Jiachen Yao

According to our database, Jiachen Yao authored at least 22 papers between 2017 and 2026.

Collaborative distances:

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

2026

Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage.

Xin Ju, Jiachen Yao, Anima Anandkumar, Sally M. Benson, Gege Wen

CoRR, February, 2026

Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data.

Duy Nguyen, Jiachen Yao, Jiayun Wang, Julius Berner, Animashree Anandkumar

CoRR, February, 2026

Decoupled Diffusion Sampling for Inverse Problems on Function Spaces.

Thomas Y. L. Lin, Jiachen Yao, Lufang Chiang, Julius Berner, Anima Anandkumar

CoRR, January, 2026

2025

EquiReg: Equivariance Regularized Diffusion for Inverse Problems.

Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi, Abbas Mammadov, Jiachen Yao, Chuwei Wang, Anima Anandkumar

CoRR, May, 2025

Guided Diffusion Sampling on Function Spaces with Applications to PDEs.

Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, May, 2025

A lightweight diagnosis method for gear fault based on multi-path convolutional neural networks with attention mechanism.

Tianming Chen, Manyi Wang, Yilin Jiang, Jiachen Yao, Ming Li

Appl. Intell., January, 2025

A Theoretical Study of Neural Network Expressive Power via Manifold Topology.

Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen

Trans. Mach. Learn. Res., 2025

Recovering manifold representations via unsupervised meta-learning.

Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

Frontiers Comput. Sci., 2025

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions.

Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Backdooring Vision-Language Models with Out-Of-Distribution Data.

Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis.

Gözde Merve Demirci, Jiachen Yao, Ming-Chih Ho, Xiaoling Hu, Wei-Chi Wu, Chao Chen, Chia-Ling Tsai

CoRR, 2024

A Theoretical Study of Neural Network Expressive Power via Manifold Topology.

Jiachen Yao, Mayank Goswami, Chao Chen

CoRR, 2024

Preconditioning for Physics-Informed Neural Networks.

Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu

CoRR, 2024

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images.

Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.

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

Proceedings of the Medical Imaging with Deep Learning, 2023

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks.

Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

Learning to Segment from Noisy Annotations: A Spatial Correction Approach.

Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Selecting Real-World Objects via User-Perspective Phone Occlusion.

Yue Qin, Chun Yu, Wentao Yao, Jiachen Yao, Chen Liang, Yueting Weng, Yukang Yan, Yuanchun Shi

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

On the Convergence of Optimizing Persistent-Homology-Based Losses.

Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen

CoRR, 2022

2021

Multi-Step-Ahead Tool State Monitoring Using Clustering Feature-Based Recurrent Fuzzy Neural Networks.

Jiachen Yao, Baochun Lu, Junli Zhang

IEEE Access, 2021

2017

Image coding in compressed sensing based on noise shaping.

Li Li, Jiachen Yao, Na Deng

Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017