2001
[1] 刘海波,刘照德,顾国昌,张国印. LED大屏幕在国家粮食储备库监控系统中的应用.微型机与应用,2001,20(5)
[2] 刘照德,刘海波,顾国昌,张国印.国家粮食储备库监控系统中上位机与PLC的通信.应用科技.2001，28(7)
2002
[3] 刘海波，顾鑫，张国印.基于Telnet协议的中文BBS搜索引擎.微型机与应用，2002，21(4)
[4] 刘海波,张国印,付岩. 面向新闻组的信息搜索方法.应用科技,2002,29(11)
2003
[5] 刘海波,顾鑫.思维机器.现代科技译丛,2003,2
[6] 顾鑫,刘海波.机器鼠.现代科技译丛,2003,3
[7] 顾鑫,刘海波.睡眠让大脑为记忆归档.现代科技译丛,2003,3
[8] 刘海波,顾国昌,张国印.智能机器人体系结构分类研究.哈尔滨工程大学学报,2003,24(6)
2004
[9] 刘海波,顾国昌,张国印.分布式LED大屏幕系统显示脚本模型.应用科技,2004,31(6)
[10] 刘海波,张国印,顾国昌.Internet信息涉密检查系统设计与实现.应用科技,2004,31(11)
[11] 刘海波,顾国昌,张国印.基于多Agent的Internet信息涉密检查系统.计算机工程与应用,2004,40(9)
[12] 刘海波,顾国昌,沈晶,付岩.基于拓展BDI的AUV神经心理体系结构.第14届中国神经网络学术会议论文集,中国合肥,2004
[13] Haibo Liu, Guochang Gu, Jing Shen, Xingce Wang. AUV Neuropsychological Architecture with BDI. 2004 IEEE RAM, Singapore, 2004 (EI No.05038791351, ISTP No. 000227005400081)
[14] Jing Shen, Guochang Gu, Haibo Liu. Artificial Immune System and Its Applications in Robotics. WMRHLHS2004, Harbin, China, 2004
[15] Haibo Liu, Chunli Wang, Guochang Gu. Biosensors and the Applications on Environmental Monitoring. WMRHLHS2004, Harbin, China, 2004
[16] Guochang Gu, Haibo Liu, Jing Shen. A Survey on Intelligent Robot Architectures. WMRHLHS2004, Harbin, China, 2004
[17] Haibo Liu, Guochang Gu, Xiansong Meng, Chuanhua Zhao, Hongpu Chen. Simulation of Multi-AUV Cooperation Based on CADCON. WMRHLHS2004, Harbin, China, 2004
[18] Liu Haibo, Gu Guochang, Shen Jing. BDCIE: Extending BDI Logic in AUV Neuropsychological Architecture. JICC2004, Kunming, China, 2004
[19] Guochang Gu, Haibo Liu, Jing Shen. A Novel AUV Architecture for Cooperative Team. Proceeding of IWMST2004, Kitami, Japan, 2004
2005
[20] 刘海波,顾国昌,沈晶.基于Agent面向群体合作的AUV体系结构.机器人,2005,27(1) (EI No.05098866205)
[21] 刘海波,顾国昌,沈晶.脑基本机能联合区理论在智能机器人体系结构中的应用.计算机工程与应用,2005,41(8)
[22] 刘海波,顾国昌,张国印.基于Internet寻呼的超分散LED群显系统.应用科技,2005,32(4)
[23] 刘海波,顾国昌,沈晶.AUV心智状态的表示与处理.中南大学学报（自然科学版）,2005,36(S1) （EI No.05399388210）
[24] 顾国昌,付岩,刘海波.基于遗传模拟退火算法的水下机器人路径规划.哈尔滨工程大学学报,2005,26(1) （EI No.05209108995）
[25] 沈晶,顾国昌,刘海波.分层强化学习研究综述.模式识别与人工智能,2005,18(5) （EI No.05499528498）
[26] 沈晶,顾国昌,刘海波.分层强化学习中Option自动生成算法研究.计算机工程与应用,2005,41(34)
[27] 沈晶,顾国昌,刘海波.aiNet在分层强化学习中的应用.信息技术,2005年增刊
[28] 刘海波,孔晓东,顾国昌,高伟.智能机器人神经生理结构研究.信息技术,2005年增刊
[29] 刘海波,顾国昌,付岩,沈晶.基于CADCON的群体AUV三维仿真技术研究.计算机仿真,2005,22(12)
[30] Haibo Liu, Guochang Gu, Jing Shen. Fuzzy Neuro-BDI. AIAI 2005, Beijing, China, 2005 (ISTP No. 000231956800037)
[31] Haibo Liu, Guochang Gu, Jing Shen, Yan Fu. Water Mine Data Fusion and Model Recognition. 2005 IEEE ICIA, Hong Kong, 2005 (EI No.071210492656)
[32] Haibo Liu, Guochang Gu, Jing Shen, Yan Fu. A Fast Clonal Selection Algorithm for Constructing an Immune Neural Network. JICC2005, Chongqing, China, 2005 (ISTP No. 000233230700113)
