Jierun Chen

According to our database, Jierun Chen authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models.

Jierun Chen, Fangyun Wei, Jinjing Zhao, Sizhe Song, Bohuai Wu, Zhuoxuan Peng, S.-H. Gary Chan, Hongyang Zhang

CoRR, 2024

Target-agnostic Source-free Domain Adaptation for Regression Tasks.

Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis.

Hao He, Yixun Liang, Shishi Xiao, Jierun Chen, Yingcong Chen

Comput. Graph. Forum, October, 2023

StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation.

Shiu-Hong Kao, Jierun Chen, Shueng-Han Gary Chan

CoRR, 2023

Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services.

Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals.

Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks.

Jierun Chen, Shiu-Hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing.

Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S.-H. Gary Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty.

Jierun Chen, Song Wen, S.-H. Gary Chan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021