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Journal Articles
- 2024
[j14]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: 103584 (2024)- [j13]Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang:
AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. 6(12) (2024) - [j12]Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang:
AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. 6(12) (2024) - [j11]Yuntian Chen, Xianjia Meng, Zhiying Shi, Zhiyuan Ning, Jingzhi Lin:
SecureTLM: Private inference for transformer-based large model with MPC. Inf. Sci. 667: 120429 (2024) - [j10]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): 3971-3982 (2024) - [j9]Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang:
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j8]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. IEEE Trans. Mob. Comput. 23(12): 11781-11793 (2024) - 2023
- [j7]Mengge Du, Yuntian Chen, Dongxiao Zhang:
AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. 4(6): 1564-1578 (2023) - [j6]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): 3155-3166 (2023) - 2022
- [j5]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: 102126 (2022) - 2021
- [j4]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: 110624 (2021) - 2020
- [j3]Yuntian Chen, Dongxiao Zhang:
Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. 58(8): 5932-5943 (2020) - 2019
- [j2]Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang:
Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks 110: 170-185 (2019) - 2008
- [j1]Yuntian Chen, Gunnar Björk:
Generation and detection of photonic qutrit states by linear optics. Quantum Inf. Comput. 8(5): 386-398 (2008)
Conference and Workshop Papers
- 2024
- [c8]Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang:
Domain-Controlled Prompt Learning. AAAI 2024: 936-944 - [c7]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CVPR 2024: 24442-24451 - [c6]Qinglong Cao, Zhengqin Xu, Yuntian Chen, M. Chao, Xiaokang Yang:
Domain Prompt Learning with Quaternion Networks. CVPR 2024: 26627-26636 - 2023
- [c5]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: 20575-20584 - [c4]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD 2023: 1595-1607 - 2022
- [c3]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: 108-117 - [c2]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: 230-238 - 2021
- [c1]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. CIKM 2021: 1069-1078
Informal and Other Publications
- 2025
- [i57]Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen:
Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series. CoRR abs/2501.03747 (2025) - [i56]Zhiyuan Ning, Zhanyong Tang, Juan He, Weizhi Meng, Yuntian Chen:
Stealthy Voice Eavesdropping with Acoustic Metamaterials: Unraveling a New Privacy Threat. CoRR abs/2501.15032 (2025) - 2024
- [i55]Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen:
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data. CoRR abs/2401.00521 (2024) - [i54]Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo:
Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression. CoRR abs/2401.13904 (2024) - [i53]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 abs/2401.15913 (2024) - [i52]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 abs/2404.10401 (2024) - [i51]Weike Peng, Jiaxin Gao, Yuntian Chen, Shengwei Wang:
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning. CoRR abs/2404.18527 (2024) - [i50]Han Zhou, Yuntian Chen:
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting. CoRR abs/2404.18730 (2024) - [i49]Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang:
LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR abs/2405.07761 (2024) - [i48]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 abs/2405.08668 (2024) - [i47]Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang:
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR abs/2405.11880 (2024) - [i46]Ding Wang, Yuntian Chen, Shiyi Chen:
Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression. CoRR abs/2406.00695 (2024) - [i45]Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang:
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR abs/2406.03808 (2024) - [i44]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 abs/2406.03849 (2024) - [i43]Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang:
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR abs/2406.04575 (2024) - [i42]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 abs/2406.04743 (2024) - [i41]Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan:
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. CoRR abs/2408.00601 (2024) - [i40]Jianghang Gu, Mengge Du, Yuntian Chen, Shiyi Chen:
Discovery of Green's function based on symbolic regression with physical hard constraints. CoRR abs/2408.00811 (2024) - [i39]Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang:
