| Ningning Ding (丁宁宁) I am a Tenure-Track Assistant Professor in the Data Science and Analytics Thrust and the Internet of Things Thrust, Information Hub, Hong Kong University of Science and Technology (Guangzhou). Multiple PhD openings are available [Details]. If you are interested, please email me your CV and transcripts! Email: ningningding[at]hkust-gz[dot]edu[dot]cn

[Biography] | [Research Interests] | [Selected Publications] | [Group Members] | [Services]

## Biography

- Assistant Professor (2024/08~present)
  Data Science and Analytics Thrust and Internet of Things Thrust
  Information Hub
  Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

- Postdoc (2022/08~2024/08)
  Electrical and Computer Engineering
  Northwestern University, Evanston, USA
  Advisor: Prof. Randall Berry (IEEE Fellow) and Prof. Ermin Wei

- Ph.D. (2018/08~2022/07)
  Information Engineering
  The Chinese University of Hong Kong, Hong Kong SAR, China
  Advisor: Prof. Jianwei Huang (IEEE Fellow)

- B.Eng. (2014/08~2018/07)
  Information Science and Engineering
  Southeast University, Nanjing, China
  GPA:3.93/4.0, Ranking: 2/235

## Research Interests

My research focuses on interdisciplinary areas of artificial intelligence, network systems, and network economics.

- Artificial intelligence: federated learning, machine unlearning, multi-agent coordination and game
- Network system: Internet of Things (IoT)
- Network economics: data trading, mechanism design

## Selected Publications

- Y. Cui, N. Ding*, and M. Cheung, "AoI-aware Federated Unlearning for Streaming Data with Online Client Selection and Pricing," IEEE International Conference on Computer Communications (INFOCOM), 2025. (Acceptance rate 18.7%, CCF A)
- N. Ding, Z. Sun, E. Wei, and R. Berry, "Incentivized Federated Learning and Unlearning," IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A, JCR Q1)
- J. Cheng, N. Ding, J. C.S. Lui, and J. Huang, "OSTOR: Online Scheduling Framework for Trading Continuous Queries," IEEE International Conference on Data Engineering (ICDE), 2025. (CCF A)
- N. Ding, L. Gao, and J. Huang, "Incentive Mechanism Design for Federated Learning with Dynamic Network Pricing," IEEE Transactions on Mobile Computing (TMC), 2025. (CCF A, JCR Q1)
- N. Ding, X. Ouyang, L. Gao, J. Huang, and G. Xing, "An Overview on Economic Analysis of Internet of Everything," IEEE Communications Surveys & Tutorials (COMST), 2025. (IF=34.4, JCR Q1)
- J. Cheng, N. Ding, J. C.S. Lui, and J. Huang, "Continuous Query-based Data Trading," ACM SIGMETRICS, 2024. (Acceptance rate 10%, CCF B)
- N. Ding, E. Wei, and R. Berry, "Strategic Data Revocation in Federated Unlearning," IEEE International Conference on Computer Communications (INFOCOM), 2024. (Acceptance rate 19.6%, CCF A)
- N. Ding, Z. Sun, E. Wei, and R. Berry, "Incentive Mechanism Design for Federated Learning and Unlearning," ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), 2023. (Acceptance rate 21.9%, CCF B)
- N. Ding, L. Gao, and J. Huang, "Joint Participation Incentive and Network Pricing Design for Federated Learning," IEEE International Conference on Computer Communications (INFOCOM), 2023. (Acceptance rate 19.2%, CCF A)
- N. Ding, L. Gao, and J. Huang, "Optimal Pricing Design for Coordinated and Uncoordinated IoT Networks," IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A, JCR Q1)
- N. Ding, L. Gao, J. Huang, Xin Li, and Xin Chen, "Optimal Pricing Under Vertical and Horizontal Interaction Structures for IoT Networks," IEEE International Conference on Computer Communications (INFOCOM), 2022. (Acceptance rate 19.9%, CCF A, collaborated with Huawei)
- N. Ding, Z. Fang, L. Duan, and J. Huang, "Optimal Incentive and Load Design for Distributed Coded Machine Learning," IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 7, pp. 2090-2104, Jul. 2021. (CCF A, JCR Q1)
- N. Ding, Z. Fang, and J. Huang, "Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information," IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 1, pp. 186-200, Jan. 2021. (CCF A, JCR Q1)
- N. Ding, Z. Fang, L. Duan, and J. Huang, "Incentive Mechanism Design for Distributed Coded Machine Learning," IEEE International Conference on Computer Communications (INFOCOM), 2021. (Acceptance rate 19.9%, CCF A)
- N. Ding, Z. Fang, and J. Huang, "Information Disclosure Game on Sharing Platforms," IEEE Global Communications Conference (GLOBECOM), 2020.
- N. Ding, Z. Fang, and J. Huang, "Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information," International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2020.

## Group Members

PhD Students:

- Jiahao Zeng (BS and MS from Beijing University of Posts and Telecommunications)
- Siyuan Wen (BS from Tsinghua University)
- Chenyu Gong (co-supervise)
- Yingzhi Liu (co-supervise)

## Services

Organizing/Technical Committee:

- Workshop Chair, IEEE International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt), 2023
- Technical Program Committee, The Fourteenth International Conference on Advanced Communications and Computation (INFOCOMP), 2024
- Program Committee, The 44th IEEE International Conference on Distributed Computing Systems (ICDCS), Track on Federated Learning, Analytics, and Deployment, 2024
- Program Committee, The Inaugural workshop on Tech for Good: Economic and Computational Advances in Distributed Systems (Tech4Good), 2024
- Session Chair, IEEE International Conference on Computer Communications (INFOCOM), 2024

Technical Review:

- IEEE Journal on Selected Areas in Communications (JSAC)
- IEEE Transactions on Mobile Computing (TMC)
- IEEE Transactions on Wireless Communications (TWC)
- IEEE/ACM Transactions on Networking (ToN)
- IEEE Transactions on Network Science and Engineering (TNSE)
- IEEE Internet of Things Journal (IoT-J)
- IEEE Systems Journal (ISJ)
- IEEE Transactions on Computational Social Systems (TCSS)
- IEEE International Conference on Computer Communications (INFOCOM)
- IEEE International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt)
- IEEE Vehicular Technology Conference (VTC)
- IEEE Network
- IEEE Communications Magazine
- IEEE China Communications
- Peer-to-Peer Networking and Applications
- Conference on Neural Information Processing Systems (NeurIPS)
- IEEE International Conference on Distributed Computing Systems (ICDCS)
- IEEE International Symposium on Information Theory (ISIT)
- IEEE Signal Processing Letters (SPL)
- IEEE Transactions on Cloud Computing (TCC)