Evan Chen
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints.
CoRR, February, 2026
Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation.
IEEE Trans. Netw., 2026
A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks.
IEEE Trans. Netw., 2026
2025
CoRR, October, 2025
Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions.
CoRR, September, 2025
From Structured Prompts to Open Narratives: Measuring Gender Bias in LLMs Through Open-Ended Storytelling.
CoRR, March, 2025
CoRR, February, 2025
CoRR, February, 2025
Proceedings of the IEEE International Conference on Communications, 2025
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach.
Proceedings of the IEEE INFOCOM 2024, 2024
2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Green Coffee Bean Defect Detection Using Shift-Invariant Features and Non-Local Block.
Proceedings of the 6th IEEE International Conference on Knowledge Innovation and Invention, 2023
2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2018
Discret. Math. Theor. Comput. Sci., 2018
Electron. J. Comb., 2018
2017
Schur-Concavity for Avoidance of Increasing Subsequences in Block-Ascending Permutations.
Electron. J. Comb., 2017