[33] Haibo Liu, Guochang Gu, Jing Shen, Yan Fu, Xiaodong Kong. Neuropsychology-Inspired Architecture for AUV. ICNN&B, Beijing, China, 2005 (EI No. 070910447106 ISTP No. 000236575101062)
[34] Liu Haibo, Gu Guochang, Shen Jing, Fu Yan. Multi-Agent Immune Recognition of Water Mine Model. Journal of Marine Science and Application, 2005,4(2)
[35] Liu Haibo, Gu Guochang, Shen Jing, Fu Yan. AUV Fuzzy Neural BDI. Journal of Marine Science and Application, 2005,4(3)
2006
[36] 刘海波,顾国昌,沈晶.自治水下机器人心智模型.计算机应用,2006,26(3)
[37] 李涛,顾国昌,刘海波.柔性机器人水下运动的建模与仿真.计算机与信息技术.2006.4:16-17,20
[38] 刘海波,顾国昌,沈晶.智能机器人体系结构可分解性理论研究.计算机科学,2006,33(6)
[39] 刘海波,顾国昌,沈晶,付岩.智能机器人神经心理模型.控制理论与应用,2006,23(2) (EI No.062910014016)
[40] 沈晶,顾国昌,刘海波.基于多智能体的Option自动生成算法.智能系统学报,2006,1(1)
[41] 刘海波,顾国昌,沈晶,孔晓东.AUV心智逻辑.计算机应用研究,2006,23(10)
[42] 沈晶,顾国昌,刘海波.未知动态环境中基于分层强化学习的机器人路径规划.机器人,2006,28(5):544-547 (EI No.064410214916)
[43] 沈晶,顾国昌,刘海波.一种新的分层强化学习方法.计算机应用,2006,26(8)
[44] Jing Shen, Guochang Gu, Haibo Liu. Automatic Option Generation in Hierarchical Reinforcement Learning via Immune Clustering. ISSCAA2006, Harbin, China, 2006 (EI No. 064610244287, ISTP No.000237415000103)
[45] Haibo Liu, Guochang Gu, Changming Zhu, Hualong Yu. Implementing an Embedded Agent in Autonomous Underwater Vehicle. IWMST2006, Wuhan, China, 2006
[46] Jing Shen, Guochang Gu, Haibo Liu. Multi-Agent Hierarchical Reinforcement Learning by Integrating Options into MAXQ. IMSCCS06, Hangzhou, China, 2006(EI No. 065110322724, ISTP No.000239713800108)
[47] Jing Shen, Haibo Liu, Guochang Gu. Hierarchical Reinforcement Learning with OMQ. ICCI06, Beijing, China, 2006:584-588 (ISTP No.000246981800088)
2007
[48] 沈晶,顾国昌,刘海波.分层强化学习中的动态分层方法研究.小型微型计算机系统,2007,28(2)
[49] 沈晶,顾国昌,刘海波.分层强化学习中的并行自动分层方法研究.计算机工程与设计,2007,28(2):422-424
[50] 宋梅萍,顾国昌,张国印,刘海波.一般和博弈中的合作多agent学习.控制理论与应用,2007,24(2) (EI No.072310642785)
[51] 沈晶,顾国昌,刘海波.基于免疫聚类的自动分层强化学习方法研究.哈尔滨工程大学学报,2007,28(4) (EI No.072510663089)
[52] 于化龙，朱长明，刘海波，顾国昌，沈晶.发育机器人研究综述.智能系统学报,2007,2(4)
[53] 刘芳芳,葛景春,沈祺,刘海波.基于多Agent的地质勘查资质管理系统.电脑学习（黑龙江省计算机学会学术年会专刊）,2007(增刊)
[54] 沈晶,沈祺,赵卫平,刘海波.无线射频识别技术与应用研究综述.电脑学习（黑龙江省计算机学会学术年会专刊）,2007(增刊)
[55] 沈晶,程晓北,刘海波,张国印,顾国昌.一种多智能体分层强化学习方法.中国人工智能学会第12届全国学术年会,中国哈尔滨,2007
[56] 刘海波,沈晶,徐玉如,张汝波.基于免疫神经网络的水雷型号快速识别方法.中国人工智能学会第12届全国学术年会,中国哈尔滨,2007
[57] Xiaobei Cheng, Jing Shen, Haibo Liu, Guochang Gu. Multi-Robot Cooperation Based on Hierarchical Reinforcement Learning. LNCS 4489 (ICCS2007, Beijing, China), 2007 (EI No.080411044590, ISTP No.000246993500012)
