| Prototype Augmentation and Self-Supervision for Incremental Learning F Zhu, XY Zhang, C Wang, F Yin, CL Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 420 | 2021 |
| Region graph partition function expansion and approximate free energy landscapes: Theory and some numerical results H Zhou, C Wang Journal of Statistical Physics 148 (3), 513-547, 2012 | 40 | 2012 |
| RANDOMIZED KACZMARZ ALGORITHMS: EXACT MSE ANALYSIS AND OPTIMAL SAMPLING PROBABILITIES A Agaskar, C Wang, YM Lu IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 | 36 | 2014 |
| Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA C Wang, J Mattingly, YM Lu arXiv:1712.04332, 2017 | 29 | 2017 |
| Topologically invariant tensor renormalization group method for the Edwards-Anderson spin glasses model C Wang, SM Qin, HJ Zhou Physical Review B 90 (17), 174201, 2014 | 29 | 2014 |
| Online Learning for Sparse PCA in High Dimensions: Exact Dynamics and Phase Transitions C Wang, YM Lu 2016 IEEE Information Theory Workshop (ITW), 186-190, 2016 | 26 | 2016 |
| Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis C Wang, YC Eldar, YM Lu IEEE Journal of Selected Topics in Signal Processing 12 (6), 1240-1252, 2018 | 23 | 2018 |
| A Solvable High-Dimensional Model of GAN C Wang, H Hu, YM Lu Neural Information Processing Systems, 13759-13768, 2019 | 18 | 2019 |
| Deep representation learning for domain generalization with information bottleneck principle J Zhang, XY Zhang, C Wang, CL Liu Pattern Recognition 143, 109737, 2023 | 17 | 2023 |
| The Scaling Limit of High-Dimensional Online Independent Component Analysis C Wang, YM Lu Advances in Neural Information Processing Systems (NIPS), 2017 | 16 | 2017 |
| Randomized Kaczmarz algorithm for inconsistent linear systems: An exact MSE analysis C Wang, A Agaskar, YM Lu Sampling Theory and Applications (SampTA), 2015 International Conference on …, 2015 | 15 | 2015 |
| Towards prior gap and representation gap for long-tailed recognition ML Zhang, XY Zhang, C Wang, CL Liu Pattern Recognition 133, 109012, 2023 | 11 | 2023 |
| Partition function expansion on region graphs and message-passing equations H Zhou, C Wang, JQ Xiao, Z Bi Journal of Statistical Mechanics: Theory and Experiment 2011 (12), L12001, 2011 | 9 | 2011 |
| Class incremental learning with self-supervised pre-training and prototype learning W Liu, XJ Wu, F Zhu, MM Yu, C Wang, CL Liu Pattern Recognition 157, 110943, 2025 | 8 | 2025 |
| Simplifying Generalized Belief Propagation on Redundant Region Graphs C Wang, HJ Zhou Journal of Physics: Conference Series 473, 012004, 2013 | 8 | 2013 |
| Ground-state configuration space heterogeneity of random finite-connectivity spin glasses and random constraint satisfaction problems H Zhou, C Wang Journal of Statistical Mechanics: Theory and Experiment 2010 (10), P10010, 2010 | 8 | 2010 |
| Proxy Graph Matching with Proximal Matching Networks HR Tan, C Wang, ST Wu, TQ Wang, XY Zhang, CL Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9808-9815, 2021 | 7 | 2021 |
| Cavity Method: Message Passing from a Physics Perspective G Del Ferraro, C Wang, D Martí, M Mézard Statistical Physics, Optimization, Inference and Message-passing Algorithms …, 2015 | 7 | 2015 |
| Latent Neural Operator for Solving Forward and Inverse PDE Problems T Wang, C Wang 2024 Neural Information Processing Systems (NeurIPS), 2024 | 6 | 2024 |
| Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition HY Guo, C Wang, F Yin, HY Liu, JW Wu, CL Liu 2022 26th International Conference on Pattern Recognition (ICPR), 847-854, 2022 | 6 | 2022 |
Cheng-Lin LiuInstitute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
