Sifan Wang - RankMe

60 papers A* 2A 2Misc 1Journal 51Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physics-Informed Fourier-DeepONet for a generalized eikonal solution. Comput. Geosci. Zhuofan Liu, Goodluck Archibong, Umair bin Waheed, Sifan Wang, Chao Song
2025	J	`jnl`	A Practitioner's Guide to Kolmogorov-Arnold Networks. CoRR Amir Noorizadegan, Sifan Wang, Leevan Ling
2025	J	`jnl`	COAST: Intelligent Time-Adaptive Neural Operators. CoRR Zhikai Wu, Shiyang Zhang, Sizhuang He, Sifan Wang, Min Zhu, Anran Jiao, Lu Lu, David van Dijk
2025	A*	`conf`	CViT: Continuous Vision Transformer for Operator Learning. ICLR Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris
2025	—	`conf`	Design of a Road Traffic Classification Accident Detection and Identification System Based on YOLOv10. ICPCSEE Sifan Wang, Yanqing Wang, Shengli Wang, Yufan Mei
2025	J	`jnl`	Enforcing hidden physics in physics-informed neural networks. CoRR Nanxi Chen, Sifan Wang, Rujin Ma, Airong Chen, Chuanjie Cui
2025	J	`jnl`	FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling. CoRR Sifan Wang, Zehao Dou, Tong-Rui Liu, Lu Lu
2025	J	`jnl`	General Fourier Feature Physics-Informed Extreme Learning Machine (GFF-PIELM) for High-Frequency PDEs. CoRR Fei Ren, Sifan Wang, Pei-Zhi Zhuang, Hai-Sui Yu, He Yang
2025	J	`jnl`	GeoFunFlow: Geometric Function Flow Matching for Inverse Operator Learning over Complex Geometries. CoRR Sifan Wang, Zhikai Wu, David van Dijk, Lu Lu
2025	J	`jnl`	Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective. CoRR Sifan Wang, Ananyae Kumar Bhartari, Bowen Li, Paris Perdikaris
2025	J	`jnl`	Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution. CoRR Wuzhe Xu, Yulong Lu, Sifan Wang, Tong-Rui Liu
2025	A	`conf`	M-Rec: Leveraging Multi-View Feature to Reconstruction Incomplete Localization for Image Manipulation Detection. ECAI Sifan Wang, Yixun Zhang, Ye Yuan
2025	J	`jnl`	Neural Networks as Surrogate Solvers for Time-Dependent Accretion Disk Dynamics. CoRR Shunyuan Mao, Weiqi Wang, Sifan Wang, Ruobing Dong, Lu Lu, Kwang Moo Yi, Paris Perdikaris, Andrea Isella, Sébastien Fabbro, Lile Wang
2025	J	`jnl`	Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion. CoRR Nanxi Chen, Chuanjie Cui, Rujin Ma, Airong Chen, Sifan Wang
2025	J	`jnl`	Simulating Three-dimensional Turbulence with Physics-informed Neural Networks. CoRR Sifan Wang, Shyam Sankaran, Panos Stinis, Paris Perdikaris
2025	J	`jnl`	Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation. CoRR Ziyu Guo, Renrui Zhang, Hongyu Li, Manyuan Zhang, Xinyan Chen, Sifan Wang, Yan Feng, Peng Pei, Pheng-Ann Heng
2024	J	`jnl`	A 0.73 mW low power 9.6 GHz LC voltage-controlled oscillator achieves constant KVCO and -189.2 FOM. Microelectron. J. Xiao Luo, Sifan Wang, Ruiyong Xiang, Shengpeng Shu, Bodong Zhang, Wanqing Wu, Xinpeng Xing, Haigang Feng
2024	J	`jnl`	Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective. CoRR Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris
2024	J	`jnl`	Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems. CoRR Shunyuan Mao, Ruobing Dong, Kwang Moo Yi, Lu Lu, Sifan Wang, Paris Perdikaris
2024	J	`jnl`	Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries. Neural Comput. Zhiwei Fang, Sifan Wang, Paris Perdikaris
2024	J	`jnl`	Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials. CoRR Sifan Wang, Tong-Rui Liu, Shyam Sankaran, Paris Perdikaris
2024	J	`jnl`	PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks. CoRR Sifan Wang, Bowen Li, Yuhan Chen, Paris Perdikaris
2024	J	`jnl`	PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks. J. Mach. Learn. Res. Sifan Wang, Bowen Li, Yuhan Chen, Paris Perdikaris
2024	J	`jnl`	The Key of Parameter Skew in Federated Learning. CoRR Sifan Wang, Junfeng Liao, Ye Yuan, Riquan Zhang
2023	J	`jnl`	An Expert's Guide to Training Physics-informed Neural Networks. CoRR Sifan Wang, Shyam Sankaran, Hanwen Wang, Paris Perdikaris
2023	—	`conf`	An infectious disease model based on material science management during the COVID-19 pandemic. ICMML Sifan Wang, Jiaoyan Wang
2023	J	`jnl`	Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach. CoRR Zhiwei Fang, Sifan Wang, Paris Perdikaris
2023	J	`jnl`	Learning Only On Boundaries: a Physics-Informed Neural operator for Solving Parametric Partial Differential Equations in Complex Geometries. CoRR Zhiwei Fang, Sifan Wang, Paris Perdikaris
2023	J	`jnl`	Long-time integration of parametric evolution equations with physics-informed DeepONets. J. Comput. Phys. Sifan Wang, Paris Perdikaris
