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Jierun Chen
Jierun Chen
HKUST
Dirección de correo verificada de cse.ust.hk - Página principal
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Run, don't walk: chasing higher FLOPS for faster neural networks
J Chen, S Kao, H He, W Zhuo, S Wen, CH Lee, SHG Chan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
9702023
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
J Chen, T He, W Zhuo, L Ma, S Ha, SHG Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
322022
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty
J Chen, S Wen, SHG Chan
AAAI Conference on Artificial Intelligence (AAAI) 35 (2), 1018-1026, 2021
172021
Semi-supervised learning with network embedding on ambient rf signals for geofencing services
W Zhuo, KH Chiu, J Chen, J Tan, E Sumpena, SHG Chan, S Ha, CH Lee
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2713-2726, 2023
72023
Fis-one: Floor identification system with one label for crowdsourced rf signals
W Zhuo, KH Chiu, J Chen, Z Zhao, SHG Chan, S Ha, CH Lee
2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023
52023
Target-agnostic source-free domain adaptation for regression tasks
T He, Z Xia, J Chen, H Li, SHG Chan
2024 IEEE 40th International Conference on Data Engineering (ICDE), 1464-1477, 2024
32024
CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis
H He, Y Liang, S Xiao, J Chen, Y Chen
Thirty-first Pacific Conference on Computer Graphics and Applications, 2023
32023
Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models
J Chen, F Wei, J Zhao, S Song, B Wu, Z Peng, SHG Chan, H Zhang
arXiv preprint arXiv:2406.16866, 2024
12024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation
A Kag, H Coskun, J Chen, J Cao, W Menapace, A Siarohin, S Tulyakov, ...
38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
2024
StableKD: Breaking Inter-block Optimization Entanglement for Stable Knowledge Distillation
S Kao, J Chen, SH Chan
arXiv preprint arXiv:2312.13223, 2023
2023
Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks–Supplementary Material–
J Chen, S Kao, H He, W Zhuo, S Wen, CH Lee, SHG Chan
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