[58] Haibo Liu, Jing Shen, Guochang Gu. Water Mine Model Recognition by Immune Neural Network. LNCS 4489 (ICCS2007, Beijing, China), 2007 (EI No.080411044610, ISTP No.000246993500032)
[59] Gu Guo-chang, Wang Xing-ce, Zhang Ru-bo, Liu Hai-bo. The design of the multirobot intelligent team formation's control architecture. Journal of Harbin Institute of Technology: 2007,14(1) (EI No.071610557714)
2008
[60] 沈晶,程晓北,刘海波,顾国昌,张国印.动态环境中的分层强化学习方法. 控制理论与应用,2008,25(1)(EI No.081611206275)
[61] 程晓北,沈晶,刘海波,顾国昌,张国印.分层强化学习研究进展.计算机工程与应用,2008,44(13)
[62] 刘海波，沈晶.地质勘查资质管理与审核系统.第七届（2008年）海峡两岸科技与经济论坛论文集,中国福州,2018:102-103
[63] 林玉娥,顾国昌,刘海波.一种改进的不相关空间算法及其在人脸识别中的应用.模式识别与人工智能,2008,21(5) (EI No. 084911765273)
[64] 林玉娥,顾国昌,刘海波,沈晶.一种新颖的核鉴别通用矢量集算法.计算机辅助设计与图形学学报,2008,22(12) (EI No. 20090211855883)
[65] Xiaobei Cheng, Jing Shen, Haibo Liu, Guochang Gu, Guoyin Zhang.Automatically Discovering Hierarchies in Multi-Agent Reinforcement Learning. ICICSE08, Harbin, China, 2008 (EI No.083811554793)
[66] Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen. Incremental Tumor Diagnosis Algorithm using new unlabeled microarray. IMSCCS'08, Shanghai, China, 2008 (EI No. 20091412013004, ISTP No.000268586000007)
[67] Yu-e Lin, Guochang Gu, Haibo Liu, Jing Shen. Directed Orthogonal Discriminant Analysis. IMSCCS'08, Shanghai, China, 2008 (EI No. 20091412013026, ISTP No.000268586000031)
[68] Yu-e LIN, Guo-chang GU, Hai-bo LIU, Jing SHEN. Kernel Null Foley–Sammon Transform. CSSE2008, Wuhan, China, 2008 (EI No. 20091211962149)
[69] ZHU Chang-ming, Guochang Gu, Haibo Liu, Jing Shen, Segmentation of Ultrasound Image Based on Texture Feature and Graph Cut. CSSE2008, Wuhan, China, 2008 (EI No.20091211962106)
[70] ZHU Chang-ming, Guochang Gu, Haibo Liu, Jing Shen, Hualong Yu.Segmentation of Ultrasound Image Based on Cluster Ensemblet. KAM2008, Wuhan, China, 2008 (EI No. 20092812179693,ISTP No.000266694700109)
[71] Lei Shi, Guochang Gu, Haibo Liu, Jing Shen. A semantic annotation algorithm based on image regional object ontology. CSSE2008, Wuhan, China, 2008 (EI No. 20091211963078)
[72] Lei Shi, Guochang Gu, Haibo Liu, Jing Shen. Image semantic classification algorithm research on kernel pca support vector machine. KAM2008, Wuhan, China, 2008 (EI No. 20092812179694,ISTP No.000266694700110)
[73] Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Changming Zhu. A Novel Discrete Particle Swarm Optimization Algorithm for Microarray Data-based Tumor Marker Gene Selection. CSSE2008, Wuhan, China, 2008 (EI No. 20091211962167)
2009
[74] 刘海波,沈晶,徐玉如,董宇欣,孔晓东.基于模糊小波神经网络的BDI模型.系统仿真学报,2009,21(8)
[75] 林玉娥,顾国昌,刘海波.2维不相关鉴别矢量集算法.中国图象图形学报,2009,14(5)
[76] 林玉娥,顾国昌,刘海波,沈晶.核不相关空间算法及在人脸识别中的应用.电子与信息学报,2009,31(8) (EI.20093812318853)
