Dong, Yuxin

9 publications

ICLR 2026 Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts Hanwen Du, Yuxin Dong, Xia Ning

ICLR 2026 Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations Yuxin Dong, Jiachen Jiang, Zhihui Zhu, Xia Ning

ICML 2025 Exactly Tight Information-Theoretic Generalization Bounds via Binary Jensen-Shannon Divergence Yuxin Dong, Haoran Guo, Tieliang Gong, Wen Wen, Chen Li

IJCAI 2024 DP-Font: Chinese Calligraphy Font Generation Using Diffusion Model and Physical Information Neural Network Liguo Zhang, Yalong Zhu, Achref Benarab, Yusen Ma, Yuxin Dong, Jianguo Sun

ICLR 2024 Rethinking Information-Theoretic Generalization: Loss Entropy Induced PAC Bounds Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

ICML 2024 Towards Generalization Beyond Pointwise Learning: A Unified Information-Theoretic Perspective Yuxin Dong, Tieliang Gong, Hong Chen, Zhongjiang He, Mengxiang Li, Shuangyong Song, Chen Li

AAAI 2023 Robust and Fast Measure of Information via Low-Rank Representation Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

IJCAI 2023 Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective Yuxin Dong, Tieliang Gong, Hong Chen, Chen Li

AAAI 2022 Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li