On the Development of a Control System for a Small Bio-Methane Gas Engine Generator. - Koichi Okamura; Yijun Dong; Kenji Takahata; Jianming Yang (Int. J. Autom. Technol., 2017)

JLHS: A Joint Linear Frequency Modulation and Hyperbolic Frequency Modulation Approach for Speed Measurement. - Yuankun Peng; Caixia Song; Lu Qi; Peng Liu; Yijun Dong; Yan Yang; Boyan Zhang; Zhiguo Qi (IEEE Access, 2020)

Simpler is better: A comparative study of randomized algorithms for computing the CUR decomposition. - Yijun Dong; Per-Gunnar Martinsson (CoRR, 2021)

AdaWAC: Adaptively Weighted Augmentation Consistency Regularization for Volumetric Medical Image Segmentation. - Yijun Dong; Yuege Xie; Rachel A. Ward (CoRR, 2022)

Sample Efficiency of Data Augmentation Consistency Regularization. - Shuo Yang; Yijun Dong; Rachel A. Ward; Inderjit S. Dhillon; Sujay Sanghavi; Qi Lei (AISTATS, 2023)

Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift. - Yijun Dong; Yuege Xie; Rachel A. Ward (ICML, 2023)

PI-Parking: A Physics Informed Neural Network Approach for Parking Availability Prediction. - Yijun Dong; Haoxuan Kuang; Jun Li 105 (ICPADS, 2023)

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. - Yijun Dong; Kevin Miller; Qi Lei; Rachel Ward (NeurIPS, 2023)

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering. - Yijun Dong; Kevin Miller; Qi Lei; Rachel A. Ward (CoRR, 2023)

Randomized Dimension Reduction with Statistical Guarantees. - Yijun Dong (CoRR, 2023)

Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions. - Yijun Dong; Per-Gunnar Martinsson (Adv. Comput. Math., 2023)

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. - Yijun Dong; Viet Hoang Phan; Xiang Pan 001; Qi Lei (NeurIPS, 2024)

Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. - Yijun Dong; Hoang Phan; Xiang Pan 001; Qi Lei (CoRR, 2024)

Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations. - Yijun Dong; Per-Gunnar Martinsson; Yuji Nakatsukasa (SIAM J. Matrix Anal. Appl., 2024)

Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining. - Jianwei Li 004; Yijun Dong; Qi Lei (CPAL, 2025)

Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition. - Yijun Dong; Chao Chen 008; Per-Gunnar Martinsson; Katherine J. Pearce (SIAM J. Matrix Anal. Appl., 2025)

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension. - Yijun Dong; Yicheng Li; Yunai Li; Jason D. Lee; Qi Lei (CoRR, 2025)

Adaptive Parallelizable Algorithms for Interpolative Decompositions via Partially Pivoted LU. - Katherine J. Pearce; Chao Chen 008; Yijun Dong; Per-Gunnar Martinsson (Numer. Linear Algebra Appl., 2025)