Ningning Ding

Orcid: 0000-0002-9052-8719

According to our database1, Ningning Ding authored at least 30 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization.
CoRR, April, 2026

Trading Continuous Queries.
IEEE Trans. Mob. Comput., March, 2026

Governing AI Forgetting: Auditing for Machine Unlearning Compliance.
CoRR, February, 2026

COTRA: A Data Trading Framework for Multi-Source Data Cooperation.
IEEE Trans. Mob. Comput., January, 2026

BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning.
Proceedings of the ACM Web Conference 2026, 2026

FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
An Overview on Economic Analysis of Internet of Everything.
IEEE Commun. Surv. Tutorials, December, 2025

Trading Vector Data in Vector Databases.
CoRR, November, 2025

Incentivized Federated Learning and Unlearning.
IEEE Trans. Mob. Comput., September, 2025

Incentive Mechanism Design for Federated Learning With Dynamic Network Pricing.
IEEE Trans. Mob. Comput., August, 2025

Soft Weighted Machine Unlearning.
CoRR, May, 2025

AoI-Aware Federated Unlearning for Streaming Data with Online Client Selection and Pricing.
Proceedings of the IEEE INFOCOM 2025, 2025

OSTOR: Online Scheduling Framework for Trading Continuous Queries.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Continuous Query-based Data Trading.
Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Strategic Data Revocation in Federated Unlearning.
Proceedings of the IEEE INFOCOM 2024, 2024

Cooperative Multi-source Data Trading.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
Optimal Pricing Design for Coordinated and Uncoordinated IoT Networks.
IEEE Trans. Mob. Comput., December, 2023

Optimization Design for Federated Learning in Heterogeneous 6G Networks.
IEEE Netw., 2023

Information Disclosure under Competition in Sharing Systems.
CoRR, 2023

An Efficient Convex Hull-Based Vehicle Pose Estimation Method for 3D LiDAR.
CoRR, 2023

Incentive Mechanism Design for Federated Learning and Unlearning.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Joint Participation Incentive and Network Pricing Design for Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Eigenvalue Mapping-based Semi-implicit Discretization of the Generalized Super-Twisting Algorithm.
CoRR, 2022

Optimal Pricing Under Vertical and Horizontal Interaction Structures for IoT Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information.
IEEE J. Sel. Areas Commun., 2021

Optimal Incentive and Load Design for Distributed Coded Machine Learning.
IEEE J. Sel. Areas Commun., 2021

Incentive Mechanism Design for Distributed Coded Machine Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Incentive Mechanism Design for Federated Learning with Multi-Dimensional Private Information.
Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, 2020

Information Disclosure Game on Sharing Platforms.
Proceedings of the IEEE Global Communications Conference, 2020


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