Yuntian Chen

According to our database, Yuntian Chen authored at least 62 papers between 2008 and 2024.

Collaborative distances:

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

2024

Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation.

Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation.

Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang

IEEE Trans. Geosci. Remote. Sens., 2024

SecureTLM: Private inference for transformer-based large model with MPC.

Yuntian Chen, Xianjia Meng, Zhiying Shi, Zhiyuan Ning, Jingzhi Lin

Inf. Sci., 2024

Open-Vocabulary Remote Sensing Image Semantic Segmentation.

Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang

CoRR, 2024

Discovery of Green's function based on symbolic regression with physical hard constraints.

Jianghang Gu, Mengge Du, Yuntian Chen, Shiyi Chen

CoRR, 2024

AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model.

Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan

CoRR, 2024

When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain.

Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang

CoRR, 2024

Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning.

Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang

CoRR, 2024

A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM.

Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang

CoRR, 2024

Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting.

Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang

CoRR, 2024

Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression.

Ding Wang, Yuntian Chen, Shiyi Chen

CoRR, 2024

Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs.

Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang

CoRR, 2024

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research.

Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang

CoRR, 2024

LLM4ED: Large Language Models for Automatic Equation Discovery.

Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang

CoRR, 2024

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting.

Han Zhou, Yuntian Chen

CoRR, 2024

Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning.

Weike Peng, Jiaxin Gao, Yuntian Chen, Shengwei Wang

CoRR, 2024

A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy.

Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan

CoRR, 2024

Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution.

Qinglong Cao, Zhengqin Xu, Chao Ma, Xiaokang Yang, Yuntian Chen

CoRR, 2024

Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression.

Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo

CoRR, 2024

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data.

Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen

CoRR, 2024

QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data.

Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan

Int. J. Appl. Earth Obs. Geoinformation, 2024

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training.

Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Domain Prompt Learning with Quaternion Networks.

Qinglong Cao, Zhengqin Xu, Yuntian Chen, M. Chao, Xiaokang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Domain-Controlled Prompt Learning.

Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning.

Mengge Du, Yuntian Chen, Dongxiao Zhang

IEEE Trans. Artif. Intell., December, 2023

TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling.

Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen

IEEE Trans. Medical Imaging, November, 2023

AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN.

Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang

CoRR, 2023

Domain Prompt Learning with Quaternion Networks.

Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang

CoRR, 2023

CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting.

Jiaxin Gao, Yuxiao Hu, Qinglong Cao, Siqi Dai, Yuntian Chen

CoRR, 2023

MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts.

Jiaxin Gao, Qinglong Cao, Yuntian Chen

CoRR, 2023

Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence.

Chengchun Liu, Yuntian Chen, Fanyang Mo

CoRR, 2023

A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing.

Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang

CoRR, 2023

Reflection Invariance Learning for Few-shot Semantic Segmentation.

Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang

CoRR, 2023

Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery.

Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang

CoRR, 2023

Physics-constrained robust learning of open-form PDEs from limited and noisy data.

Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang

CoRR, 2023

Worth of knowledge in deep learning.

Hao Xu, Yuntian Chen, Dongxiao Zhang

CoRR, 2023

Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting.

Jiaxin Gao, Wenbo Hu, Yuntian Chen

CoRR, 2023

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.

Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition.

Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Progressively Dual Prior Guided Few-shot Semantic Segmentation.

Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han

CoRR, 2022

TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning.

Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen

CoRR, 2022

DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning.

Mengge Du, Yuntian Chen, Dongxiao Zhang

CoRR, 2022

Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development.

Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu

CoRR, 2022

Semantic interpretation for convolutional neural networks: What makes a cat a cat?

Hao Xu, Yuntian Chen, Dongxiao Zhang

CoRR, 2022

Integration of knowledge and data in machine learning.

Yuntian Chen, Dongxiao Zhang

CoRR, 2022

High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques.

Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo

CoRR, 2022

Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks.

Ke Wu, Dongdong Gu, Peihong Qi, Xiaohuan Cao, Dijia Wu, Lei Chen, Guoxiang Qu, Jiayu Wang, Xianpan Pan, Xuechun Wang, Yuntian Chen, Lizhou Chen, Zhong Xue, Jinhao Lyu

Comput. Medical Imaging Graph., 2022

Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph.

Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

TaG-Net: Topology-Aware Graph Network for Vessel Labeling.

Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen

Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

2021

Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

J. Comput. Phys., 2021

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE).

Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang

CoRR, 2021

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients.

Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu

CoRR, 2021

Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data.

Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang

CoRR, 2021

DNN2LR: Automatic Feature Crossing for Credit Scoring.

Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

CoRR, 2021

Mining Cross Features for Financial Credit Risk Assessment.

Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Physics-Constrained Deep Learning of Geomechanical Logs.

Yuntian Chen, Dongxiao Zhang

IEEE Trans. Geosci. Remote. Sens., 2020

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

CoRR, 2020

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data.

Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen

CoRR, 2020

Physics-constrained indirect supervised learning.

Yuntian Chen, Dongxiao Zhang

CoRR, 2020

Ensemble long short-term memory (EnLSTM) network.

Yuntian Chen, Dongxiao Zhang

CoRR, 2020

2019

Ensemble Neural Networks (ENN): A gradient-free stochastic method.

Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang

Neural Networks, 2019

2008

Generation and detection of photonic qutrit states by linear optics.

Yuntian Chen, Gunnar Björk

Quantum Inf. Comput., 2008