Yuhang Yao

According to our database, Yuhang Yao authored at least 41 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fixed-time resource allocation algorithm for high-order MIMO nonlinear multi-agent systems.

Lun Li, Hui Yang, Yuhang Yao, Jiaxin Yuan, Chen Zhang

J. Frankl. Inst., 2025

2024

The Capacity of Classical Summation Over a Quantum MAC With Arbitrarily Distributed Inputs and Entanglements.

Yuhang Yao, Syed Ali Jafar

IEEE Trans. Inf. Theory, September, 2024

The Capacity of 3 User Linear Computation Broadcast.

Yuhang Yao, Syed Ali Jafar

IEEE Trans. Inf. Theory, June, 2024

Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks.

Takaaki Sugino, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima

Sensors, June, 2024

On the Generic Capacity of K-User Symmetric Linear Computation Broadcast.

Yuhang Yao, Syed Ali Jafar

IEEE Trans. Inf. Theory, May, 2024

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

Siddharth Ambekar, Yuhang Yao, Ryan Li, Carlee Joe-Wong

CoRR, 2024

Fox-1 Technical Report.

Zijian Hu, Jipeng Zhang, Rui Pan, Zhaozhuo Xu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Dimitris Stripelis, Yuhang Yao, Salman Avestimehr, Chaoyang He, Tong Zhang

CoRR, 2024

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

Yide Ran, Zhaozhuo Xu, Yuhang Yao, Zijian Hu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Jipeng Zhang, Dimitris Stripelis, Tong Zhang, Salman Avestimehr, Chaoyang He

CoRR, 2024

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

Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong

CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.

Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong

CoRR, 2024

PolyRouter: A Multi-LLM Querying System.

Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He

CoRR, 2024

The Inverted 3-Sum Box: General Formulation and Quantum Information Theoretic Optimality.

Yuhang Yao, Syed Ali Jafar

CoRR, 2024

TorchOpera: A Compound AI System for LLM Safety.

Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He

CoRR, 2024

LLM Multi-Agent Systems: Challenges and Open Problems.

Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He

CoRR, 2024

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

Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He

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

Communication Efficiency of Summation over a Quantum Erasure MAC with Replicated Inputs.

Yuhang Yao, Syed Ali Jafar

Proceedings of the IEEE International Conference on Communications, 2024

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

Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He

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.

Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He

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

2023

On the Capacity of Secure K-User Product Computation Over a Quantum MAC.

Yuxiang Lu, Yuhang Yao, Syed Ali Jafar

IEEE Commun. Lett., October, 2023

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

Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He

CoRR, 2023

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

Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He

CoRR, 2023

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

Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong

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.

Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo

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

The Capacity of 4-Star-Graph PIR.

Yuhang Yao, Syed Ali Jafar

Proceedings of the IEEE International Symposium on Information Theory, 2023

FedRule: Federated Rule Recommendation System with Graph Neural Networks.

Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu

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

The Capacity of Classical Summation over a Quantum MAC with Arbitrarily Replicated Inputs.

Yuhang Yao, Syed Ali Jafar

Proceedings of the IEEE Global Communications Conference, 2023

N-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks.

Matteo Allaix, Yuxiang Lu, Yuhang Yao, Tefjol Pllaha, Camilla Hollanti, Syed Ali Jafar

Proceedings of the IEEE Global Communications Conference, 2023

2022

Capacity of 2-User Linear Computation Broadcast With Partially Informed Server.

Yuhang Yao, Syed Ali Jafar

IEEE Commun. Lett., 2022

Faithful Explanations for Deep Graph Models.

Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta

CoRR, 2022

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

Yuhang Yao, Carlee Joe-Wong

CoRR, 2022

A neural-based bandit approach to mobile crowdsourcing.

Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong

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

Capacity of 3-user Linear Computation Broadcast over Fq with 1D Demand and Side-Information.

Yuhang Yao, Syed Ali Jafar

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

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

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.

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.

Jiaqi Liu, Luoyi Fu, Yuhang Yao, Xinzhe Fu, Xinbing Wang, Guihai Chen

IEEE/ACM Trans. Netw., 2019

Core Percolation in Interdependent Networks.

Jiapeng Zhang, Luoyi Fu, Shuhao Li, Yuhang Yao, Xinbing Wang

IEEE Trans. Netw. Sci. Eng., 2019

Interplay of Cache Sizes and File Popularity in Coded Caching.

Yuhang Yao, Jinbei Zhang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

APRP: An Anonymous Propagation Method in Bitcoin Network.

Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang

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.

Xudong Wu, Luoyi Fu, Yuhang Yao, Xinzhe Fu, Xinbing Wang, Guihai Chen

IEEE/ACM Trans. Netw., 2018

2017

Core Percolation in Coupled Networks.

Jiayu Pan, Yuhang Yao, Luoyi Fu, Xinbing Wang

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

Evolving K-Graph: Modeling Hybrid Interactions in Networks.

Jiaqi Liu, Yuhang Yao, Xinzhe Fu, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang

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