An Overlapping-Free Leaf Segmentation Method for Plant Point Clouds. - Dawei Li 001; Yan Cao 006; Guoliang Shi; Xin Cai; Yang Chen; Sifan Wang; Siyuan Yan (IEEE Access, 2019)

An Integrated Image Filter for Enhancing Change Detection Results. - Dawei Li 001; Siyuan Yan; Xin Cai; Yan Cao 006; Sifan Wang (IEEE Access, 2019)

Strong Internal-Cohesion-Polymerization-Based Integrated Fuzzy Classification on Feature Diffusion for Epileptic Electroencephalograms Signal. - Zhou Ta; Pingle Yang; Sifan Wang; Hang Hongjuan; Yanfang Zheng; Xuebao Li; Yuanpeng Zhang (J. Medical Imaging Health Informatics, 2019)

Understanding and mitigating gradient pathologies in physics-informed neural networks. - Sifan Wang; Yujun Teng; Paris Perdikaris (CoRR, 2020)

On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks. - Sifan Wang; Hanwen Wang; Paris Perdikaris (CoRR, 2020)

Double-stream atrous network for shadow detection. - Dawei Li 001; Sifan Wang; Xue-Song Tang; Weijian Kong; Guoliang Shi; Yang Chen (Neurocomputing, 2020)

A Leaf Segmentation and Phenotypic Feature Extraction Framework for Multiview Stereo Plant Point Clouds. - Dawei Li 001; Guoliang Shi; Weijian Kong; Sifan Wang; Yang Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Robust Multi-Source Direction of Arrival Estimation Using a Single Acoustic Vector Sensor. - Jianhua Geng; Sifan Wang; Juan Li; Jingwei Li; Xiangyu Zhang 002; Xin Lou (APCCAS, 2021)

Reliable Intensity Vector Selection for Multi-Source Direction-of-Arrival Estimation Using a Single Acoustic Vector Sensor. - Jianhua Geng; Sifan Wang; Juan Li; Jingwei Li; Xin Lou (Interspeech, 2021)

Fully Convolutional Network-Based DOA Estimation with Acoustic Vector Sensor. - Sifan Wang; Jianhua Geng; Xin Lou (SiPS, 2021)

Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets. - Sifan Wang; Hanwen Wang; Paris Perdikaris (CoRR, 2021)

Fast PDE-constrained optimization via self-supervised operator learning. - Sifan Wang; Mohamed Aziz Bhouri; Paris Perdikaris (CoRR, 2021)

Deep learning of free boundary and Stefan problems. - Sifan Wang; Paris Perdikaris (J. Comput. Phys., 2021)

Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks. - Sifan Wang; Yujun Teng; Paris Perdikaris (SIAM J. Sci. Comput., 2021)

A Slide-Save Based Framework for Multi-Source DOA Extraction with Closely Spaced Sources. - Jianhua Geng; Sifan Wang; Xin Lou (ICASSP, 2022)

Respecting causality is all you need for training physics-informed neural networks. - Sifan Wang; Shyam Sankaran; Paris Perdikaris (CoRR, 2022)

Rethinking the Importance of Sampling in Physics-informed Neural Networks. - Arka Daw; Jie Bu; Sifan Wang; Paris Perdikaris; Anuj Karpatne (CoRR, 2022)

Random Weight Factorization Improves the Training of Continuous Neural Representations. - Sifan Wang; Hanwen Wang; Jacob H. Seidman; Paris Perdikaris (CoRR, 2022)

When and why PINNs fail to train: A neural tangent kernel perspective. - Sifan Wang; Xinling Yu; Paris Perdikaris (J. Comput. Phys., 2022)

Improved Architectures and Training Algorithms for Deep Operator Networks. - Sifan Wang; Hanwen Wang; Paris Perdikaris (J. Sci. Comput., 2022)

Fine-Grained Feature Enhancement for Object Detection in Remote Sensing Images. - Yong Zhou 003; Sifan Wang; Jiaqi Zhao 001; Hancheng Zhu; Rui Yao (IEEE Geosci. Remote. Sens. Lett., 2022)

