 |
陈俊龙
华南理工大学计算机学院讲座教授,欧洲科学院院士,国家特聘专家
手机:
 微信:19821197419(助理)
邮箱:
 驻地:
|
详细介绍
陈俊龙
华南理工大学计算机学院讲座教授,欧洲科学院院士,国家特聘专家
个人履历:
陈俊龙:人工智能专家,欧洲科学院院士、欧洲科学与艺术院院士,华南理工大学计算机学院院长、讲座教授、博士生导师,国家特聘专家,教育部健康智能与数字平行人工程中心主任、 广东省计算智能与网络空间信息重点实验室主任、广东省人工智能产业协会联席会长、琶洲实验室副主任,中国自动化学会副理事长,IEEE Fellow、AAAS Fellow、IAPR Fellow、 中国自动化会士、中国人工智能学会士、香港工程师学会士 。曾任IEEE Trans. on Cybernetics (2020-2021),及IEEE Trans. on Systems, Man, and Cybernetics: Systems (2014-2019)两个顶级SCI期刊主编。曾任澳门大学科技学院讲席教授、科技学院院长,美国德州大学工学院终身教授、工学院副院长及电机计算机系主任。陈俊龙研究方向主要为智能系统与控制、计算智能、混合智能、无人系统、数据科学,在该领域取得一系列学术创新性成果。首次提出的宽度学习系统(BLS),突破了深度神经网络计算资源消耗严重、扩展难的瓶颈;原创的动态结构叠层宽度神经网络,克服了传统深度学习的计算量大、硬件需求高及模型设计复杂等不足,对于机器学习领域具有颠覆性的意义。相关研究成果逐步在智慧司法、智慧健康与医疗、边缘计算等行业内推广应用。 在国际重要学术刊物上发表论文600余篇,其中IEEE Transactions 300余篇,多次获得最佳论文奖项,谷歌学术引用35000余次, Web of Science他人引用20000余次,并于2018、2019、2020、2021连续四年入选科瑞唯安(Clarivate)全球高被引科学家。 2018年获得了IEEE系统科学控制论的最高学术维纳奖(Norbert Wiener Award),获 2021 IEEE Joseph Wohl 终身成就奖,及我国人工智能学会吴文俊人工智能杰出贡献奖。
科研项目:
1.“珠江人才计划”引进创新创业团队,2019ZT08X214,计算脑科学与情感智能团队,2020/12-2025/12,1000万;
2.国家重点研发计划,2019YFB1703600,柔性系统非确定性制造大数据理论与方法研究,2019/12-2022/11,452万元;
3.广州市科技计划项目,202007030006,类脑感知与认知基础理论算法与应用研究,1000万元,2020/04- 2023/03;
4.动态环境中的新型人体动作识别理论与方法研究,NSFC, 国家基金委重点项目, 300万,Jan 2019 - Dec 2022;
5.开放环境中不确定条件下的新型智能感知与行为理解方法研究,NSFC重点基金 220万,Jan 2018 - Dec 2020;
6.Design of Discriminative Fuzzy Restricted Boltzmann Machines and their Applications,Macau Science and Technology Development Fund (FDCT), , MOP 1,610,000, Jan 2018 - Dec 2020;
7.Research on automatic multi-currency banknotes conversion technology and equ development,Macau Science and Technology Development Fund (FDCT/MOST, FDCT/科技部联合项目) 2017 - 2019;
8.新型进化计算与深度学习方法在疾病预防与控制,NSFC面上基金 Jan 2016 - Dec 2019;
9.New Deep Learning Techniques for Pattern Learning and Recognition,Macau Science and Technology Development Fund (FDCT) MOP 2,062,800, Jan 2016 - Dec 2018;
10.Exoskeleton Robotics – Wearable Devices and Biosignal acquisition and analysis systems,Macau Science and Technology Development Fund (FDCT), MOP 1,718,650, Jan 2016-Dec 2016。
论文代表:
Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-BasedApproach, IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 5, Pages: 1252-1263, Published: OCT 2017.
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems, IEEE Transactions On Cybernetics, Volume: 47, Issue: 8, Special Issue: SI Pages: 2151-2160, Published: AUG 2017.
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems, IEEE Transactions On Neural Networks And Learning Systems, Volume: 28,Issue: 7, Pages: 1531-1541, Published: JUL 2017.
