Jiachen Yao - RankMe

26 papers A* 6Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupled Diffusion Sampling for Inverse Problems on Function Spaces. CoRR Thomas Y. L. Lin, Jiachen Yao, Lufang Chiang, Julius Berner, Anima Anandkumar
2026	J	`jnl`	Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage. CoRR Xin Ju, Jiachen Yao, Anima Anandkumar, Sally M. Benson, Gege Wen
2026	J	`jnl`	Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data. CoRR Duy Nguyen, Jiachen Yao, Jiayun Wang, Julius Berner, Animashree Anandkumar
2025	J	`jnl`	A Theoretical Study of Neural Network Expressive Power via Manifold Topology. Trans. Mach. Learn. Res. Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen
2025	J	`jnl`	A lightweight diagnosis method for gear fault based on multi-path convolutional neural networks with attention mechanism. Appl. Intell. Tianming Chen, Manyi Wang, Yilin Jiang, Jiachen Yao, Ming Li
2025	A*	`conf`	Backdooring Vision-Language Models with Out-Of-Distribution Data. ICLR Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
2025	J	`jnl`	EquiReg: Equivariance Regularized Diffusion for Inverse Problems. CoRR Bahareh Tolooshams, Aditi Chandrashekar, Rayhan Zirvi, Abbas Mammadov, Jiachen Yao, Chuwei Wang, Anima Anandkumar
2025	A*	`conf`	Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions. ICLR Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen
2025	J	`jnl`	Guided Diffusion Sampling on Function Spaces with Applications to PDEs. CoRR Jiachen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan, Jong Chul Ye, Kamyar Azizzadenesheli, Anima Anandkumar
2025	J	`jnl`	Recovering manifold representations via unsupervised meta-learning. Frontiers Comput. Sci. Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao
2024	J	`jnl`	A Theoretical Study of Neural Network Expressive Power via Manifold Topology. CoRR Jiachen Yao, Mayank Goswami, Chao Chen
2024	J	`jnl`	Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis. CoRR Gözde Merve Demirci, Jiachen Yao, Ming-Chih Ho, Xiaoling Hu, Wei-Chi Wu, Chao Chen, Chia-Ling Tsai
2024	J	`jnl`	Backdooring Vision-Language Models with Out-Of-Distribution Data. CoRR Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
2024	A*	`conf`	PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. NeurIPS Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2024	J	`jnl`	Preconditioning for Physics-Informed Neural Networks. CoRR Songming Liu, Chang Su, Jiachen Yao, Zhongkai Hao, Hang Su, Youjia Wu, Jun Zhu
2024	—	`conf`	Topological Analysis of Mouse Brain Vasculature via 3d Light-Sheet Microscopy Images. ISBI Jiachen Yao, Nina Hagemann, Qiaojie Xiong, Jianxu Chen, Dirk M. Hermann, Chao Chen
2023	A*	`conf`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	A*	`conf`	MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. ICML Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023	J	`jnl`	MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks. CoRR Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu
2023	J	`jnl`	PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. CoRR Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
2023	A*	`conf`	Selecting Real-World Objects via User-Perspective Phone Occlusion. CHI Yue Qin, Chun Yu, Wentao Yao, Jiachen Yao, Chen Liang, Yueting Weng, Yukang Yan, Yuanchun Shi
2023	—	`conf`	Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL 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
2022	J	`jnl`	On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
2021	J	`jnl`	Multi-Step-Ahead Tool State Monitoring Using Clustering Feature-Based Recurrent Fuzzy Neural Networks. IEEE Access Jiachen Yao, Baochun Lu, Junli Zhang
2017	—	`conf`	Image coding in compressed sensing based on noise shaping. ISPACS Li Li, Jiachen Yao, Na Deng