个人简历

教育经历
1987.2 -- 1990.9
浙江大学 电机及控制 博士
1982.3 -- 1984.6
沈阳机电学院 电机 硕士
1978.3 -- 1982.1
沈阳机电学院 电机 学士
工作经历
1992.12 -- 至今
大连理工大学 教师
1984.6 -- 1990.12
沈阳机电学院 教师
专利
基于时空数据模型的城市级PM2.5浓度预测方法
科研项目
地面数据解析设备, 企事业单位委托科技项目, 2015/12/30-2016/12/30, 进行
无线自动售货系统物流管理软件, 企事业单位委托科技项目, 2005/12/31-2006/12/31, 完成
网优中心办公管理系统, 企事业单位委托科技项目, 2011/11/17-2013/11/17, 完成
聚乙二醇化重组集成干扰素变异体注射液临床研究, 科技部重大专项, 2012/01/01-2014/01/01, 完成
机器人地下定位装置的研究?, 省、市、自治区科技项目, 2010/01/01-2013/12/11, 完成
基于主动学习和多标签学习的多定位点蛋白质亚细胞定位预测方法研究, 主管部门科技项目, 2012/12/18-2016/05/31, 完成
科研奖励
中国石油和化学工业联合会科学技术奖

研究领域

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近期论文

[1] 熊建,顾宏.发动机线控驱动技术的功能安全设计与研究[J],摩托车技术,2019,11:36-43
[2] 董青原,曹隽喆,张国范,李莉,刘圣,顾宏.基于全基因组选择的长牡蛎肥满度分布参数预测方法[J],大连理工大学学报,2020,60(1):94-99
[3] Sui, Xin,Lu, Shengyang,He, Hai,Zhao, Yuting,Hu, Shubo,Liu, Ziqian,Gu, Hong,Sun, Hui.Wind-Thermal-Nuclear-Storage Combined Time Division Power Dispatch Based on Numerical Characteristics of Net Load[J],ENERGIES,2020,13(2)
[4] Wang, Fei,Zhuang, Yan,Gu, Hong,Hu, Huosheng.Automatic Generation of Synthetic LiDAR Point Clouds for 3-D Data Analysis[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2019,68(7):2671-2673
[5] Sheng, Junxiu,Chen, Lei,Qi, Yangfan,Zhang, Ge,Zhang, Lin,Gu, Chundong,Deng, Xiaoqin,Liu, Han,Meng, Songshu,Gu, Hong,Liu, Quentin,Zhao, Qingzhi,Coulson, Judy M.,Li, Xiaoling,Sun, Bing,Wang, Yang,Zhao, Jinyao,Zhang, Wenjing,Sun, Yu,Qin, Pan,Lv, Yuesheng,Bai, Lu,Yang, Quan.SRSF1 modulates PTPMT1 alternative splicing to regulate lung cancer cell radioresistance[J],EBIOMEDICINE,2018,38:113-126
[6] 潘蕾,秦攀,顾宏.基于蚁群算法的肿瘤驱动通路搜索方法研究[J],大连理工大学学报,2018,58(2):180-186
[7] 徐晓璐,顾宏,秦攀,王泽远.基于表达协变量的肺腺癌驱动基因集搜索方法研究[A],中国仪器仪表学会青年学术会议,2018
[8] Xiong, Jian,Gu, Hong.An Intelligent Dual-Voltage Driving Method and Circuit For a Common Rail Injector for Heavy-Duty Diesel Engines[J],IEEE ACCESS,2018,6:27681-27689
[9] Xiong, Jian,Gu, Hong.Development of Calibration Software with High Reliable Data Interface Protection Based on 3DES Algorithm[A],PROCEEDINGS OF 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS),2018,117-120
[10] Zhou, Yu,He, Jianjun,Gu, Hong.Partial Label Learning via Gaussian Processes[J],IEEE TRANSACTIONS ON CYBERNETICS,2017,47(12):4443-4450
[11] 布晓婷,曹隽喆,顾宏.基于多标签直推学习的抗菌肽及其抗菌功能预测[J],大连理工大学学报,2017,57(3):293-301
[12] 曹隽喆,顾宏.基于计算方法的抗菌肽预测[J],计算机学报,2017,40(12):2777-2796
[13] 张梦璇,于跃,顾宏.基于改进差分进化算法的MVB周期调度表优化设计[J],大连理工大学学报,2017,57(2):207-215
[14] 周瑜,顾宏.面向不平衡数据的逻辑回归偏标记学习算法[J],大连理工大学学报,2017,57(2):184-188
[15] 周瑜,贺建军,顾宏.基于变分高斯过程模型的快速核偏标记学习算法[J],计算机研究与发展,2017,54(1):63-70
[16] 周玮,胡姝博,孙辉,顾宏,刘劲松,马千,陈晓东.考虑大规模风电并网的电力系统区间非线性经济调度研究[J],中国电机工程学报,2017,37(2):557-563
[17] Zhou W.,Hu S.,Sun H.,Gu H.,Liu J.,Wang Z..Joint generation dispatching of power system with nuclear power units participating in peak load regulation[A],2016 International Conference on Smart Grid and Clean Energy Technologies, ICSGCE 2016,2017,324-327
[18] 鞠哲,曹隽喆,顾宏.用于不平衡数据分类的模糊支持向量机算法[J],大连理工大学学报,2016,56(5):525-531
