Yuxin Dong

Education

B.S. in Computer Science and Technology, Xi’an Jiaotong University, 2014 - 2019.
- GPA: 3.81 / 4.30 [Transcript]
Ph.D. in Computer Science and Technology, Xi’an Jiaotong University, 2019 - Now.
- GPA: 3.78 / 4.00 (Top 1 in School of Computer Science and Technology) [Transcript]

Programming Language: C/C++, Python, Matlab, Java, C#, JavaScript, PHP, HTML.
Software: Microsoft Office (Word, Excel, PowerPoint), Latex, Adobe (Photoshop, Premiere, Audition).
English: CET-4 (576), CET-6 (547), TOEFL (102) [Transcript].

How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis.
Yuxin Dong, Tieliang Gong, Hong Chen, Shuangyong Song, Weizhan Zhang, Chen Li. IEEE Transactions on Information Theory. 2025. [Link] [PDF]

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective.
Yuxin Dong, Tieliang Gong, Hong Chen, Mengxiang Li, Zhongjiang He, Shuangyong Song, Chen Li. International Conference on Machine Learning. 2024. [Link] [PDF] [Code]

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds.
Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li. International Conference on Learning Representations. 2024. [Link] [PDF] [Code]

Optimal Randomized Approximations for Matrix-based Rényi's Entropy.
Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li. IEEE Transactions on Information Theory. 2023. [Link] [PDF]

Robust and Fast Measure of Information via Low-Rank Representation.
Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li. AAAI Conference on Artificial Intelligence. 2023. [Link] [PDF] [Code]

Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data.
Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li. IEEE Transactions on Neural Networks and Learning Systems. 2023. [Link] [PDF]

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.
Tieliang Gong^*, Yuxin Dong^*, Shujian Yu, Bo Dong. IEEE Transactions on Signal Processing. 2022. [Link] [PDF]

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.
Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li. AAAI Conference on Artificial Intelligence. 2022. [Link] [PDF]

Markov Subsampling Based on Huber Criterion.
Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li. IEEE Transactions on Neural Networks and Learning Systems. 2022. [Link] [PDF]

A storage scheme for extremely large image files. Chen Li, Yuxin Dong, Pargorn Puttapirat, Jingyi Deng. Chinese Invention Patent. 2021. [Certificate]

China Mobile Outstanding Scholarship (Top 7 in Xi’an Jiaotong University), 2023.
National Postgraduate Scholarship (Top 3 in School of Computer Science and Technology), 2023. [Link] [Certificate]
Excellent Postgraduate Award, Xi’an Jiaotong University, 2023. [Certificate]
Excellent Undergraduate Thesis Award (Top 10 in School of Computer Science and Technology), Xi’an Jiaotong University, 2019. [Certificate]
Silver Medal (Top 30%), The 2017 ACM-CCPC Haerbin Regional Contest. [Link] [Medal] [Certificate]
Silver Medal (Top 25%), The 2017 ACM-ICPC Asia Beijing Regional Contest. [Link] [Medal] [Certificate]
National First Prize (Top 0.6%), Contemporary Undergraduate Mathematical Contest in Modeling, 2017. [Link] [Certificate]