[77] 朱长明,顾国昌,刘海波,沈晶,于化龙.基于纹理结构的超声图像自适应去噪模型.哈尔滨工程大学学报,2009,30(11)(EI No.20100312641075)
[78] 朱长明,李晶,顾国昌,宫滨生,刘海波,沈晶.谱聚类集成的淋巴结超声图像分割算法,计算机辅助设计与图形学学报,2009,21(10) (EI.20094512438202)
[79] 于化龙,顾国昌,刘海波,沈晶,朱长明.改进的离散PSO和SVM的特征基因选择算法.哈尔滨工程大学学报,2009,30(12)(EI No.20100312641097)
[80] 于金峰,李士峰,刘海波.LED显示脚本模型设计.黑龙江大学学报(自然科学版),2009,26(增刊)
[81] Gu Guo-chang, Zhu Chang-ming,Liu hai-bo,Jing Sheng,Yu Hua-long. An Intelligent Image Segmentation Algorithm for Medical Ultrasonic Instruments. Key Engineering Materials, 2009,(10) (EI No. 20094512426619, ISTP No.000279339400176)
[82] Guo Song, Gu Guochang, Liu Haibo, Shen Jing, Li, Changyou. An Improved Algorithm for Diverse AdaBoostSVM. 2nd International Joint Conference on Computational Sciences and Optimization, Sanya, China, 2009: 839-842 (EI No.20094912527317; ISTP No. 000273548200192)
[83] Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen, Jing Zhao. A modified ant colony optimization algorithm for tumor marker gene selection. Genomics, Proteomics & Bioinformatics, 2009,7(4):200-208 (PubMed ID: 20172493)
2010
[84] 林玉娥,顾国昌,刘海波,沈晶.不相关局部保持鉴别分析算法.哈尔滨工程大学学报,2010,31(1):98-101,114(EI No.20102012932950)
[85] 林玉娥,顾国昌,刘海波,沈晶.一种核正交鉴别保局投影算法.电子学报,2010,38(4):979-965 (EI.20102312995669)
[86] 林玉娥,顾国昌,刘海波,沈晶,赵靖.适用于小样本问题的具有类内保持的正交特征提取算法.自动化学报,2010,36(5):644-649 (EI.20102513030764)
[87] 于化龙,顾国昌,刘海波,沈晶,赵靖.基于相关性分析的微阵列数据集成分类研究.计算机研究与发展,2010,47(2) (EI No.20101512841068)
[88] 张龙,刘鸿翊,刘海波.RFID技术在国内图书馆应用中的问题与对策.2009年研究生学术交流会通信与信息技术论文集,中国海口,2010
[89] 张巧荣,顾国昌,刘海波,肖会敏.利用多尺度频域分析的图像显著区域检测.哈尔滨工程大学学报,2010,31(3):361-365(EI No. 20102112950099)
[90] 郭耸,顾国昌,蔡则苏,刘海波,沈晶.肤色相似度和动态阈值相结合的肤色分割技术.计算机工程与应用,2010,46(18):1-3,12
[91] 吴艳霞,顾国昌,戴葵,刘海波,沈晶.汇编级软硬结合的控制流检测方法.计算机研究与发展,2010,47(8):1481-1489 (EI No.20103713231959)
[92] 沈晶,刘海波,张汝波,吴艳霞,程晓北.基于半马尔可夫对策的多机器人分层强化学习.山东大学学报(工学版),2010,40(4):1-7
[93] 于化龙,顾国昌,赵靖,刘海波,沈晶.基于DNA微阵列数据的癌症分类问题研究进展.计算机科学,2010,37(10)
[94] 吴艳霞,顾国昌,戴葵,沈晶,刘海波.基于签名的控制流错误检测算法检测能力的验证模型.宇航学报,2010,31(12):2776-2783
[95] Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen. A framework for microarray data-based tumor diagnostic system with improving performance incrementally. Expert system with applications, 2010,37(9):6682-6688 (SCI No.000278424600066)
[96] Hualong Yu, Guochang Gu, Haibo Liu, Jing Shen. Feature subspace ensemble classifiers for microarray data. ICIC Express Letters, 2010,4(1): 143-147(EI No. 20100612700390)
[97] Zhang Qiaorong, Liu Haibo, Shen Jing, Gu Guochang, Xiao Huimin. An improved computational approach for salient region detection. Journal of Computers, 2010,5(7): 1011-1018 (EI.20102713057136)
