个人简历
科研状况
42、教育部产学研协同育人项目,阿里云计算有限公司,基于阿里云平台和通义千问大模型的人工智能前沿与探索课程实战教学改革与创新创业教育,2024/10-2025/10,5万元,主持
41、长沙熠阳启鸿科技有限公司委托项目,H202491428189,金融超算创新中心服务平台,2024/07-2029/07,6500万元,参与(排名二)
40、湖南开鸿智谷数字产业发展有限公司发明专利技术实施许可,H202492368211,机器人安全协同技术(一种基于空闲节点主动的安全内存共享方法),2024/07-2025-07,3万元,参与(排名二)
39、国家自然科学基金面上项目,62472165, 基于知识增强和多模态数据驱动的分子性质预测方法研究,2025/01 - 2028/12,50万元,主持
38、雪天盐业集团股份公司技术委托合同,H202494428111,雪天盐业集团股份公司信息化平台技术服务及数据异地灾备与网络安全技术服务,2024/01-2024/09,130.6万,主持
37、湖南省教学改革项目,202401000462,人工智能赋能高等继续教育新范式的研究与实践,2024/06-2026/06,2万元,主持
36、杭州海康威视数字技术股份有限公司委托项目,H202491420100,多模态大模型和大语言模型研究及应用,2024/03/01-2025/04/01,226万元,参与(排名4)
35、湖南开鸿智谷数字产业发展有限公司技术开发合同,H202391429251,基于开源鸿蒙的多设备安全协同处理技术,30万元,参与(排名第二)
34、雪天盐业集团股份公司技术委托合同,H202394429296,雪天盐业集团股份公司信息化平台技术服务及数据异地灾备与网络安全技术服务,2023/01-2023/12,196万元,主持
33、苏州凯德斯电子科技有限公司技术开发合同,H202391429261,农业机械BSP驱动及应用软件开发,2023/10-2024/12,120万,主持
32、湖南省自然科学基金,2023JJ30161,面向精准医疗的肿瘤亚型分层及其免疫逃逸机制研究,2023/01-2025/12,5万元,主持
31、华为技术委托项目,H202291420659,运行态软件轻量级完整性校验技术,2022/11-2023/11,100.8万元,参与(排名第二)
30、湖南省教育厅科学研究重点项目项目,22A0022,基于多源数据肿瘤亚型识别方法及免疫逃逸机制研究,2023/01-2025/12,8万元,主持
29、重庆市自然科学基金面上项目,CSTB2022NSCQ-MSX1551,基于核酸适配体BC-3激活式和可视化策略的膀胱癌临床检测研究,2022/08-2025/07,5万元,参与(排名第二)
28、招商银行舆情预警IT技术实施服务合同,H202294420334,2022/07-2023/07,48万元,主持
27、湖南大学重大前沿交叉学术研究,X20220001,基于脑启发的计算电路设计与应用,2022/04-2024/12/31,50万,参与(排名第六)
26、长沙市揭榜挂帅重大科技项目子课题,KQ2102002,工程机械专用智能传感器标定算法及软件开发(工程机械专用智能传感器关键技术),2022/05-2024/12,17万元,主持
25、长沙市自然科学基金,KQ2202137,面向精准医疗的肿瘤免疫亚型识别方法研究,2022/01-2023/12,10万元,主持
24、雪天盐业集团股份公司技术委托合同,雪天盐业集团股份公司信息化底层硬件平台云租及技术服务,2022/01-2022/12,130万,参与(排名第二)
23、教育部产学合作协同育人项目,202101007007,人工智能前沿与探索课程实践教学改革,百度在线网络技术(北京)有限公司,2021/06-2022/12,5万元,已结题,主持
22、教育部产学合作协同育人项目,202101024052,Robot工作坊无人驾驶人工智能综合应用实践基地建设,北京钢铁侠科技有限公司,2021/06-2022/12,20万元,已结题,主持
21、军工与重大专项,JZ20205240040,水下流动电势被动XX与高精度惯性组合XX技术,2020/06-2022/12、300万元、已结题、子课题负责人。
20、湘江集团技术委托项目,H202191420071,湘江集团信息化监督平台二期,2020.7-2021.9,74万,参与(排名第二)
