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:

Education

News

Publications (* = equal contribution)

RL
[ Paper ] [Under Review at ACML 24] [Code]
Semantics
[ Paper ] [Under Review at CoNLL 24] [Code]
GNN Benchmarking
[ Paper ] [Under Review at NeurIPS 24] [Code]
Could Chemical Models Benefit from Message Passing
Jiaqing Xie*, Ziheng Chi*
[ Paper ][Code]
23rd International Workshop on Data Mining in Bioinformatics (BIOKDD24)
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)

Graduate and Undergraduate Projects

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

Energy based Graph OOD Detection
[ Meeting ]
Jiaqing Xie
Supervised by Prof. Wei Jin, Jun 2024
Robustness of OOD Detection
[ Meeting ]
Jiaqing Xie
Supervised by Prof. Wei Jin, May 2024
Benchmarking Positional Encodings for Graph Transformers
[ ][ Semester Project ]
Jiaqing Xie
Department of Information Technology and Electrical Engineering, ETH
Pragmatic Language Interpretation as Probabilistic Inference
[ ETH CSNLP ]
Jiaqing Xie, Di Zhuang, May 2024
Conducting Qualitative Interviews with AI
[ ETH LM-LSS ][ Essay 1 ][ Essay 2 ]
Jiaqing Xie, Jiugeng Sun, Apr 2024
ETH Zurich
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, March 2024
Design Space for Graph Neural Networks
[ NeurIPS 2020 ][ ETH ADLG ]
Ziheng Chi, Jiaqing Xie, Dec 2023
Private learner and online learner are equivalent
[ FOCS 2020 best paper ][ ETH GuaranteeML ]
Yucheng Sun, Jiaqing Xie, Dec 2023

Others

Optical Receiver Design
Jiaqing Xie, 2022
UG Thesis: Improved Autoguides for Probabilistic Programs
Jiaqing Xie, 2022, Supervised by Prof. Siddharth Narayanaswamy
TransportED: A Transport Warehouse Robot
Jiaqing Xie, 2021
Solving TSP Problems
Jiaqing Xie, 2020
Improvements on Seq2Seq Model for Machine Translation
Jiaqing Xie, 2020

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
    Machine Learning Journal ACML 2024