当前位置: X-MOL首页全球导师 国内导师 › 高建良

个人简介

高建良,留美博士后。 本科和博士(硕博连读)分别毕业于国防科技大学计算机学院和中国科学院大学(中国科学院计算技术研究所)。 紧急通知: 博士研究生报名截止时间:2021年1月15日 http://gra.csu.edu.cn/wjtzxq131749_1_1.html 。 招生:硕士、博士、博士后 (联系方式:gaojianliang@csu.edu.cn): 目前正在招收2021年入学的学生,招收硕士研究生3名,博士研究生1名。另外,招收博士后若干名。 研究生将同时获得科学研究和实际项目开发的机会,学生基本都能获得各类奖学金,课题组毕业生去向都是互联网行业的顶级企业或金融银行业。招生名额有限,尽快邮件联系,要求动手能力强、自我约束能力强、团队合作能力强。 科学研究项目: 作为项目负责人主持国家自然科学基金项目、中国博士后特别资助项目、企业项目等,项目经费充足。 应用系统开发: 结合课题组科研成果和行业大数据(目前主要是金融、电力、互联网行业),开发出在不同领域能够产生巨大价值的应用系统。 教学: 作为最早研究大数据的教授之一,推动了中南大学获批成为全国第一批设立数据科学与大数据技术专业的三所高校之一,主编了大数据教材《Spark大数据编程基础(Scala版)》 http://aibigdata.csu.edu.cn/。 教育经历 [1] 中国科学院大学 | 计算机 | 博士学位 | 博士研究生毕业 [2] 国防科技大学 | 计算机 | 学士学位 | 大学本科毕业

研究领域

近年来主要研究大数据和人工智能前沿技术,包括:机器学习、行业大数据挖掘、人工智能等。发表高水平学术论文三十余篇

大数据、人工智能、机器学习、大规模图数据挖掘。 项目方面,目前正在开发大数据人工智能相关的应用系统,近期目标是开发出金融大数据、互联网大数据、电力大数据领域能够产生巨大价值的应用系统。

