Wei-Cheng Jiang

According to our database, Wei-Cheng Jiang authored at least 34 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Content-aware malicious webpage detection using convolutional neural network.

Yen-Jen Chang, Kun-Lin Tsai, Wei-Cheng Jiang, Meng-Kun Liu

Multim. Tools Appl., January, 2024

2023

A local region proposals approach to instance segmentation for intestinal polyp detection.

Maxwell Hwang, Yucheng Qian, Cai Wu, Wei-Cheng Jiang, Da Wang, Jingsun Wei, Kefeng Ding, Kao-Shing Hwang

Int. J. Mach. Learn. Cybern., May, 2023

2022

A sequential attention interface with a dense reward function for mitosis detection.

Maxwell Hwang, Cai Wu, Wei-Cheng Jiang, Wei-Chen Hung

Int. J. Mach. Learn. Cybern., 2022

A critical state identification approach to inverse reinforcement learning for autonomous systems.

Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen

Int. J. Mach. Learn. Cybern., 2022

2021

An Experience Replay Method Based on Tree Structure for Reinforcement Learning.

Wei-Cheng Jiang, Kao-Shing Hwang, Jin-Ling Lin

IEEE Trans. Emerg. Top. Comput., 2021

Model Learning and Knowledge Sharing for Cooperative Multiagent Systems in Stochastic Environment.

Wei-Cheng Jiang, Vignesh Narayanan, Jr-Shin Li

IEEE Trans. Cybern., 2021

An Efficient Unified Approach Using Demonstrations for Inverse Reinforcement Learning.

Maxwell Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Kao-Shing Hwang, Yi-Chia Tseng

IEEE Trans. Cogn. Dev. Syst., 2021

A fuzzy CMAC learning approach to image based visual servoing system.

Maxwell Hwang, Yu-Jen Chen, Ming-Yi Ju, Wei-Cheng Jiang

Inf. Sci., 2021

A deep learning method for counting white blood cells in bone marrow images.

Da Wang, Maxwell Hwang, Wei-Cheng Jiang, Kefeng Ding, Hsiao Chien Chang, Kao-Shing Hwang

BMC Bioinform., 2021

2020

Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces.

Yu-Jen Chen, Wei-Cheng Jiang, Ming-Yi Ju, Kao-Shing Hwang

IEEE Trans. Cogn. Dev. Syst., 2020

A Fuzzy Segmentation Method to Learn Classification of Mitosis.

Maxwell Hwang, Da Wang, Cai Wu, Wei-Cheng Jiang, Xiang-Xing Kong, Kao-Shing Hwang, Kefeng Ding

Int. J. Fuzzy Syst., 2020

An automated detection system for colonoscopy images using a dual encoder-decoder model.

Maxwell Hwang, Da Wang, Xiang-Xing Kong, Zhanhuai Wang, Jun Li, Wei-Cheng Jiang, Kao-Shing Hwang, Kefeng Ding

Comput. Medical Imaging Graph., 2020

2019

An Adaptive Regularization Approach to Colonoscopic Polyp Detection Using a Cascaded Structure of Encoder-Decoders.

Maxwell Hwang, Da Wang, Wei-Cheng Jiang, Xiang Pan, Dongliang Fu, Kao-Shing Hwang, Kefeng Ding

Int. J. Fuzzy Syst., 2019

2018

Model Learning for Multistep Backward Prediction in Dyna-Q Learning.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Iris Hwang

IEEE Trans. Syst. Man Cybern. Syst., 2018

A Visual Servoing with Collision Avoidance Mechanism for Redundant Manipulators.

Kao-Shing Hwang, Yi-Yun Cho, Wei-Cheng Jiang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Motion Segmentation and Balancing for a Biped Robot's Imitation Learning.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Haobin Shi

IEEE Trans. Ind. Informatics, 2017

Pheromone-Based Planning Strategies in Dyna-Q Learning.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen

IEEE Trans. Ind. Informatics, 2017

A shaped-q learning for multi-agents systems.

Kao-Shing Hwang, Wei-Cheng Jiang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A Reinforcement Learning Method with Implicit Critics from a Bystander.

Kao-Shing Hwang, Chi-Wei Hsieh, Wei-Cheng Jiang, Jin-Ling Lin

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Gait Balance and Acceleration of a Biped Robot Based on Q-Learning.

Jin-Ling Lin, Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen

IEEE Access, 2016

A Schema-Based DNA Algorithm Applicable on Graphics Processing Units.

Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang

IEEE Access, 2016

An unified approach to inverse reinforcement learning by oppositive demonstrations.

Kao-Shing Hwang, Wei-Cheng Jiang, Yi-Chia Tseng

Proceedings of the IEEE International Conference on Industrial Technology, 2016

Adaboost-like method for inverse reinforcement learning.

Kao-Shing Hwang, Hsuan-yi Chiang, Wei-Cheng Jiang

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Model Learning and Knowledge Sharing for a Multiagent System With Dyna-Q Learning.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen

IEEE Trans. Cybern., 2015

Image Based Visual Servoing Using Proportional Controller with Compensator.

Kao-Shing Hwang, Ming-Han Chung, Wei-Cheng Jiang

Proceedings of the 2015 IEEE International Conference on Systems, 2015

An Improved Dyna-Q Algorithm Based in Reverse Model Learning.

Yi-Jia Tseng, Kao-Shing Hwang, Wei-Cheng Jiang, Tsung-Chuan Huang, Song-Shyong Chen

Proceedings of the New Trends on System Sciences and Engineering, 2015

Inverse Reinforcement Learning based on Critical State.

Kao-Shing Hwang, Tien-Yu Cheng, Wei-Cheng Jiang

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

A Fast Learning Agent Based on the Dyna Architecture.

Yuan-Pao Hsu, Wei-Cheng Jiang

J. Inf. Sci. Eng., 2014

2013

Policy sharing between multiple mobile robots using decision trees.

Yu-Jen Chen, Kao-Shing Hwang, Wei-Cheng Jiang

Inf. Sci., 2013

Adaptive Model Learning Based on Dyna-Q Learning.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen

Cybern. Syst., 2013

Model-Based Indirect Learning Method Based on Dyna-Q Architecture.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Wei-Han Wang

Proceedings of the IEEE International Conference on Systems, 2013

2012

Induced states in a decision tree constructed by Q-learning.

Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang, Tsung-Wen Yang

Inf. Sci., 2012

Continuous Q-Learning for Multi-Agent Cooperation.

Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Hong Lin, Li-Hsin Lai

Cybern. Syst., 2012

Adaptive state aggregation for reinforcement learning.

Kao-Shing Hwang, Yu-Jen Chen, Wei-Cheng Jiang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012