Chenxiao Yang
(杨晨晓)

Master Student
Shanghai Jiao Tong University
chr26195 [at] sjtu (dot) edu (dot) cn

I am an incoming PhD student at Toyota Technological Insitute at Chicago where I will be working with Zhiyuan Li. Before this, I was a research intern at Amazon Web Services (AI Shanghai Lablet) working with David Wipf. I completed my Master’s degree at Shanghai Jiao Tong University in 2024, under the supervision of Junchi Yan. I also earned my Bachelor’s degree at Shanghai Jiao Tong University in 2021. My research interests include machine learning theory, graph neural networks, and large language models, among other topics.

Selected Publications

(Full list of publications can be found in Google Scholar)

ICML'24

How Graph Neural Networks Learn: Lessons from Training Dynamics

Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan

International Conference on Machine Learning (ICML), 2024.

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ICLR'23

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs

Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan

International Conference on Learning Representations (ICLR), 2023.

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ICLR'23

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion

Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan

International Conference on Learning Representations (ICLR), 2023.

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NeurIPS'22

Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks

Chenxiao Yang, Qitian Wu, Junchi Yan

Advances in Neural Information Processing Systems (NeurIPS), 2022.

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NeurIPS'22

Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment

Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan

Advances in Neural Information Processing Systems (NeurIPS), 2022.

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