个人资料
- 部门： 太阳集团tyc9728
- 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：
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，太阳成集团，太阳集团tyc9728，二级教授，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（丹麦国家级人才）。
主要研究领域涵盖人工智能，数据驱动的决策智能, 机器学习, AI for Science，数据管理和分析等，在人工智能和数据库等领域的重要会议和期刊发表论文80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。
开授课程
人工智能基础（Spring semester, 2024, 2025） 数据治理（Fall semester，2023，2024）
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 （丹麦国家级人才）, 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.
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