology and Medicine 173, 108376, 2024 | 11 | 2024 |
| PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching Z Qi, X Tan, S Shi, C Qu, Y Xu, Y Qi Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 11 | 2023 |
| Sparse-attentive meta temporal point process for clinical decision support Y Ru, X Qiu, X Tan, B Chen, Y Gao, Y Jin Neurocomputing 485, 114-123, 2022 | 11 | 2022 |
| Neural-SEIR: A flexible data-driven framework for precise prediction of epidemic disease H Wang, X Qiu, J Yang, Q Li, X Tan, J Huang Mathematical Biosciences and Engineering 20 (9), 16807-16823, 2023 | 10 | 2023 |
| Chain-of-lora: Enhancing the instruction fine-tuning performance of low-rank adaptation on diverse instruction set X Qiu, T Hao, S Shi, X Tan, YJ Xiong IEEE Signal Processing Letters, 2024 | 9 | 2024 |
| Cognitive engine for robot-assisted radio-frequency ablation system X Tan, CB Chng, B Duan, Y Ho, R Wen, X Chen, KB Lim, CK Chui Acta Polytechnica Hungarica 14 (1), 129-145, 2017 | 9 | 2017 |
| Safer: a robust and efficient framework for fine-tuning bert-based classifier with noisy labels Z Qi, X Tan, C Qu, Y Xu, Y Qi Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 8 | 2023 |
| An Attentive LSTM based approach for adverse drug reactions prediction J Qian, X Qiu, X Tan, Q Li, J Chen, X Jiang Applied Intelligence 53 (5), 4875-4889, 2023 | 8 | 2023 |
Chee Kong ChuiAssociate Professor, National University of SingaporeПотвърден имейл адрес: nus.edu.sg