Chi-Chung Cheung

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 13

Top Topics

Optimization Algorithm

Particle Swarm Optimization

Beat Classification

Top Venues

IEEE J. Biomed. Health Informatics

IEEE Congress on Evolutionary Computation

Publications

Chi-Chung Cheung, Chung Ming Cheung, Chi-Wang Tong
A Smartphone-Based IoT System to Monitor Driving Behaviors by Using a Machine Learning Classifier. IICAIET (2023)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. IEEE Access 8 (2020)
Ka-Ho Lam, Chi-Chung Cheung, Wah-Ching Lee
RSSI-Based LoRa Localization Systems for Large-Scale Indoor and Outdoor Environments. IEEE Trans. Veh. Technol. 68 (12) (2019)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks. BIBM (2018)
Ka-Ho Lam, Chi-Chung Cheung, Wah-Ching Lee
New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment. COMPSAC (2) (2018)
Sean Shensheng Xu, Man-Wai Mak, Chi-Chung Cheung
Deep neural networks versus support vector machines for ECG arrhythmia classification. ICME Workshops (2017)
Ka-Ho Lam, Chi-Chung Cheung, Wah-Ching Lee
LoRa-based localization systems for noisy outdoor environment. WiMob (2017)
Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng
A systematic algorithm to escape from local minima in training feed-forward neural networks. IJCNN (2016)
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
Improved adaptive global replacement scheme for MOEA/D-AGR. CEC (2016)
Sean Shensheng Xu, Chi-Chung Cheung
A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks. IJCNN (2015)
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
A new algorithm based on PSO for Multi-Objective Optimization. CEC (2015)
Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu
A new optimization algorithm for power saving in backbone networks. ICCCN (2014)
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
A new strategy for finding good local guides in MOPSO. IEEE Congress on Evolutionary Computation (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. IJCNN (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. IJCNN (2013)
Chi-Chung Cheung, Andrew K. Lui, Sean Shensheng Xu
Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks. IJCNN (2013)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu
Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. ISNN (1) (2012)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse
Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms. ISNN (1) (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui
Improving the Quickprop algorithm. IJCNN (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks. ISNN (1) (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A fast learning algorithm with Promising Convergence Capability. IJCNN (2011)
Hon-Wai Chu, Chi-Chung Cheung, Kin-Hon Ho, Ning Wang
Green MPLS Traffic Engineering. ATNAC (2011)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Enhanced Two-Phase method in fast learning algorithms. IJCNN (2010)
Chi-Chung Cheung, Sin Chun Ng
The multi-phase method in fast learning algorithms. IJCNN (2009)
Chi-Chung Cheung
Performance Analysis of TCP Veno Over Mixed Wired/Wireless Networks. EW (2008)
Chi-Chung Cheung, Sin Chun Ng
Backpropagation with two-phase magnified gradient function. IJCNN (2008)
Chi-Chung Cheung
A new approach to improving end-to-end TCP enhancement schemes over mixed wired/wireless networks. ICT (2008)
Joseph Fong, San Kuen Cheung, Herbert Shiu, Chi-Chung Cheung
Visualization of XML Conceptual Schema Recovered from XML Schema Definition. Int. J. Web Inf. Syst. 1 (4) (2005)
Man-Ching Yuen, Weijia Jia, Chi-Chung Cheung
Efficient Distributed QoS Routing Protocol for MPLS Networks. ICPADS (1) (2005)
Sin Chun Ng, Chi-Chung Cheung, Shu Hung Leung
Magnified gradient function with deterministic weight modification in adaptive learning. IEEE Trans. Neural Networks 15 (6) (2004)
Man-Ching Yuen, Weijia Jia, Chi-Chung Cheung
Simple mathematical modeling of efficient path selection for QoS routing in load balancing. ICME (2004)
Chi-Chung Cheung, Man-Ching Yuen, Angus C. H. Yip
Dynamic DNS for Load Balancin. ICDCS Workshops (2003)
Chi-Chung Cheung, Danny H. K. Tsang, Sanjay Gupta
Modified Least Load Multicast Routings for Single Rate Fully-Connected Loss Networks. Telecommun. Syst. 16 (3-4) (2001)
Chi-Chung Cheung, Hon-Wai Chu
Fuzzy service scheduling scheme in ATM networks. ICC (2001)
Chi-Chung Cheung, Danny H. K. Tsang, Sanjay Gupta
Dynamic multicast routing based on mean number of new calls accepted before blocking for single rate loss networks. IEEE/ACM Trans. Netw. 8 (5) (2000)
Chi-Chung Cheung, Hon-Wai Chu, Danny H. K. Tsang, Sanjay Gupta
Multicast Routing in ATM Networks. Broadband Communications (1999)
Chi-Chung Cheung, Danny H. K. Tsang, Sanjay Gupta, Hon-Wai Chu
Performance analysis of least load multicast routing for single rate loss networks. ICC (1999)