| Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts P Li, K Mao Expert Systems with Applications 115, 512-523, 2019 | 155 | 2019 |
| Real-time identification of power fluctuations based on LSTM recurrent neural network: A case study on Singapore power system S Wen, Y Wang, Y Tang, Y Xu, P Li, T Zhao IEEE Transactions on Industrial Informatics 15 (9), 5266-5275, 2019 | 120 | 2019 |
| Improving convolutional neural network for text classification by recursive data pruning Q Li, P Li, K Mao, EYM Lo Neurocomputing 414, 143-152, 2020 | 45 | 2020 |
| Improving Relation Extraction with Knowledge-attention P Li, K Mao, X Yang, Q Li Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 43 | 2019 |
| Act: an attentive convolutional transformer for efficient text classification P Li, P Zhong, K Mao, D Wang, X Yang, Y Liu, J Yin, S See Proceedings of the AAAI conference on artificial intelligence 35 (15), 13261 …, 2021 | 38 | 2021 |
| CARE: commonsense-aware emotional response generation with latent concepts P Zhong, D Wang, P Li, C Zhang, H Wang, C Miao Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14577 …, 2021 | 34 | 2021 |
| Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base P Li, K Mao, Y Xu, Q Li, J Zhang Knowledge-Based Systems 193, 105436, 2020 | 30 | 2020 |
| Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems S Wen, Y Wang, Y Tang, Y Xu, P Li IET Renewable Power Generation 13 (12), 2166-2173, 2019 | 29 | 2019 |
| Nonlinear parity-time-symmetry breaking in optical waveguides with complex Gaussian-type potentials PF Li, B Liu, L Li, D Mihalache Rom. J. Phys 61 (3-4), 577-594, 2016 | 24 | 2016 |
| Self-supervised vision-language pretraining for medial visual question answering P Li, G Liu, L Tan, J Liao, S Zhong 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 20 | 2023 |
| A novel self-triggered MPC scheme for constrained input-affine nonlinear systems P Li, Y Kang, YB Zhao, T Wang IEEE Transactions on Circuits and Systems II: Express Briefs 68 (1), 306-310, 2020 | 19 | 2020 |
| Ultra-short-term load demand forecast model framework based on deep learning H Li, H Liu, H Ji, S Zhang, P Li Energies 13 (18), 4900, 2020 | 18 | 2020 |
| Deep feature representation based imitation learning for autonomous helicopter aerobatics S Chen, Y Cao, Y Kang, P Li, B Sun IEEE Transactions on Artificial Intelligence 2 (5), 437-446, 2021 | 16 | 2021 |
| Networked dual-mode adaptive horizon MPC for constrained nonlinear systems P Li, Y Kang, YB Zhao, T Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (12), 7435-7449, 2020 | 16 | 2020 |
| Multi-channel LSTM with different time scales for foreign exchange rate prediction W Wei, P Li Proceedings of the 1st International Conference on Advanced Information …, 2019 | 13 | 2019 |
| Dynamic event-triggered control for networked switched linear systems P Li, Y Kang, YB Zhao, J Zhou 2017 36th Chinese control conference (CCC), 7984-7989, 2017 | 13 | 2017 |
| Robust model predictive control for constrained networked nonlinear systems: An approximation-based approach T Wang, Y Kang, P Li, YB Zhao, P Yu Neurocomputing 418, 56-65, 2020 | 12 | 2020 |
| Control for a class of stochastic mechanical systems based on the discrete-time approximate observer X Fu, Y Kang, P Li, P Yu Journal of Systems Science and Complexity 32 (2), 526-541, 2019 | 12 | 2019 |
| Masked vision and language pre-training with unimodal and multimodal contrastive losses for medical visual question answering P Li, G Liu, J He, Z Zhao, S Zhong International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Automatic true/false question generation for educational purpose B Zou, P Li, L Pan, A Aw Proceedings of the 17th Workshop on Innovative Use of NLP for Building …, 2022 | 10 | 2022 |
