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Jiaqing Xie I am a third-year MSc student in Computer Science at ETH Zurich. Previously, I obtained my B.Eng. in Electronics and Computer Science at The University of Edinburgh in 2022 . I am closely working with the following professors Tianfan Fu @ RPI, Yue Zhao @ USC, Roger Wattenhofer @ ETHZ, and Mrinmaya Sachan @ ETHZ. |
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ResearchI'm interested the following areas: |
Competitive Programming ELO + Kaggle since 2025CodeForces: 1279, February 2025 Nowcoder: 2080, February 2025 Kaggle: ( 0 🥇 0 🥈 1 🥉) 2024 Santa 🥉 (125 / 1525) |
Rsearch Papers |
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Benchmarking Positional Encodings for GNNs and Graph Transformers
Florian Grotschla, Jiaqing Xie, Roger Wattenhofer ArXiv Learning on Graphs Conference 2024 Aachen Local Meetup arXiv / code
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DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
Jiaqing Xie, Yue Zhao, Tianfan Fu Under Review @ Bioinformatics, NeurIPS AI4DrugX Spotlight, 2024 arXiv / Library Applications in Protein Property Prediction, Localization Prediction, Protein-Protein Interaction, antigen epitope prediction, antibody paratope prediction, antibody developability prediction, etc. |
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Graph Structure Learning via Lottery Hypothesis at Scale
Yuxin Wang, Jiaqing Xie, Zhangyue Yin, Xiannian Hu, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang Asian Conference on Machine Learning, 2023 PMLR / Code Graph Structure Learning with Lottery Hypothesis shows robustness against graph attack. |
Workshop Papers |
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Could Chemical Language Models benefit from Message Passing
Jiaqing Xie, Ziheng Chi Proceedings of the 1st Workshop on Language + Molecules, ACL 2024 ACL Anthology / Code How Graph Neural Networks could help pretrained Chemical LLMs learn features. |
Theoretical Computer Science |
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An Equivalence Between Private Classification and
Online Prediction: Proof Sketch and Extension
ETH Guarantee for Machine Learning Jiaqing Xie, Yucheng Sun
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Thank Dr. Jon Barron for sharing the source code of his personal page. |