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杨天若,现任郑州大学学术副校长,计算机与人工智能学院、软件学院院长,首席教授;加拿大工程院院士,加拿大工程研究院院士,欧洲科学院院士,IEEE/IET/AAIA会士,国家海外高层次人才入选者,世界顶尖1000名计算机和电子工程科学家,斯坦福全球前2%顶尖科学家,科睿唯安全球高被引科学家,ACM杰出科学家。
教育经历:
(1) 2001-09 至 2006-10, 加拿大维多利亚大学, 计算机科学, 博士
(2) 1987-09 至 1992-07, 清华大学, 计算机科学与技术 & 应用物理, 学士
工作经历:
(1) 2024-01 至 今, 郑州大学, 计算机与人工智能学院、软件学院, 首席教授
(2) 2010-07 至 今, 华中科技大学, 计算机科学与技术学院, 特聘教授
(3) 2021-01 至 2023-12, 海南大学, 计算机科学与技术学院, 讲席教授
(4) 1999-09 至 2020-12, 加拿大圣西维尔大学, 计算机系, 讲席教授
近五年主持或参加的国家自然科学基金项目/课题:
(1) 国家自然科学基金委员会, 联合基金重点项目, 基于张量的智慧自贸港港口贸易区块链平台与 关键技术研究, 在研, 主持
(2) 国家自然科学基金委员会, 重点项目, 安全关键汽车信息物理系统建模理论与系统设计, 在研, 参与
近五年主持或参加的其他科研项目/课题(国家自然科学基金项目除外):
(1) 海南省科学技术厅, 海南省重大科技计划项目, 国际贸易场景下区块链的监管和金融创新应用, 在研,主持
(2) 中华人民共和国科学技术部,科技创新 2030-“新一代人工智能 ”重大项目, 人工智能基础模型关键技术研究, 在研, 主持
(3) 中华人民共和国科学技术部, 国家重点研发计划课题, 云数据中心威胁预警与精准防御关键技术及系统, 结题, 主持
(4) 中央网信办, 国家特色领域重大项目, 国家区块链创新应用“区块链+贸易金融” 特色领域试点, 在研, 主持
代表性论著:
(1) Jun Feng; Laurence T. Yang; Bocheng Ren; Deqing Zou; Mianxiong Dong; Shunli Zhang; Tensor Recurrent Neural Network with Differential Privacy, IEEE Transactions on Computers (CCF A), 2023, DOI: 10.1109/TC.2023. 3236868.
(2) Jinhua Cui; Weiguang Liu; Jianhang Huang; Laurence T. Yang; ADS: Leveraging Approximate Data for Efficient Data Sanitization in SSDs, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (CCF A), 2022, 41(6): 1771-1784.
(3) Feng Zhao; Shao Feng Li; Bing B.Zhou; Hai Jin; Laurence T. Yang; HCache: A Hash-based Hybrid Caching Model for Real-Time Streaming Data Analytics, IEEE Transactions on Services Computing (CCF A), 2021, 14(5): 1384-1396.
(4) Jun Feng; Laurence T. Yang; Qing Zhu; Kim-Kwang Raymond Choo; Privacy-Preserving Tensor Decomposition Over Encrypted Data in a Federated Cloud Environment, IEEE Transactions on Dependable and Secure Computing (CCF A), 2020, 17(4): 857-868.
(5) Liwei Kuang; Laurence T. Yang; Qing Zhu; Jinjun Chen; Secure Tensor Decomposition for Big Data Using Transparent Computing Paradigm, IEEE Transactions on Computers (CCF A), 2019, 68(4): 585-596.
(6) Xiaokang Zhou; Xuesong Xu; Wei Liang; Zhi Zeng; Shohei Shimizu; Laurence T. Yang; Qun Jin; Intelligent Small Object Detection for DigitalTwin in Smart Manufacturing With Industrial Cyber-Physical Systems, IEEE Transactions on Industrial Informatics (IEEE TCII Best Journal Paper Award 2023), 2022, 18(2): 1377-1386.
(7) Xiaokang Zhou; Wei Liang; Kevin I-Kai Wang; Laurence T. Yang ; Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations, IEEE Transactions on Computational Social Systems (Andrew P. Sage Best IEEE Transactions Paper Award 2022), 2021, 8(1): 171-178
(8) Xiaokang Wang; Laurence T. Yang; Xingyu Chen; M.Jamal Deen; Jirong Jin; Improved Multi- Order Distributed HOSVD with its Incremental Computing for Smart City Services, IEEE Transactions on Sustainable Computing (ESI Highly Cited Paper, top 1% citation, IEEE TSUSC Best Paper Award 2021), 2021, 6(3): 456-468.
(9) Qingchen Zhang; Laurence T. Yang; Zhikui Chen; Peng Li; Fanyu Bu; An Adaptive Dropout Deep Computation Model for Industrial IoT Big Data Learning with Crowdsourcing to Cloud Computing, IEEE Transactions on Industrial Informatics (ESI Highly Cited Paper, top 1% citation), 2019, 15(4): 2330-2337.
(10) Qingchen Zhang; Laurence T. Yang; Zhikui Chen; Peng Li; An Improved Deep Computation Model Based on Canonical Polyadic Decomposition, IEEE Transactions on Systems, Man, and Cybernetics: Systems (ESI Highly Cited Paper, top 1% citation), 2018, 48(10): 1657-1666.
(11) Peng Li; Zhikui Chen; Laurence T. Yang; Qingchen Zhang; M. Jamal Deen; Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things, IEEE Transactions on Industrial Informatics (ESI Highly Cited Paper, top 1% citation), 2018, 14(2): 790-798.
(12) Huazhong Liu; Baoshun Liu; Laurence T. Yang; Man Lin; Yuhui Deng; Kashif Bilal; Samee U. Khan; Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers, IEEE Transactions on Big Data (IEEE ComSoc TCBD Best Journal Paper Award 2019), 2018, 4(2): 177-190.
(13) Qingchen Zhang; Chunsheng Zhu; Laurence T. Yang; Zhikui Chen; Liang Zhao; Peng Li; An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things, IEEE Transactions on Industrial Informatics (IEEE TCCPS Most Influential Paper Award 2017, ESI Highly Cited Paper), 2017, 13(3): 1193-1201.
(14) Qingchen Zhang; Laurence T. Yang; Zhikui Chen; Deep Computation Model for Unsupervised Feature Learning on Big Data, IEEE Transactions on Services Computing (CCF A, IEEE SCSTC Most Influential Paper Award 2019), 2016, 9(1): 161-171.
(15) Qingchen Zhang; Laurence T. Yang; Zhikui Chen; Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning, IEEE Transactions on Computers (CCF A, ESI Highly Cited Paper, top 1% citation), 2016, 65(5): 1351-1362.
代表性学术奖励:
(1) 加拿大工程院院士, 加拿大国家工程院, 2017
(2) 加拿大工程研究院院士, 加拿大工程研究院, 2019
(3) 欧洲科学院院士, 欧洲科学院, 2021
(4) IEEE Fellow, IEEE, 2020
(5) IEEE Canada C.C. Gotlieb计算机成就奖, IEEE Canada, 2020
(6) IEEE Sensor Council技术成就奖, IEEE, 2020
(7) John B. Stirling Medal奖章, 加拿大工程研究院, 2021
(8) IEEE TEMS 技术成就奖, IEEE, 2022
(9) 全球高被引科学家, 科睿唯安, 2023/2022/2020/2019
(10) 全球前2%顶尖科学家,斯坦福大学,2023/2022/2021/2020/2019
联系方式:
LTYANG@zzu.edu.cn