Yuntian Chen - RankMe

105 papers A* 11A 1Journal 91Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Training-Free Fusion of Subject and Style LoRAs. CoRR Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2026	J	`jnl`	GENSR: Symbolic Regression Based in Equation Generative Space. CoRR Qian Li, Yuxiao Hu, Juncheng Liu, Yuntian Chen
2026	J	`jnl`	Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines. CoRR Hao Xu, Yuntian Chen, Chongqing Kang, Dongxiao Zhang
2026	J	`jnl`	Inevitable Encounters: Backdoor Attacks Involving Lossy Compression. CoRR Qian Li, Yunuo Chen, Yuntian Chen
2026	A*	`conf`	Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame. AAAI Qinglong Cao, Xirui Li, Ding Wang, Chao Ma, Yuntian Chen, Xiaokang Yang
2026	J	`jnl`	Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning. CoRR Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2026	J	`jnl`	SoK: Private Transformer-Based Model Inference. IACR Cryptol. ePrint Arch. Yuntian Chen, Tianpei Lu, Zhanyong Tang, Bingsheng Zhang, Zhiying Shi, Yuxiang Luan, Zhuzhu Wang
2026	J	`jnl`	Spatially-aware transformer operator for real-time aerodynamic evaluations of arbitrary three-dimensional vehicles. J. Comput. Phys. Huiyu Yang, Jianghang Gu, Yuntian Chen, Yuanwei Bin, Jianchun Wang, Shiyi Chen
2026	A*	`conf`	SuperEar: Eavesdropping on Mobile Voice Calls via Stealthy Acoustic Metamaterials. WWW Zhiyuan Ning, Zhanyong Tang, Juan He, Weizhi Meng, Yuntian Chen, Jie Zhang, Zheng Wang
2025	J	`jnl`	Accelerating Private Large Transformers Inference Through Fine-Grained Collaborative Computation. IEEE Trans. Inf. Forensics Secur. Yuntian Chen, Zhanyong Tang, Tianpei Lu, Bingsheng Zhang, Zhiying Shi, Zheng Wang
2025	J	`jnl`	An explainable operator approximation framework under the guideline of Green's function. J. Comput. Phys. Jianghang Gu, Ling Wen, Yuntian Chen, Shiyi Chen
2025	A*	`conf`	Auto-Regressive Moving Diffusion Models for Time Series Forecasting. AAAI Jiaxin Gao, Qinglong Cao, Yuntian Chen
2025	J	`jnl`	Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery. CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2025	J	`jnl`	BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network. CoRR Yongzheng Liu, Yiming Wang, Po Xu, Yingjie Xu, Yuntian Chen, Dongxiao Zhang
2025	J	`jnl`	Capturing Unseen Spatial Extremes Through Knowledge-Informed Generative Modeling. CoRR Xinyue Liu, Xiao Peng, Shuyue Yan, Yuntian Chen, Dongxiao Zhang, Zhixiao Niu, Hui-Min Wang, Xiaogang He
2025	J	`jnl`	Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting. AI Open Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2025	J	`jnl`	Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series. CoRR Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen
2025	A*	`conf`	Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series. ICLR Yuxiao Hu, Qian Li, Dongxiao Zhang, Jinyue Yan, Yuntian Chen
2025	J	`jnl`	CostSphere: A Cost Model-Driven Privacy-Preserving Machine Learning Framework with Network Context Adaptation. IACR Cryptol. ePrint Arch. Yuntian Chen, Zhanyong Tang, Tianpei Lu, Bingsheng Zhang, Zhiying Shi, Zhiyuan Ning
2025	A*	`conf`	Domain Prompt Learning with Quaternion Networks (Extended Abstract). IJCAI Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
2025	A*	`conf`	DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation. ICML Ye Liu, Yuntian Chen
2025	J	`jnl`	Enhanced staging of renal cell carcinoma using tumor morphology features: model development and multi-source validation. npj Digit. Medicine Enyu Yuan, Yuntian Chen, Lei Ye, Ben He, Chunlei He, Junchao Ma, Ting Yang, Hao Zeng, Ling Yang, Jin Yao, Bin Song
2025	J	`jnl`	Generative Discovery of Partial Differential Equations by Learning from Math Handbooks. CoRR Hao Xu, Yuntian Chen, Rui Cao, Tianning Tang, Mengge Du, Jian Li, Adrian H. Callaghan, Dongxiao Zhang
