Linus Manubens-Gil, Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu, Alessandro Bria, Todd Gillette, Zongcai Ruan, Jian Yang, Miroslav Radojević, Ting Zhao, Li Cheng, Lei Qu, Siqi Liu, Kristofer E Bouchard, Lin Gu, Weidong Cai, Shuiwang Ji, Badrinath Roysam, Ching-Wei Wang, Hongchuan Yu, Amos Sironi, Daniel Maxim Iascone, Jie Zhou, Erhan Bas, Eduardo Conde-Sousa, Paulo Aguiar, Xiang Li, Yujie Li, Sumit Nanda, Yuan Wang, Leila Muresan, Pascal Fua, Bing Ye, Hai-yan He, Jochen F Staiger, Manuel Peter, Daniel N Cox, Michel Simonneau, Marcel Oberlaender, Gregory Jefferis, Kei Ito, Paloma Gonzalez-Bellido, Jinhyun Kim, Edwin Rubel, Hollis T Cline, Hongkui Zeng, Aljoscha Nern, Ann-Shyn Chiang, Jianhua Yao, Jane Roskams, Rick Livesey, Janine Stevens, Tianming Liu, Chinh Dang, Yike Guo, Ning Zhong, Georgia Tourassi, Sean Hill, Michael Hawrylycz, Christof Koch, Erik Meijering, Giorgio A Ascoli, Hanchuan Peng
(2023).
BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology.
Nature Methods, 1-12.
Baochun Bai, Li Cheng, Cheng Lei, Pierre Boulanger, Janelle Harms
(2009).
Learning-based multiview video coding.
Proc. of the 27th Picture Coding Symposium (PCS).
Li Cheng, S. V. N. Vishwanathan
(2007).
Learning to compress images and videos.
Proceedings of the 24th international conference on Machine learning (ICML).
Tiberio Caetano, Li Cheng, Quoc Le, Alex Smola
(2007).
Learning Graph Matching.
IEEE International Conference on Computer Vision (ICCV).
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
(2005).
Variational Bayesian image modelling.
Proceedings of the 22nd international conference on Machine learning (ICML).