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2020 – today
- 2024
[j25]Wei-Cheng Jiang
, Hong-Hao Huang, Yu-Teng Wang:
Reinforcement learning for encouraging cooperation in a multiagent system. Inf. Sci. 680: 120996 (2024)- [j24]Yen-Jen Chang, Kun-Lin Tsai, Wei-Cheng Jiang, Meng-Kun Liu:
Content-aware malicious webpage detection using convolutional neural network. Multim. Tools Appl. 83(3): 8145-8163 (2024) - 2023
- [j23]Maxwell Hwang, Yucheng Qian, Cai Wu, Wei-Cheng Jiang, Da Wang, Jingsun Wei, Kefeng Ding, Kao-Shing Hwang:
A local region proposals approach to instance segmentation for intestinal polyp detection. Int. J. Mach. Learn. Cybern. 14(5): 1591-1603 (2023) - 2022
- [j22]Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
A critical state identification approach to inverse reinforcement learning for autonomous systems. Int. J. Mach. Learn. Cybern. 13(5): 1409-1423 (2022) - [j21]Maxwell Hwang, Cai Wu, Wei-Cheng Jiang, Wei-Chen Hung:
A sequential attention interface with a dense reward function for mitosis detection. Int. J. Mach. Learn. Cybern. 13(9): 2663-2675 (2022) - 2021
- [j20]Da Wang, Maxwell Hwang, Wei-Cheng Jiang, Kefeng Ding, Hsiao Chien Chang, Kao-Shing Hwang:
A deep learning method for counting white blood cells in bone marrow images. BMC Bioinform. 22-S(5): 94 (2021) - [j19]Maxwell Hwang, Yu-Jen Chen, Ming-Yi Ju, Wei-Cheng Jiang:
A fuzzy CMAC learning approach to image based visual servoing system. Inf. Sci. 576: 187-203 (2021) - [j18]Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Kao-Shing Hwang, Yi-Chia Tseng:
An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 444-452 (2021) - [j17]Wei-Cheng Jiang, Vignesh Narayanan, Jr-Shin Li:
Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment. IEEE Trans. Cybern. 51(12): 5717-5727 (2021) - [j16]Wei-Cheng Jiang, Kao-Shing Hwang, Jin-Ling Lin:
An Experience Replay Method Based on Tree Structure for Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. 9(2): 972-982 (2021) - 2020
- [j15]Maxwell Hwang, Da Wang, Xiang-Xing Kong, Zhanhuai Wang, Jun Li, Wei-Cheng Jiang, Kao-Shing Hwang, Kefeng Ding:
An automated detection system for colonoscopy images using a dual encoder-decoder model. Comput. Medical Imaging Graph. 84: 101763 (2020) - [j14]Maxwell Hwang, Da Wang, Cai Wu, Wei-Cheng Jiang, Xiang-Xing Kong, Kao-Shing Hwang, Kefeng Ding:
A Fuzzy Segmentation Method to Learn Classification of Mitosis. Int. J. Fuzzy Syst. 22(5): 1653-1664 (2020) - [j13]Yu-Jen Chen, Wei-Cheng Jiang, Ming-Yi Ju, Kao-Shing Hwang:
Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces. IEEE Trans. Cogn. Dev. Syst. 12(3): 474-485 (2020)
2010 – 2019
- 2019
- [j12]Maxwell Hwang, Da Wang, Wei-Cheng Jiang, Xiang Pan, Dongliang Fu, Kao-Shing Hwang, Kefeng Ding:
An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders. Int. J. Fuzzy Syst. 21(7): 2091-2101 (2019) - 2018
- [j11]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Iris Hwang:
Model Learning for Multistep Backward Prediction in Dyna-Q Learning. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1470-1481 (2018) - [c10]Kao-Shing Hwang, Yi-Yun Cho, Wei-Cheng Jiang:
A Visual Servoing with Collision Avoidance Mechanism for Redundant Manipulators. SMC 2018: 1821-1826 - 2017
- [j10]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Pheromone-Based Planning Strategies in Dyna-Q Learning. IEEE Trans. Ind. Informatics 13(2): 424-435 (2017) - [j9]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Haobin Shi:
Motion Segmentation and Balancing for a Biped Robot's Imitation Learning. IEEE Trans. Ind. Informatics 13(3): 1099-1108 (2017) - [c9]Kao-Shing Hwang, Chi-Wei Hsieh, Wei-Cheng Jiang, Jin-Ling Lin:
A Reinforcement Learning Method with Implicit Critics from a Bystander. ISNN (1) 2017: 363-370 - [c8]Kao-Shing Hwang, Wei-Cheng Jiang:
A shaped-q learning for multi-agents systems. SMC 2017: 2024-2027 - 2016
- [j8]Jin-Ling Lin, Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Gait Balance and Acceleration of a Biped Robot Based on Q-Learning. IEEE Access 4: 2439-2449 (2016) - [j7]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang:
A Schema-Based DNA Algorithm Applicable on Graphics Processing Units. IEEE Access 4: 2498-2506 (2016) - [c7]Kao-Shing Hwang, Hsuan-yi Chiang, Wei-Cheng Jiang:
Adaboost-like method for inverse reinforcement learning. FUZZ-IEEE 2016: 1922-1925 - [c6]Kao-Shing Hwang, Wei-Cheng Jiang, Yi-Chia Tseng:
An unified approach to inverse reinforcement learning by oppositive demonstrations. ICIT 2016: 1664-1668 - 2015
- [j6]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning. IEEE Trans. Cybern. 45(5): 964-976 (2015) - [c5]Kao-Shing Hwang, Tien-Yu Cheng, Wei-Cheng Jiang:
Inverse Reinforcement Learning based on Critical State. IFSA-EUSFLAT 2015 - [c4]Yi-Jia Tseng, Kao-Shing Hwang, Wei-Cheng Jiang, Tsung-Chuan Huang, Song-Shyong Chen:
An Improved Dyna-Q Algorithm Based in Reverse Model Learning. ICSSE 2015: 200-212 - [c3]Kao-Shing Hwang, Ming-Han Chung, Wei-Cheng Jiang:
Image Based Visual Servoing Using Proportional Controller with Compensator. SMC 2015: 347-352 - 2014
- [j5]Yuan-Pao Hsu, Wei-Cheng Jiang:
A Fast Learning Agent Based on the Dyna Architecture. J. Inf. Sci. Eng. 30(6): 1807-1823 (2014) - 2013
- [j4]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen:
Adaptive Model Learning Based on Dyna-Q Learning. Cybern. Syst. 44(8): 641-662 (2013) - [j3]Yu-Jen Chen, Kao-Shing Hwang, Wei-Cheng Jiang:
Policy sharing between multiple mobile robots using decision trees. Inf. Sci. 234: 112-120 (2013) - [c2]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Wei-Han Wang:
Model-Based Indirect Learning Method Based on Dyna-Q Architecture. SMC 2013: 2540-2544 - 2012
- [j2]Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Hong Lin, Li-Hsin Lai:
Continuous Q-Learning for Multi-Agent Cooperation. Cybern. Syst. 43(3): 227-256 (2012) - [j1]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang, Tsung-Wen Yang:
Induced states in a decision tree constructed by Q-learning. Inf. Sci. 213: 39-49 (2012) - [c1]Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang:
Adaptive state aggregation for reinforcement learning. SMC 2012: 2452-2456
Coauthor Index
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