Zhen Xu

According to our database, Zhen Xu authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework.

Zhen Xu, Shang Zhu, Jue Wang, Junlin Wang, Ben Athiwaratkun, Chi Wang, James Zou, Ce Zhang

CoRR, June, 2025

2024

Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment.

Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, Benedictus Kent Rachmat, Zhen Xu, Isabelle Guyon, Nihar B. Shah

CoRR, 2024

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction.

Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks.

Zhen Xu, Quanming Yao, Yong Li, Qiang Yang

Trans. Mach. Learn. Res., 2023

CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges.

Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu

J. Mach. Learn. Res., 2023

AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions.

Antoine Marot, David Rousseau, Zhen Xu

CoRR, 2023

2022

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform.

Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon

Patterns, 2022

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020.

Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon

Frontiers Artif. Intell., 2022

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020.

Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon

CoRR, 2022

2021

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019.

Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone.

Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon

CoRR, 2021

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge.

Zhen Xu, Wei-Wei Tu, Isabelle Guyon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios.

Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

Didn't see that coming: a survey on non-verbal social human behavior forecasting.

Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero

Proceedings of the ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, 2021

2020

Towards automated computer vision: analysis of the AutoCV challenges 2019.

Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu

Pattern Recognit. Lett., 2020

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.

Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification.

Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019.

Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019