Small-World Topology Can Significantly Improve the Performance of Noisy Consensus in a Complex Network. - Yuhao Yi; Zhongzhi Zhang; Yuan Lin 003; Guanrong Chen (Comput. J., 2015)

Corona Graph as a Small-world Model. - Qian Lv; Yuhao Yi; Zhongzhi Zhang (CoRR, 2015)

Robustness of First- and Second-Order Consensus Algorithms for a Noisy Scale-Free Small-World Koch Network. - Yuhao Yi; Zhongzhi Zhang; Liren Shan; Guanrong Chen (IEEE Trans. Control. Syst. Technol., 2017)

Biharmonic Distance and Performance of Second-Order Consensus Networks with Stochastic Disturbances. - Yuhao Yi; Bingjia Yang; Zhongzhi Zhang; Stacy Patterson (ACC, 2018)

Convergence Rate of Consensus in a Network of Networks. - Anirban Das; Yuhao Yi; Stacy Patterson; Bassam Bamieh; Zhongzhi Zhang (CDC, 2018)

Improving Information Centrality of a Node in Complex Networks by Adding Edges. - Liren Shan; Yuhao Yi; Zhongzhi Zhang (IJCAI, 2018)

Biharmonic Distance Related Centrality for Edges in Weighted Networks. - Yuhao Yi; Liren Shan; Huan Li 002; Zhongzhi Zhang (IJCAI, 2018)

Current Flow Group Closeness Centrality for Complex Networks? - Huan Li 002; Richard Peng; Liren Shan; Yuhao Yi; Zhongzhi Zhang (WWW, 2019)

Topological and Spectral Properties of Small-World Hierarchical Graphs. - Yi Qi; Yuhao Yi; Zhongzhi Zhang (Comput. J., 2019)

Disagreement and Polarization in Two-Party Social Networks. - Yuhao Yi; Stacy Patterson (CoRR, 2019)

A Resistance-Distance-Based Approach for Optimal Leader Selection in Noisy Consensus Networks. - Stacy Patterson; Yuhao Yi; Zhongzhi Zhang (IEEE Trans. Control. Netw. Syst., 2019)

Consensus in Self-Similar Hierarchical Graphs and Sierpiński Graphs: Convergence Speed, Delay Robustness, and Coherence. - Yi Qi; Zhongzhi Zhang; Yuhao Yi; Huan Li 002 (IEEE Trans. Cybern., 2019)

Edge corona product as an approach to modeling complex simplical networks. - Yucheng Wang; Yuhao Yi; Wanyue Xu; Zhongzhi Zhang (CoRR, 2020)

Scale-Free Loopy Structure is Resistant to Noise in Consensus Dynamics in Complex Networks. - Yuhao Yi; Zhongzhi Zhang; Stacy Patterson (IEEE Trans. Cybern., 2020)

Maximizing the Number of Spanning Trees in a Connected Graph. - Huan Li 002; Stacy Patterson; Yuhao Yi; Zhongzhi Zhang (IEEE Trans. Inf. Theory, 2020)

Shifting Opinions in a Social Network Through Leader Selection. - Yuhao Yi; Timothy Castiglia; Stacy Patterson (IEEE Trans. Control. Netw. Syst., 2021)

Diffusion and Consensus in a Weakly Coupled Network of Networks. - Yuhao Yi; Anirban Das; Bassam Bamieh; Zhongzhi Zhang; Stacy Patterson (IEEE Trans. Control. Netw. Syst., 2021)

A Sample-Based Algorithm for Approximately Testing r-Robustness of a Digraph. - Yuhao Yi; Yuan Wang 001; Xingkang He; Stacy Patterson; Karl Henrik Johansson (CDC, 2022)

Modeling Higher-Order Interactions in Complex Networks by Edge Product of Graphs. - Yucheng Wang; Yuhao Yi; Wanyue Xu; Zhongzhi Zhang (Comput. J., 2022)

Fair Curing and Network Design in SIS Epidemic Processes. - Yuhao Yi; Liren Shan; Philip E. Paré; Karl Henrik Johansson (CoRR, 2022)

Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models. - Yuhao Yi; Liren Shan; Philip E. Paré; Karl Henrik Johansson (SIAM J. Control. Optim., 2022)

Fast Approximation of Coherence for Second-Order Noisy Consensus Networks. - Zuobai Zhang; Wanyue Xu; Yuhao Yi; Zhongzhi Zhang (IEEE Trans. Cybern., 2022)

Biharmonic Distance-Based Performance Metric for Second-Order Noisy Consensus Networks. - Yuhao Yi; Bingjia Yang; Zuobai Zhang; Zhongzhi Zhang; Stacy Patterson (IEEE Trans. Inf. Theory, 2022)

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. - Yuhao Yi; Ronghui You; Hong Liu; Changxin Liu; Yuan Wang; Jiancheng Lv (AAAI, 2024)

Dynamic Curing and Network Design in SIS Epidemic Processes. - Yuhao Yi; Liren Shan; Philip E. Paré; Karl Henrik Johansson (CDC, 2024)

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering. - Changxin Liu 001; Yanghao Li; Yuhao Yi; Karl Henrik Johansson (CoRR, 2024)

LiD-FL: Towards List-Decodable Federated Learning. - Hong Liu; Liren Shan; Han Bao; Ronghui You; Yuhao Yi; Jiancheng Lv (AAAI, 2025)

Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner. - Wenchuan Zhang; Penghao Zhang; Jingru Guo; Tao Cheng; Jie Chen; Shuwan Zhang; Zhang Zhang; Yuhao Yi; Hong Bu (CoRR, 2025)

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning. - Chen Shu; Boyu Fu; Yiman Li; Ting Yin; Wenchuan Zhang; Jie Chen; Yuhao Yi; Hong Bu (CoRR, 2025)

Adding links wisely: how an influencer seeks for leadership in opinion dynamics? - Lingfei Wang; Yu Xing; Yuhao Yi; Ming Cao 001; Karl Henrik Johansson (CoRR, 2025)

Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning. - Wenchuan Zhang; Jingru Guo; Hengzhe Zhang; Penghao Zhang; Jie Chen; Shuwan Zhang; Zhang Zhang; Yuhao Yi; Hong Bu (CoRR, 2025)