国际影响力
1.美国医学与生物工程院Fellow
2.俄罗斯工程院外籍院士
3.乌克兰国家工程院外籍院士
4.欧洲科学与艺术院院士
5.英国皇家公共卫生学院院士
6.英国工程技术学会会士
7.亚太人工智能学会会士
8.亚洲计算智能学会会士
9.国际人工智能产业联盟会士
10.日本学术振兴会会士
11.入选全球前2%顶尖科学家榜单(World’s Top 2% Scientists 2020)，同期入选的深圳高校生物信息学者仅有4位
12.入选世界1000名顶尖科学家榜单，他是我国唯一一位入选的生物信息学领域专家
13.中国科学院深圳先进技术研究院院刊《集成技术》主编
14.《Big Data Mining and Analytics》（清华大学与IEEE共同发行，中国Top 5%杂志）主编
15.中国顶尖计算机类英文杂志《Journal of Computer Science and Technology (JCST)》副总主编
16.中国顶尖电子类英文杂志《Chinese Journal of Electronics》副总主编
17.曾任国际顶尖生物信息杂志《IEEE/ACM Transactions on Computational Biology and Bioinformatics》副总主编、John-Wiley《生物信息学系列丛书》与John-Wiley《无线网络和移动计算系列丛书》的创办人兼主编和七种IEEE Transactions期刊副编辑
所获荣誉
1.2023年12月，中国发明协会，发明创业奖项目奖银奖
2.2023年12月，中国发明协会，发明创业奖项目奖铜奖
3.2023年12月，中国旅美科协，科技先锋奖
4.2023年12月，深圳市科学技术协会，优秀科技学术论文奖
5.2022年12月，深圳市科学技术协会，优秀科技学术论文奖
6.2021年11月，2021 IEEE智慧城市大会，2021 IEEE Smart World Congress Outstanding Achievement Award
7.2020年11月，IEEE Atlanta Section，IEEE Atlanta Section Outstanding Engineer Award
8.2019年7月，2019 IEEE Cybermatics Congress，IEEE Best Paper Award, 2019 IEEE Cybermatics Congress
9.2019年7月，2019 IEEE Cybermatics Congress，IEEE Outstanding Leadership Award
10.2007年10月，IEEE Bioinformatics and Bioengineering，IEEE Bioinformatics and Bioengineering Outstanding Achievement Award
科研成果
代表性项目
1.国家自然科学基金联合基金重点项目，基于超算与多组学的智能医药大数据关键技术研究及应用，2023-2026，257万，项目负责人
2.深圳市高层次人才团队项目，生物医学大数据人工智能分析及自闭症早期分级筛查应用,2021-2026，2500万，项目负责人
3.深圳市重点实验室筹建启动，深圳市重点实验室筹建启动,2023-2025，500万，项目负责人
4.广东省教育厅创新人才团队，智能生物医学大数据系统创新团队,2022，40万，项目负责人
5.National Science Foundation (NSF), “SaTC: EDU: Collaborative: Advancing Cybersecurity Learning Through Inquiry-based Laboratories on a Container-based Virtualization Platform”，2019 - 2022，$481,360, Co-PI
6.National Science Foundation (NSF), “REU Site: Research Experience for Undergraduates in Immersive Media Computing,”,2019 - 2022，$316,794.00, Senior Investigator
7.National Science Foundation (NSF), “Collaborative Learning in Cloud-based Virtual Computer Labs”,2017 - 2020，$300,000.00, Co-PI
8.Zoo Atlanta, "Research Agreement for Supporting GRA, Visiting Scientist or Scholar," PI: Yi Pan, $62,500.00, Proposal Number CON005870 (SP00010049), 01/01/2019 - 12/31/2020
代表性论文
1.Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things. 2024; vol.662, Xiaokang Zhou, Wang Huang, Wei Liang, Zheng Yan, Jianhua Ma, Yi Pan, Kevin I-Kai Wang, Information Sciences
2.Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse. 2024; vol. 42, no. 4, pp. 817-831, Zhou, Xiaokang and Yang, Qiuyue and Zheng, Xuzhe and Liang, Wei and Wang, Kevin I-Kai and Ma, Jianhua and Pan, Yi and Jin, Qun, IEEE Journal on Selected Areas in Communications
3.Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks. 2024; vol. 33, no. 1, pp. 231-244, Chen, Ming and Jiang, Yajian and Lei, Xiujuan and Pan, Yi✷ and Ji, Chunyan and Jiang, Wei, Chinese Journal of Electronics
4.An Encoding-Decoding Framework Based on CNN for circRNA-RBP Binding Sites Prediction. 2024; vol. 33, no. 1, pp. 256-263,Guo, Yajing and Lei, Xiujuan and Pan, Yi, Chinese Journal of Electronics
