张冰雪
Bingxue ZHANG
Mobile:手机：(+86) 189 1695 2595
Research Summary
I study data trust in generative AI — how data is protected, traced, and valued as AI systems are trained and deployed — a cross-disciplinary frontier spanning machine learning, data economics, and security, grounded in real-world deployments. My long-term goal is trustworthy and economically sustainable data infrastructure for the generative AI era.
研究概述
张冰雪博士毕业于法国里昂中央理工大学，长期从事可信生成式人工智能方向的研究与教学工作——围绕数据保护、贡献追溯与价值评估三个核心方向展开。曾在新加坡国立大学与黄铭钧院士（ACM/IEEE Fellow、中国科学院外籍院士）团队协作，深度参与新加坡国家研究基金（NRF）资助的多项研究项目。主持国家自然科学基金等6项国家及省部级项目，在 IEEE TKDE、ICDE、ACM KDD、DASFAA 等国际高水平期刊和会议发表论文多篇。担任 ACM SIGKDD 宣传主席、DASFAA 大会副主席等学术服务职务。累计指导24名研究生（含1名博士生），其中14名已毕业。
Research Interests
Trustworthy Generative AI
Data Valuation & Attribution
Privacy-Preserving Machine Learning
研究方向
可信生成式AI
数据估值与归因
隐私保护机器学习
Education
École Centrale de Lyon, France (China Scholarship Council-Funded)
Ph.D. in Information Science
2011.09 – 2014.11
Beihang University, China
M.Eng. in Automation Science
2008.09 – 2011.03
Dalian University of Technology, China
B.S. in Network Engineering
2004.09 – 2008.07
教育背景
法国里昂中央理工大学（国家留学基金委公派）
信息科学博士
2011.09 – 2014.11
北京航空航天大学
控制科学与工程硕士
2008.09 – 2011.03
大连理工大学
网络工程学士
2004.09 – 2008.07
Academic Appointments
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology (USST)
Associate Professor
2022.06 – Present
School of Computing, National University of Singapore (NUS)
Academic Scholar → Visiting Associate Professor. Supervisor: Prof. Beng Chin Ooi (ACM/IEEE Fellow, Foreign Member of CAS). Labs: DBSystem Lab & Singapore Blockchain Innovation Programme (SBIP). Funded by CSC, then Singapore NRF.
2022.09 – 2024.03
School of Optical-Electrical and Computer Engineering, USST
Assistant Professor
2016.06 – 2022.05
Department of Informatics and Mathematics, École Centrale de Lyon, France
Assistant Lecturer
2014.11 – 2015.09
工作经历
上海理工大学 光电信息与计算机工程学院
副教授
2022.06 – 至今
新加坡国立大学 计算机学院
访问学者 → 客座副教授. 导师：黄铭钧教授（ACM/IEEE Fellow，中国科学院外籍院士）。实验室：DBSystem Lab & 新加坡区块链创新实验室 (SBIP)。资助来源：国家留学基金委，后续新加坡国家研究基金。
2022.09 – 2024.03
上海理工大学 光电信息与计算机工程学院
助理教授
2016.06 – 2022.05
法国里昂中央理工大学 信息与数学系
助理讲师
2014.11 – 2015.09
Selected Publications
Top-Tier Conference Papers
- B. Zhang [1st], J. Jia, F. Zhu. Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation. IEEE ICDE, 2027 (Accepted).
