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ORCIDYuhang Yao 0003
Person information
- affiliation: TensorOpera Inc.
- affiliation (former): Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
Other persons with the same name
- Yuhang Yao — disambiguation page
- Yuhang Yao 0001
![[0000-0003-2347-0091]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2347-0091")
— University of California at Irvine (UCI), Department of Electrical Engineering and Computer Science, Center for Pervasive Communications and Computing (CPCC), CA, USA - Yuhang Yao 0002 — WuXi AMIT Intelligent Medical Technology Col., Ltd., Wuxi, China
- Yuhang Yao 0004 — Sun Yat-sen University, School of Electronic and Communication Engineering, China
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2020 – today
- 2025
[i19]Yuhang Yao, Haixin Wang, Yibo Chen, Jiawen Wang, Min Chang Jordan Ren, Bosheng Ding, Salman Avestimehr, Chaoyang He:
Toward Super Agent System with Hybrid AI Routers. CoRR abs/2504.10519 (2025)- [i18]Jiajun Gu, Yuhang Yao, Shuaiqi Wang, Carlee Joe-Wong:
Evaluating Selective Encryption Against Gradient Inversion Attacks. CoRR abs/2508.04155 (2025) - [i17]Shouxu Lin, Zimeng Pan, Yuhang Yao, Hae Young Noh, Pei Zhang, Carlee Joe-Wong:
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes. CoRR abs/2510.10380 (2025) - 2024
- [c12]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. EMNLP (Industry Track) 2024: 279-289 - [c11]Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He:
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. EMNLP (Industry Track) 2024: 452-462 - [c10]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:
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 2024: 5070-5081 - [i16]Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He:
LLM Multi-Agent Systems: Challenges and Open Problems. CoRR abs/2402.03578 (2024) - [i15]Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He:
TorchOpera: A Compound AI System for LLM Safety. CoRR abs/2406.10847 (2024) - [i14]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR abs/2408.00008 (2024) - [i13]Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He:
PolyRouter: A Multi-LLM Querying System. CoRR abs/2408.12320 (2024) - [i12]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:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - [i11]Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong:
FedGraph: A Research Library and Benchmark for Federated Graph Learning. CoRR abs/2410.06340 (2024) - [i10]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:
Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. CoRR abs/2411.05209 (2024) - [i9]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:
Fox-1 Technical Report. CoRR abs/2411.05281 (2024) - [i8]Siddharth Ambekar, Yuhang Yao, Ryan Li, Carlee Joe-Wong:
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks. CoRR abs/2412.16144 (2024) - 2023
- [c9]Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI 2023: 197-208 - [c8]Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo:
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS 2023 - [c7]Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong:
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. NeurIPS 2023 - [i7]Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He:
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR abs/2303.10837 (2023) - [i6]Shanshan Han, Wenxuan Wu, Baturalp Buyukates, Weizhao Jin, Yuhang Yao, Qifan Zhang, Salman Avestimehr, Chaoyang He:
Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning. CoRR abs/2310.04055 (2023) - 2022
- [c6]Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong:
A neural-based bandit approach to mobile crowdsourcing. HotMobile 2022: 15-21 - [i5]Yuhang Yao, Carlee Joe-Wong:
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. CoRR abs/2201.12433 (2022) - [i4]Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta:
Faithful Explanations for Deep Graph Models. CoRR abs/2205.11850 (2022) - [i3]Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu:
FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR abs/2211.06812 (2022) - 2021
- [c5]Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. AAAI 2021: 4608-4616 - [c4]Yucai Fan, Yuhang Yao, Carlee Joe-Wong:
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. ICDM 2021: 1060-1065 - [i2]Yucai Fan, Yuhang Yao, Carlee Joe-Wong:
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. CoRR abs/2110.05598 (2021) - 2020
- [i1]Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. CoRR abs/2012.08740 (2020)
2010 – 2019
- 2019
- [j3]Jiapeng Zhang, Luoyi Fu, Shuhao Li, Yuhang Yao, Xinbing Wang:
Core Percolation in Interdependent Networks. IEEE Trans. Netw. Sci. Eng. 6(4): 952-967 (2019) - [j2]Jiaqi Liu, Luoyi Fu, Yuhang Yao, Xinzhe Fu, Xinbing Wang, Guihai Chen:
Modeling, Analysis and Validation of Evolving Networks With Hybrid Interactions. IEEE/ACM Trans. Netw. 27(1): 126-142 (2019) - [c3]Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang:
APRP: An Anonymous Propagation Method in Bitcoin Network. AAAI 2019: 10073-10074 - 2018
- [j1]Xudong Wu, Luoyi Fu, Yuhang Yao, Xinzhe Fu, Xinbing Wang, Guihai Chen:
GLP: A Novel Framework for Group-Level Location Promotion in Geo-Social Networks. IEEE/ACM Trans. Netw. 26(6): 2870-2883 (2018) - 2017
- [c2]Jiayu Pan, Yuhang Yao, Luoyi Fu, Xinbing Wang:
Core Percolation in Coupled Networks. MobiHoc 2017: 28:1-28:2 - [c1]Jiaqi Liu, Yuhang Yao, Xinzhe Fu, Luoyi Fu, Xiao-Yang Liu, Xinbing Wang:
Evolving K-Graph: Modeling Hybrid Interactions in Networks. MobiHoc 2017: 29:1-29:2
Coauthor Index
aka: Salman Avestimehr
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