Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. - Navjot Singh; Linjian Ma; Hongru Yang; Edgar Solomonik (CoRR, 2019)

Continuous Regular Functions. - Alexi Block Gorman; Philipp Hieronymi; Elliot Kaplan; Ruoyu Meng; Erik Walsberg; Zihe Wang; Ziqin Xiong; Hongru Yang (Log. Methods Comput. Sci., 2020)

Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map. - Hongru Yang; Jiajun Li (Displays, 2021)

Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition. - Navjot Singh; Linjian Ma; Hongru Yang; Edgar Solomonik (SIAM J. Sci. Comput., 2021)

On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks. - Hongru Yang; Zhangyang Wang (CoRR, 2022)

On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. - Hongru Yang; Zhangyang Wang (AISTATS, 2023)

AMPT: Automatic Mixed-Precision Tuning Based on Accuracy Gain. - Jiangwei Hao; Yuanyuan Xia; Fei Li; Hongru Yang; Zongjiang Yi; Bei Zhou; Jianmin Pang (APSEC, 2023)

Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation. - Zuoyan Zhang; Bei Zhou; Jiangwei Hao; Hongru Yang; Mengqi Cui; Yuchang Zhou; Guanghui Song; Fei Li 045; Jinchen Xu; Jie Zhao 002 (ASE, 2023)

Convergence and Generalization of Wide Neural Networks with Large Bias. - Hongru Yang; Ziyu Jiang; Ruizhe Zhang 001; Zhangyang Wang; Yingbin Liang (CoRR, 2023)

Pruning Before Training May Improve Generalization, Provably. - Hongru Yang; Yingbin Liang; Xiaojie Guo 002; Lingfei Wu 001; Zhangyang Wang (CoRR, 2023)

LCOC: A Low-cost Optimizing Compiler for Large Scale Quantum Programs Towards Realistic Hardware. - Yu Zhu; Jinchen Xu; Qing Mu; Hongru Yang; Xiaodong Ding; Qiming Du; Zheng Shan (ISPA, 2024)

Arfa: An Agile Regime-Based Floating-Point Optimization Approach for Rounding Errors. - Jinchen Xu; Mengqi Cui; Fei Li 045; Zuoyan Zhang; Hongru Yang; Bei Zhou; Jie Zhao 002 (ISSTA, 2024)

Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis. - Hongru Yang; Bhavya Kailkhura; Zhangyang Wang; Yingbin Liang (NeurIPS, 2024)

Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. - Hongru Yang; Zhangyang Wang; Jason D. Lee; Yingbin Liang (ICLR, 2025)

AutoFPIR: A Automatic Conversion Tool for Floating-point Program to Equivalent Intermediate Representation. - Yuchang Zhou; Ping Zhang; Jinchen Xu; Bei Zhou; Mengqi Cui; Hongru Yang; Liguang Ji; Jianing Zhang (ICSIM, 2025)

PESA: error sensitivity analysis tool for floating-point computational programs. - Mengqi Cui; Jinchen Xu; Yuchang Zhou; Hongru Yang; Liguang Ji; Bei Zhou (J. Supercomput., 2025)