19、雪天盐业集团股份公司技术委托合同,H202094420147,湖南盐业股份公司信息化底层硬件平台数据异地灾备及网络安全技术服务,2020.1/2020.12,29万,主持
18、雪天盐业集团股份公司技术委托合同,H202094420154,湖南省轻工盐业集团信息化底层硬件平台云租及技术服务,2020.1/2020.12,34万,参与
17、长沙市科技计划项目,KQ2004009,核酸适体S11e对纤维肉瘤的分子识别和抗肿瘤作用机制研究、2020/01-2021/08、10万元、已结题、参与。
16、湖南省教学改革课题,基于“移动互联网”的成人教育创新创业项目管理模式研究,2019/06-2022/06,2万元,已结题,主持
15、教育部产学合作协同育人项目,湖南大学南北天地跨境电商校内实训基地,2019/10-2020/10,3万元,已结题,主持
14、招商银行技术委托合同,201894421155,招商银行IT咨询服务采购合同, 2018.6-2020.12,268万,负责子课题
13、湖南省自然科学基金面上项目,2018JJ2055 ,基于深度学习模型的复杂疾病上位性及异质性分析研究,2018/06-2020/12,5万元,已结题、主持
12、青年教师成长计划,校级课题,复杂疾病上位性及异质性分析中数据挖掘方法研究2014/06-2019/06, 25万元、已结题、主持
11、湖南省教学改革课题,基于微信公众平台的电工电子实践教学信息化管理平台建设与研究,2015/06-2018/06,2万元、已结题、主持
10、湖南省教学改革课题,基于多专业协同创新的电工电子实习模式探索与研究,2016.7-2019.6,2万元,已结题,参与。
9、湖南省社会科学基金项目,高校工程训练中心“互联网+”综合应用创新平台的建设与运用研究,2017.7-2020.7,2万元,已结题,参与
8、湖南省教学改革项目,“双一流”建设背景下生化与分子生物学研究技术的教学改革研究。2018.7-2021.12,2万元、已结题、参与(第二)
7、湖南省教学改革项目,微信公众号用于动物学教学,2016.7-2019.6,2万元,已结题,参与
6、国家自然科学基金青年项目,31701249 ,核酸适体RCC-H1b对肾癌识别和细胞核定位的研究,2018/01-2020/12,25万元、已结题、参与
5、湖南省科技计划项目,2017DK2011,面向早期结直肠癌诊治的小鼠T分期原位模型构建及其功能化探针筛选与靶向诊疗应用研究,2017/03-2019/12,90万元,已结题、参与
4、国家自然科学基金面上项目,61472127、复杂疾病的基因调控网络构建及调控机制研究、2015/01-2018/12、83万元、已结题、参加。
3、国家自然科学基金面上项目,61370171、大规模SNP数据挖掘及其在复杂疾病分析中的应用研究、2013/09-2017/12、79万元、已结题、参加。
2、国家2011计划项目,高性能计算协同创新中心、2014/01-2017/12、1000万、已结题、参加。
1、湖南省科技计划重点项目,2012FJ2012、肿瘤数字基因表达谱数据挖掘方法及其致病机理研究、2012/01-2014/12、10万元、已结题、参加。
学术论文
42、Zixing He, Yizhang Wen*, Ping Zhang, Yujie Yang, Haowen Chen*, Song Hu, Yinman Xue, Haocheng Zhang, Chenxi Hong,Characteristic study and instrument development of COD sensors consisting of LED and PN tube,Measurement,2025,(241):115759,https://doi.org/10.1016 /j.measurement.2024.115759.(https://www.sciencedirect.com/science/article/pii/S0263224124016440)
41、Mao Yuanfang, Wen Yizhang*, Chen Haowen, Liao Min. Tungsten-liquid triboelectric nanogenerator for water-flowing energy harvesting with low resistance and high-DC density[J]. Energy, 2024.