Open-Vocabulary Remote Sensing Image Semantic Segmentation. CoRR abs/2409.07683 (2024) - [i38]Qinglong Cao, Ding Wang, Xirui Li, Yuntian Chen, Chao Ma, Xiaokang Yang:
Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge. CoRR abs/2411.11343 (2024) - [i37]Xiangnan Yu, Hao Xu, Zhiping Mao, HongGuang Sun, Yong Zhang, Dongxiao Zhang, Yuntian Chen:
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems. CoRR abs/2412.03970 (2024) - [i36]Jiaxin Gao, Qinglong Cao, Yuntian Chen:
Auto-Regressive Moving Diffusion Models for Time Series Forecasting. CoRR abs/2412.09328 (2024) - [i35]Yuntian Chen, Zhanyong Tang, Tianpei Lu, Bingsheng Zhang, Zhiying Shi, Zheng Wang:
Accelerating Private Large Transformers Inference through Fine-grained Collaborative Computation. CoRR abs/2412.16537 (2024) - [i34]Jianghang Gu, Ling Wen, Yuntian Chen, Shiyi Chen:
An explainable operator approximation framework under the guideline of Green's function. CoRR abs/2412.16644 (2024) - [i33]Jiaxin Gao, Wenbo Hu, Yuntian Chen:
Revisiting PCA for time series reduction in temporal dimension. CoRR abs/2412.19423 (2024) - 2023
- [i32]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 abs/2301.06083 (2023) - [i31]Jiaxin Gao, Wenbo Hu, Yuntian Chen:
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR abs/2305.18838 (2023) - [i30]Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang:
Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. CoRR abs/2306.11734 (2023) - [i29]Hao Xu, Yuntian Chen, Dongxiao Zhang:
Worth of knowledge in deep learning. CoRR abs/2307.00712 (2023) - [i28]Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang:
Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR abs/2309.07672 (2023) - [i27]Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang:
Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR abs/2309.15400 (2023) - [i26]Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang:
Reflection Invariance Learning for Few-shot Semantic Segmentation. CoRR abs/2309.15850 (2023) - [i25]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 abs/2312.00299 (2023) - [i24]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 abs/2312.00308 (2023) - [i23]Chengchun Liu, Yuntian Chen, Fanyang Mo:
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence. CoRR abs/2312.00808 (2023) - [i22]Jiaxin Gao, Qinglong Cao, Yuntian Chen:
MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts. CoRR abs/2312.02298 (2023) - [i21]Jiaxin Gao, Yuxiao Hu, Qinglong Cao, Siqi Dai, Yuntian Chen:
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting. CoRR abs/2312.05758 (2023) - [i20]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR abs/2312.07067 (2023) - [i19]Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang:
Domain Prompt Learning with Quaternion Networks. CoRR abs/2312.08878 (2023) - [i18]Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang:
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR abs/2312.14935 (2023) - 2022
- [i17]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 abs/2202.05962 (2022) - [i16]Yuntian Chen, Dongxiao Zhang:
Integration of knowledge and data in machine learning. CoRR abs/2202.10337 (2022) - [i15]Hao Xu, Yuntian Chen, Dongxiao Zhang:
Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR abs/2204.07724 (2022) - [i14]Mengge Du, Yuntian Chen, Dongxiao Zhang:
AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR abs/2205.05390 (2022) - [i13]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 abs/2206.09606 (2022) - [i12]Mengge Du, Yuntian Chen, Dongxiao Zhang:
DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR abs/2210.02181 (2022) - [i11]Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen:
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR abs/2210.02448 (2022) - [i10]Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han:
Progressively Dual Prior Guided Few-shot Semantic Segmentation. CoRR abs/2211.15467 (2022) - 2021
- [i9]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR abs/2102.12036 (2021) - [i8]Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang:
Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR abs/2106.00009 (2021) - [i7]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR abs/2106.01078 (2021) - [i6]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 abs/2106.11927 (2021) - 2020
- [i5]Yuntian Chen, Dongxiao Zhang:
Ensemble long short-term memory (EnLSTM) network. CoRR abs/2004.13562 (2020) - [i4]Yuntian Chen, Dongxiao Zhang:
Physics-constrained indirect supervised learning. CoRR abs/2004.14293 (2020) - [i3]Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen:
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR abs/2008.09775 (2020) - [i2]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 abs/2012.06148 (2020) - 2019
- [i1]Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang:
Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR abs/1908.01113 (2019)
Coauthor Index
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