Yuntian Chen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 62

Top Topics

Organic Chemistry

Differential Equations

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Trans. Circuits Syst. Video Technol.

IEEE Trans. Artif. Intell.

Publications

Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34 (5) (2024)
Yuntian Chen, Xianjia Meng, Zhiying Shi, Zhiyuan Ning, Jingzhi Lin
SecureTLM: Private inference for transformer-based large model with MPC. Inf. Sci. 667 (2024)
Ding Wang, Yuntian Chen, Shiyi Chen
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression. CoRR (2024)
Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR (2024)
Qinglong Cao, Zhengqin Xu, Chao Ma, Xiaokang Yang, Yuntian Chen
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution. CoRR (2024)
Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
Domain-Controlled Prompt Learning. AAAI (2024)
Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data. CoRR (2024)
Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR (2024)
Han Zhou, Yuntian Chen
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting. CoRR (2024)
Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy. CoRR (2024)
Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR (2024)
Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang
A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. CoRR (2024)
Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression. CoRR (2024)
Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang
LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR (2024)
Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research. CoRR (2024)
Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain. CoRR (2024)
Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Weike Peng, Jiaxin Gao, Yuntian Chen, Shengwei Wang
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning. CoRR (2024)
Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 127 (2024)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD (2023)
Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR (2023)
Hao Xu, Yuntian Chen, Dongxiao Zhang
Worth of knowledge in deep learning. CoRR (2023)
Jiaxin Gao, Yuxiao Hu, Qinglong Cao, Siqi Dai, Yuntian Chen
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting. CoRR (2023)
Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CoRR (2023)
Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR (2023)
Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang
Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR (2023)
Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. CoRR (2023)
Chengchun Liu, Yuntian Chen, Fanyang Mo
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence. CoRR (2023)
Jiaxin Gao, Qinglong Cao, Yuntian Chen
MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts. CoRR (2023)
Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CVPR (2023)
Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. CoRR (2023)
Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
Reflection Invariance Learning for Few-shot Semantic Segmentation. CoRR (2023)
Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang
Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR (2023)
Mengge Du, Yuntian Chen, Dongxiao Zhang
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. 4 (6) (2023)
Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging 42 (11) (2023)
Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang
A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing. CoRR (2023)
Jiaxin Gao, Wenbo Hu, Yuntian Chen
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR (2023)
Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
Domain Prompt Learning with Quaternion Networks. CoRR (2023)
Yuntian Chen, Dongxiao Zhang
Integration of knowledge and data in machine learning. CoRR (2022)
Mengge Du, Yuntian Chen, Dongxiao Zhang
AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR (2022)
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR (2022)
Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
Progressively Dual Prior Guided Few-shot Semantic Segmentation. CoRR (2022)
Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo
High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. CoRR (2022)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI (2022)
Hao Xu, Yuntian Chen, Dongxiao Zhang
Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR (2022)
Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI (2022)
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
Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 102 (2022)
Mengge Du, Yuntian Chen, Dongxiao Zhang
DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR (2022)
Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu
Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development. CoRR (2022)
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR (2021)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. 445 (2021)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR (2021)
Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR (2021)
Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR (2021)
Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
Mining Cross Features for Financial Credit Risk Assessment. CIKM (2021)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Physics-constrained indirect supervised learning. CoRR (2020)
Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Ensemble long short-term memory (EnLSTM) network. CoRR (2020)
Yuntian Chen, Dongxiao Zhang
Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. 58 (8) (2020)
Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang
Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR (2019)
Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang
Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks 110 (2019)
Yuntian Chen, Gunnar Björk
Generation and detection of photonic qutrit states by linear optics. Quantum Inf. Comput. 8 (5) (2008)