Per-packet load-balanced, low-latency routing for clos-based data center networks. - Jiaxin Cao; Rui Xia; Pengkun Yang; Chuanxiong Guo; Guohan Lu; Lihua Yuan; Yixin Zheng; Haitao Wu; Yongqiang Xiong; David A. Maltz (CoNEXT, 2013)

Software defined radio implementation of signaling splitting in hyper-cellular network. - Tao Zhao 002; Pengkun Yang; Huimin Pan; Ruichen Deng; Sheng Zhou 001; Zhisheng Niu (SRIF@SIGCOMM, 2013)

Optimal entropy estimation on large alphabets via best polynomial approximation. - Yihong Wu 001; Pengkun Yang (ISIT, 2015)

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation. - Yihong Wu 001; Pengkun Yang (IEEE Trans. Inf. Theory, 2016)

Polynomial methods in statistical inference: Theory and practice - Pengkun Yang (2018)

On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. - Lili Su; Pengkun Yang (NeurIPS, 2019)

On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. - Lili Su; Pengkun Yang (CoRR, 2019)

Optimal estimation of high-dimensional Gaussian mixtures. - Natalie Doss; Yihong Wu 001; Pengkun Yang; Harrison H. Zhou (CoRR, 2020)

Polynomial Methods in Statistical Inference: Theory and Practice. - Yihong Wu 001; Pengkun Yang (Found. Trends Commun. Inf. Theory, 2020)

Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks. - Cong Fang 001; Jason D. Lee; Pengkun Yang; Tong Zhang 001 (COLT, 2021)

Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. - Lili Su; Jiaming Xu 002; Pengkun Yang (CoRR, 2021)

Boosting Active Learning via Improving Test Performance. - Tianyang Wang; Xingjian Li 002; Pengkun Yang; Guosheng Hu; Xiangrui Zeng; Siyu Huang; Cheng-Zhong Xu 001; Min Xu 009 (AAAI, 2022)

Deep Active Learning with Noise Stability. - Xingjian Li 002; Pengkun Yang; Tianyang Wang; Xueying Zhan; Min Xu 009; Dejing Dou; Chengzhong Xu 001 (CoRR, 2022)

Federated Learning in the Presence of Adversarial Client Unavailability. - Lili Su; Jiaming Xu 002; Pengkun Yang (CoRR, 2023)

Two Phases of Scaling Laws for Nearest Neighbor Classifiers. - Pengkun Yang; Jingzhao Zhang (CoRR, 2023)

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. - Lili Su; Jiaming Xu 002; Pengkun Yang (J. Mach. Learn. Res., 2023)

Age Optimal Sampling Under Unknown Delay Statistics. - Haoyue Tang; Yuchao Chen 001; Jintao Wang 001; Pengkun Yang; Leandros Tassiulas (IEEE Trans. Inf. Theory, 2023)

Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics. - Yuchao Chen 001; Haoyue Tang; Jintao Wang 001; Pengkun Yang; Leandros Tassiulas (J. Commun. Networks, 2023)

Semi-supervised transfer learning with hierarchical self-regularization. - Xingjian Li 002; Abulikemu Abuduweili; Humphrey Shi; Pengkun Yang; Dejing Dou; Haoyi Xiong; Chengzhong Xu 001 (Pattern Recognit., 2023)

Deep Active Learning with Noise Stability. - Xingjian Li 002; Pengkun Yang; Yangcheng Gu; Xueying Zhan; Tianyang Wang; Min Xu 009; Chengzhong Xu 001 (AAAI, 2024)

Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs. - Dong Huang; Xianwen Song; Pengkun Yang (COLT, 2024)

Optimization of the front-mounted fertilizer pipe strip rotary tillage device by modeling the wide-seedbed characteristics and power consumption. - Pengfei Zhao; Xiaojun Gao; Xiaoteng Ju; Pengkun Yang; Qingbin Song; Yuxiang Huang; Zhiqi Zheng (Comput. Electron. Agric., 2024)

Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms. - Xiaochun Niu; Lili Su; Jiaming Xu 002; Pengkun Yang (CoRR, 2024)

Global Convergence of Federated Learning for Mixed Regression. - Lili Su; Jiaming Xu 002; Pengkun Yang (IEEE Trans. Inf. Theory, 2024)

Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models. - Yichen Lyu; Pengkun Yang (COLT, 2025)

Fast and Multiphase Rates for Nearest Neighbor Classifiers. - Pengkun Yang; Jingzhao Zhang (COLT, 2025)

On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. - Muxing Wang; Pengkun Yang; Lili Su (Trans. Mach. Learn. Res., 2025)

On the Best Approximation by Finite Gaussian Mixtures. - Yun Ma 003; Yihong Wu 001; Pengkun Yang (IEEE Trans. Inf. Theory, 2025)