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  • 个人资料
  • 个人概况
  • 研究方向
  • 招生与培养
  • 开授课程
  • 科研项目
  • 学术成果
  • 荣誉及奖励
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杨彬

  • 个人资料

    • 部门： 数据科学与工程学院
    • 性别： 男
    • 专业技术职务： 讲席教授/博士生导师
    • 毕业院校： 复旦大学
    • 学位： 博士
    • 学历： 博士
    • 联系电话：
    • 电子邮箱： byang@dase.ecnu.edu.cn
    • 办公地址：
    • 通讯地址：
    • 邮编：
    • 传真：

    工作经历

    教育经历

    2010 计算机软件与理论，理学博士，复旦大学，导师:周傲英教授。

    2007 计算机科学与技术，工学硕士，西北工业大学。

    2004 计算机科学与技术，工学学士，西北工业大学。 


    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，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）杰出科学家，计算机系终身教授，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，数据管理和分析等，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丹麦、中国、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等多个顶级期刊的专家审稿人，以及PVLDB、IJCAI、AAAI、ICDE、KDD等若干国际顶级会议的程序委员。

    社会兼职

    +ACM SIGSPATIAL中国分会执行委员

    研究方向

    详见实验室主页 https://decisionintelligence.github.io/


    决策智能

    机器学习

    时间序列分析

    时空数据分析

    AI for Science

    数据管理和分析

    招生与培养

    开授课程

    科研项目

    + Time Series Analytics and Spatio-temporal Data Management, 195万丹麦克朗，funded by Huawei, 2020 - 2022.

    + Light-AI for Cognitive Power Electronics, 329万丹麦克朗，funded by Villum Synergy Programme, 2020 - 2022.

    + Advance: A Data-Intensive Paradigm for Dynamic, Uncertain Networks, 760万丹麦克朗，funded by Independent Research Fund Denmark, 2019 - 2023.

    + Algorithmic Foundations for Data-Intensive Routing, 29万丹麦克朗，funded by The Danish Agency for Science and Higher Education, 2019 - 2021.

    + Astra: AnalyticS of Time seRies in spAtial networks, 336万丹麦克朗，funded by Independent Research Fund Denmark, 2018 - 2021.

    + Distinguished Scholar, 300万丹麦克朗，funded by The Technical Faculty of IT and Design, Aalborg University, 2018 - 2021.

    + Research Collaborations with Industries in North Jutland, 10万丹麦克朗，funded by Aalborg Kommune, 2018.

    + aSTEP: aau's Spatio-TEmporal data analytics Platform, 5万丹麦克朗，funded by Aalborg University, since 2016.

    学术成果

    学术论文详见DBLP


    2023年

    • Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen. 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)


    2022年

    • Miao Zhang, Wei Huang, and Bin Yang. Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022. (CCF A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类)

    • Shufang Xie, Peng Han, Yingce Xia, Lijun Wu, Tao Qin, Chenjuan Guo, Bin Yang, and Rui Yan. RetroGraph: Retrosynthetic Planning with Graph Search.KDD 2022.(CCF A类)

    • Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, and Shirui Pan. Triformer: Triangular, Variable-Specific Attention for Long Sequence Multivariate Time Series Forecasting. IJCAI 2022.(CCF A类)

    • Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, and Shirui Pan. Towards Spatio-Temporal Aware Traffic Time Series Forecasting. ICDE 2022.(CCF A类)

    • Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, and Kai Zheng. Robust and Explainable Autoencoders for Time Series Outlier Detection. ICDE 2022.(CCF A类)

    • Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, and Christian S. Jensen. Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE 2022.(CCF A类)

    • Xuanhao Chen, Yan Zhao, Kai Zheng, Bin Yang, and Christian S. Jensen. Influence-aware Task Assignment in Spatial Crowdsourcing. 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. WWW 2022.(CCF A类)

    • Frederik Mathiesen, Bin Yang, and Jilin Hu. Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems.AAAI 2022.(CCF A类)

    • Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, and Christian S. Jensen. Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.ICDE 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)


    荣誉及奖励

    + 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.