Multicast Routing in ATM Networks. - Chi-Chung Cheung; Hon-Wai Chu; Danny H. K. Tsang; Sanjay Gupta (Broadband Communications, 1999)

Performance analysis of least load multicast routing for single rate loss networks. - Chi-Chung Cheung; Danny H. K. Tsang; Sanjay Gupta; Hon-Wai Chu (ICC, 1999)

Dynamic multicast routing based on mean number of new calls accepted before blocking for single rate loss networks. - Chi-Chung Cheung; Danny H. K. Tsang; Sanjay Gupta (IEEE/ACM Trans. Netw., 2000)

Fuzzy service scheduling scheme in ATM networks. - Chi-Chung Cheung; Hon-Wai Chu (ICC, 2001)

Modified Least Load Multicast Routings for Single Rate Fully-Connected Loss Networks. - Chi-Chung Cheung; Danny H. K. Tsang; Sanjay Gupta (Telecommun. Syst., 2001)

Dynamic DNS for Load Balancin. - Chi-Chung Cheung; Man-Ching Yuen; Angus C. H. Yip (ICDCS Workshops, 2003)

Fast convergence for backpropagation network with magnified gradient function. - Sin Chun Ng; Chi-Chung Cheung; Shu-hung Leung; Andrew Luk (IJCNN, 2003)

Simple mathematical modeling of efficient path selection for QoS routing in load balancing. - Man-Ching Yuen; Weijia Jia 001; Chi-Chung Cheung (ICME, 2004)

Deterministic weight modification algorithm for efficient learning. - Sin Chun Ng; Chi-Chung Cheung; Shu-Hung Leung (IJCNN, 2004)

Magnified gradient function with deterministic weight modification in adaptive learning. - Sin Chun Ng; Chi-Chung Cheung; Shu Hung Leung (IEEE Trans. Neural Networks, 2004)

Efficient Distributed QoS Routing Protocol for MPLS Networks. - Man-Ching Yuen; Weijia Jia 001; Chi-Chung Cheung (ICPADS (1), 2005)

Visualization of XML Conceptual Schema Recovered from XML Schema Definition. - Joseph Fong; San Kuen Cheung; Herbert Shiu; Chi-Chung Cheung (Int. J. Web Inf. Syst., 2005)

Performance Analysis of TCP Veno Over Mixed Wired/Wireless Networks. - Chi-Chung Cheung (EW, 2008)

A new approach to improving end-to-end TCP enhancement schemes over mixed wired/wireless networks. - Chi-Chung Cheung (ICT, 2008)

Backpropagation with two-phase magnified gradient function. - Chi-Chung Cheung; Sin Chun Ng (IJCNN, 2008)

The multi-phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng (IJCNN, 2009)

Enhanced Two-Phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2010)

A fast learning algorithm with Promising Convergence Capability. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2011)

Green MPLS Traffic Engineering. - Hon-Wai Chu; Chi-Chung Cheung; Kin-Hon Ho; Ning Wang 001 (ATNAC, 2011)

Improving the Quickprop algorithm. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui (IJCNN, 2012)

Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew Kwok-Fai Lui (ISNN (1), 2012)

Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms. - Sin Chun Ng; Chi-Chung Cheung; Andrew Kwok-Fai Lui; Hau-Ting Tse (ISNN (1), 2012)

Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. - Sin Chun Ng; Chi-Chung Cheung; Andrew Kwok-Fai Lui; Sean Shensheng Xu (ISNN (1), 2012)

Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks. - Chi-Chung Cheung; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2013)

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2013)

A new strategy for finding good local guides in MOPSO. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (IEEE Congress on Evolutionary Computation, 2014)

A new optimization algorithm for power saving in backbone networks. - Chi-Chung Cheung; Hon-Wai Chu; Sean Shensheng Xu (ICCCN, 2014)

Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2014)

A new algorithm based on PSO for Multi-Objective Optimization. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2015)

A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks. - Sean Shensheng Xu; Chi-Chung Cheung (IJCNN, 2015)

Improved adaptive global replacement scheme for MOEA/D-AGR. - Hiu-Hin Tam; Man-Fai Leung; Zhenkun Wang 001; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2016)

A systematic algorithm to escape from local minima in training feed-forward neural networks. - Chi-Chung Cheung; Sean Shensheng Xu; Sin Chun Ng (IJCNN, 2016)

Deep neural networks versus support vector machines for ECG arrhythmia classification. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (ICME Workshops, 2017)

LoRa-based localization systems for noisy outdoor environment. - Ka-Ho Lam; Chi-Chung Cheung; Wah-Ching Lee (WiMob, 2017)

Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (BIBM, 2018)

New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment. - Ka-Ho Lam; Chi-Chung Cheung; Wah-Ching Lee (COMPSAC (2), 2018)

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (IEEE J. Biomed. Health Informatics, 2019)

RSSI-Based LoRa Localization Systems for Large-Scale Indoor and Outdoor Environments. - Ka-Ho Lam; Chi-Chung Cheung; Wah-Ching Lee (IEEE Trans. Veh. Technol., 2019)

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. - Man-Fai Leung; Carlos Artemio Coello Coello; Chi-Chung Cheung; Sin Chun Ng; Andrew Kwok-Fai Lui (IEEE Access, 2020)

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification. - Sean Shensheng Xu; Man-Wai Mak; Chi-Chung Cheung (IEEE J. Biomed. Health Informatics, 2020)

A Smartphone-Based IoT System to Monitor Driving Behaviors by Using a Machine Learning Classifier. - Chi-Chung Cheung; Chung Ming Cheung; Chi-Wang Tong (IICAIET, 2023)

DNN Classifiers with Segmentation Method and Indirect Labeling Mechanism to Classify Driving Behaviors through a Smartphone-based IoT System. - Chi-Chung Cheung; Chung Ming Cheung; Pak-Sam Tam; Ki Cheung; Hei-Nam Wong; Siu-Ki Hui; Chi-Wang Tong (ITSC, 2024)