[98] Qiaorong Zhang, Yafeng Zheng, Haibo Liu, Jing Shen, Guochang Gu. Perceptual Object Extraction Based on Saliency and Clustering. Journal of Multimedia, 2010, 5(4): 393-400 (EI No.20103413187707)
[99] Haibo Liu, Changjian Zhou and Jing Shen. A Survey on video caption extraction. ICICSE10, Harbin, China, 2010 (EI No.20115014592539)
[100] Haibo Liu, Changjian Zhou, Jing Shen, Pingke Li, Shengping Zhang. Video caption detection algorithm based on multiple instance learning. ICICSE10, Harbin, China, 2010:20-24 (EI No.20115014592534)
[101] Guo Song, Gu Guochang, Liu Haibo, Shen Jing, Cai Zesu. A new AdaboostSVM algorithm based on multi-feature fusion for multi-pose face detection. CISP 2010, Yantai, China, 2010: 1735-1739 (EI No.20105213529784)
2011
[102] 兰海燕,杨莘元,刘海波,马雪松.基于文化算法的多用户OFDM系统资源分配.吉林大学学报(工学版),2011,41(1):226-230 (EI No.20110813693189)
[103] 郭耸,顾国昌,蔡则苏,刘海波,沈晶.基于肤色分割和改进的AdaBoostSVM算法的人脸检测.吉林大学学报（工学版）,2011,41(2):473-478 (EI No.20111513905305)
[104] 于化龙,顾国昌,赵靖,刘海波,沈晶.基于DNA微阵列数据的特征子空间集成分类.吉林大学学报（工学版）,2011,41(4):1071-1076(EI No.20113014176482)
[105] 张巧荣,景丽,肖会敏,刘海波.利用视觉显著性的图像分割方法.中国图象图形学报,2011,16(5):767-772
[106] 刘海波,沈晶.催化燃烧式瓦斯传感器技术研究进展.智能计算机与应用,2011,1(3):71-73
[107] 高飞,刘鸿翊,兰海燕,刘海波.RFID信息化图书馆效益评估方法研究,图书馆情报工作,2011,51(1):31-34,129
[108] Changming Zhu, Haibo Liu, Jing Shen, Guochang Gu, Jun Ni, Yanbo Li. Images Segmentation with improved PCNN by Differential Evolution. ICIC Express Letters, 2011,5(3):713-717 (EI No.20110813684364)
[109] Changming Zhu, Haibo Liu, Jing Shen, Jun Ni, Guochang Gu, and Yanbi Li. Virus-evolutionary Discrete Differential Evolution Algorithm for Knapsack Problem. ICIC Express Letters, 2011,5(6): 2035-2040 (EI No.20112113999810)
[110] Qiaorong Zhang, Huimin Xiao, Haibo Liu. A Hierarchical Computational Model of Selective Visual Attention. Journal of software, 2011,6(9):1705-1712 (EI No.20113414252585)
[111] Jun Ni, Haibo Liu. SoSE Approach to Design and Integration of Medical Imaging Informatics Enterprise Systems. ICMII 2011, Shanghai, China, 2011
[112] Song Hongtao,Liu Haibo, Lan Haiyan. 2.4GHz active RFID system based on nRF24LE1. ICECC 2011, Ningbo, China, 2011:1-4 (ISTP No.000298656800001,EI No.20114714544260)
[113] Hongtao Song, Haiyan Lan, Haibo Liu, Hongyi Liu. Study on inconsistency of RFID tag recognition distance. ICCSNT 2011, Harbin, China, 2011 (ISTP No.000304720100039,EI No.20121914993934)
2012
[114] 钱真,彭秀艳,贾书丽,刘海波.动平台下双目视觉定位标定算法研究.计算机仿真,2012,29(10):293-297
[115] 郭耸,顾国昌,蔡则苏,刘海波,沈晶.基于特征融合与决策树级联结构的多姿态人脸检测.沈阳工业大学学报,2012,34(2):203-208（EI No.20121915008174）
[116] 郭耸,顾国昌,蔡则苏,刘海波,沈晶.基于组件距离匹配度函数检测部分遮挡的人脸方法.高技术通讯,2012,22(4):382-387(EI No.20122215069623)
