Yuhang Yao

Orcid: 0000-0002-7045-0002

Affiliations:

TensorOpera Inc.
Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA (former)

According to our database¹, Yuhang Yao authored at least 33 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

VISTA: An End-to-End Benchmark for Visual Spec-to-Web-App Coding Agents.

[BibT_eX]

[DOI]

CoRR, May, 2026

DIG to Heal: Scaling General-purpose Agent Collaboration via Explainable Dynamic Decision Paths.

[BibT_eX]

[DOI]

CoRR, March, 2026

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2026

Federated Large Language Models: Current Progress and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes.

[BibT_eX]

[DOI]

CoRR, October, 2025

Evaluating Selective Encryption Against Gradient Inversion Attacks.

[BibT_eX]

[DOI]

CoRR, August, 2025

Toward Super Agent System with Hybrid AI Routers.

[BibT_eX]

[DOI]

CoRR, April, 2025

2024

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Fox-1 Technical Report.

[BibT_eX]

[DOI]

CoRR, 2024

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

FedGraph: A Research Library and Benchmark for Federated Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

PolyRouter: A Multi-LLM Querying System.

[BibT_eX]

[DOI]

CoRR, 2024

TorchOpera: A Compound AI System for LLM Safety.

[BibT_eX]

[DOI]

CoRR, 2024

LLM Multi-Agent Systems: Challenges and Open Problems.

[BibT_eX]

[DOI]

CoRR, 2024

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

[BibT_eX]

[DOI]

CoRR, 2023

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking.

[BibT_eX]

[DOI]

Mohammad Mahdi Kamani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedRule: Federated Rule Recommendation System with Graph Neural Networks.

[BibT_eX]

[DOI]

Yuhang Yao

Mohammad Mahdi Kamani

Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022

Faithful Explanations for Deep Graph Models.

[BibT_eX]

[DOI]

CoRR, 2022

FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

Yuhang Yao

Carlee Joe-Wong

CoRR, 2022

A neural-based bandit approach to mobile crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

2021

GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs.

[BibT_eX]

[DOI]

Yucai Fan

Yuhang Yao

Carlee Joe-Wong

Proceedings of the IEEE International Conference on Data Mining, 2021

Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks.

[BibT_eX]

[DOI]

Yuhang Yao

Carlee Joe-Wong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Modeling, Analysis and Validation of Evolving Networks With Hybrid Interactions.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2019

Core Percolation in Interdependent Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2019

APRP: An Anonymous Propagation Method in Bitcoin Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

GLP: A Novel Framework for Group-Level Location Promotion in Geo-Social Networks.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2018

2017

Core Percolation in Coupled Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Evolving K-Graph: Modeling Hybrid Interactions in Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

Yuhang Yao

Timeline

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