硕士生导师

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夏立坤


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夏立坤博士

永利官网,yl9193永利,副教授

地址:北京市海淀区西三环北路56号,100048

联系方式:xlk@cnu.edu.cn


个人简介

夏立坤,副教授,硕士生导师。2009年2月毕业于英国赫尔大学工程学院,获得电子工程专业博士学位。2018年3月加入yl9193永利。具有十多年海外学习和科研工作经验。研究领域主要涉及脑科学、人工智能、工业自动化检测等。主持省部级以上基金项目5项,包括:国家自然科学基金面上项目1项、北京自然科学基金面上项目1项;参与多项国家级和省部级研究项目。目前以第一/通讯作者发表了学术论文50余篇,包括SCI论文20余篇。夏博士致力于医工结合,同时也与公司企业有着紧密合作关系,包括,中国人民解放军总医院、首都医科大学附属安定医院,马来西亚国家石油公司(PETRONAS)、英特尔公司(INTEL)、马来西亚道路安全部(MIROS)等。


研究领域和方向

脑科学,主要涉及:脑疾病的自动早期诊断、心理压力的自适应调节等

医学图像处理,主要涉及:脑血管自动分割建模、虚拟环境下的手术训练系统等

人工智能,主要涉及:小样本条件下模型构建和优化方法研究、可解释模型构建方法研究等

工业自动化检测,主要涉及:模拟电路和混合电路中的自动错误检测,behavior modeling等


工作经历

2018.03-至今     永利官网,yl9193永利,副教授

2016.10-2018.03   中国电科集团公司电科院,战略预警研究所,高级工程师

2014.12-2016.10   北京理工大学,光电学院,博士后研究员

2010.04-2014.04   Universiti Teknologi PETRONAS (UTP),Department of Electrical and Electronic Engineering,Senior lecturer


主持或参加的科研项目(省部级)

1.主持科研项目 (PI)

1) 北京自然科学基金-面上项目(Ref: 4202011), 北京自然科学基金, 基于多视图学习的心理压力评估模型构建方法研究, Jan. 01, 2020 – Dec. 31, 2022 (36 months).(在研)

2) 国家自然科学基金-面上项目(Ref: 61572076), 国家自然科学基金 (NSFC), 脑血管虚拟介入手术的关键科学问题研究, Jan. 01, 2016 – Dec. 31, 2019 (48 months).(已结题)

3) 中国博士后科学基金-面上资助(Ref: 2015M570940), 二等, 中国博士后科学基金会, 多分支预测与区域归并优化的脑血管分割方法研究, May 14, 2015 – Sep. 30, 2016 (16 months).(已结题)

4) FRGS (Ref: FRGS/1/2012/TK02/UTP/03/03), Ministry Of High Education (MOHE), Malaysia, Neural Circuit Modeling for Pathophysiology of Major Depressive Disorder (MDD), Apr. 5, 2012 – Apr. 4, 2015 (36 months).(已结题)

5) eScience Fund (Ref: 03-02-02-SF0151), Ministry of Science, Technology and Innovation (MOSTI), Malaysia, A Novel Algorithm For Alerting Motorcycles Approaching To Avoid Traffic Accidents In Malaysia, Apr. 1, 2012 – Mar. 31, 2014 (24 months).(已结题)

6) FRGS (Ref: FRGS 2/2010/TK/UTP/03/8), Ministry Of High Education (MOHE), Malaysia, A Novel Self-Tuning Algorithm for Nonlinear Behavioural Model, Aug. 13, 2010 – Aug. 12, 2012 (24 months).(已结题)

7) YUTP (Ref: YUTP-FRG/1/2012/EOR/039), PETRONAS Sdn Bhd, Development of A Novel Accelerometer Applied in Passive Seismic for Enhanced Oil Recovery, Jul. 27, 2012 – Jul. 26, 2014 (24 months).(已结题)


2.参与科研项目(Co-PI)

1) 军委科技委预研项目 (Ref: 17-XXX-18-XJ-001-XXX-01),军委科技委, XX条件下XX目标识别技术, Jun, 2017 – May, 2018 (12 months).(已结题)

2) eScience Fund (Ref: 01-02-02-SF0185), Ministry of Science, Technology and Innovation (MOSTI), Malaysia, Statistical Noise Modeling for Reliable Nano-Circuits and Systems (nanoCAS), Nov, 1, 2012 – Nov. 1, 2014 (24 months).(已结题)


