Chenglong Ye

According to our database, Chenglong Ye authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory.

Zhou Yang, Zhaochun Ren, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao

CoRR, 2024

Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures.

Zeya Wang, Chenglong Ye

CoRR, 2024

2023

$\varvec{H}_{{\mathbf{\infty }}}$ Control for Interval Type-2 Fuzzy Singularly Perturbed Nonlinear Systems with Markov Jumping Parameters.

Chenglong Ye, Guanzheng Zhang, Feng Li, Jing Wang, Hao Shen

Int. J. Fuzzy Syst., October, 2023

Meta Clustering for Collaborative Learning.

Chenglong Ye, Reza Ghanadan, Jie Ding

J. Comput. Graph. Stat., 2023

Locally Adaptive and Differentiable Regression.

Mingxuan Han, Varun Shankar, Jeff M. Phillips, Chenglong Ye

CoRR, 2023

The ART of Transfer Learning: An Adaptive and Robust Pipeline.

Boxiang Wang, Yunan Wu, Chenglong Ye

CoRR, 2023

2022

Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression.

Mingxuan Han, Chenglong Ye, Jeff M. Phillips

Trans. Mach. Learn. Res., 2022

2019

High-Dimensional Adaptive Minimax Sparse Estimation With Interactions.

Chenglong Ye, Yuhong Yang

IEEE Trans. Inf. Theory, 2019