Evolving K-Graph: Modeling Hybrid Interactions in Networks. - Jiaqi Liu 002; Yuhang Yao; Xinzhe Fu; Luoyi Fu; Xiao-Yang Liu; Xinbing Wang (MobiHoc, 2017)

Core Percolation in Coupled Networks. - Jiayu Pan; Yuhang Yao; Luoyi Fu; Xinbing Wang (MobiHoc, 2017)

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)

APRP: An Anonymous Propagation Method in Bitcoin Network. - Yuhang Yao; Xiao Zeng; Tianyue Cao; Luoyi Fu; Xinbing Wang (AAAI, 2019)

Interplay of Cache Sizes and File Popularity in Coded Caching. - Yuhang Yao; Jinbei Zhang (GLOBECOM, 2019)

Core Percolation in Interdependent Networks. - Jiapeng Zhang; Luoyi Fu; Shuhao Li; Yuhang Yao; Xinbing Wang (IEEE Trans. Netw. Sci. Eng., 2019)

Modeling, Analysis and Validation of Evolving Networks With Hybrid Interactions. - Jiaqi Liu 002; Luoyi Fu; Yuhang Yao; Xinzhe Fu; Xinbing Wang; Guihai Chen (IEEE/ACM Trans. Netw., 2019)

Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. - Yuhang Yao; Carlee Joe-Wong (AAAI, 2021)

GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. - Yucai Fan; Yuhang Yao; Carlee Joe-Wong (ICDM, 2021)

Capacity of 3-user Linear Computation Broadcast over Fq with 1D Demand and Side-Information. - Yuhang Yao; Syed Ali Jafar (ISIT, 2022)

A neural-based bandit approach to mobile crowdsourcing. - Shouxu Lin; Yuhang Yao; Pei Zhang 001; Hae Young Noh; Carlee Joe-Wong (HotMobile, 2022)

FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. - Yuhang Yao; Carlee Joe-Wong (CoRR, 2022)

Faithful Explanations for Deep Graph Models. - Zifan Wang 001; Yuhang Yao; Chaoran Zhang; Han Zhang 037; Youjie Kang; Carlee Joe-Wong; Matt Fredrikson; Anupam Datta (CoRR, 2022)

Capacity of 2-User Linear Computation Broadcast With Partially Informed Server. - Yuhang Yao; Syed Ali Jafar (IEEE Commun. Lett., 2022)

The Capacity of Classical Summation over a Quantum MAC with Arbitrarily Replicated Inputs. - Yuhang Yao; Syed Ali Jafar (GLOBECOM, 2023)

FedRule: Federated Rule Recommendation System with Graph Neural Networks. - Yuhang Yao; Mohammad Mahdi Kamani; Zhongwei Cheng; Lin Chen 021; Carlee Joe-Wong; Tianqiang Liu (IoTDI, 2023)

The Capacity of 4-Star-Graph PIR. - Yuhang Yao; Syed Ali Jafar (ISIT, 2023)

Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. - Mohammad Mahdi Kamani; Yuhang Yao; Hanjia Lyu; Zhongwei Cheng; Lin Chen 021; Liangju Li; Carlee Joe-Wong; Jiebo Luo 001 (NeurIPS, 2023)

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. - Yuhang Yao; Weizhao Jin; Srivatsan Ravi; Carlee Joe-Wong (NeurIPS, 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 001 (CoRR, 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 002; Salman Avestimehr; Chaoyang He 001 (CoRR, 2023)

On the Capacity of Secure K-User Product Computation Over a Quantum MAC. - Yuxiang Lu; Yuhang Yao; Syed Ali Jafar (IEEE Commun. Lett., 2023)

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. - Dimitris Stripelis; Zhaozhuo Xu; Zijian Hu 001; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Jipeng Zhang; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 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 001; Dimitris Stripelis; Yide Ran; Zhaozhuo Xu; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

Communication Efficiency of Summation over a Quantum Erasure MAC with Replicated Inputs. - Yuhang Yao; Syed Ali Jafar (ICC, 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

LLM Multi-Agent Systems: Challenges and Open Problems. - Shanshan Han; Qifan Zhang 002; Yuhang Yao; Weizhao Jin; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

TorchOpera: A Compound AI System for LLM Safety. - Shanshan Han; Yuhang Yao; Zijian Hu 001; Dimitris Stripelis; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

The Inverted 3-Sum Box: General Formulation and Quantum Information Theoretic Optimality. - Yuhang Yao; Syed Ali Jafar (CoRR, 2024)

PolyRouter: A Multi-LLM Querying System. - Dimitris Stripelis; Zijian Hu 001; Jipeng Zhang; Zhaozhuo Xu; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

FedGraph: A Research Library and Benchmark for Federated Graph Learning. - Yuhang Yao; Yuan Li 032; Xinyi Fan; Junhao Li; Kay Liu; Weizhao Jin; Srivatsan Ravi; Philip S. Yu; Carlee Joe-Wong (CoRR, 2024)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. - Yide Ran; Zhaozhuo Xu; Yuhang Yao; Zijian Hu 001; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Jipeng Zhang; Dimitris Stripelis; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Fox-1 Technical Report. - Zijian Hu 001; Jipeng Zhang; Rui Pan 002; Zhaozhuo Xu; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Dimitris Stripelis; Yuhang Yao; Salman Avestimehr; Chaoyang He 001; Tong Zhang 001 (CoRR, 2024)

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks. - Siddharth Ambekar; Yuhang Yao; Ryan Li; Carlee Joe-Wong (CoRR, 2024)

On the Generic Capacity of K-User Symmetric Linear Computation Broadcast. - Yuhang Yao; Syed Ali Jafar (IEEE Trans. Inf. Theory, 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, 2024)

The Capacity of 3 User Linear Computation Broadcast. - Yuhang Yao; Syed Ali Jafar (IEEE Trans. Inf. Theory, 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, 2024)

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)

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 (IEEE Trans. Inf. Theory, 2025)

Semi-automatic robotic puncture system based on deformable soft tissue point cloud registration. - Bo Zhang; Kui Chen; Yuhang Yao; Bo Wu; Qiang Li; Zheming Zhang; Peihua Fan; Wei Wang; Manxia Lin; Masakatsu G. Fujie (Int. J. Comput. Assist. Radiol. Surg., 2025)

Can Non-Signaling Assistance Increase the Degrees of Freedom of a Wireless Network? - Yuhang Yao; Syed Ali Jafar (CoRR, 2025)

On the Utility of Quantum Entanglement for Joint Communication and Instantaneous Detection. - Yuhang Yao; Syed Ali Jafar (CoRR, 2025)

Toward Super Agent System with Hybrid AI Routers. - Yuhang Yao; Haixin Wang; Yibo Chen; Jiawen Wang; Min Chang Jordan Ren; Bosheng Ding; Salman Avestimehr; Chaoyang He 001 (CoRR, 2025)

Virtual Teleportation of CSIT via Non-Signaling Assistance. - Yuhang Yao; Syed Ali Jafar (CoRR, 2025)

Capacity of Summation Over a Symmetric Quantum Erasure MAC With Partially Replicated Inputs. - Yuhang Yao; Syed Ali Jafar (IEEE Trans. Inf. Theory, 2025)

Evaluating Selective Encryption Against Gradient Inversion Attacks. - Jiajun Gu; Yuhang Yao; Shuaiqi Wang; Carlee Joe-Wong (CoRR, 2025)