5.Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. 2023; vol.647, Yuchen Zhang and Xiujuan Lei and Cai Dai and Yi Pan and Fang-Xiang Wu, Information Sciences
6.circ2CBA: prediction of circRNA-RBP binding sites combining deep learning and attention mechanism. 2023; Sci. 17, 175904, Yajing Guo, Xiujuan Lei, Lian Liu, Yi Pan, Frontiers of Computer Science
7.An Explainable Artificial Intelligence-Based Robustness Optimization Approach for Age-Related Macular Degeneration Detection Based on Medical IOT Systems. 2023; 12(12):2697, Mini Han Wang, Kelvin Kam-lung Chong, Zhiyuan Lin, Xiangrong Yu, Yi Pan✷, Electronics
8.MSResG: Using GAE and Residual GCN to Predict Drug–Drug Interactions Based on Multi-source Drug Features. 2023; vol.15, pp.171–188, Lin Guo, Xiujuan Lei, Ming Chen , Yi Pan, Interdisciplinary Sciences: Computational Life Sciences
9.Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach. 2022 Jan;42(1):441-461, Yi Pan, Xiujuan Lei, Yuchen Zhang, Medicinal Research Reviews
10.Predicting Microbe-Disease Association Based on Heterogeneous Network and Global Graph Feature Learning, 2022, 31(2): 345-353, Yueyue Wang, Xiujuan Lei, Yi Pan✷. Chinese Journal of Electronics
11.scIAC: clustering scATAC-seq data based on Student’s t-distribution similarity imputation and denoising autoencoder. 2022; pp. 206-211, Lan, Wei and Sun, Xun and Chen, Qingfeng and Ye, Jin and Zhu, Xiaoshu and Pan, Yi, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
12.Predicting CircRNA-Disease Associations Based on Improved Weighted Biased Meta-Structure, 2021, 36, 288–298, Xiu-Juan Lei, Chen Bian, Yi Pan✷, Journal of Computer Science and Technology
13.Generative adversarial networks: A survey toward private and secure applications, 2021, 54(6),1-38, Zhipeng Cai, Zuobin Xiong, Honghui Xu, Peng Wang, Wei Li, Yi Pan✷, ACM Computing Surveys (CSUR)
14.An Integrated Deep Learning and Molecular Dynamics Simulation-Based Screening Pipeline Identifies Inhibitors of a New Cancer Drug Target TIPE2, 2021 Nov 23;12:772296, Haiping Zhang, Junxin Li, Konda Mani Saravanan, Hao Wu, Zhichao Wang, Du Wu, Yanjie Wei, Zhen Lu, Youhai H Chen, Xiaochun Wan, Yi Pan✷. Frontiers in pharmacology
15.Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov, 2020 Sep;12(3):368-376, Haiping Zhang,Konda Mani Saravanan, Yang Yang, Md Tofazzal Hossain, Junxin Li, Xiaohu Ren, Yi Pan, Yanjie Wei, Interdisciplinary Sciences: Computational Life Sciences
申请专利
1.基于可解释性算法的模型鲁棒性优化方法，申请年份：2023年，202310533528.4
2.基于可解释性算法和真实世界数据的老年黄斑变性干湿分型方法及装置，申请年份：2023年
3.基于可解释性算法的多模态数据睑板腺功能障碍检测，申请年份：2023年，202310780556.6
4.基于人脑功能磁共振影像的自闭症分类器构建方法及系统，申请年份：2022年，CN202210501930.1
5.可解释性老年黄斑变性分类方法、装置及存储介质，申请年份：2022年，CN202210432933.2
6.自闭症的评估方法、评估装置、电子设备以及存储介质，申请年份：2022年，CN202210385975.5
7.面部表情识别方法、装置、设备及可读存储介质，申请年份：2022年，CN202210748378.4
8.一种自动化干细胞检测方法、系统、终端以及存储介质，申请年份：2021年，CN202110962855.2
9.细胞荧光图像阈值化方法、系统、终端及存储介质，申请年份：2021年，CN202110962869.4
10.TIPE2抑制剂及其应用、筛选方法及筛选装置，申请年份：2021年，CN202111398119.5