[117] 张巧荣,朱长明,倪军,刘海波.病毒进化的离散差分进化超声图像特征选择.中国图象图形学报,2012,17(7):866-872
[118] Zhihui Li, Haibo Liu, Di Sun. Moving object detection and locating based on region shrinking algorithm. ICMA 2012, Chengdu, China, 2012:2515-2518(EI No.20124315598027)
[119] Li Zhi-Hui, Zhang Meng, Liu Hai-Bo. A Fast Algorithm of Image Segmentation based on Markov Random Field. International Conference on Wavelet Active Media Technology and Information Processing (ICWAMTIP), Chengdu, China, 2012: 117-120 (ISTP No.000315690100029)
2013
[120] 沈晶,刘海波. 弱通信条件下基于Q图迁移的多智能体分层强化学习.中国科技论文在线，2013. http://www.paper.edu.cn/releasepaper/content/201302-26
[121] 刘海波,沈晶. 基于启发式探测的多智能体分层强化学习.中国科技论文在线，2013. http://www.paper.edu.cn/releasepaper/content/201302-29
[122] 周长建,司震宇,邢金阁,刘海波.基于Deep Learning网络态势感知建模方法研究.东北农业大学学报,2013,44(5):144-149
[123] Haiyan Lan,Hongtao Song,Haibo Liu,Guoyin Zhang. Heterogeneous-oriented Resource Allocation Method in Internet of Things. Applied Mechanics and Materials,2013,v427-429:2791-2794
2014
[124] 牛晓霞,吴艳霞,朱若平,顾国昌,刘海波.基于多种硬件实现方式探索的软硬件划分算法.吉林大学学报(工学版),2014,44(4):1088-1093
[125] Li Zhihui, Hou Ying, Liu Haibo, Li Xiang. Very low resolution face reconstruction based on multi-output regression. Proc. of 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014, Ottawa, Canada, 2014:74-77 (EI No.20143017987080)
2015
[126] Li Xu, Liqiang Pan, Shuilin Jin, Haibo Liu, Guisheng Yin. A Reliability-Based Track Fusion Algorithm. Plos One, 2015,10(5)（SCI No.000354214400074）
[127] Jing Shen, Haibo Liu, Yanxia Wu, Xingmei Wang. SIFT Vector Field Building Algorithm. ICICSE 2015, Harbin, China, 2015 (EI No.20162202433894)
2016
[128] 兰海燕,吴艳霞,刘海波.基于消除冗余编译的Trace优化生成方法.自动化技术与应用,2016，35(7)：32-35,53
2017
[129] 周长建,邢金阁,刘海波.融合多协议的网络层拓扑发现算法研究.计算机科学,2017,44(6A):361-365
2018
[130] 任舒婷,刘海波,张竞文.基于改进遗传算法的频谱监测系统规划研究.通信技术,2018,(12)
2019
[131] Qiao Tian, Jingmei Li, Haibo Liu. A Method for Guaranteeing Wireless Communication based on a combination of deep and shallow learning. IEEE Access,2019,7(1):38688-38695 DOI：10.1109/ACCESS.2019.2905754 （SCI一区 No.000464732100001）
[132] Haibo Liu, Yonghuai Liu, Jing Shen, Lihua Yuan, Bruce Richard.Cleft lip segmentation based on fusion of colour and contours detection. ECPCA 2019, Utrecht, The Netherlands, 2019(Abstract)
[133] 马春光,郭瑶瑶,武朋,刘海波.生成式对抗网络图像增强研究综述.信息网络安全,2019,19(5):10-21
2020
[134] 刘海波,武天博,沈晶,史长亭.基于GAN-LSTM的APT攻击检测.计算机科学,2020,47（1）:281-286
[135] 薛少勃,沈晶,刘海波.基于持续增量模型的低速端口扫描检测算法.计算机应用研究,2020,37(4):1125-1127,1131
[136] 王晓晨,沈晶,刘海波,于爱民,蔡利君.自动协议逆向工程研究综述.计算机应用研究,2020,37,(9):2561-2570,2585
