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2020 – today
- 2024
[j9]Takaaki Sugino
, Shinya Onogi, Rieko Oishi, Chie Hanayama, Satoki Inoue, Shinjiro Ishida, Yuhang Yao, Nobuhiro Ogasawara, Masahiro Murakawa, Yoshikazu Nakajima:
Investigation of Appropriate Scaling of Networks and Images for Convolutional Neural Network-Based Nerve Detection in Ultrasound-Guided Nerve Blocks. Sensors 24(11): 3696 (2024)- [j8]Yuhang Yao, Syed Ali Jafar:
On the Generic Capacity of K-User Symmetric Linear Computation Broadcast. IEEE Trans. Inf. Theory 70(5): 3693-3717 (2024) - [j7]Yuhang Yao, Syed Ali Jafar:
The Capacity of 3 User Linear Computation Broadcast. IEEE Trans. Inf. Theory 70(6): 4414-4438 (2024) - [j6]Yuhang Yao, Syed Ali Jafar:
The Capacity of Classical Summation Over a Quantum MAC With Arbitrarily Distributed Inputs and Entanglements. IEEE Trans. Inf. Theory 70(9): 6350-6370 (2024) - [c19]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 - [c18]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 - [c17]Yuhang Yao, Syed A. Jafar:
Communication Efficiency of Summation over a Quantum Erasure MAC with Replicated Inputs. ICC 2024: 491-496 - [c16]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 - [i20]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) - [i19]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) - [i18]Yuhang Yao, Syed A. Jafar:
The Inverted 3-Sum Box: General Formulation and Quantum Information Theoretic Optimality. CoRR abs/2407.01498 (2024) - [i17]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) - [i16]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) - [i15]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan 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) - [i14]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) - 2023
- [j5]Yuxiang Lu, Yuhang Yao, Syed Ali Jafar:
On the Capacity of Secure K-User Product Computation Over a Quantum MAC. IEEE Commun. Lett. 27(10): 2598-2602 (2023) - [c15]Yuhang Yao, Syed Ali Jafar:
The Capacity of Classical Summation over a Quantum MAC with Arbitrarily Replicated Inputs. GLOBECOM 2023: 3633-3638 - [c14]Matteo Allaix, Yuxiang Lu, Yuhang Yao, Tefjol Pllaha, Camilla Hollanti, Syed Ali Jafar:
N-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks. GLOBECOM 2023: 5457-5462 - [c13]Yuhang Yao, Syed Ali Jafar:
The Generic Capacity of K User Symmetric Linear Computation Broadcast. ICC 2023: 2431-2436 - [c12]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 - [c11]Yuhang Yao, Syed Ali Jafar:
The Capacity of 4-Star-Graph PIR. ISIT 2023: 1603-1608 - [c10]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 - [c9]Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong:
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. NeurIPS 2023 - [i13]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) - [i12]Matteo Allaix, Yuxiang Lu, Yuhang Yao, Tefjol Pllaha, Camilla Hollanti, Syed Ali Jafar:
N-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks. CoRR abs/2304.07561 (2023) - [i11]Yuhang Yao, Syed Ali Jafar:
The Capacity of Classical Summation over a Quantum MAC with Arbitrarily Distributed Inputs and Entanglements. CoRR abs/2305.03122 (2023) - [i10]Yuxiang Lu, Yuhang Yao, Syed Ali Jafar:
On the Capacity of Secure K-user Product Computation over a Quantum MAC. CoRR abs/2305.20073 (2023) - [i9]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) - [i8]Yuhang Yao, Syed Ali Jafar:
Communication Efficiency of Summation over a Quantum Erasure MAC with Replicated Inputs. CoRR abs/2311.08386 (2023) - 2022
- [j4]Yuhang Yao, Syed Ali Jafar:
Capacity of 2-User Linear Computation Broadcast With Partially Informed Server. IEEE Commun. Lett. 26(9): 2014-2017 (2022) - [c8]Yuhang Yao, Syed Ali Jafar:
Capacity of 3-user Linear Computation Broadcast over Fq with 1D Demand and Side-Information. ISIT 2022: 1151-1156 - [c7]Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong:
A neural-based bandit approach to mobile crowdsourcing. HotMobile 2022: 15-21 - [i7]Yuhang Yao, Carlee Joe-Wong:
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. CoRR abs/2201.12433 (2022) - [i6]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) - [i5]Yuhang Yao, Syed Ali Jafar:
The Capacity of 3 User Linear Computation Broadcast. CoRR abs/2206.10049 (2022) - [i4]Yuhang Yao, Syed Ali Jafar:
On the Generic Capacity of K-User Symmetric Linear Computation Broadcast. CoRR abs/2209.07602 (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
- [c6]Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. AAAI 2021: 4608-4616 - [c5]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) - [c4]Yuhang Yao, Xiao Zeng, Tianyue Cao, Luoyi Fu, Xinbing Wang:
APRP: An Anonymous Propagation Method in Bitcoin Network. AAAI 2019: 10073-10074 - [c3]Yuhang Yao, Jinbei Zhang:
Interplay of Cache Sizes and File Popularity in Coded Caching. GLOBECOM 2019: 1-6 - 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
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