[19] Ju, Zhe,Gu, Hong.Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm[J],ANALYTICAL BIOCHEMISTRY,2016,507:1-6
[20] 赵志国,鞠哲,顾宏.低分辨率多姿态人脸识别算法研究[J],控制工程,2016,23(7):1057-1062
[21] Ju, Zhe,Cao, Jun-Zhe,Gu, Hong.Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou's general PseAAC[J],JOURNAL OF THEORETICAL BIOLOGY,2016,397(397):145-150
[22] 岳忠奇,吴涛,顾宏.基于 SaCE-ELM 的地铁牵引控制单元快速故障诊断[J],大连理工大学学报,2016,56(3):270-278
[23] 周瑜,贺建军,顾宏,张俊星.一种基于最大值损失函数的快速偏标记学习算法[J],计算机研究与发展,2016,53(5):1053-1062
[24] 熊建,顾宏.一种高可靠共轨柴油发动机电控单元[J],大连理工大学学报,2016,56(1):56-63
[25] Zhou, Wei,Hu, Shubo,Sun, Hui,Gu, Hong,Liu, Jinsong,Wang, Zhonghui.Joint Generation Dispatching of Power System with Nuclear Power Units Participating in Peak Load Regulation[A],6th International Conference on Smart Grid and Clean Energy Technologies (ICSGCE),2016,324-327
[26] Xiong, Jian,Gu, Hong.A Remote Engine Health Management System based on Mobile cloud computing[A],4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (Mobile Cloud),2016,87-88
[27] Ju, Zhe,Cao, Jun-Zhe,Gu, Hong.iLM-2L: A two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou's general PseAAC[J],JOURNAL OF THEORETICAL BIOLOGY,2015,385(385):50-57
[28] 周瑜,贺建军,顾宏.基于变分高斯过程模型的快速核偏标记学习算法[A],第三届CCF大数据学术会议,2015,63-63
[29] 张淞珲,于跃,顾宏.一种新型的MVB非周期信息优化调度策略[J],大连理工大学学报,2015,55(5):537-541
[30] Song, Tao,Bu, Xiaoting,Gu, Hong.Combining intrinsic disorder prediction and augmented training of hidden Markov models improves discriminative motif discovery[J],CHEMICAL PHYSICS LETTERS,2015,634:243-248
[31] Song, Tao,Gu, Hong.Discovering short linear protein motif based on selective training of profile hidden Markov models[J],JOURNAL OF THEORETICAL BIOLOGY,2015,377:75-84
[32] 范超,于跃,顾宏.基于 Pareto 蚁群算法的 MVB 周期轮询表优化设计[J],大连理工大学学报,2015,55(3):319-325
[33] Wang Jia,Miller, Daniel,Wang HongWei,Gu Hong.Closed-loop subspace identification algorithm based on correlation function estimates[J],SCIENCE CHINA-INFORMATION SCIENCES,2015,58(3)
[34] 徐晓璐,吴涛,顾宏.基于IPSO-SVM的地铁车辆牵引控制单元故障诊断[J],大连理工大学学报,2015,55(1):67-72
[35] Gu H.,Song T..Balanced sampling method for imbalanced big data using AdaBoost[A],6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015,2015,189-194
[36] 王佳,王宏伟,夏浩,顾宏.基于子空间的多率控制系统闭环辨识[J],信息与控制,2014,43(5):583-587,595
[37] Song, Tao,Gu, Hong.Discriminative Motif Discovery via Simulated Evolution and Random Under-Sampling[J],PLOS ONE,2014,9(2):e87670
[38] Wang, Jia,Wang, Hong-Wei,Gu, Hong.A novel recursive subspace identification approach of closed-loop systems[J],MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS,2013,19(6):526-539
[39] Gu, Hong,Cao, Junzhe.A Novel Integrated Method for Human Multiplex Protein Subcellular Localization Prediction[A],IEEE International Conference on Big Data (Big Data),2013,58-62
[40] Li, Dan,Gu, Hong,Zhang, Liyong.A hybrid genetic algorithm-fuzzy c-means approach for incomplete data clustering based on nearest-neighbor intervals[J],SOFT COMPUTING,2013,17(10):1787-1796