2023	A*	`conf`	Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. ICML Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2023	J	`jnl`	PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems. CoRR Shunyuan Mao, Ruobing Dong, Lu Lu, Kwang Moo Yi, Sifan Wang, Paris Perdikaris
2022	Misc	`conf`	A Slide-Save Based Framework for Multi-Source DOA Extraction with Closely Spaced Sources. ICASSP Jianhua Geng, Sifan Wang, Xin Lou
2022	J	`jnl`	Dual-stream shadow detection network: biologically inspired shadow detection for remote sensing images. Neural Comput. Appl. Dawei Li, Sifan Wang, Shiyu Xiang, Jinsheng Li, Yanping Yang, Xue-Song Tang
2022	J	`jnl`	Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Yong Zhou, Sifan Wang, Jiaqi Zhao, Hancheng Zhu, Rui Yao
2022	J	`jnl`	Improved Architectures and Training Algorithms for Deep Operator Networks. J. Sci. Comput. Sifan Wang, Hanwen Wang, Paris Perdikaris
2022	J	`jnl`	Multi-Level Time-Frequency Bins Selection for Direction of Arrival Estimation Using a Single Acoustic Vector Sensor. IEEE ACM Trans. Audio Speech Lang. Process. Jianhua Geng, Sifan Wang, Qinglai Liu, Xin Lou
2022	J	`jnl`	Random Weight Factorization Improves the Training of Continuous Neural Representations. CoRR Sifan Wang, Hanwen Wang, Jacob H. Seidman, Paris Perdikaris
2022	J	`jnl`	Respecting causality is all you need for training physics-informed neural networks. CoRR Sifan Wang, Shyam Sankaran, Paris Perdikaris
2022	J	`jnl`	Rethinking the Importance of Sampling in Physics-informed Neural Networks. CoRR Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne
2022	J	`jnl`	When and why PINNs fail to train: A neural tangent kernel perspective. J. Comput. Phys. Sifan Wang, Xinling Yu, Paris Perdikaris
2021	J	`jnl`	Deep learning of free boundary and Stefan problems. J. Comput. Phys. Sifan Wang, Paris Perdikaris
2021	J	`jnl`	Fast PDE-constrained optimization via self-supervised operator learning. CoRR Sifan Wang, Mohamed Aziz Bhouri, Paris Perdikaris
2021	—	`conf`	Fully Convolutional Network-Based DOA Estimation with Acoustic Vector Sensor. SiPS Sifan Wang, Jianhua Geng, Xin Lou
2021	J	`jnl`	Improved architectures and training algorithms for deep operator networks. CoRR Sifan Wang, Hanwen Wang, Paris Perdikaris
2021	J	`jnl`	Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets. CoRR Sifan Wang, Hanwen Wang, Paris Perdikaris
2021	J	`jnl`	Long-time integration of parametric evolution equations with physics-informed DeepONets. CoRR Sifan Wang, Paris Perdikaris
2021	A	`conf`	Reliable Intensity Vector Selection for Multi-Source Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor. Interspeech Jianhua Geng, Sifan Wang, Juan Li, Jingwei Li, Xin Lou
2021	—	`conf`	Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor. APCCAS Jianhua Geng, Sifan Wang, Juan Li, Jingwei Li, Xiangyu Zhang, Xin Lou
2021	J	`jnl`	Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks. SIAM J. Sci. Comput. Sifan Wang, Yujun Teng, Paris Perdikaris
2020	J	`jnl`	A Leaf Segmentation and Phenotypic Feature Extraction Framework for Multiview Stereo Plant Point Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Dawei Li, Guoliang Shi, Weijian Kong, Sifan Wang, Yang Chen
2020	J	`jnl`	Deep learning of free boundary and Stefan problems. CoRR Sifan Wang, Paris Perdikaris
2020	J	`jnl`	Double-stream atrous network for shadow detection. Neurocomputing Dawei Li, Sifan Wang, Xue-Song Tang, Weijian Kong, Guoliang Shi, Yang Chen
2020	J	`jnl`	On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks. CoRR Sifan Wang, Hanwen Wang, Paris Perdikaris
2020	J	`jnl`	Understanding and mitigating gradient pathologies in physics-informed neural networks. CoRR Sifan Wang, Yujun Teng, Paris Perdikaris
2020	J	`jnl`	When and why PINNs fail to train: A neural tangent kernel perspective. CoRR Sifan Wang, Xinling Yu, Paris Perdikaris
2019	J	`jnl`	An Integrated Image Filter for Enhancing Change Detection Results. IEEE Access Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang
2019	J	`jnl`	An Integrated Image Filter for Enhancing Change Detection Results. CoRR Dawei Li, Siyuan Yan, Xin Cai, Yan Cao, Sifan Wang
2019	J	`jnl`	An Overlapping-Free Leaf Segmentation Method for Plant Point Clouds. IEEE Access Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan
2019	J	`jnl`	An overlapping-free leaf segmentation method for plant point clouds. CoRR Dawei Li, Yan Cao, Guoliang Shi, Xin Cai, Yang Chen, Sifan Wang, Siyuan Yan
2019	J	`jnl`	Strong Internal-Cohesion-Polymerization-Based Integrated Fuzzy Classification on Feature Diffusion for Epileptic Electroencephalograms Signal. J. Medical Imaging Health Informatics Zhou Ta, Pingle Yang, Sifan Wang, Hang Hongjuan, Yanfang Zheng, Xuebao Li, Yuanpeng Zhang