Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data K Chen, H Chen, C Zhou, Y Huang, X Qi, R Shen, F Liu, M Zuo, X Zou, ... Water research 171, 115454, 2020 | 357 | 2020 |
Multi-Agent Game Abstraction via Graph Attention Neural Network Y Liu, W Wang, Y Hu, J Hao, X Chen, Y Gao AAAI, 2020 | 231 | 2020 |
A survey of point-of-interest recommendation in location-based social networks Y Yu, X Chen Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015 | 163 | 2015 |
Rl-dot: A reinforcement learning npc team for playing domination games H Wang, Y Gao, X Chen IEEE Transactions on Computational Intelligence and AI in Games 2 (1), 17-26, 2010 | 42 | 2010 |
Online Selective Kernel-Based Temporal Difference Learning X Chen, Y Gao, R Wang IEEE Transactions on Neural Networks and Learning Systems 24 (12), 1944-1956, 2013 | 41 | 2013 |
Online learning offloading framework for heterogeneous mobile edge computing system F Zhang, JG Ge, C Wong, CL Li, X Chen, S Zhang, B Luo, H Zhang, ... Journal of Parallel and Distributed Computing 128, 167-183, 2019 | 36 | 2019 |
Efficient average reward reinforcement learning using constant shifting values S Yang, Y Gao, B An, H Wang, X Chen Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 31 | 2016 |
强化学习中的迁移: 方法和进展 王皓, 高阳, 陈兴国 电子学报 36 (S1), 39, 2008 | 29* | 2008 |
Apply ant colony optimization to tetris X Chen, H Wang, W Wang, Y Shi, Y Gao Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 15 | 2009 |
强化学习及其在电脑围棋中的应用 陈兴国, 俞扬 自动化学报 42 (5), 685-695, 2016 | 14* | 2016 |
Anomaly detection for drinking water quality via deep biLSTM ensemble X Chen, F Feng, J Wu, W Liu Proceedings of the genetic and evolutionary computation conference companion …, 2018 | 13 | 2018 |
Reinforcement learning transfer based on subgoal discovery and subtask similarity H Wang, S Fan, J Song, Y Gao, X Chen IEEE/CAA Journal of Automatica Sinica 1 (3), 257-266, 2014 | 13 | 2014 |
Two novelty learning models developed based on deep cascade forest to address the environmental imbalanced issues: A case study of drinking water quality prediction X Chen, H Liu, F Liu, T Huang, R Shen, Y Deng, D Chen Environmental Pollution 291, 118153, 2021 | 12 | 2021 |
Research and challenges of reinforcement learning in cyber defense decision-making for intranet security W Wang, D Sun, F Jiang, X Chen, C Zhu Algorithms 15 (4), 134, 2022 | 10 | 2022 |
A fast alternating direction method of multipliers algorithm for big data applications H Wang, X Chen IEEE Access 8, 20607-20615, 2020 | 9 | 2020 |
Identification of Suitable Technologies for Drinking Water Quality Prediction: A Comparative Study of Traditional, Ensemble, Cost-Sensitive, Outlier Detection Learning Models … X Chen, H Liu, X Xu, L Zhang, T Lin, M Zuo, Y Huang, R Shen, D Chen, ... ACS ES&T Water 1 (8), 1676–1685, 2021 | 8 | 2021 |
Haze forecasting via deep LSTM F Feng, J Wu, W Sun, Y Wu, HK Li, X Chen Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018 | 7 | 2018 |
Reinforcement learning with markov logic networks W Wang, Y Gao, X Chen, S Ge MICAI 2008: Advances in Artificial Intelligence: 7th Mexican International …, 2008 | 5 | 2008 |
Model-based offline policy optimization with adversarial network J Yang, X Chen, S Wang, B Zhang 26th European Conference on Artificial Intelligence, 2850-2857, 2023 | 4 | 2023 |
DHQN: a stable approach to remove target network from deep q-learning network G Yang, Y Li, T Huang, Q Li, X Chen 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 4 | 2021 |