[41] Cao, Junzhe,Liu, Wenqi,He, Jianjun,Gu, Hong.Identifying the singleplex and multiplex proteins based on transductive learning for protein subcellular localization prediction[J],BIOTECHNOLOGY LETTERS,2013,35(7):1107-1113
[42] Cao, Junzhe,Liu, Wenqi,He, Jianjun,Gu, Hong.Mining Proteins with Non-Experimental Annotations Based on an Active Sample Selection Strategy for Predicting Protein Subcellular Localization[J],PLOS ONE,2013,8(6):e67343
[43] Wang, Jia,Gu, Hong,Wang, Hongwei.Recursive Subspace Identification Approach of a Closed-loop Model[A],American Control Conference (ACC),2013,1675-1678
[44] He, Jianjun,Gu, Hong,Wang, Zhelong.Solving the forward kinematics problem of six-DOF Stewart platform using multi-task Gaussian process[J],PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,2013,227(C1):161-169
[45] Cao, Jun-Zhe,Liu, Wen-Qi,Gu, Hong.Predicting Viral Protein Subcellular Localization with Chou's Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K-Nearest Neighbor Algorithm[J],PROTEIN AND PEPTIDE LETTERS,2012,19(11):1163-1169
[46] Qi Kun Peng,Long Wu Qiang,Dong Peng Bo,Gu Hong.An Experimental Investigation on a New Combustion System of Diesel Engine for Performance Optimization[A],2nd International Conference on Energy, Environment and Sustainable Development (EESD 2012),2012,614-615:355-+
[47] Wang, Hongwei,Wang, Jia,Gu, Hong.Fuzzy Identification of Nonlinear Systems via Orthogonal Transform[J],ASIAN JOURNAL OF CONTROL,2012,14(4):1127-1132
[48] He, Jianjun,Gu, Hong,Wang, Zhelong.Bayesian multi-instance multi-label learning using Gaussian process prior[J],MACHINE LEARNING,2012,88(1-2,SI):273-295
[49] He, Jianjun,Gu, Hong,Liu, Wenqi.Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites[J],PLOS ONE,2012,7(6):e37155
[50] Guo, Liangdong,Gu, Hong,Xing, Jun,He, Xiqin.Asymptotic and exponential stability of uncertain system with interval delay[J],APPLIED MATHEMATICS AND COMPUTATION,2012,218(19):9997-10006
[51] He, Jianjun,Gu, Hong,Wang, Zhelong.Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation[J],INFORMATION SCIENCES,2012,190:162-177
[52] Zhang, Yong,Li, Keqiu,Gu, Hong,Yang, Dongwei.Adaptive split-and-merge clustering algorithm for wireless sensor networks[A],2012 International Workshop on Information and Electronics Engineering, IWIEE 2012,2012,29:3547-3551
[53] 周玮,孙辉,顾宏,马千,陈晓东.计及风险备用约束的含风电场电力系统动态经济调度[J],中国电机工程学报,2012,32(1):47-55
[54] 顾宏.symptotic and exponential stability of uncertain system with interval delay[J],APPLIED MATHEMATICS AND COMPUTATION (IF:1.317),2012,218(19):9997-10006
[55] 刘文琦,顾宏.Predicting Viral Protein Subcellular Localization with Chous Pseudo Amino Acid Composition and Imbalance-Weighted Multi-Label K-Nearest Neighbor Algorithm[J],PROTEIN AND PEPTIDE LETTERS (IF:1.942),2012,19(11):1163-1169
[56] 李丹,顾宏,张立勇.基于属性加权的不完全数模糊c均值聚类算法[J],大连理工大学学报,2012,52(5):749-754
[57] 周玮,孙辉,顾宏.计及风险备用约束的含风电场电力系[J],中国电机工程学报,2012,32(1):47-55
[58] 曹隽喆,顾宏,贺建军.一种新的蛋白质亚细胞定位预测训练集构造方法[J],大连理工大学学报,2012,52(6):884-889
[59] 王佳,王宏伟,顾宏.基于目标函数的递推子空间辨识算法[J],控制理论与应用,2012,29(4):503-506
[60] 马军伟,史舵,顾宏,张杰.PCA方法在蛋白质亚细胞定位中应用[J],大连理工大学学报,2012,52(3):426-430