40、Xia Chen, Hao Nie, Quanwei Chen, Xiang Zhang, Zixing He, Xiuxiu Chao, WeihaoOu, Xiangzheng Fu, HaowenChen*. A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder. In: Peng, W., Cai, Z., Skums, P. (eds) Bioinformatics Research and Applications. ISBRA 2024. Lecture Notes in Computer Science(), vol 14954. Springer, Singapore. https://doi.org/10.1007/978-981-97-5128-0_41,ISBRA 2024
39、Xiong Li; Xuan Feng; Juan Zhou; Yuchao Luo; Xiao Chen; Jiapeng Zhao; Haowen Chen*; Guoming Xiong; Guoliang Luo,A Muti-modal feature fusion method based on deep learning for predicting immunotherapy response.Journal of Theoretical Biology,Volume 586, 7 June 2024, 111816,https://doi.org/10.1016/j.jtbi.2024.111816
38、Xiang Zhang, Hongxin Xiang*, Xixi Yang, Jingxin Dong, Xiangzheng Fu,Xiangxiang Zeng, Haowen Chen*, and Keqin Li. Dual-view learning based on images and sequences for molecular property prediction,IEEE Journal of Biomedical and Health Informatics (JBHI),2024,28(3): 1564-1574,DOI: 10.1109/JBHI.2023.3347794
37、Yansen Su, Zhiyang Hu, Fei Wang, Yannan Bin, Chunhou Zheng, Haitao Li*, Haowen Chen*, Xiangxiang Zeng, AMGDTI: drug–target interaction prediction based on adaptive meta-graph learning in heterogeneous network, Briefings in Bioinformatics, Volume 25, Issue 1, January 2024, bbad474, https://doi.org/10.1093/bib/bbad474
36、Zhan, T. , Liu, L. , Liu, R. , Huang, E. , He, Z. , & Chen, H. *, et al. Enhancing Material Removal Rate Prediction on Wafer Surface: A PSO-DBN-OSELM Approach. 2023 2nd International Conference on Advanced Sensing, Intelligent Manufacturing (ASIM). IEEE.
35、黄玲,陈浩文,张伟,基于Hausdorff距离和变参差分进化的SAR图像配准,南京理工大学学报,2023年03期:337-342+372,7
34、Y. Mao, Y. Wen*, H. Chen and M. Liao, "Tungsten-oxide/liquid electrical-double-layer capacitive sensors and EIS characterization for liquid pressure monitoring," IEEE Transactions on Instrumentation and Measurement, 2023(9), doi: 10.1109/TIM.2023.3309364.
33、Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen*, Bosheng Song*, Philip S Yu, Xiangxiang Zeng, Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction, Briefings in Bioinformatics, 2023, 24(4):1-20,DOI:10.1093/bib/bbad235
32、Qiang Qu, Xia Chen, Bin Ning, Xiang Zhang, Hao Nie, Li Zeng, Haowen Chen*, Xiangzheng Fu*. Prediction of miRNA-disease associations by neural network-based deep matrix factorization,Methods,Volume 212,2023,Pages 1-9,https://doi.org/10.1016/j.ymeth.2023.02.003.
31、Xiong Li,Xu Meng,Haowen Chen,Xiangzheng Fu,Peng Wang,Xia Chen,Changlong Gu,Juan Zhou. Integration of single sample and population analysis for understanding immune evasion mechanisms of lung cancer. NPJ Syst Biol Appl, 2023, 9(4). https://doi.org/10.1038/s41540-023-00267-8
30、Kang, Z. , He, Z. , Wen, Y. , Liao, M. , Li, X. , & Chen, H. , et al. Smart cod sensor using uv-vis spectroscopy against optical window surface contamination. Measurement, 2022, (187-), 187.
