Dr. Yang CAO (曹洋) Associate Professor TDSAI Lab Department of Computer Science Tokyo Institute of Technology I am looking for Postdoctoral Fellows, PhD students, and Research Assistants. Please see Recruitment for more details. Research Interests Differential Privacy, Federated Learning, Data Economy, Trustworthy AI. Email: cao@c.titech.ac.jp Short Bio Yang Cao is an Associate Professor at the Department of Computer Science, Tokyo Institute of Technology (Tokyo Tech), and directing the Trustworthy Data Science and AI (TDSAI) Lab. He is passionate about studying and teaching on algorithmic trustworthiness in data science and AI. Two of his papers on data privacy were selected as best paper finalists in top-tier conferences IEEE ICDE 2017 and ICME 2020. He was a recipient of the IEEE Computer Society Japan Chapter Young Author Award 2019, Database Society of Japan Kambayashi Young Researcher Award 2021. His research projects were/are supported by JSPS, JST, MSRA, KDDI, LINE, WeBank, etc. Publications see Google scholar, DBLP, Research Map, or TDSAI Lab Selected Publications Research Grants PI: JSPS Bilateral Joint Research Projects with NSFC (China PI: Prof. Xiaochun Cao at Sun Yat-sen University). Towards Trustworthy Foundation Models for Computer Vision, 2024-2027. PI: JST PRESTO, New Trust Enhancing Technologies for Large Language Models, 2023-2027. Co-PI: JST CREST (PI: Prof. Kenjiro Taura at UTokyo), Privacy-Preserving Data Analysis and Secure Data Infrastructure for Real Applications, 2021-2027. Co-PI: JST/NSF SICORP (Japan PI: Prof. Masatoshi Yoshikawa at KyotoU, US PI: Prof. Li Xiong at Emory), Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis, 2021-2024. PI: JSPS Grant-in-Aid for Scientific Research (B), A Principled Framework for Explaining, Choosing and Negotiating Privacy Parameters of Differential Privacy, 2022-2025. Co-PI: JSPS Grant-in-Aid for Scientific Research (A) (PI: Prof. Takao Murakami at Institute of Mathematical Statistics), 分散型ソーシャルグラフに向けた差分プライバシー技術, 2022-2027. Co-PI: JSPS Grant-in-Aid for Exploratory Research (PI: Prof. Masatoshi Yoshikawa at KyotoU), 個人の選好と報酬配分を考慮したパーソナルデータの健全で頑健な流通系構築に向けて, 2021-2024. PI: Kayamori Foundation of Informational Science Advancement, Privacy-Preserving Face Image Sharing, 2022-2023. PI: KDDI Foundation, Privacy-Preserving Spatiotemporal Data Collection and Analysis for Epidemic Surveillance, 2021-2023. PI: CCF-Tencent Rhino-Bird Young Faculty Open Research Fund, Privacy Protection and Incentivization in Federated Learning, 2020-2021. PI (Collaborator: Prof. Junichi Yamagishi at NII): NII Open Collaborative Research Funds, Speaker De-identification with Provable Privacy in Speech Data Release, 2020-2021. PI: Microsoft Research Asia Collaborative Research Grant 2020 (CORE16), Towards a Unified, Customizable and Rigorous Spatiotemporal Event Privacy Protection Framework, 2020. PI: JSPS Grant-in-Aid for Early-Career Scientists, Achieving Differential Privacy under Spatiotemporal Correlations, 2019-2021. Professional Service Editorial/Organizing Committee Member Associate Editor, IEEE Transactions on Dependable and Secure Computing (TDSC) 2024-2025. Associate Editor, IPSJ Transactions on Data Processing (IPSJ-TOD) 2024. Associate Editor, IEICE Transactions on Information and Systems, Special Issue on Data Engineering and Information Management 2024. Program co-chair, Australasian Database Conference (ADC) 2024. Proceeding co-chair, International Conference on Very Large Data Bases (VLDB) 2024. Senior Program Committee, ACM International Conference on Information and Knowledge Management (CIKM), 2024. Senior Program Committee, The AAAI Conference on Artificial Intelligence (AAAI) 2022. Session Chair, KDD 2023, VLDB 2023, ICDE 2021, DASFAA 2021, SFDI 2020. Publicity chair, First International Workshop on Emerging Blockchain Technology Solutions for Real-world Applications (EBTSRA) in conjunction with IEEE VTC 2020. Guest Editor. Special Issue on “Emerging Blockchain Technology Solutions for Real-world Applications,” Sensors. Guest Editor. Special Issue on “Blockchain for Peer-to-Peer Computing,” Peer-to-Peer Networking and Applications (PPNA). Program Committee Member International Conference on Very Large Data Bases (VLDB) 2023, 2024. ACM SIGMOD International Conference on Management of Data (SIGMOD) 2022, 2024, 2025 ACM SIGKDDD Conference on Knowledge Discovery and Data Mining (KDD) 2022, 2023. IEEE International Conference on Data Engineering (ICDE) 2020, 2021, 2022, 2023. The AAAI Conference on Artificial Intelligence (AAAI) 2021, 2022, 2023. International Joint Conferences on Artificial Intelligence (IJCAI) 2024. ACM International Conference on Web Search and Data Mining (WSDM), 2022. International Conference on Advanced Data Mining and Applications (ADMA), 2024. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2023. ACM Symposium on Cloud Computing (ACM SoCC), 2023. IEEE International Conference on Big Data (IEEE BigData) 2020, 2022, 2023, 2024. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2019, 2020, 2021. 2022. International Conference on Extending Database Technology (EDBT) 2022, 2023, 2024. International Conference on Database Systems for Advanced Applications (DASFAA) 2019, 2020, 2021, 2022, 2023, 2024. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2023, 2024. SIAM International Conference on Data Mining (SDM), 2024. IEEE International Conference on Multimedia and Expo (ICME) 2020, 2021, 2022, 2024 International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2023. Workshop on Privacy in the Electronic Society (WPES) 2022, 2023. Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec) 2022. International Workshop on Blockchain and Distributed Ledger (BCDL) in conjunction with VLDB 2019. IEEE International Workshop on Blockchain and Data Management (BlockDM) 2019, 2020, 2021. International Workshop on Software Foundations for Data Interoperability (SFDI) 2019, 2020, 2021. International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH) in conjunction with VLDB 2020, 2021. International Workshop on Data Science for Data Marketplaces (DSDM) In conjunction with the International Conference on Very Large Data Bases 2022. Journal Reviewer Very Large Data Base (VLDB) Journal IEEE Transactions on Knowledge and Data Engineering (TKDE) IEEE Transactions on Information Forensics and Security (TIFS) IEEE Transactions on Dependable and Secure Computing (TDSC) Distributed and Parallel Databases (DAPD), Springer Information Sciences, Elsevier Computer Networks, Elsevier Computers & Security, Elsevier Future Generation Computer Systems (FGCS), Elsevier IET Information Security International Journal of Information Security (IJIS) IEEE Transactions on Big Data IEEE Transactions on Signal Processing IEEE Access Teaching プログラム理論と言語, 2023 冬. 情報学II, 2023 秋. Theory and Practice of Algorithms, 2023 Spring. 計算機プログラミングⅠ・演習, 2023 春. 科学技術英語演習, 2023 春夏, 2023 秋冬 Practice of Information Systems, 2021/2022 Spring. Distributed Information Systems, 2020/2021 Fall. PBL/FBL Privacy-enhancing Techniques for Combating COVID-19, 2020 Spring PBL/FBL Personal Data Market, 2018 Fall.