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

2021 Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu: Large-scale online multi-view graph neural network and applications. Future Gener. Comput. Syst. 116: 145-155 (2021) 2020 Zhao Li, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao, Jun Gao: Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation. Complex. 2020: 6136095:1-6136095:13 (2020) Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang: Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Jesper Andersson: The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage 223: 117303 (2020) Jianliang Gao, Ling Tian, Yuxin Liu, Jianxin Wang, Zhao Li, Xiaohua Hu: Multi-task Based Few-Shot Learning for Disease Similarity Measurement. BIBM 2020: 263-268 Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li: Time-aware Graph Relational Attention Network for Stock Recommendation. CIKM 2020: 2281-2284 Zhao Li, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, Jianliang Gao: Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. DASFAA (1) 2020: 663-670 Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li: MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. SIGIR 2020: 1697-1700 Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao: Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020) Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan: Distant Supervision for E-commerce Query Segmentation via Attention Network. CoRR abs/2011.04166 (2020) Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu: Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR abs/2011.11860 (2020) [–] 2010 – 2019 2019 Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan, Jianxin Wang, Jin Liu: Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier. Neurocomputing 324: 63-68 (2019) Jianliang Gao, Jianxin Wang, Jianbiao He, Fengxia Yan: Against Signed Graph Deanonymization Attacks on Social Networks. Int. J. Parallel Program. 47(4): 725-739 (2019) Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Toor, Ola Spjuth: On-demand virtual research environments using microservices. PeerJ Comput. Sci. 5: e232 (2019) Ling Tian, Jianliang Gao, Jianxin Wang, Ying Wang, Bo Song, Xiaohua Hu: Measuring Disease Similarity Based on Multiple Heterogeneous Disease Information Networks. BIBM 2019: 228-231 Hongliang Du, Zhiyi Jiang, Jianliang Gao: Who is Who: Name Disambiguation in Large-Scale Scientific Literature. ICDM Workshops 2019: 1037-1044 Jun Gao, Jianliang Gao: A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. IJCAI 2019: 6430-6431 Fan Xiong, Jianliang Gao: Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. IJCAI 2019: 6480-6481 Jianliang Gao, Noureddin Sadawi, Ibrahim Karaman, Jake T. M. Pearce, Pablo Moreno, Anders Larsson, Marco Capuccini, Paul Elliott, Jeremy K. Nicholson, Timothy M. D. Ebbels, Robert C. Glen: Metabolomics in the Cloud: Scaling Computational Tools to Big Data. CoRR abs/1904.02288 (2019) 2018 Ting Li, Neal N. Xiong, Jianliang Gao, Houbing Song, Anfeng Liu, Zhiping Cai: Reliable Code Disseminations Through Opportunistic Communication in Vehicular Wireless Networks. IEEE Access 6: 55509-55527 (2018) Jianliang Gao, Bo Song, Xiaohua Hu, Fengxia Yan, Jianxin Wang: ConnectedAlign: a PPI network alignment method for identifying conserved protein complexes across multiple species. BMC Bioinform. 19-S(9): 129-135 (2018) Ping Zhong, Yiwen Zhang, Shuaihua Ma, Xiaoyan Kui, Jianliang Gao: RCSS: A Real-Time On-Demand Charging Scheduling Scheme for Wireless Rechargeable Sensor Networks. Sensors 18(5): 1601 (2018) Lixia Zhang, Jianliang Gao: Incremental Graph Pattern Matching Algorithm for Big Graph Data. Sci. Program. 2018: 6749561:1-6749561:8 (2018) Jianliang Gao, Jianxin Wang, Ping Zhong, Haodong Wang: On Threshold-Free Error Detection for Industrial Wireless Sensor Networks. IEEE Trans. Ind. Informatics 14(5): 2199-2209 (2018) Jianliang Gao, Qing Ping, Jianxin Wang: Resisting re-identification mining on social graph data. World Wide Web 21(6): 1759-1771 (2018) Bo Song, Jianliang Gao, Hongliang Du, Zheng Chen, Xiaohua Hu: Aligning Multiple PPI Networks with Representation Learning on Networks. BIBM 2018: 136-141 Wei Quan, Zheng Chen, Jianliang Gao, Xiaohua Tony Hu: Comparative Study of CNN and LSTM based Attention Neural Networks for Aspect-Level Opinion Mining. BigData 2018: 2141-2150 Jianliang Gao, Chuqi Lei, Ling Tian, Yuan Ling, Zheng Chen, Bo Song: Distributed Top-k Subgraph Matching in A Big Graph. BigData 2018: 5325-5327 Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Zubair Toor, Ola Spjuth: KubeNow: an On-Demand Cloud-Agnostic Platform for Microservices-Based Research