Hongyi Ling [凌弘毅]
Ph.D. Student, Texas A&M University
hongyiling [AT] tamu.edu
Bio
I am currently seeking a research internship for the summer of 2024. Feel free to contact me if you would like to offer good opportunities!
Howdy! I am currently a 3rd year Ph.D. student in the Department of Computer Science & Engineering, Texas A&M University. My advisor is Prof. Shuiwang Ji, who leads the Data Integration, Visualization, and Exploration (DIVE) Laboratory. Before coming to TAMU, I received my master's degree from the University of California San Diego. Prior to that, I got my bachelor’s degree from the Department of Computer Science and Technology, Nanjing University in 2019, advised by Prof. Limin Wang. Here is my résumé.
My research interests are deep learning and machine learning. Specifically, I am currently working on graph deep learning, trustworthy AI, fairness, and causal machine learning.
News
Publications [Google Scholar]
* indicates equal contribution, and ** indicates equal senior contribution.2023
Graph Mixup with Soft Alignments
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji**, Na Zou**
International Conference on Machine Learning (ICML), 2023
Learning Fair Graph Representations via Automated Data Augmentations
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji**, Na Zou**
International Conference on Learning Representations (ICLR), 2023
Spotlight/Notable-top-25% (8.0% acceptance rate)
Preprint
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Xuan Zhang*, Limei Wang*, Jacob Helwig*, Youzhi Luo*, Cong Fu*, Yaochen Xie*, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, YuQing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Cong Fu*, Xuan Zhang*, Huixin Zhang, Hongyi Ling, Shenglong Xu, Shuiwang Ji
Services
Program Committee Member & Reviewer [Selected]
International Conference on Learning Representations (ICLR) 2024
International Conference on Machine Learning (ICML) 2023
Conference on Neural Information Processing System (NeurIPS) 2023
Learning on Graphs Conference (LoG) 2023
Transactions on Intelligent Systems and Technology (ACM TIST)
Résumé
Here is my résumé.
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Texas A&M University Aug 2019 - now
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University of California San Diego Sep 2019 - Jun 2021M.S. Student
Computer Science & Engineering -
Amazon Web Services Summer 2020Software Development Engineer Intern
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Nanjing University Sep 2015 - Jun 2019