[61] 周玮,孙辉,顾宏,陈晓东.含风电场的电力系统经济调度研究综述[J],电力系统保护与控制,2011,39(24):148-154
[62] He J.,Gu H.,Jiang S..Twin Gaussian processes for binary classification[A],11th IEEE International Conference on Data Mining, ICDM 2011,2011,1074-1079
[63] Qi, Kun Peng,Chen, Huo Lei,Long, Wu Qiang,Gu, Hong.Numerical Study on the Quasi-dimensional Model of Diesel Engine for Performance Optimization[A],International Conference on Energy, Environment and Sustainable Development (ICEESD 2011),2011,354-355:541-+
[64] Tian, Jiang,Gu, Hong,Liu, Wenqi,Gao, Chiyang.Robust prediction of protein subcellular localization combining PCA and WSVMs[J],COMPUTERS IN BIOLOGY AND MEDICINE,2011,41(8):648-652
[65] 刘文琦,顾宏,杨建华.基于身份的同时生效签密体制研究[J],电子与信息学报,2011,33(7):1582-1588
[66] Guo L.,Gu H.,Wang Z.,He X..An improved delay-range-dependent robust stability criterion for uncertain stochastic hopfield neural networks with mixed delays[J],ICIC Express Letters, Part B: Applications,2011,2(3):735-741
[67] Wang, Zhelong,He, Jianjun,Gu, Hong.Forward Kinematics Analysis of a Six-Degree-of-Freedom Stewart Platform Based on Independent Component Analysis and Nelder-Mead Algorithm[J],IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS,2011,41(3):589-597
[68] Tian, Jiang,Gu, Hong,Gao, Chiyang,Lian, Jie.Local density one-class support vector machines for anomaly detection[J],NONLINEAR DYNAMICS,2011,64(1-2):127-130
[69] Tian, Jiang,Gu, Hong,Liu, Wenqi.Imbalanced classification using support vector machine ensemble[J],NEURAL COMPUTING & APPLICATIONS,2011,20(2):203-209
[70] 李克秋,顾宏.Subjective Logic based Trust Update for Wireless Sensor Networks[A],2011
[71] 李克秋,顾宏.Subjective logic-based trust update for wireless sensor networks[A],2011,102:223-234
[72] Ma, Junwei,Liu, Wenqi,Gu, Hong.USING ELMAN NETWORKS ENSEMBLE FOR PROTEIN SUBNUCLEAR LOCATION PREDICTION[J],INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL,2010,6(11):5093-5103
[73] Guo, LiangDong,Gu, Hong,Zhang, DaQing.ROBUST STABILITY CRITERIA FOR UNCERTAIN NEUTRAL SYSTEM WITH INTERVAL TIME VARYING DISCRETE DELAY[J],ASIAN JOURNAL OF CONTROL,2010,12(6):739-745
[74] Ma, Junwei,Gu, Hong.A novel method for predicting protein subcellular localization based on pseudo amino acid composition[J],BMB REPORTS,2010,43(10):670-676
[75] Li, Dan,Gu, Hong,Zhang, Liyong.A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data[J],EXPERT SYSTEMS WITH APPLICATIONS,2010,37(10):6942-6947
[76] 贺建军,王欣,顾宏,王哲龙.基于Logistic回归模型和凝聚函数的多示例学习算法[J],大连理工大学学报,2010,50(5):788-793
[77] He J.,Gu H.,Wang Z..Multi-instance learning based on gaussian process for detecting regions of interest[A],5th IASTED International Conference on Computational Intelligence, CI 2010,2010,44-49
[78] 田江,顾宏.一种基于混合策略的孤立点检测方法[J],系统工程与电子技术,2010,32(8):1775-1779
[79] 王佳,王宏伟,顾宏.基于UD矩阵分解的模糊建模算法及收敛性分析[J],大连理工大学学报,2010,50(4):597-602
[80] Tian, Jiang,Gu, Hong.Anomaly detection combining one-class SVMs and particle swarm optimization algorithms[J],NONLINEAR DYNAMICS,2010,61(1-2):303-310