Jiaqing Xie

[ Curriculum Vitae ] [ Github ] [ Google Scholar ]

Hi! I'm a MSc CS student @ ETH Zurich. My broad research interests lie in Theoretical Machine Learning and Graph Algorithms, which include:

GraphAI4Science and Theory of Graph Neural Networks
Machine Learning Theory

Education

Swiss Federal Institute of Technology Zurich, MSCS, Major: Theoretical Computer Science, 2022 - present
University of Edinburgh, B.Eng. (Hons) in Electronics & Computer Science, 2019 - 2022
Huazhong University of Science and Technology, B.Eng. in Electronic Science and Tech, 2017 - 2019, Transferred

Publications (* = equal contribution)

Graph Structure Learning via Lottery Hypothesis at Scale

[ Paper ][ Code ][ Presentation ]
Yuxin Wang, Xiannian Hu*, Jiaqing Xie*, Zhangyue Yin*, Yunhua Zhou, Xipeng Qiu , Xuanjing Huang
The 15th Asian Conference on Machine Learning (ACML23)

Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks

[ Paper ][ Code ]
Jiaqing Xie , Rex Ying
The 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD21)

Variational Autoencoder for Anti-Cancer Drug Response Prediction

[ Paper ][ Code ]
Jiaqing Xie * , Hongyuan Dong *, Zhi Jing, Dexin Ren
AI for Public Health Workshop
The Ninth International Conference on Learning Representations (ICLR21)

Improved Autoguides for Probabilistic Programs

[ Paper ]
Jiaqing Xie
School of Informatics, University of Edinburgh

Graduate and Undergraduate Projects

LM-MPNN: An Integration Study of Language Models and Message Passing Networks on Quantum Chemistry

[ Paper ] [Extended COLM24 Version] [Code]
Jiaqing Xie*, Ziheng Chi*
Natural Language Processing, ETH Zurich

An Equivalence Between Private Classification and Online Prediction: Proof Sketch and Extension

[ Paper ]
Jiaqing Xie*, Yucheng Sun*
Guarantee for Machine Learning, ETH Zurich

Knowledge Graph and 3D Graph Mining with Graph Neural Networks

[ ADLG23 Proj1 ][ ADLG23 Proj2 ]
Jiaqing Xie*, Ziheng Chi*, Federico Felizzi*
Applications of Deep Learning on Graphs, ETH Zurich

CADA-GAN: Context-Aware GAN with Data Augmentation

[ Paper ][Code]
Sofie Daniels*, Jiugeng Sun*, Jiaqing Xie*
Deep Learning, ETH Zurich

SFM-Opt: Improvement on Social Force Model with Code-level Optimization

[ Paper ][Code]
Jiajun Jiang*, Kehong Liu*, Jiaqing Xie*, Peiyuan Xie*
Advanced System Lab, ETH Zurich

ETH Information Security Lab

[ Code Base ]

Autonomous Drone Route Design with A* Search

Jiaqing Xie
Informatics Large Practical, School of Informatics, University of Edinburgh

Presentation

[ ][ ETH CSNLP ]

[ ][ ETH LM-LSS ]

[ ][ SP Disco ETH ITET ]

Graph Inductive Biases in Transformers without Message Passing

[ ICML 2023 ][ ETH Seminar in DNN 2024 ] [ Version 2 ]
Jiaqing Xie
Department of Information Technology and Electrical Engineering, ETH

Design Space for Graph Neural Networks

[ NeurIPS 2020 ][ ETH ADLG ]
Ziheng Chi, Jiaqing Xie

Private learner and online learner are equivalent

[ FOCS 2020 best paper ][ ETH GuaranteeML ]
Yucheng Sun, Jiaqing Xie

Useful Links

Optimization

Optimization for Data Science: ETH & EPFL

Graph Neural Network

Graph Representation Learning [William Hamilton]

Learning Graph Neural Networks

Blog

Foundations of Machine Learning

Academic Service

Temporal Graph Learning Workshop @ NeurIPS 2023