[1].  Guoliang He  and Y. Pan, X. Xia, J. He, R. Peng, and N. N. Xiong.  A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data.  IEEE Transactions on Systems, Man, and Cybernetics: Systems，2019, 8, DOI:10.1109/TSMC.2019.2931731. 

[2].  何国良 Early classification on multivariate time series.  NEUROCOMPUTING.  149.  2015. 

[3].  何国良 Evolvable hardware design based on a novel simulated annealing in an embedded system.  CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE.  24 (4).  2012. 

[4].  何国良 Probabilistic skyline queries on uncertain time series.  NEUROCOMPUTING.  191.  2016. 

[5].  何国良 An uncertainty and density based active semi-supervised learning scheme for positive unlabeled mu....  KNOWLEDGE-BASED SYSTEMS.  124.  2017. 

[6].  何国良 A novel crossover operator in evolutionary algorithm for logic circuit design.  Communications in Computer and Information Science.  51.  2009. 

[7].  何国良 Computing skyline probabilities on uncertain time series.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  9491.  2015. 

[8].  何国良 Automated design of logic circuits with a increasable evolution approach.  2009 11th IEEE International Conference on High Performance Computing and Communications, HPCC 2009.  2009. 

[9].  何国良 Intrinsic evolution of digital circuits using evolutionary algorithms.  2009 World Summit on Genetic and Evolutionary Computation, 2009 GEC Summit - Proceedings of the 1st ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC'09.  2009. 

[10].  何国良 Early classification on multivariate time series with core features.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  8644 LNCS (PART 1).  2014. 

[11].  何国良 Early prediction on imbalanced multivariate time series.  International Conference on Information and Knowledge Management, Proceedings.  2013. 

[12].  何国良 Active learning for multivariate time series classification with positive unlabeled data.  Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI.  2016-January.  2016. 

[13].  何国良 Design of electronic circuits using a divide-and-conquer approach.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  4684 LNCS (0302-9743).  2007. 

[14].  何国良 Automated Design of Logic Circuits with a Increasable Evolution Approach.  HPCC: 2009 11TH IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS.  2009. 

[15].  何国良 演化硬件平台的数字电路仿真算法.  系统仿真学报.  18 (1004-731X).  2006. 

[16].  何国良 Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data.  2015 IEEE 27TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2015).  (1082-3409).  2015. 

[17].  何国良 Design of evolvable hardware using adaptive simulated annealing.  2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2.  2005. 

[18].  何国良 Computing Skyline Probabilities on Uncertain Time Series.  NEURAL INFORMATION PROCESSING, PT III.  9491 (0302-9743).  2015. 

[19].  何国良 一种多层次数字电路仿真算法.  武汉大学学报. 信息科学版.  31 (1671-8860).  2006. 

[20].  何国良 Multiobjective simulated annealing for design of combinational logic circuits.  WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS.  2006. 

[21].  何国良 Design of electronic circuits using a divide-and-conquer approach.  EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE, PROCEEDINGS.  4684 (0302-9743).  2007. 

[22].  何国良 Intrinsic Evolution of Digital Circuits Using Evolutionary Algorithms.  WORLD SUMMIT ON GENETIC AND EVOLUTIONARY COMPUTATION (GEC 09).  2009.