Pengkun Yang - RankMe

45 papers A* 9A 1B 2Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Personalized Multi-Agent Average Reward TD-Learning via Joint Linear Approximation. CoRR Leo Muxing Wang, Pengkun Yang, Lili Su
2025	A*	`conf`	Fast and Multiphase Rates for Nearest Neighbor Classifiers. COLT Pengkun Yang, Jingzhao Zhang
2025	A*	`conf`	Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models. COLT Yichen Lyu, Pengkun Yang
2025	J	`jnl`	Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. IEEE Trans. Inf. Theory Dong Huang, Xianwen Song, Pengkun Yang
2025	J	`jnl`	On the Best Approximation by Finite Gaussian Mixtures. IEEE Trans. Inf. Theory Yun Ma, Yihong Wu, Pengkun Yang
2025	J	`jnl`	On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. Trans. Mach. Learn. Res. Muxing Wang, Pengkun Yang, Lili Su
2025	A*	`conf`	Sample Complexity of Correlation Detection in the Gaussian Wigner Model. ICML Dong Huang, Pengkun Yang
2025	J	`jnl`	Testing Correlation in Graphs by Counting Bounded Degree Motifs. CoRR Dong Huang, Pengkun Yang
2024	J	`jnl`	Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms. CoRR Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang
2024	A*	`conf`	Deep Active Learning with Noise Stability. AAAI Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
2024	J	`jnl`	Global Convergence of Federated Learning for Mixed Regression. IEEE Trans. Inf. Theory Lili Su, Jiaming Xu, Pengkun Yang
2024	A*	`conf`	Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. COLT Dong Huang, Xianwen Song, Pengkun Yang
2024	J	`jnl`	Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. CoRR Dong Huang, Xianwen Song, Pengkun Yang
2024	J	`jnl`	On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. CoRR Muxing Wang, Pengkun Yang, Lili Su
2024	J	`jnl`	On the best approximation by finite Gaussian mixtures. CoRR Yun Ma, Yihong Wu, Pengkun Yang
2024	J	`jnl`	Optimization of the front-mounted fertilizer pipe strip rotary tillage device by modeling the wide-seedbed characteristics and power consumption. Comput. Electron. Agric. Pengfei Zhao, Xiaojun Gao, Xiaoteng Ju, Pengkun Yang, Qingbin Song, Yuxiang Huang, Zhiqi Zheng
2023	J	`jnl`	A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. J. Mach. Learn. Res. Lili Su, Jiaming Xu, Pengkun Yang
2023	J	`jnl`	Age Optimal Sampling Under Unknown Delay Statistics. IEEE Trans. Inf. Theory Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
2023	J	`jnl`	Federated Learning in the Presence of Adversarial Client Unavailability. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2023	B	`conf`	On the best approximation by finite Gaussian mixtures. ISIT Yun Ma, Yihong Wu, Pengkun Yang
2023	J	`jnl`	Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics. CoRR Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
2023	J	`jnl`	Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics. J. Commun. Networks Yuchao Chen, Haoyue Tang, Jintao Wang, Pengkun Yang, Leandros Tassiulas
2023	J	`jnl`	Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
2023	J	`jnl`	Two Phases of Scaling Laws for Nearest Neighbor Classifiers. CoRR Pengkun Yang, Jingzhao Zhang
2022	J	`jnl`	Age Optimal Sampling Under Unknown Delay Statistics. CoRR Haoyue Tang, Yuchao Chen, Jintao Wang, Pengkun Yang, Leandros Tassiulas
2022	A*	`conf`	Boosting Active Learning via Improving Test Performance. AAAI Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2022	J	`jnl`	Deep Active Learning with Noise Stability. CoRR Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022	A*	`conf`	Global Convergence of Federated Learning for Mixed Regression. NeurIPS Lili Su, Jiaming Xu, Pengkun Yang
2022	J	`jnl`	Global Convergence of Federated Learning for Mixed Regression. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2021	J	`jnl`	Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2021	J	`jnl`	Boosting Active Learning via Improving Test Performance. CoRR Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2021	A*	`conf`	Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. COLT Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
2021	J	`jnl`	Polynomial methods in statistical inference: theory and practice. CoRR Yihong Wu, Pengkun Yang
2020	J	`jnl`	Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. CoRR Cong Fang, Jason D. Lee, Pengkun Yang, Tong Zhang
2020	J	`jnl`	Optimal estimation of high-dimensional Gaussian mixtures. CoRR Natalie Doss, Yihong Wu, Pengkun Yang, Harrison H. Zhou
2020	J	`jnl`	Polynomial Methods in Statistical Inference: Theory and Practice. Found. Trends Commun. Inf. Theory Yihong Wu, Pengkun Yang
2019	A*	`conf`	On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. NeurIPS Lili Su, Pengkun Yang
2019	J	`jnl`	On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. CoRR Lili Su, Pengkun Yang
2018	—	`—`	Polynomial methods in statistical inference: Theory and practice Pengkun Yang
2016	J	`jnl`	Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation. IEEE Trans. Inf. Theory Yihong Wu, Pengkun Yang
2015	B	`conf`	Optimal entropy estimation on large alphabets via best polynomial approximation. ISIT Yihong Wu, Pengkun Yang
2014	J	`jnl`	Minimax rates of entropy estimation on large alphabets via best polynomial approximation. CoRR Yihong Wu, Pengkun Yang
2013	A	`conf`	Per-packet load-balanced, low-latency routing for clos-based data center networks. CoNEXT Jiaxin Cao, Rui Xia, Pengkun Yang, Chuanxiong Guo, Guohan Lu, Lihua Yuan, Yixin Zheng, Haitao Wu, Yongqiang Xiong, David A. Maltz
2013	J	`jnl`	Software Defined Radio Implementation of Signaling Splitting in Hyper-Cellular Network. CoRR Tao Zhao, Pengkun Yang, Huimin Pan, Ruichen Deng, Sheng Zhou, Zhisheng Niu
2013	—	`conf`	Software defined radio implementation of signaling splitting in hyper-cellular network. SRIF@SIGCOMM Tao Zhao, Pengkun Yang, Huimin Pan, Ruichen Deng, Sheng Zhou, Zhisheng Niu