29、Tang, D. Y. , Zhou, S. W. , Luo, M. R. , Chen, H. W. , & Tang, H. . (). A new discriminative sparse parameter classifier with iterative removal for face recognition. Journal of Central South University, 2022,29(4), 1226-1238.
28、D. Tang, S. Zhou, H. Jiang, H. Chen and Y. Liu, Gender-Adversarial Networks for Face Privacy Preserving, in IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17568-17576, 15 Sept.15, 2022, doi: 10.1109/JIOT.2022.3155878.
27、Xia Chen, Yexiong Lin, Qiang Qu, Bin Ning, Haowen Chen*, Bo Liao and Xiong Li,Analyzing Association Between Expression Quantitative Trait and CNV for Breast Cancer Based on Gene Interaction Network Clustering and Group Sparse Learning , current bioinformatics,2022,17(4): 358-368
26、Y. Mao, Y. Wen, H. Chen, M. Liao and F. Zhang, Tungsten Oxide Flow Sensor and its Performance Regulation, in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-8, 2022, Art no. 9506608, doi: 10.1109/TIM.2022.3177202.
25、Xia Chen, Yexiong Lin, Qiang Qu, Bin Ning, Haowen Chen*, Xiong Li. An epistasis and heterogeneity analysis method based on maximum correlation and maximum consistence criteria[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 7711-7726. doi: 10.3934/mbe.2021382、
24、Haowen Chen*, Qiang Qu, Yexiong Lin, Xia Chen, and Keqin Li, Authenticity verification on social data outsourcing, Computers & Security, volume 100, 102077, January 2021.
23、Xia Chen, Yexiong Lin, Qiang Qu, Bin Ning, Haowen Chen* and Lijun Cai . A Multi-Source Data Fusion Framework for Revealing the Regulatory Mechanism of Breast Cancer Immune Evasion. Front. Genet., 12 November 2020 | https://doi.org/10.3389/fgene.2020.595324
22、Xia Chen(#); Haowen Chen(*); Dan Cao; Bo Li, Kernelized Convex Hull based Collaborative Representation for Tumor Classification.Current Proteomics, 2018.11.1 11, 15(5): 384~393 ; SCIE, SSCI, EI
21、Weibiao Li,Bo Liao,Wen Zhu, Haowen Chen. Fisher Discrimination Regularized Robust Coding Based on a Local Center for Tumor Classification. Dec 2018, Scientific Reports
20、Liu, Wei(#); Zhu, Wen; Liao, Bo(*); Chen, Haowen; Ren, Siqi; Cai, Lijun.Improving gene regulatory network structure using redundancy reduction in the MRNET algorithm,Rsc Advances, 2017, 7(37): 23222~23233
19、Gu, Changlong; Liao, Bo; Li, Xiaoying; Cai, Lijun; Chen, Haowen; Li, Keqin; Yang, JialiangNetwork-based collaborative filtering recommendation model for inferring novel disease-related miRNAs,RSC ADVANCES, 2017, 7(71): 44961~44971 ; SCIE
18、Zeng, Jinping(#); Chen, Haowen; Xu, Hongru(*). Quadratic convergence of monotone iterates for semilinear elliptic obstacle problems,Journal of Inequalities and Applications, 2017.9.25
17、 Liao, Bo(#)(*); Li, Xiong; Cai, Lijun; Cao, Zhi; Chen, Haowen,A Hierarchical Clustering Method of Selecting Kernel SNP to Unify Informative SNP and Tag SNP,IEEE-ACM Transactions ON Computational Biology and Bioinformatics, 2015.2, 12(1): 113-122
16、Bo Liao*; Xiong Li; Lijun Cai; Zhi Cao; Haowen Chen, A Hierarchical Clustering Method of Selecting Kernel SNP to Unify Informative SNP and Tag SNP, IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 12(1), pp 113-122, 2015/1/1.
