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ORCIDZhen Xu 0007
Person information
- affiliation: 4Paradigm, Beijing, China
Other persons with the same name
- Zhen Xu — disambiguation page
- Zhen Xu 0001
![[0000-0002-5162-1224]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5162-1224")
— Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China - Zhen Xu 0002 — Hong Kong University of Science and Technology
- Zhen Xu 0003 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Zhen Xu 0004 — National University of Defense Technology, Hunan, China
- Zhen Xu 0005 — Beihang University, School of Electronic and Information Engineering, China
- Zhen Xu 0006 — Google Inc., Mountain View, CA, USA
- Zhen Xu 0008 — Zhejiang University, State Key Laboratory of CAD&CG, China
- Zhen Xu 0009 — University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China (and 1 more)
- Zhen Xu 0010 — University of Science and Technology Beijing, Department of Civil and Resource Engineering, China (and 1 more)
- Zhen Xu 0011 — Shanghai Jiao Tong University, Department of Electronic Engineering, IWCT, China
- Zhen Xu 0012 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
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Journal Articles
- 2023
[j6]Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu:
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges. J. Mach. Learn. Res. 24: 198:1-198:6 (2023)- [j5]Zhen Xu, Quanming Yao, Yong Li, Qiang Yang:
Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j4]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022) - [j3]Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon:
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3(7): 100543 (2022) - 2021
- [j2]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:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021) - 2020
- [j1]Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu:
Towards automated computer vision: analysis of the AutoCV challenges 2019. Pattern Recognit. Lett. 135: 196-203 (2020)
Conference and Workshop Papers
- 2024
- [c7]Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao:
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. KDD 2024: 4223-4231 - 2021
- [c6]Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. DYAD@ICCV 2021: 107-138 - [c5]Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Didn't see that coming: a survey on non-verbal social human behavior forecasting. DYAD@ICCV 2021: 139-178 - [c4]Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. ECML/PKDD (5) 2021: 36-51 - 2020
- [c3]Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie:
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. INTERSPEECH 2020: 1967-1971 - [c2]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) 2020: 3-26 - 2019
- [c1]Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon:
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS (Competition and Demos) 2019: 242-252
Informal and Other Publications
- 2024
- [i9]Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao:
Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. CoRR abs/2406.07979 (2024) - 2022
- [i8]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:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022) - [i7]Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Didn't see that coming: a survey on non-verbal social human behavior forecasting. CoRR abs/2203.02480 (2022) - [i6]Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. CoRR abs/2203.03245 (2022) - [i5]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR abs/2204.02625 (2022) - 2021
- [i4]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR abs/2104.10201 (2021) - [i3]Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. CoRR abs/2107.13186 (2021) - [i2]Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon:
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR abs/2110.05802 (2021) - 2020
- [i1]Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie:
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification. CoRR abs/2010.13130 (2020)
Coauthor Index
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