教学改革及社会服务项目

1.永利官网2021年本科教学建设与改革项目(班主任业务研究与改革),针对首师大老员工心理压力评估方法研究,2021-2022,主持。


教学课程

研究生课程

2022春季《机器学习》

本科生课程

2022春季《机器学习基础》

2021春季《机器学习基础》

2019秋季、2020秋季 《计算机基础》

2010-2014 《微处理器》 (Microprocessor)、《模拟电路》 (Analogue Electronics I)、《数字电子I和II》 (Digital Electronics I, II)、《电路理论》(Circuit Theory)


主要学术论文/专利

1.期刊论文

1) Likun Xia, Hao Zhang†, Yufei Wu, Ran Song, Yuhui Ma, Lei Mou, Jiang Liu, Yixuan Xie, Ming Ma, Yitian Zhao*, 3D Vessel-like Structure Segmentation in Medical Images by Edge-Reinforced Network, Medical Image Analysis (MIA), 1-18, 2022. https://doi.org/10.1016/j.media.2022.102581 (IF: 13.828) (中科院分区:1区,Top) (CCF C)

2) Likun Xia*†, Yuan Feng†, Ziheng Guo†, Jinhong Ding, Yanlei Li, Yifan Li, Ming Ma, Guoxi Gan, Yehan Xu, Jingyu Luo, Zhiping Shi, Yong Guan, MuLHiTA: A Novel Multiclass Classification Framework with Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 1-14, 2022. https://doi.org/10.1109/TNNLS.2022.3159573 (IF: 14.255) (中科院分区:1区,Top) (CCF B)

3) Da Zhang, Ming Ma, Likun Xia*†, A Comprehensive Review on GANs for Time-series Signals, Neural Computing & Applications, 1-21, Jan. 28, 2022. https://doi.org/10.1007/s00521-022-06888-0 (SCI) (中科院分区:2区)(CCF C)

4) Likun Xia*, Yixuan Xie†, Qiwang Wang, Hao Zhang, Cheng He, Xiaonan Yang, Jinghui Lin, Ran Song, Jiang Liu, Yitian Zhao∗, A Nested Parallel Multiscale Convolution for Cerebrovascular Segmentation, Medical Physics, 48, 7971-7983, Sep. 26, 2021. https://doi.org/10.1002/mp.15280 (SCI)

5) Likun Xia, Jian Yang, Tao Han, Huiming Xu, Qi Yang, Yitian Zhao and Yongtian Wang, A Mobilized Automatic Human Body Measure System using Neural-Network, Multimedia Tools and Applications, 78(9), 11291-11311, May, 2019. https://doi.org/10.1007/s11042-018-6645-6 (SCI)

6) Likun Xia*, Aamir Saeed Malik, Ahmad Rauf Subhani, A Physiological Signal-Based Method for Early Mental-Stress Detection, Biomedical Signal Processing and Control, 46, 18-32, Jul. 09, 2018. DOI:  https://doi.org/10.1016/j.bspc.2018.06.004 (SCI)

7) Amir Mukhtar, Likun Xia†, Tong Boon Tang, Vehicle Detection Techniques for Collision Avoidance Systems: A Review, IEEE Transactions on Intelligent Transportation Systems (TITS), 16(5), 2318-2338, Mar 24, 2015. DOI: 10.1109/TITS.2015.2409109 (IF: 9.551) (中科院分区:1区,Top) (CCF B)

8) Likun Xia*, Muhammad Umer Farooq, Ian M. Bell, High Level Fault Modeling of Analog Circuits Through Automated Model Generation Using Chebyshev And Newton Interpolating Polynomials, Analog Integrated Circuits and Signal Processing (ALOG), 82(1), 265-283, Springer, Jan. 09, 2015. DOI: 10.1007/s10470-014-0431-9 (SCI)

9) Likun Xia*, Muhammad Umer Farooq, Ian M. Bell, Aamir Saeed Malik, Fawnizu Azmadi B. Hussin, Survey and Evaluation of Automated Model Generation Techniques for High Level Modeling and High Level Fault Modeling, Journal of Electronic Testing: Theory and Applications (JETTA), Springer, 29(6), 861-877, Aug. 24, 2013. DOI 10.1007/s10836-013-5401-0 (SCI) (CCF C)

10) Likun Xia*, Ian M. Bell, Antony J. Wilkinson, Automated Model Generation Algorithm for High-Level Fault Modeling, IEEE Transactions on Computer-Aided Design (TCAD) of Integrated Circuits and Systems, 29(7), 1140-1145, Jul. 01, 2010. DOI: 10.1109/TCAD.2010.2045556 (SCI) (CCF A)


2.会议论文 (中国计算机学会CCF-A类国际顶级会议: DAC; C类国际会议: ICONIP, ASP-DAC, ISCAS)