15、李雄(#)(*); 廖波; 陈浩文, A new technique for generating pathogenic barcodes in breast cancersusceptibility analysis, Journal of Theoretical Biology, 2015.1.1, 366(7): 84~90
14、Haowen Chen; Xia Chen; Qingming Hu; Zhi Cao*, Predicting Protein Subcellular Location based on a Novel Sequence Numerical Model,Journal of Computational and Theoretical Nanoscience, 12(1), pp 82-87, 2015/1/1.
13、马亿旿;陈娟;陈浩文;李波;蔡立军*,Sequenceand Functional Annotations-Based Prediction of Protein-Protein Interactions. J. Comput. Theor. Nanosci. , 12(12), pp 4679-4685, 2015/12/1.
12、廖波*;丁素梅;陈浩文;李泽军;蔡立军. Identifying human microRNA-disease associations by a new diffusion-based method, Journal of Bioinformatics and Computational Biology, 13(4), 2015/4/1.
11、陈霞, 陈浩文. 基于序列功能注释的蛋白质相互作用预测方法研究[J]. 安徽农业科学, 2015, 000(028):352-353.
10、姚兰;张雄机;李董辉*;曾锋;陈浩文, An In-terior Point Method for L1/2-SVM and Application to Feature Selection in Classfication,Journal of Applied Mathematics, 1(1), 2014/3/1.
9、Bo Liao*; Chunguang Zhou; Xiong Li; Haowen Chen, Approach of Fusing Multiple Tests to Analyzing Rare Genetic Variants,Journal of Computational and Theoretical Nanoscience, 11(5), pp 1349-1353, 2014/5/1.
8、Haowen Chen; Lei Huang; Hao Huang; *Bo Liao; Zhi Cao, A Transfer Learning Model for Unbalanced Archaeal Bacterial Protein Subcellular Localization, Journal of Computational and Theoretical Nanoscience, 11(7), pp 1579-1584, 2014/7/1.
7、Xinjuan Peng; Lijun Cai*; Bo Liao; Haowen Chen; Wen Zhu, Detecting the Maximum Similarity Bi-Clusters of Gene Expression Data with Evolutionary Computation,Journal of Computational and Theoretical Nanoscience, 11(7), pp 1585-1591, 2014/7/1.
6、Liao Bo*; Fu Xiangzheng; Cai Lijun; Chen Haowen, Identifying Protein Complexes by Reducing Noise in Interaction Networks,Protein Peptide Letters, 21(7), pp 688-695, 2014/7/1.
5、Bo Liao*; Qingming Hu; Lijun Cai; Haowen Chen; Wen zhuRNA-Transverse and Longitudinal Protein Sequence Encoding: An Encoding Method for Protein Sequence and Its Application, Journal of Computational and Theoretical Nanoscience, 11(4), pp 1169-1173, 2014/4/1.
4、李曼;曹智*;李雄;陈浩文, A Novel Informative SNPs Selection Method Based on Genetic Algorithm.J. Comput. Theor. Nanosci, 11(10), pp 2109-2114, 2014/10/1.
3、李泽军*;杨昂;陈霞;曾丽君;陈浩文, A Two-Stage Method for Selecting Potential Single Nucleotide Polymorphisms in Complex Disease Study, J. Comput. Theor. Nanosci. , 11(3), pp 711-714, 2014/3/1.
2、Haowen Chen; Bo Liao*; Lijun Cai; Xia Chen; Shixiong Liu, A Novel Numerical Feature Extraction Method for Protein Subcellular Localization, Journal of Computational and Theoretical Nanoscience, 10(11), pp 2618-2625, 2013/11/1.
1、Bo Liao*; Ting Peng; Haowen chen, Incorporating Secondary Structural Features into Sequence Information for Predicting Protein Structural Class, Protein Peptide Letters, 20(10), pp 1079-1087, 2013/10/1.