- B. Zhang [1st], J. Li, et al. SimuGov: Simulation Optimization for Generative AI Governance Strategy Design. ACM KDD, 2026. DOI: 10.1145/3770855.3818903
- B. Zhang [1st, corr.], F. Zhu, et al. Data Valuation for Generative Models. ACM KDD, 2026 (Tutorial). DOI: 10.1145/3770855.3816452
- B. Zhang [1st], Y. Shi, et al. Design and Implementation of Decentralized Data Protection Protocol for Generative AI. DASFAA, 2025. DOI: 10.1007/978-981-95-3830-0_9
- B.C. Ooi, …, B. Zhang, M. Zhang. The Metaverse Data Deluge: What Can We Do About It? IEEE ICDE, 2023. DOI: 10.1109/ICDE55515.2023.00296
SCI Q1 Journal Papers
- B. Zhang [1st], G. Lu, et al. Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. IEEE TKDE, 2025. DOI: 10.1109/TKDE.2025.3550546
- B. Zhang [1st], G. Chen, et al. Managing Metaverse Data Tsunami: Actionable Insights. IEEE TKDE, 2024. DOI: 10.1109/TKDE.2024.3354960
- Z. Yin, …, B. Zhang [corr.]. Generic Mental Workload Measurement Using a Shared Spatial Map Network. IEEE TIM, 2024. DOI: 10.1109/TIM.2024.3373070
代表性论文
顶级会议论文
- B. Zhang [1st], J. Jia, F. Zhu. Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation. IEEE ICDE, 2027 (Accepted).
- B. Zhang [1st], J. Li, et al. SimuGov: Simulation Optimization for Generative AI Governance Strategy Design. ACM KDD, 2026. DOI: 10.1145/3770855.3818903
- B. Zhang [1st, corr.], F. Zhu, et al. Data Valuation for Generative Models. ACM KDD, 2026 (Tutorial). DOI: 10.1145/3770855.3816452
- B. Zhang [1st], Y. Shi, et al. Design and Implementation of Decentralized Data Protection Protocol for Generative AI. DASFAA, 2025. DOI: 10.1007/978-981-95-3830-0_9
- B.C. Ooi, …, B. Zhang, M. Zhang. The Metaverse Data Deluge: What Can We Do About It? IEEE ICDE, 2023. DOI: 10.1109/ICDE55515.2023.00296
SCI Q1 期刊论文
- B. Zhang [1st], G. Lu, et al. Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System. IEEE TKDE, 2025. DOI: 10.1109/TKDE.2025.3550546
- B. Zhang [1st], G. Chen, et al. Managing Metaverse Data Tsunami: Actionable Insights. IEEE TKDE, 2024. DOI: 10.1109/TKDE.2024.3354960
- Z. Yin, …, B. Zhang [corr.]. Generic Mental Workload Measurement Using a Shared Spatial Map Network. IEEE TIM, 2024. DOI: 10.1109/TIM.2024.3373070
Research Grants
Principal Investigator of 6 national and provincial research grants totaling over 2M RMB; core participant in three Singapore NRF projects.
Principal Investigator
Funder
National Natural Science Foundation of China (NSFC)
Project
Research on Modeling, Recognition and Adaption Mechanism of Learning Ability in Adaptive Learning (62007024)
Principal Investigator2021–2023
Funder
Science and Technology Commission of Shanghai Municipality
Project
Multidimensional Perceptual and Adaptive Learning Platform (202H1059400)
Principal Investigator2020–2022
Funder
Science and Technology Commission of Shanghai Municipality
Project
Multi-modal Cognitive Analysis Engine Based on Biological Data (220H1173700)
Principal Investigator2023–2025
Funder
China Education Equipment Industry Association
Project
Research and Application of Teaching Quality Analysis and Educational Decision Support based on AI (CEFR18009R4)
Principal Investigator2018–2020
Funder
Shanghai Young Science & Technology Talent Sailing Program
