职位

讲席教授，国家级领军人才，博士生导师

决策智能实验室主页

https://decisionintelligence.github.io/

欢迎本科生，硕士生，博士生，博士后加入实验室！

个人简介

杨彬，华东师范大学，数据科学与工程学院，讲席教授，国家级领军人才（2021年），博士生导师。曾就任于丹麦奥尔堡大学, 工程技术学院（2022年USNews全球大学排名奥尔堡大学工科排名欧洲第一，世界第八），终身教授，杰出科学家，丹麦独立研究基金会Sapere Aude科学家（丹麦杰青）。

主要研究领域涵盖决策智能，机器学习，AI for Science，数据管理和分析。在数据库和人工智能等领域的重要会议和期刊发表论文70余篇，研究成果已经广泛应用于中国、丹麦、德国、荷兰、希腊和塞浦路斯的相关企业和政府部门。2013年在移动数据管理国际会议（IEEE MDM 2013）上分别获得了最佳论文奖和最佳演示系统奖。2015年获得上海市计算机学会普适计算与嵌入式最佳论文奖。受邀参加IEEE MDM 2019，作为首批青年杰出讲师做特邀报告。2019年被评为IJCAI2019杰出程序委员。担任2018年移动数据管理国际会议（MDM 2018）的程序委员会主席；作为本地主席参与组织了EDBT2020和VLDB2021；并担任若干其他国际会议的宣传主席，Workshop主席和Poster主席。担任欧盟ERC，以及奥地利和荷兰等多个国家的研究基金会的特邀评审人。担任IEEE TKDE、The VLDB Journal、ACM TODS和JMLR等多个顶级期刊的专家审稿人，以及PVLDB、SIGMOD、ICDE、IJCAI、AAAI和KDD等若干国际顶级会议的程序委员。

研究方向

决策智能，机器学习，AI for Science，数据管理和分析

Automation, Explainability, Robustness, Efficiency

Model compression, online/offline knowledge distillation

Physics Informed Neural Networks (PINN)

Contrastive learning, self-supervised learning, weakly-supervised learning

DB4AI, AI4DB

科研项目

+ Time Series Analytics, 华为校企合作项目，2023-2024

+ 新一代人工智能核心技术和交叉应用研究，教育部，2023-2028

+ 基于负载预测的云计算资源调度优化算法，阿里巴巴AIR合作，2022-2023

+ Time Series Analytics and Spatio-temporal Data Management, funded by Huawei Sweden, 2020 - 2022.

+ Light-AI for Cognitive Power Electronics, funded by Villum Synergy Programme, 2020 - 2022.

+ Advance: A Data-Intensive Paradigm for Dynamic, Uncertain Networks, funded by Independent Research Fund Denmark, 2019 - 2023.

+ Algorithmic Foundations for Data-Intensive Routing, funded by The Danish Agency for Science and Higher Education, 2019 - 2021.

+ Astra: AnalyticS of Time seRies in spAtial networks, funded by Independent Research Fund Denmark, 2018 - 2021.

+ Distinguished Scholar, funded by The Technical Faculty of IT and Design, Aalborg University, 2018 - 2021.

+ Research Collaborations with Industries in North Jutland, funded by Aalborg Kommune, 2018.

+ aSTEP: aau's Spatio-TEmporal data analytics Platform, funded by Aalborg University, since 2016.

荣誉奖励

+ 国家级领军人才，2021

+ Distinguished Program Committee Member, 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019

+ Early Career Distinguished Lecturer, 20th IEEE International Conference on Mobile Data Management (MDM), 2019.

+ Sapere Aude Research Leader （丹麦杰青）, Independent Research Fund Denmark, 2018.

+ Distinguished Scholar, The Technical Faculty of IT and Design, Aalborg University, 2018.

+ 2015年度上海市计算机学会普适计算与嵌入式最佳论文奖

+ Best paper award at MDM 2013, together with Manohar Kaul and Christian S. Jensen.

+ Best demo award at MDM 2013, together with Ove Andersen, Christian S. Jensen and Kristian Torp.

研究生指导

硕士

宋晏如，田锦东，张布昂，2022~

Frederik Baymler Mathiesen, 2020~2021, AAAI 2022

David Campos, 2020~2021, PVLDB 2022

博士

欧阳彪，2022~，

David Campos, 2021~, SIGMOD 2023

Xinle Wu, 2020~, PVLDB 2022, SIGMOD 2023

Sean Bin Yang, 2019~2022, TKDE 2022, ICDE 2022, IJCAI 2021, ICDE 2020

Razvan-Gabriel Cirstea, 2018~2022, IJCAI 2022, ICDE 2022, ICDE 2021

Simon A. Pedersen, 2017~2021, ICDE 2020, PVLDB 2020, VLDBJ 2020

Tung Kieu, 2017~2021, ICDE 2022 X2, IJCAI 2019,

Jilin Hu, 2015~2018, ICDE 2020, ICDE 2019, VLDBJ 2018

社会兼职

ACM SIGSPATIAL中国分会执行委员

CCF 数据库专业委员会执行委员

学术论文详见：https://dblp.org/pid/77/377-2.html

··类)

•  Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen. AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. SIGMOD 2023. (CCF A类)

•  Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan. Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. TKDE. (CCF A类)

•  Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou. Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. TKDE. (CCF A类)

· 类)

• Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, and Bin Yang. Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022. (CCF A·····ICDE 2022.(CCF A类)

• Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Reza Haffari, and Bin Yang. BaLeNAS: Differentiable Architecture Search via Bayesian Learning Rule. CVPR 2022.(CCF A类)

• Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng and Christian S. Jensen. Outlier Detection for Streaming Task Assignment in Crowdsourcing. The Web Conference 2022.(CCF A类)

• Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, and Christian S. Jensen. AutoCTS: Automated Correlated Time Series Forecasting. PVLDB 2022.(CCF A类)

• David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, and Christian S. Jensen. Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. PVLDB 2022.(CCF A类)