Yongheng Deng

Orcid: 0000-0003-3010-3812

According to our database¹, Yongheng Deng authored at least 38 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Less is More: Clustered Cross-Covariance Control for Offline RL.

[BibT_eX]

[DOI]

CoRR, January, 2026

Toward Communication-Efficient and Data-Free Collaborative Fine-Tuning Between Small and Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2026

A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2026

Revisiting Redundancy in Diffusion Transformers: A Temporal-Spatial Joint Caching Strategy for Efficient Sampling.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Gains: Fine-grained Federated Domain Adaptation in Open Set.

[BibT_eX]

[DOI]

CoRR, October, 2025

Cross-Modal Federated Learning among Unimodal Devices.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025

MASA: Multimodal Federated Learning Through Modality-Aware and Secure Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., August, 2025

DualRec: A Collaborative Training Framework for Device and Cloud Recommendation Models.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., June, 2025

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting.

[BibT_eX]

[DOI]

CoRR, June, 2025

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning.

[BibT_eX]

[DOI]

CoRR, May, 2025

AugFL: Augmenting Federated Learning With Pretrained Models.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2025

Momentum-Based Contextual Federated Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw., 2025

Inferring the Unofficial Incomes of Officials from Home Ownership.

[BibT_eX]

[DOI]

Yongheng Deng

Shang-Jin Wei

Manag. Sci., 2025

CrossLM: A Data-Free Collaborative Fine-Tuning Framework for Large and Small Language Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Malva: A Jitter-Aware Online Pruning Framework for DNN Inference Tasks.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2025

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., June, 2024

RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Federated Offline Policy Optimization with Dual Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Making resource adaptive to federated learning with COTS mobile devices.

[BibT_eX]

[DOI]

Peer-to-Peer Netw. Appl., 2022

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

Mortgage Brokers and the Effectiveness of Regulatory Oversights.

[BibT_eX]

[DOI]

Manag. Sci., 2021

FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2019

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.

[BibT_eX]

[DOI]

J. Inf. Sci., 2019

Toward Fast and Distributed Computation Migration System for Edge Computing in IoT.

[BibT_eX]

[DOI]

Chao Wu

Yaoxue Zhang

Yongheng Deng

IEEE Internet Things J., 2019

2018

Research on investor sentiment and stock market prediction based on Weibo text.

[BibT_eX]

[DOI]

Yongheng Deng

Qing Xie

Yong Wang

Proceedings of the 2018 International Conference on Security, 2018

Yongheng Deng

Timeline

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On csauthors.net:

Bibliography

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