Project
Research on Context Awareness and Adaptive Learning Technology based on Data Mining (17YF1428400)
Principal Investigator2017–2020
Funder
Huadong Hospital Affiliated to Fudan University
Project
R&D of Precise Positioning Radiotherapy Assistant System (3A-21-302-108)
Principal Investigator2021–2022
Core Participant
Funder
National Research Foundation (NRF), Singapore
Project
Singapore AI- and Data-driven Financial Management and Analytics (A-0008021-00-00)
Core Participant2022–2024
Funder
NRF Singapore
Project
Singapore Blockchain Innovation Programme (SBIP)
Core Participant2022–2024
Funder
NRF Singapore, Emerging Areas Research Projects (EARP)
Project
Blockchain and Metaverse Research
Core Participant2022–2024
科研项目
主持国家自然科学基金等6项国家及省部级项目，总经费超200万元人民币；作为核心成员参与3项新加坡国家研究基金项目。
主持
资助方
国家自然科学基金
课题名称
自适应学习中学习能力模型构建、识别方法与适应机制的研究 (62007024)
主持2021–2023
资助方
上海市科学技术委员会
课题名称
多维数据感知的人工智能自适应学习平台 (202H1059400)
主持2020–2022
资助方
上海市科学技术委员会
课题名称
基于生物数据的多模态认知分析引擎 (220H1173700)
主持2023–2025
资助方
中国教育装备行业协会
课题名称
基于人工智能技术的教学质量分析及教育决策支持的研究及应用 (CEFR18009R4)
主持2018–2020
资助方
上海市青年科技英才扬帆计划
课题名称
基于数据挖掘的情境感知及自适应学习技术的研究 (17YF1428400)
主持2017–2020
资助方
复旦大学附属华东医院
课题名称
精准定位放疗辅助系统研发 (3A-21-302-108)
主持2021–2022
核心参与
资助方
新加坡国家研究基金 (NRF)
课题名称
AI及数据驱动的金融管理分析 (A-0008021-00-00)
核心参与2022–2024
资助方
新加坡 NRF
课题名称
新加坡区块链创新实验室 (SBIP)
核心参与2022–2024
资助方
新加坡 NRF 新兴领域研究项目 (EARP)
课题名称
区块链与元宇宙研究
核心参与2022–2024
Books
· Handbook of Blockchain, Digital Finance, and Inclusion, Vol. 3. Elsevier, 2025. ISBN 9780443347184.
· University Computer Science and Artificial Intelligence, 6th Edition. Beijing University of Posts and Telecommunications Press. (Associate Editor; National Planned Textbook)
专著
· Handbook of Blockchain, Digital Finance, and Inclusion, Vol. 3. Elsevier, 2025. ISBN 9780443347184.
· 大学计算机与人工智能（第6版）. 北京邮电大学出版社. (副主编；国家级规划教材)
Honors & Awards
· 2018 — Forty Forty, French government young leaders award, by French Prime Minister at French Embassy, Beijing
· 2017 — Shanghai Young Science & Technology Talent (Sailing Program)
· 2016 — "3310" Overseas High-Level Talent, Yangpu District, Shanghai
· 2022 — Wanxiang Blockchain Hackathon Champion; Polygon Global Hackathon 3rd Place
荣誉与获奖
· 2018 — Forty Forty（40位40岁以下精英），法国政府青年领袖奖，法国总理在法国驻华大使馆颁发
· 2017 — 上海市青年科技英才（扬帆计划）
· 2016 — "3310"海外高层次人才，上海市杨浦区
· 2022 — 万向区块链黑客松冠军；Polygon全球黑客松季军
Teaching
Graduate Student Supervision
· 14 Master's theses supervised to completion, including recipients of Outstanding Graduate Thesis awards and students who continued to doctoral programs at overseas institutions
· 10 graduate students currently under supervision, including 1 Ph.D. candidate
Courses Taught
· Blockchain Technology and Applications (Graduate, USST)
· Blockchain Literacy: From Technical Principles to Social Innovation (Undergraduate, USST)
· Mobile Application Development (Undergraduate, USST)
· Java Programming and Development (Undergraduate, USST)
教学
研究生培养
· 14名硕士已毕业，其中包括优秀毕业论文获得者及赴海外高校攻读博士的学生
· 10名研究生在读，其中包括1名博士生
主讲课程
· 区块链技术与应用 (研究生，上海理工大学)
· 区块链通识：从技术原理到社会创新 (本科生，上海理工大学)
· 移动应用开发 (本科生，上海理工大学)
· Java编程与开发 (本科生，上海理工大学)
Selected Invited Talks & Keynotes
· Oct 2026 — NDBC 2026 "Data Asset Governance" Forum (invited talk). Valuing Data Assets in the Generative AI Era
