Skip to content

Chi-Chung Cheung

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

23

Venues

8

Active years

2003–2018

Best venue rank

B

Where they publish

Papers

23 indexed papers, newest first.

YearVenueTitleAuthors
2018COMPSACNew RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment.Ka-Ho Lam, Chi-Chung Cheung, Wah-Ching Lee
2017WiMobLoRa-based localization systems for noisy outdoor environment.Ka-Ho Lam, Chi-Chung Cheung, Wah-Ching Lee
2016CECImproved adaptive global replacement scheme for MOEA/D-AGR.Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2016IJCNNA systematic algorithm to escape from local minima in training feed-forward neural networks.Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng
2015CECA new algorithm based on PSO for Multi-Objective Optimization.Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2015IJCNNA new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks.Sean Shensheng Xu, Chi-Chung Cheung
2014CECA new strategy for finding good local guides in MOPSO.Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2014ICCCNA new optimization algorithm for power saving in backbone networks.Chi-Chung Cheung, Hon-Wai Chu, Sean Shensheng Xu
2014IJCNNFurther 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
2013IJCNNSolving 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
2013IJCNNA 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
2012IJCNNImproving the Quickprop algorithm.Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui
2012ISNNMulti-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
2012ISNNAddressing the Local Minima Problem by Output Monitoring and Modification Algorithms.Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse
2012ISNNMagnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms.Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu
2011IJCNNA fast learning algorithm with Promising Convergence Capability.Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2011ITNACGreen MPLS Traffic Engineering.Hon-Wai Chu, Chi-Chung Cheung, Kin-Hon Ho, Ning Wang
2010IJCNNEnhanced Two-Phase method in fast learning algorithms.Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2009IJCNNThe multi-phase method in fast learning algorithms.Chi-Chung Cheung, Sin Chun Ng
2008IJCNNBackpropagation with two-phase magnified gradient function.Chi-Chung Cheung, Sin Chun Ng
2005ICPADSEfficient Distributed QoS Routing Protocol for MPLS Networks.Man-Ching Yuen, Weijia Jia, Chi-Chung Cheung
2004IJCNNDeterministic weight modification algorithm for efficient learning.Sin Chun Ng, Chi-Chung Cheung, Shu-Hung Leung
2003IJCNNFast convergence for backpropagation network with magnified gradient function.Sin Chun Ng, Chi-Chung Cheung, Shu-hung Leung, Andrew Luk