Hi! My name is Chendi Qian. I am a Ph.D. student at RWTH Aachen University, supervised by Prof. Dr. Christopher Morris. Previously I earned my Master of Science degree from the Technical University of Munich, under the guidance of Prof. Dr. Stephan Günnemann. Prior to that, I completed my Bachelor of Engineering at Zhejiang University, with my thesis supervised by Prof. Dr. Ronghao Zheng. I am particularly interested in the field of graph machine learning, encompassing both its theoretical foundations and practical applications.
@inproceedings{gasteiger2022influence,title={Influence-based mini-batching for graph neural networks},author={Gasteiger, Johannes and Qian, Chendi and G{\"u}nnemann, Stephan},booktitle={Learning on Graphs Conference},pages={9--1},year={2022},organization={PMLR},note={<span style="color:red;">Spotlight</span>}}
@misc{qian2023probabilistically,title={Probabilistically Rewired Message-Passing Neural Networks},author={Qian, Chendi and Manolache, Andrei and Ahmed, Kareem and Zeng, Zhe and Van den Broeck, Guy and Niepert, Mathias and Morris, Christopher},journal={arXiv preprint arXiv:2310.02156},year={2023},}
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
Chendi Qian, Didier Chételat, and Christopher Morris
In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 2024
Principled data augmentation for learning to solve quadratic programming problemsAdvances in Neural Information Processing Systems, 2025Spotlight