· Aug 2026 — ACM KDD 2026 Tutorial "Data Valuation for Generative Models". Refining Value via Temporal and Multi-Stage Attribution
· Nov 2025 — SMU Research Seminar & Web3 Symposium (invited by Prof. Feida Zhu, Associate Dean). Data Valuation: A Trustworthy Computing Perspective; The Next Step for Web3
· Aug 2025 — CCF China Digital Finance Conference. Creator Economy Based on Trustworthy Computing
· 2023 — WIKI FINANCE EXPO Singapore. AIGC is on Fire? Shortcomings and Opportunities
精选特邀报告
· 2026年10月 — NDBC 2026「数据资产治理」论坛（特约报告）。生成式AI时代的数据资产估值
· 2026年8月 — ACM KDD 2026 Tutorial "Data Valuation for Generative Models"。精炼价值：时序与多阶段归因
· 2025年11月 — SMU研究研讨会及Web3研讨会 (受SMU朱飞达副院长邀请)。可信计算视角下的数据估值；Web3的下一步：从数据所有权到创作价值
· 2025年8月 — CCF中国数字金融大会。基于可信计算的创作者经济
· 2023年 — WIKI FINANCE EXPO 新加坡。AIGC正火热？短板与机遇
Research Translation & System Deployment
· Developed AI-driven adaptive learning and diagnostic systems deployed across universities, healthcare institutions, and K-12 schools. Certified as National High-Tech Enterprise.
· 1 invention patent (CN 113191438 B) and 10 software copyrights on AIGC image generation, creator collaboration platforms, and intelligent learning systems.
研究转化与系统部署
· 开发AI驱动的自适应学习与诊断系统，部署于高校、医疗机构及中小学。获得国家高新技术企业。
· 1项发明专利 (CN 113191438 B) 及10项软件著作权，涵盖AIGC图像生成、创作者协作平台、智能学习系统。
Additional Publications
Author of 30+ refereed publications on adaptive learning, EEG-based cognitive modeling, and smart city applications, including 25+ as first author.
· 9 SCI journal papers (Brain Sciences, Entropy, Frontiers in Neuroscience, etc.)
· 15+ EI-indexed conference papers (IEEE ICALT, IET ICSSC, etc.)
· 6 Chinese journal papers (J. of Chinese Computer Systems, Software Journal)
Full list of Publications:
- Zhang, B., Jia, J., Zhu, F. Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation. IEEE ICDE, 2027 (Accepted).
- Zhang, B., Li, J., et al. SimuGov: Simulation Optimization for Generative AI Governance Strategy Design. ACM KDD, 2026. DOI: 10.1145/3770855.3818903
- Zhang, B., Zhu, F., et al. Data Valuation for Generative Models. ACM KDD, 2026 (Tutorial). DOI: 10.1145/3770855.3816452
- Zhang, B., Shi, Y., Zhu, F., Lee, WC. Design and Implementation of Decentralized Data Protection Protocol for Generative AI. The 30th International Conference on Database Systems for Advanced Applications (DASFAA 2025), vol 15987, Singapore, 2026.
- Zhang, B., Lu G., Wu Y., Ren K. and Zhu F., Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 6, pp. 3841-3854, 2025.
- Zhang, B., Chen G., Ooi, B. C., et al, Managing Metaverse Data Tsunami: Actionable Insights. IEEE Transactions on Knowledge and Data Engineering, 2024.
- Zhang B., Yin, Z., Tang, J., … Generic Mental Workload Measurement Using a Shared Spatial Map Network with Different EEG Channel Layouts. IEEE Transactions on Instrumentation & Measurement, 2024.
- Yin, Z., Tang, J., … and Zhang B., Generic Mental Workload Measurement Using a Shared Spatial Map Network with Different EEG Channel Layouts. IEEE Transactions on Instrumentation & Measurement, 2024.
- Zhang, B., Qiu P, et al. FlowBridge: Process Engine Supporting Multi-organizational Cross-chain Business Integration. Journal of Computer Systems, Accepted, 2024.
