Jialei Chen

According to our database, Jialei Chen authored at least 21 papers between 2018 and 2024.

Collaborative distances:

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

2024

Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation.

Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Hiroshi Murase

CoRR, 2024

Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles.

Chenkai Zhang, Daisuke Deguchi, Jialei Chen, Hiroshi Murase

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Pedestrian's Gaze Object Detection in Traffic Scene.

Hiroto Murakami, Jialei Chen, Daisuke Deguchi, Takatsugu Hirayama, Yasutomo Kawanishi, Hiroshi Murase

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Automatic skin lesion classification using a novel densely connected convolutional network integrated with an attention module.

Pufang Shan, Jialei Chen, Chong Fu, Lin Cao, Ming Tie, Chiu-Wing Sham

J. Ambient Intell. Humaniz. Comput., July, 2023

Convolutional Neural Network-Assisted Adaptive Sampling for Sparse Feature Detection in Image and Video Data.

Geet Lahoti, Chitta Ranjan, Jialei Chen, Hao Yan, Chuck Zhang

IEEE Intell. Syst., 2023

CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation.

Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Xu Zheng, Hiroshi Murase

CoRR, 2023

Project Florida: Federated Learning Made Easy.

Daniel Madrigal Diaz, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim

CoRR, 2023

Scientific Reading Comprehension with Sentences Selection and Ranking.

Jialei Chen, Weihua Wang, Shuai Shao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Deep Generative Imputation Model for Missing Not At Random Data.

Jialei Chen, Yuanbo Xu, Pengyang Wang, Yongjian Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Federated Multilingual Models for Medical Transcript Analysis.

Andre Manoel, Mirian del Carmen Hipolito Garcia, Tal Baumel, Shize Su, Jialei Chen, Robert Sim, Dan Miller, Danny Karmon, Dimitrios Dimitriadis

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties.

Hongzhen Tian, Andi Wang, Jialei Chen, Xuzhou Jiang, Jianjun Shi, Chuck Zhang, Yajun Mei, Ben Wang

IEEE Trans Autom. Sci. Eng., 2022

Online detection of cyber-incidents in additive manufacturing systems via analyzing multimedia signals.

Wei Yang, Jialei Chen, Chuck Zhang, Kamran Paynabar

Qual. Reliab. Eng. Int., 2022

APIK: Active Physics-Informed Kriging Model with Partial Differential Equations.

Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu

SIAM/ASA J. Uncertain. Quantification, 2022

A calibration-free method for biosensing in cell manufacturing.

Jialei Chen, Zhaonan Liu, Kan Wang, Chen Jiang, Chuck Zhang, Ben Wang

IISE Trans., 2022

Uncertainty-aware deep co-training for semi-supervised medical image segmentation.

Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham

Comput. Biol. Medicine, 2022

Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation.

Jialei Chen, Chong Fu, Haoyu Xie, Xu Zheng, Rong Geng, Chiu-Wing Sham

Comput. Biol. Medicine, 2022

2021

Engineering-Driven Learning Approaches for Bio-Manufacturing and Personalized Medicine.

Jialei Chen

PhD thesis, 2021

Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues.

Jialei Chen, Simon Mak, V. Roshan Joseph, Chuck Zhang

Technometrics, 2021

Active Image Synthesis for Efficient Labeling.

Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2019

AVP: Physics-informed Data Generation for Small-data Learning.

Jialei Chen, Yujia Xie, Kan Wang, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian

CoRR, 2019

2018

Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation.

Jialei Chen, Yujia Xie, Kan Wang, Zih Huei Wang, Geet Lahoti, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018