Chenglong Ye

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Kernel Ridge Regression

Search Results Clustering

Collaborative Learning

Top Venues

IEEE Trans. Inf. Theory

Int. J. Fuzzy Syst.

J. Comput. Graph. Stat.

Publications

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 (2024)
Zeya Wang, Chenglong Ye
Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures. CoRR (2024)
Chenglong Ye, Reza Ghanadan, Jie Ding
Meta Clustering for Collaborative Learning. J. Comput. Graph. Stat. 32 (3) (2023)
Boxiang Wang, Yunan Wu, Chenglong Ye
The ART of Transfer Learning: An Adaptive and Robust Pipeline. CoRR (2023)
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) (2023)
Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye
Locally Adaptive and Differentiable Regression. CoRR (2023)
Mingxuan Han, Chenglong Ye, Jeff M. Phillips
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression. Trans. Mach. Learn. Res. 2022 (2022)
Chenglong Ye, Jie Ding, Reza Ghanadan
Meta Clustering for Collaborative Learning. CoRR (2020)
Chenglong Ye, Yuhong Yang
High-Dimensional Adaptive Minimax Sparse Estimation With Interactions. IEEE Trans. Inf. Theory 65 (9) (2019)