- B.C. Ooi, …, Zhang, B., et al. The Metaverse Data Deluge: What Can We Do About It? IEEE ICDE, 2023. DOI: 10.1109/ICDE55515.2023.00296
- Zhang, B., Lu, G., Qiu, P., et al. Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption. Entropy, 2023, 25(11): 1550.
- Zhang B, Zhuge Y, Yin Z. Design and implementation of an EEG-based recognition mechanism for the openness trait of the Big Five. Frontiers in Neuroscience, 2022,07(16):926256.
- Zhang B, Shi Y, Hou L, et al. TSMG: A Deep Learning Framework for Recognizing Human Learning Style Using EEG Signals. Brain Sciences, 2021, 11(11): 1397.
- Zhang B, Shi Y, Li Y, et al. An Enhanced Elo-based Student Model for Polychotomously Scored Items in Adaptive Educational System. Interactive Learning Environments, 2021: 1-18.
- Zhang B, Chai C, Yin Z, et al. Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism. Brain Sciences, 2021, 11(5): 613.
- Yue, H., Zhong X., Zhang, B., et al. "Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition , Brain Sciences 11, no. 11 (2021): 1392.
- Zhang B, Li Y, Shi Y, et al. Recognition and Application of Learner’s Cognitive Ability for Adaptive E-learning[C]. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2020: 62-64.
- Zhang B, Yin C, David B, et al. Facilitating Professionals' Work-Based Learning with Context-Aware Mobile System. Science of Computer Programming, 2016, 129: 3-19.
- Zhang B, Yin C, David B, et al. A Context-Aware Mobile System for Work-Based Learning. Computer Applications in Engineering Education, 2016, 24(2): 263-276.
- Yin C, Zhang B, David B, et al. A Hierarchical Ontology Context Model for Work-based Learning. Frontiers of Computer Science, 2015, 9(3): 466-473.
- Yin C, Zhu S, Chen H, Zhang B, et al. A Method for Community Detection of Complex Networks based on Hierarchical Clustering. International Journal of Distributed Sensor Networks, 2015, 11(6): 849140.
- Yin C, Zhang B, David B, et al. Design and Case Study of WoBaLearn - A Work-Based Learning System[C]. 2014 IEEE 14th International Conference on Advanced Learning Technologies. IEEE, 2014: 77-79.
- Zhang B, Yin C, David B, et al. A Framework of Context-Aware Mobile Learning System for Professionals[C]. 2013 IEEE 13th International Conference on Advanced Learning Technologies. IEEE, 2013: 23-25.
- Zhang B, David B, Yin C, et al. Contextual Learning System for Professional Education in Smart City[C]. “Horizon 2020: Smart Cities Learning” workshop, Alpine Rendez-Vous 2013. 2013: 1-4.
- Yin C, Zhang B, Rong W, et al. Mobile Learning for Professional Situations in Smart City[C]. IET International Conference on Smart and Sustainable City 2013 (ICSSC 2013). IET, 2013: 401-406.
- Giovannella C, Gobbi A, Zhang B, et al. Villard-de-Lans: A Case Study for Participatory People-Centered Smart City Learning Design[C]. 2013 IEEE 13th International Conference on Advanced Learning Technologies. IEEE, 2013: 461-462.
- David B, Xu T, Jin H, Zhou Y, Chalon R, Zhang B, et al. User-Oriented System for Smart City Approaches[J]. IFAC Proceedings Volumes, 2013, 46(15): 333-340.
- Zhang B, David B, Yin C, et al. Contextual Mobile Learning for Professionals Involving in “Smart City”[C]. SCiLearn workshop in 11th International Conference on Web-Based Learning, Sinaia, Romania, Sep. 2-4, 2012.
- David B, Yin C, Zhou Y, Xu T, Zhang B, et al. SMART-CITY: Problematics, Techniques and Case Studies[C]. 2012 8th International Conference on Computing Technology and Information Management (NCM and ICNIT). IEEE, 2012, 1: 168-174.
- 张冰雪,邱鹏鹏,卢光光,等.FlowBridge:支持多组织跨链业务集成的流程引擎[J].小型微型计算机系统,2025,46(05):1240-1249.