Environments. CoRR abs/1805.06180 (2018) Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan: Fast Botnet Detection From Streaming Logs Using Online Lanczos Method. CoRR abs/1812.07810 (2018) 2017 Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang, Erjia Yan: Fast botnet detection from streaming logs using online lanczos method. BigData 2017: 1408-1417 Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang: Community-Based Network Alignment for Large Attributed Network. CIKM 2017: 587-596 Ping Zhong, Yiwen Zhang, Jianliang Gao, Yiming Zhang, Jize Yan: Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death. ISPA/IUCC 2017: 801-806 Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu: Counter Deanonymization Query: H-index Based k-Anonymization Privacy Protection for Social Networks. SIGIR 2017: 809-812 Ping Zhong, Yiwen Zhang, Shuaihua Ma, Jianliang Gao, Yingwen Chen: An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks. WASA 2017: 244-252 Jia Hu, Victor C. M. Leung, Kun Yang, Yan Zhang, Jianliang Gao, Shusen Yang: Smart Grid Inspired Future Technologies - First International Conference, SmartGIFT 2016, Liverpool, UK, May 19-20, 2016, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 175, 2017, ISBN 978-3-319-47728-2 [contents] 2016 Jianliang Gao, Ping Liu, Xuedan Kang, Lixia Zhang, Jianxin Wang: PRS: Parallel Relaxation Simulation for Massive Graphs. Comput. J. 59(6): 848-860 (2016) Renning Xie, Anfeng Liu, Jianliang Gao: A Residual Energy Aware Schedule Scheme for WSNs Employing Adjustable Awake/Sleep Duty Cycle. Wirel. Pers. Commun. 90(4): 1859-1887 (2016) Bo Song, Jianliang Gao, Weimao Ke, Xiaohua Hu: Achieving high k-coverage and k-consistency in global alignment of multiple PPI networks. BIBM 2016: 303-307 Jianliang Gao, Bo Song, Ping Liu, Weimao Ke, Jianxin Wang, Xiaohua Hu: Parallel top-k subgraph query in massive graphs: Computing from the perspective of single vertex. BigData 2016: 636-645 2014 Ming Yang, Jianliang Gao: Numerical simulation on the influence of gob permeability on distribution of air leakage flow field. Int. J. Comput. Sci. Eng. 9(1/2): 147-152 (2014) Lixia Zhang, Weiping Wang, Jianliang Gao, Jianxin Wang: Lossy links diagnosis for wireless sensor networks by utilising the existing traffic information. Int. J. Embed. Syst. 6(2/3): 140-147 (2014) Xingpo Ma, Hong Song, Jianxin Wang, Jianliang Gao, Geyong Min: A Novel Verification Scheme for Fine-Grained Top-k Queries in Two-Tiered Sensor Networks. Wirel. Pers. Commun. 75(3): 1809-1826 (2014) 2013 Jianliang Gao, Jia Hu, Geyong Min, Li Xu: Analysis of the MAC protocol in low rate wireless personal area networks with bursty ON-OFF traffic. Concurr. Comput. Pract. Exp. 25(1): 85-93 (2013) Jianliang Gao, Jianxin Wang, Jianbiao He, Weiping Wang: QSA: Query Splitting-Based Anticollision for Mobile RFID-Based Internet-of-Things. Int. J. Distributed Sens. Networks 9 (2013) Jianliang Gao, Jianxin Wang, Weiping Wang: Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks. HPCC/EUC 2013: 979-984 2012 Xingpo Ma, Jianliang Gao, Weiping Wang, Jianxin Wang: A Virtual-Ring-Based Data Storage and Retrieval Scheme in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) Jianliang Gao, Jianxin Wang, Yinhe Han, Lei Zhang, Xiaowei Li: A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems. DATE 2012: 27-32 Jianliang Gao, Jianxin Wang, Xi Zhang: HMRF-based distributed fault detection for wireless sensor networks. GLOBECOM 2012: 640-644 2011 Jianliang Gao, Yinhe Han, Xiaowei Li: Eliminating data invalidation in debugging multiple-clock chips. DATE 2011: 691-696 2010 Jianliang Gao, Jia Hu, Geyong Min, Li Xu: QoS analysis of medium access control in LR-WPANs under bursty error channels. Future Gener. Comput. Syst. 26(8): 1426-1432 (2010) Jianliang Gao, Yinhe Han, Xiaowei Li: A Novel Post-Silicon Debug Mechanism Based on Suspect Window. IEICE Trans. Inf. Syst. 93-D(5): 1175-1185 (2010) [–] 2000 – 2009 2009 Jianliang Gao, Jia Hu, Geyong Min: Performance Modelling of IEEE 802.15.4 MAC in LR-WPAN with Bursty ON-OFF Traffic. CIT (2) 2009: 58-62 Jianliang Gao, Jia Hu, Geyong Min, Li Xu: QoS Performance Analysis of IEEE 802.15.4 MAC in LR-WPAN with Bursty Error Channels. MSN 2009: 252-256 Jianliang Gao, Yinhe Han, Xiaowei Li: A New Post-Silicon Debug Approach Based on Suspect Window. VTS 2009: 85-90 2007 Daqi Gao, Wei Wang, Jianliang Gao: Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. IJCNN 2007: 2153-2158 2006 Zhiwei Lin, Li Xu, Dajin Wang, Jianliang Gao: A Coloring Based Backbone Construction Algorithm in Wireless Ad Hoc Network. GPC 2006: 509-516

学术兼职

[1]   IEEE Conference on Big Data 大会主席

推荐链接
down
wechat
bug