1) Te Guo, Lufan Zhang†, Rui Ding, Da Zhang, Jinhong Ding, Ming Ma and Likun Xia*, Constrained Generative Model for EEG Signals Generation, 28th International Conference on Neural Information Processing (ICONIP), Bali, Indonesia, December 8-12, 2021, 13110, 596–607. (CCF C)

2) Hao Zhang, Likun Xia*, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu, Yitian Zhao*, Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network, 23rd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), Oct. 4-8, 2020, Lima, Peru, 66-75. (Oral). (领域顶会)

3) Likun Xia*, Chung Duc Tran, Khairil Anwar Abu Kassim, An Automobile Detection Algorithm Development for Automated Emergency Braking System, 51st Design Automation Conference (DAC), San Francisco, June 1-5, 2014. (CCF-A)

4) Pham Lam Vuong, Likun Xia*, Aamir Saeed Malik, Rusdi Bin Abd Rashid, Biomarker Development on Alcohol Addiction using EEG, 20th International Conference on Neural Information Processing (ICONIP), Daegu, Korea, Nov 03-07, 2013, 199-206. (CCF-C)

5) Muhammad Umer Farooq, Likun Xia*, Local Approximation Improvement of Trajectory Piecewise Linear Macromodels through Chebyshev Interpolating Polynomials, 18th Asia and South Pacific Design Automation Conference (ASP-DAC), Yokohama, Japan, Jan. 22-25, 2013, 767-772. (CCF-C)

6) Wajid Mumtaz, Likun Xia* and Aamir Saeed Malik, Complexity Analysis of EEG Data during Rest State and Visual Stimulus, 19th International Conference on Neural Information Processing (ICONIP), Doha, Qatar, Nov. 12-15, 2012, part 1, 84-91. (CCF-C)

7) Likun Xia*, Ian M. Bell and Antony J. Wilkinson, A Novel Approach for Automated Model Generation, International Symposium on Circuits And Systems (ISCAS), Seattle, USA, May 18-21, 2008, 504-507. (CCF-C)


3 北大核心期刊/中文核心期刊

1) 张达,郭特,丁瑞,丁锦红,周文洁,李一凡,张璐矾,张雨柔,夏立坤*,具有多层次优化能力的EEG生成模型,计算机系统应用,31(8),369-379, 2022。https://doi.org/10.15888/j.cnki.csa.008658(中文核心期刊)

2) 张浩,解艺旋†,杨晓楠†,岳晨阳,马明,夏立坤*,融合迭代自组织数据分析的肺结节自动检测算法,计算机与数字工程,1-10, 2021。<接受>(中文核心期刊)      

3) 冯源,李彦蕾,李一凡,张博,丁锦红,夏立坤*,基于注意力机制的多分支LSTM心理负荷评估模型,计算机应用研究,38(11),3371-3375,Nov., 2021。https://doi.org/10.19734/j.issn.1001-3695.2021.04.0142(北大核心期刊


4 专利

1. 夏立坤,张浩,一种三维脑血管分割方法及存储介质,发明专利(专利号:ZL 2021 1 0360853.6),授权公告日:2022年7月19日,国家知识产权局,中国。


所获奖励

1. 2022年4月7日, 2021年度永利官网实验室开放基金(基于WaveGAN的脑电信号生成),一等奖

2. 2021年12月9日2021年永利官网校级教学成果奖(高等教育)(构建“科-教-赛”协同的员工创新实践能力培养模式),一等奖(第5完成人),永利官网

3. 2021年7月,军训工作先进个人,永利官网

4. 2020年, 永利官网优秀毕业论文(设计)指导教师

5. 2019年, 永利官网信工学院年度考核优秀人员

6. 2013年5月09-11日, Silver medal, 24th International Invention Innovation & Technology Exhibition (ITEX), 2013, KL, Malaysia

7. 2008年3月18日, Award of International Traveling Grant, Royal Academy of Engineering (RAENG), UK

8. 2011年11月25-27日, Excellent Paper Award, 2011 IEEE International Conference on Behavioral, Cognitive and Psychological Sciences (BCPS)


学术服务和专业会员

1. IEEE Senior Membership.

2. 2020年12月11日,Keynote speaker: Brain-related Research using DNN, The International Conference on Cyber-Living, Cyber-Syndrome and Cyber-Health 2020 (CyberLife 2020) - The 6th China-Europe Innovation Forum/Panel on Smart Healthy and Privacy Protection (SmartHealth 2020)。

3. 担任国际会议分会主席:International Conference on Cyber-living, Cyber-Syndrome and Cyber-Health 2019 (CyberLife 2019), Track 7: Brain-Machine Integration and Neural Information Processing.

4. 担任多个SCI 期刊审稿人,包括 Biomedical Signal Processing and Control (BSPC), Journal of Electronic Testing: Theory and Applications (JETTA)等.