- 张冰雪,桂旭敏,史洋,等.针对个性化AI生成图像的可逆对抗性示例的设计与实现[J].小型微型计算机系统,2025,46(07):1707-1717.
- 张冰雪,李文楷.少量通道脑电信号的实时情绪分类模型[J].小型微型计算机系统,2024,45(02):271-277.
- 张冰雪,柴成亮,尹钟,等.融合多尺度脑电特征的学习风格识别[J].小型微型计算机系统,2021,42(12):2479-2484.
- 张冰雪,邵小波,熊振海,等.一种结合BERT修剪的作文自动评分模型[J].软件,2020,41(12):89-94.
- 张冰雪,刘树潜,熊振海,等.基于指导锚框平衡检测模型的录播课堂行为分析研究[J].软件,2020,41(12):45-50.
其他论文
发表30余篇论文（方向为自适应学习、脑电认知建模及智慧城市应用），其中25篇以上为第一作者。
· 9篇SCI期刊论文 (Brain Sciences, Entropy, Frontiers in Neuroscience 等)
· 15篇以上EI收录会议论文 (IEEE ICALT, IET ICSSC 等)
· 6篇中文核心期刊论文 (小型微型计算机系统, 软件期刊)
论文完整列表：
- Zhang, B., Jia, J., Zhu, F. Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation. IEEE ICDE, 2027 (Accepted).
- Zhang, B., Li, J., et al. SimuGov: Simulation Optimization for Generative AI Governance Strategy Design. ACM KDD, 2026. DOI: 10.1145/3770855.3818903
- Zhang, B., Zhu, F., et al. Data Valuation for Generative Models. ACM KDD, 2026 (Tutorial). DOI: 10.1145/3770855.3816452
- Zhang, B., Shi, Y., Zhu, F., Lee, WC. Design and Implementation of Decentralized Data Protection Protocol for Generative AI. The 30th International Conference on Database Systems for Advanced Applications (DASFAA 2025), vol 15987, Singapore, 2026.
- Zhang, B., Lu G., Wu Y., Ren K. and Zhu F., Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 6, pp. 3841-3854, 2025.
- Zhang, B., Chen G., Ooi, B. C., et al, Managing Metaverse Data Tsunami: Actionable Insights. IEEE Transactions on Knowledge and Data Engineering, 2024.
- Zhang B., Yin, Z., Tang, J., … Generic Mental Workload Measurement Using a Shared Spatial Map Network with Different EEG Channel Layouts. IEEE Transactions on Instrumentation & Measurement, 2024.
- Yin, Z., Tang, J., … and Zhang B., Generic Mental Workload Measurement Using a Shared Spatial Map Network with Different EEG Channel Layouts. IEEE Transactions on Instrumentation & Measurement, 2024.
- Zhang, B., Qiu P, et al. FlowBridge: Process Engine Supporting Multi-organizational Cross-chain Business Integration. Journal of Computer Systems, Accepted, 2024.
- B.C. Ooi, …, Zhang, B., et al. The Metaverse Data Deluge: What Can We Do About It? IEEE ICDE, 2023. DOI: 10.1109/ICDE55515.2023.00296
- Zhang, B., Lu, G., Qiu, P., et al. Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption. Entropy, 2023, 25(11): 1550.
- Zhang B, Zhuge Y, Yin Z. Design and implementation of an EEG-based recognition mechanism for the openness trait of the Big Five. Frontiers in Neuroscience, 2022,07(16):926256.
- Zhang B, Shi Y, Hou L, et al. TSMG: A Deep Learning Framework for Recognizing Human Learning Style Using EEG Signals. Brain Sciences, 2021, 11(11): 1397.
- Zhang B, Shi Y, Li Y, et al. An Enhanced Elo-based Student Model for Polychotomously Scored Items in Adaptive Educational System. Interactive Learning Environments, 2021: 1-18.
- Zhang B, Chai C, Yin Z, et al. Design and Implementation of an EEG-Based Learning-Style Recognition Mechanism. Brain Sciences, 2021, 11(5): 613.
