Quanlin Chen

According to our database, Quanlin Chen authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing Trust-Region Bayesian Optimization via Newton Methods.

Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen

CoRR, August, 2025

HARFormer: A Masked Self-Supervised Transformer-Based Model for Human Activity Recognition With Predicting Somatosensory Tokens.

Quanlin Chen, Dehua Lu, Weisen Feng, Chunjin Ye, Lina Qiu, Jiahui Pan, Jingcong Li

IEEE Trans. Instrum. Meas., 2025

HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization.

Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao

Proceedings of the International Joint Conference on Neural Networks, 2025

A Novel Perspective on Leveraging Hubness in VAE for Eliminating Representative Shift Vectors in Few-Shot Learning.

Quanlin Chen, Chunjin Ye, Yiming Ma, Jiahui Pan, Jingcong Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization.

Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

TF-ChineseECE: A Chinese Event Causality Extraction Method Combining Roberta and Bi-FLASH-SRU.

Quanlin Chen, Jun Jia, Shuo Fan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Chinese Event Extraction with Small-Scale Language Model.

Quanlin Chen, Jun Jia, Shuo Fan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2021

Non-monotonic Value Function Factorization for Deep Multi-Agent Reinforcement Learning.

Quanlin Chen

CoRR, 2021