Kaiwen Deng

According to our database, Kaiwen Deng authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

CoRR, 2023

2022

Research on Evaluation of Intelligent Manufacturing Capability and Layout Superiority of Supply Chains by Big Data Analysis.

Kaiwen Deng

J. Glob. Inf. Manag., 2022

An Improved Lightweight Network Based on MobileNetV3 for Palmprint Recognition.

Kaijun Zhou, Kaiwen Deng, Peng Chen, Yiliang Hu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

Retrospective on the SENSORIUM 2022 competition.

Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Hansel, Christoph Blessing, Konstantin-Klemens Lurz, Max F. Burg, Santiago A. Cadena, Zhiwei Ding, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

Proceedings of the NeurIPS 2022 Competition Track, 2021

Multimodal single cell data integration challenge: Results and lessons learned.

Christopher Lance, Malte D. Lücken, Daniel B. Burkhardt, Robrecht Cannoodt, Pia Rautenstrauch, Anna Laddach, Aidyn Ubingazhibov, Zhi-Jie Cao, Kaiwen Deng, Sumeer Khan, Qiao Liu, Nikolay Russkikh, Gleb Ryazantsev, Uwe Ohler, Angela Oliveira Pisco, Jonathan Bloom, Smita Krishnaswamy, Fabian J. Theis

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease.

Hanrui Zhang, Kaiwen Deng, Hongyang Li, Roger L. Albin, Yuanfang Guan

Patterns, 2020

2019

Part-guided Network for Pedestrian Attribute Recognition.

Haoran An, Haonan Fan, Kaiwen Deng, Hai-Miao Hu

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019