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2020 – today
- 2024
[i5]Zeya Wang, Chenglong Ye:
Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures. CoRR abs/2403.14830 (2024)- [i4]Zhou Yang, Zhaochun Ren, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao:
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory. CoRR abs/2406.02642 (2024) - 2023
- [j4]Chenglong Ye, Guanzheng Zhang
, Feng Li, Jing Wang, Hao Shen:
$\varvec{H}_{{\mathbf{\infty }}}$ Control for Interval Type-2 Fuzzy Singularly Perturbed Nonlinear Systems with Markov Jumping Parameters. Int. J. Fuzzy Syst. 25(7): 2712-2721 (2023) - [j3]Chenglong Ye, Reza Ghanadan, Jie Ding:
Meta Clustering for Collaborative Learning. J. Comput. Graph. Stat. 32(3): 1160-1169 (2023) - [i3]Boxiang Wang, Yunan Wu, Chenglong Ye:
The ART of Transfer Learning: An Adaptive and Robust Pipeline. CoRR abs/2305.00520 (2023) - [i2]Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye:
Locally Adaptive and Differentiable Regression. CoRR abs/2308.07418 (2023) - 2022
- [j2]Mingxuan Han, Chenglong Ye, Jeff M. Phillips:
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression. Trans. Mach. Learn. Res. 2022 (2022) - 2020
- [i1]Chenglong Ye, Jie Ding, Reza Ghanadan:
Meta Clustering for Collaborative Learning. CoRR abs/2006.00082 (2020)
2010 – 2019
- 2019
- [j1]Chenglong Ye, Yuhong Yang:
High-Dimensional Adaptive Minimax Sparse Estimation With Interactions. IEEE Trans. Inf. Theory 65(9): 5367-5379 (2019)
Coauthor Index
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