Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. - Zhengying Liu; Zhen Xu 007; Shangeth Rajaa; Meysam Madadi; Júlio C. S. Jacques Júnior; Sergio Escalera; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu; Isabelle Guyon (NeurIPS (Competition and Demos), 2019)

AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. - Jingsong Wang; Tom Ko; Zhen Xu 007; Xiawei Guo; Souxiang Liu; Wei-Wei Tu; Lei Xie (INTERSPEECH, 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 007; Isabelle Guyon (NeurIPS (Competition and Demos), 2020)

Towards automated computer vision: analysis of the AutoCV challenges 2019. - Zhengying Liu; Zhen Xu 007; Sergio Escalera; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu (Pattern Recognit. Lett., 2020)

Didn't see that coming: a survey on non-verbal social human behavior forecasting. - Germán Barquero; Johnny Núñez; Sergio Escalera; Zhen Xu 007; Wei-Wei Tu; Isabelle Guyon; Cristina Palmero (DYAD@ICCV, 2021)

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. - Germán Barquero; Johnny Núñez; Zhen Xu 007; Sergio Escalera; Wei-Wei Tu; Isabelle Guyon; Cristina Palmero (DYAD@ICCV, 2021)

AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. - Zhen Xu 007; Wei-Wei Tu; Isabelle Guyon (ECML/PKDD (5), 2021)

Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. - Zhen Xu 007; Huan Zhao 002; Wei-Wei Tu; Magali Richard; Sergio Escalera; Isabelle Guyon (CoRR, 2021)

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. - Zhengying Liu; Adrien Pavao; Zhen Xu 007; Sergio Escalera; Fabio Ferreira; Isabelle Guyon; Sirui Hong; Frank Hutter; Rongrong Ji; Júlio C. S. Jacques Júnior; Ge Li; Marius Lindauer; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (CoRR, 2022)

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. - Zhen Xu 007; Lanning Wei; Huan Zhao 002; Rex Ying; Quanming Yao; Wei-Wei Tu; Isabelle Guyon (Frontiers Artif. Intell., 2022)

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. - Zhen Xu 007; Sergio Escalera; Adrien Pavão; Magali Richard; Wei-Wei Tu; Quanming Yao; Huan Zhao 002; Isabelle Guyon (Patterns, 2022)

AI Competitions and Benchmarks: towards impactful challenges with post-challenge papers, benchmarks and other dissemination actions. - Antoine Marot; David Rousseau; Zhen Xu 007 (CoRR, 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 007 (J. Mach. Learn. Res., 2023)

Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. - Zhen Xu 007; Quanming Yao; Yong Li 008; Qiang Yang 001 (Trans. Mach. Learn. Res., 2023)

Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. - Juzheng Zhang; Lanning Wei; Zhen Xu 007; Quanming Yao (KDD, 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 007; Isabelle Guyon; Nihar B. Shah (CoRR, 2024)

When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework. - Zhen Xu 007; Shang Zhu; Jue Wang; Junlin Wang; Ben Athiwaratkun; Chi Wang; James Zou 001; Ce Zhang 001 (CoRR, 2025)