- Yue, H., Zhong X., Zhang, B., et al. "Manifold feature fusion with dynamical feature selection for cross-subject emotion recognition , Brain Sciences 11, no. 11 (2021): 1392.
- Zhang B, Li Y, Shi Y, et al. Recognition and Application of Learner’s Cognitive Ability for Adaptive E-learning[C]. 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2020: 62-64.
- Zhang B, Yin C, David B, et al. Facilitating Professionals' Work-Based Learning with Context-Aware Mobile System. Science of Computer Programming, 2016, 129: 3-19.
- Zhang B, Yin C, David B, et al. A Context-Aware Mobile System for Work-Based Learning. Computer Applications in Engineering Education, 2016, 24(2): 263-276.
- Yin C, Zhang B, David B, et al. A Hierarchical Ontology Context Model for Work-based Learning. Frontiers of Computer Science, 2015, 9(3): 466-473.
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Academic Service
Leadership Roles
· ACM SIGKDD: Publicity Chair (2025, 2026); Organizing Committee Member (2027)
· DASFAA 2025: Associate General Chair
· NDBC 2026 "Data Asset Governance: Provenance, Valuation, and Trusted Circulation": Forum Co-Chair (with Prof. Feida Zhu)
· KDD 2026 "Data Valuation for Generative Models": Tutorial Co-organizer (with J. Pei, F. Zhu)
· KDD 2024 SDBD'24 on Blockchain and Distributed Ledgers: Workshop Organizer (with J. Pei, F. Zhu, M. Zeller — Temasek)
· AI for Open Society (SMU, 2023); Sino-Singapore Digital Economy Forum (USST, 2023); AI Short-Drama Copyright Governance Forum (Shanghai, Sept 2026; international series at SMU, Singapore, Nov 2026); Medical High-Quality Dataset Construction Forum (2026); Dialogue with Shanghai Data Group on data valuation and pricing (2026): Forum Organizer
Reviewer & Committee Service
· Grant Reviewer, National Natural Science Foundation of China
· Lead Guest Editor, Machine Learning Journal (SCI)
· Reviewer, IEEE TKDE, ACM TKDD, ACM SIGKDD, DASFAA
· Hackathon Judge, Aptos×SMU (2025), Alibaba Cloud Singapore (2024), Singapore Blockchain Innovation Challenge (2022, 2023)
· Member, CCF Technical Committee on Big Data, CCF YOCSEF Shanghai (AC), Blockchain Association Singapore (Ambassador), China Computer Federation (since 2019)
学术服务
学术组织任职
· ACM SIGKDD：宣传主席 (2025, 2026)；组委会成员 (2027)
· DASFAA 2025：大会副主席
· NDBC 2026「数据资产治理：溯源、估值与可信流通」：论坛共同主席（与朱飞达教授）
· KDD 2026 "Data Valuation for Generative Models"：Tutorial 联合组织者（与裴健、朱飞达）
· KDD 2024 SDBD'24（区块链与分布式账本）：Workshop 组织者（与裴健、朱飞达、M. Zeller — 淡马锡）
· AI for Open Society 国际学术论坛（新加坡管理大学，2023）；中新数字经济论坛（上海理工大学，2023）；AI短剧版权治理论坛（上海，2026年9月；国际系列延续至新加坡管理大学，2026年11月）；医疗行业高质量数据集建设论坛（2026）；与上海数据集团的数据估值与定价对话（2026）：论坛组织者
审稿与委员会服务
· 基金评审人，国家自然科学基金委员会
· 首席客座编辑，Machine Learning Journal (SCI Q1)
· 审稿人，IEEE TKDE, ACM TKDD, ACM SIGKDD, DASFAA
· 黑客松评委，Aptos×SMU (2025)，阿里云新加坡 (2024)，新加坡区块链创新挑战赛 (2022, 2023)
· 委员，CCF大数据专委、CCF YOCSEF上海 (AC委员)、新加坡区块链协会 (大使)、中国计算机学会 (2019年起)