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ORCIDJiachen Yao
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2020 – today
- 2025
[j2]Tianming Chen, Manyi Wang
, Yilin Jiang, Jiachen Yao, Ming Li:
A lightweight diagnosis method for gear fault based on multi-path convolutional neural networks with attention mechanism. Appl. Intell. 55(2): 114 (2025)- 2024
- [c6]Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen:
Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images. ISBI 2024: 1-5 - [i8]Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu:
Preconditioning for Physics-Informed Neural Networks. CoRR abs/2402.00531 (2024) - [i7]Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen:
Backdooring Vision-Language Models with Out-Of-Distribution Data. CoRR abs/2410.01264 (2024) - [i6]Jiachen Yao, Mayank Goswami, Chao Chen:
A Theoretical Study of Neural Network Expressive Power via Manifold Topology. CoRR abs/2410.16542 (2024) - [i5]Gözde Merve Demirci, Jiachen Yao, Ming-Chih Ho, Xiaoling Hu, Wei-Chi Wu, Chao Chen, Chia-Ling Tsai:
Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis. CoRR abs/2411.09140 (2024) - 2023
- [c5]Yue Qin, Chun Yu, Wentao Yao, Jiachen Yao, Chen Liang, Yueting Weng, Yukang Yan, Yuanchun Shi:
Selecting Real-World Objects via User-Perspective Phone Occlusion. CHI 2023: 531:1-531:13 - [c4]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR 2023 - [c3]Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu:
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. ICML 2023: 39702-39721 - [c2]Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen:
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL 2023: 74-94 - [i4]Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu:
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. CoRR abs/2306.02816 (2023) - [i3]Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu:
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR abs/2306.08827 (2023) - [i2]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR abs/2308.02498 (2023) - 2022
- [i1]Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen:
On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR abs/2206.02946 (2022) - 2021
- [j1]Jiachen Yao, Baochun Lu, Junli Zhang:
Multi-Step-Ahead Tool State Monitoring Using Clustering Feature-Based Recurrent Fuzzy Neural Networks. IEEE Access 9: 113443-113453 (2021)
2010 – 2019
- 2017
- [c1]Li Li, Jiachen Yao, Na Deng:
Image coding in compressed sensing based on noise shaping. ISPACS 2017: 176-180
Coauthor Index
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