[137] Lihua Yuan, Xiao Zhu, Quanbin Sun, Haibo Liu, Peter Yuen, Yonghuai Liu. Automatic extraction of material defect size by infrared image sequence. Applied Sciences,2020,10(22),doi:10.3390/app10228248
2021
[138] Changjian Zhou, JInge Xing, Haibo Liu. Multiple Properties Based Moving Object Detection Algorithm. Journal of Information Processing Systems，2021,17(1):124-135 (EI No.20211410159483)
[139] Haibo Liu, Yang Lin, Jing Shen*, Xing Wang*, Changting Shi, Jiayu Zhang. Scalable Distributed Organizational Structure and Self-Organization Mechanisms for Unmanned System Cluster. ICCSNT 2021, Dalian, China, 2021
2023
[140] Shuo Zhao, Pent Cui, Jing Shen, Haibo Liu. Local saliency consistency‐based label inference for weakly supervised salient. CAAI Transactions on Inteelligence Tehcnology, 2023,DOI: 10.1049/cit2.12210（SCI No.000943858200001）
[141] Xiang Gao, Weiqing Chen, Liangyu Lu, Ying Cui, Xiang Dai, Lican Dai, Kan Wang, Jing Shen, Yue Wang, Shengze Wang, Zihan Yu and Haibo Liu. An Interpretable Fake News Detection Method Based on Commonsense Knowledge Graph. Applied Sciences, 2023, 13(11), 6680; https://doi.org/10.3390/app13116680
[142] XIANG DAI,YUE WANG, XIN LIU,DAN SONG, ZHAOBO JUAN, SHENGZE WANG，LIANGYU LU, HAIBO LIU, JING SHEN∗. Event Evolutionary Graph Comparison Network for Multi-Modal Fake News Detection. MLNLP 2023, Sanya, China, 2023
2024
[143] Haibo Liu, Yang Liao, Changting Shi, Jing Shen. Task Allocation of Heterogeneous Multi-Unmanned Systems Based on Improved Sheep Flock Optimization Algorithm. Future Internet, 2024,16(4), 124, https://doi.org/10.3390/fi16040124
[144] Shengze Wang, Xing Wang*, Jing Shen*, Haibo Liu. Event Knowledge Enhanced Network for Weakly Supervised Phrase Grounding. ISAICS 2024, Changsha, 2024
[145] Xin Liu, Lican Dai, Kaichen Cao, Dan Song, Liangyu Lu, Shengze Wang, Haibo Liu*. Knowledge-Aware Multimodal Explainable Fake News Detection. ICCBD+AI 2024, Jingde, 2024
[146] 葛宇,廖煜雷,王博,李晔,史长亭,刘海波,贾琪.基于零空间行为融合的多智能体编队控制综述.哈尔滨工程大学学报,2024,45(8):1442-1450
2025
[147] Zhixiang Zhao, Yanxia Wu, Guoyin Zhang, Yiqing Yang, Haibo Liu. Block strategy and adaptive storage for sparse matrix–vector multiplication on GPU. Cluster Computing, 2025,28(291):2-22
[148] Liu Haibo,Wang Shengze,Shen Jing*. A Domain-Adaptive Framework for Constructing Eventic Graphs. IJCNN2025, ROME, ITALY, 2025(Accepted)
[149] Jing Shen, Yanjia Wang, Shengze Wang, Yuping Wu, Haibo Liu*. Multi-modal Similarity Guided Adaptive Fusion Network for Short Video Fake News Detection. ICMR 2025. Chicago, USA,2025(Accepted)
[150] Jing Shen, Honghe Lang, Shengze Wang, and Haibo Liu*. Frequency-Aware Robust Multimodal Fake News Detection. ICIC2025,Ningbo, CHINA, 2025(Accepted)