Dual-stream shadow detection network: biologically inspired shadow detection for remote sensing images. - Dawei Li 001; Sifan Wang; Shiyu Xiang; Jinsheng Li; Yanping Yang; Xue-Song Tang (Neural Comput. Appl., 2022)

Multi-Level Time-Frequency Bins Selection for Direction of Arrival Estimation Using a Single Acoustic Vector Sensor. - Jianhua Geng; Sifan Wang; Qinglai Liu; Xin Lou (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. - Arka Daw; Jie Bu; Sifan Wang; Paris Perdikaris; Anuj Karpatne (ICML, 2023)

An infectious disease model based on material science management during the COVID-19 pandemic. - Sifan Wang; Jiaoyan Wang (ICMML, 2023)

Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach. - Zhiwei Fang; Sifan Wang; Paris Perdikaris (CoRR, 2023)

PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems. - Shunyuan Mao; Ruobing Dong; Lu Lu; Kwang Moo Yi; Sifan Wang; Paris Perdikaris (CoRR, 2023)

An Expert's Guide to Training Physics-informed Neural Networks. - Sifan Wang; Shyam Sankaran; Hanwen Wang; Paris Perdikaris (CoRR, 2023)

Long-time integration of parametric evolution equations with physics-informed DeepONets. - Sifan Wang; Paris Perdikaris (J. Comput. Phys., 2023)

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks. - Sifan Wang; Bowen Li; Yuhan Chen; Paris Perdikaris (CoRR, 2024)

Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective. - Sifan Wang; Jacob H. Seidman; Shyam Sankaran; Hanwen Wang; George J. Pappas; Paris Perdikaris (CoRR, 2024)

The Key of Parameter Skew in Federated Learning. - Sifan Wang; Junfeng Liao; Ye Yuan; Riquan Zhang (CoRR, 2024)

Disk2Planet: A Robust and Automated Machine Learning Tool for Parameter Inference in Disk-Planet Systems. - Shunyuan Mao; Ruobing Dong; Kwang Moo Yi; Lu Lu; Sifan Wang; Paris Perdikaris (CoRR, 2024)

Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials. - Sifan Wang; Tong-Rui Liu; Shyam Sankaran; Paris Perdikaris (CoRR, 2024)

A 0.73 mW low power 9.6 GHz LC voltage-controlled oscillator achieves constant KVCO and -189.2 FOM. - Xiao Luo; Sifan Wang; Ruiyong Xiang; Shengpeng Shu; Bodong Zhang; Wanqing Wu; Xinpeng Xing; Haigang Feng (Microelectron. J., 2024)

Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries. - Zhiwei Fang; Sifan Wang; Paris Perdikaris (Neural Comput., 2024)

CViT: Continuous Vision Transformer for Operator Learning. - Sifan Wang; Jacob H. Seidman; Shyam Sankaran; Hanwen Wang; George J. Pappas; Paris Perdikaris (ICLR, 2025)

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective. - Sifan Wang; Ananyae Kumar Bhartari; Bowen Li; Paris Perdikaris (CoRR, 2025)

COAST: Intelligent Time-Adaptive Neural Operators. - Zhikai Wu; Shiyang Zhang; Sizhuang He; Sifan Wang; Min Zhu; Anran Jiao; Lu Lu; David van Dijk (CoRR, 2025)

Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion. - Nanxi Chen; Chuanjie Cui; Rujin Ma; Airong Chen; Sifan Wang (CoRR, 2025)

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution. - Wuzhe Xu; Yulong Lu; Sifan Wang; Tong-Rui Liu (CoRR, 2025)

FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling. - Sifan Wang; Zehao Dou; Tong-Rui Liu; Lu Lu (CoRR, 2025)

Simulating Three-dimensional Turbulence with Physics-informed Neural Networks. - Sifan Wang; Shyam Sankaran; Panos Stinis; Paris Perdikaris (CoRR, 2025)

Physics-Informed Fourier-DeepONet for a generalized eikonal solution. - Zhuofan Liu; Goodluck Archibong; Umair bin Waheed; Sifan Wang; Chao Song 003 (Comput. Geosci., 2026)