Asymptotic Fuzzy Tracking Control for a Class of Stochastic Strict-Feedback Systems, IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 3, Pages: 556-568, Published: JUN 2017.
Weighted Joint Sparse Representation for Removing Mixed Noise in Image, IEEE Transactions On Cybernetics, Volume: 47, Issue: 3, Pages: 600-611, Published: MAR 2017.
“Medical Image Encryption Using Edge Maps,” Signal Processing, Volume: 132, Pages: 96-109, Published: MAR 2017.
Asymmetric Actuator Backlash Compensation in Quantized Adaptive Control of Uncertain Networked Nonlinear Systems, IEEE Transactions On Neural Networks And Learning Systems, Volume: 28, Issue: 2, Pages: 294-307, Published: FEB 2017.
Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone,IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 1, Pages: 191-204, Published: FEB 2017.
A Cooperative Learning-Based Clustering Approach To Lip Segmentation Without Knowing Segment Number, IEEE Transactions On Neural Networks And Learning Systems, Volume: 28, Issue: 1, Pages: 80-93, Published: Jan, 2017.
I-Ching Divination Evolutionary Algorithm and its Convergence Analysis, IEEE Transactions On Cybernetics, Volume: 47, Issue: 1, Pages: 2-13, Published: Jan 2017.
Multifocus Image Fusion Using Superpixel Segmentation And Superpixel-Based Mean Filtering,” Applied Optics, Volume: 55, Issue: 36, Pages: 10352-10362, Published: Dec 20, 2016.
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights,IEEE Transactions on Neural Networks and Learning Systems, Volume: 27, Issue: 12, Pages: 2683-2695, Published: Dec, 2016.
Adaptive Quantized Fuzzy Control of Stochastic Nonlinear Systems With Actuator Dead-Zone,Information Sciences, Volume: 370, Pages: 385-401, Published: Nov 20, 2016.
Saturated Nussbaum Function Based Approach for Robotic Systems with Unknown Actuator Dynamics, IEEE Transactions on Cybernetics, Volume: 46, Issue: 10, Pages: 2311-2322, Published: Oct, 2016.
Adaptive Asymptotic Tracking Control Of Uncertain Nonlinear System With Input Quantization, Systems & Control Letters, Volume: 96, Pages: 23-29, Published: OCT, 2016.
Formation Control of Leader-Follower Mobile Robots' Systems Using Model Predictive Control Based on Neural-Dynamic Optimization, IEEE Transactions on Industrial Electronics, Volume: 63, Issue: 9, Pages: 5752-5762, Published: SEP, 2016.
Prediction Intervals for Landslide Displacement Based on Switched Neural Networks, IEEE Transactions on Reliability, Volume: 65, Issue: 3, Pages: 1483-1495, Published: Sep, 2016.
Fuzzy Observed-Based Adaptive Consensus Tracking Control for Second-Order Multiagent Systems with Heterogeneous Nonlinear Dynamics, IEEE Transactions on Fuzzy Systems, Volume: 24, Issue: 4, Pages: 906-915, Published: Aug, 2016.
Adaptive Fuzzy Tracking Control of Nonlinear Systems With Asymmetric Actuator Backlash Based on a New Smooth Inverse, IEEE Transactions on Cybernetics, Volume: 46, Issue: 6, pp. 1250-1262, Jun, 2016.
Fuzzy Adaptive Quantized Control for a Class of Stochastic Nonlinear Uncertain Systems, IEEE Trans. on Cybernetics, Vol. 46, Issue 2, Special Issue: SI, pp. 524-534, FEB 2016.
著作代表:
《机器学习——数据表示学习及应用》,作者:张春阳、陈俊龙,清华大学出版社2025年01月出版;
《口袋里的人工智能:智慧城轨》,作者:陈俊龙,广东科技出版社2023年07月出版;
《智能驾驶》,总编:陈俊龙、郭继舜主编,广东科技出版社2023年03月出版;
《机器视觉》,陈俊龙总编、谭明奎主编,广东科技出版社2023年03月出版。
演讲主题:
《新型人工智能筑基未来产业发展》
《数字经济、人工智能技术与产业创新发展》
邀请老师演讲、授课请致电:19821197419 阎老师[微信同号]
免责声明:以上内容(包括文字、图片、视频)为用户上传并发布,本平台仅提供信息存储服务。如涉及版权问题,请联系我们并提供版权证明,我们将立即删除!