2025	J	`jnl`	Generative emulation and uncertainty quantification of geological CO2 storage with conditional diffusion models. Appl. Soft Comput. Zhongzheng Wang, Yuntian Chen, Guodong Chen, Qiang Zheng, Tianhao Wu, Dongxiao Zhang
2025	J	`jnl`	HSFormer: Multiscale Hybrid Sparse Transformer for Uncertainty-Aware Cloud and Shadow Removal. IEEE Trans. Geosci. Remote. Sens. Changqi Sun, Yuntian Chen, Qinglong Cao, Longfeng Nie, Zhenzhong Zeng, Dongxiao Zhang
2025	J	`jnl`	MMT-fgMDI: Metapath-driven multimodal transformer framework for predicting fine-grained metabolite-drug interactions. Knowl. Based Syst. Wenzhi Liu, Pengli Lu, Yuntian Chen
2025	J	`jnl`	Open-Vocabulary High-Resolution Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2025	J	`jnl`	Stealthy Voice Eavesdropping with Acoustic Metamaterials: Unraveling a New Privacy Threat. CoRR Zhiyuan Ning, Zhanyong Tang, Juan He, Weizhi Meng, Yuntian Chen
2024	J	`jnl`	A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems. CoRR Xiangnan Yu, Hao Xu, Zhiping Mao, Hongguang Sun, Yong Zhang, Dongxiao Zhang, Yuntian Chen
2024	J	`jnl`	A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM. CoRR Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy. IEEE Trans. Mob. Comput. Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy. CoRR Dayin Chen, Xiaodan Shi, Haoran Zhang, Xuan Song, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	AS-XAI: Self-Supervised Automatic Semantic Interpretation for CNN. Adv. Intell. Syst. Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	Accelerating Private Large Transformers Inference through Fine-grained Collaborative Computation. CoRR Yuntian Chen, Zhanyong Tang, Tianpei Lu, Bingsheng Zhang, Zhiying Shi, Zheng Wang
2024	J	`jnl`	An explainable operator approximation framework under the guideline of Green's function. CoRR Jianghang Gu, Ling Wen, Yuntian Chen, Shiyi Chen
2024	J	`jnl`	Auto-Regressive Moving Diffusion Models for Time Series Forecasting. CoRR Jiaxin Gao, Qinglong Cao, Yuntian Chen
2024	J	`jnl`	AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model. CoRR Dayin Chen, Xiaodan Shi, Mingkun Jiang, Haoran Zhang, Dongxiao Zhang, Yuntian Chen, Jinyue Yan
2024	J	`jnl`	Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation. IEEE Trans. Circuits Syst. Video Technol. Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2024	J	`jnl`	Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning. CoRR Weike Peng, Jiaxin Gao, Yuntian Chen, Shengwei Wang
2024	J	`jnl`	CVTN: Cross Variable and Temporal Integration for Time Series Forecasting. CoRR Han Zhou, Yuntian Chen
2024	J	`jnl`	Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. CoRR Jiaxin Gao, Qinglong Cao, Yuntian Chen, Dongxiao Zhang
2024	J	`jnl`	Discovering an interpretable mathematical expression for a full wind-turbine wake with artificial intelligence enhanced symbolic regression. CoRR Ding Wang, Yuntian Chen, Shiyi Chen
2024	J	`jnl`	Discovery of Green's function based on symbolic regression with physical hard constraints. CoRR Jianghang Gu, Mengge Du, Yuntian Chen, Shiyi Chen
2024	A*	`conf`	Domain Prompt Learning with Quaternion Networks. CVPR Qinglong Cao, Zhengqin Xu, Yuntian Chen, M. Chao, Xiaokang Yang
2024	A*	`conf`	Domain-Controlled Prompt Learning. AAAI Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
2024	J	`jnl`	Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression. CoRR Siyu Lou, Chengchun Liu, Yuntian Chen, Fanyang Mo
2024	J	`jnl`	Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2024	A*	`conf`	Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CVPR Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
2024	J	`jnl`	LLM4ED: Large Language Models for Automatic Equation Discovery. CoRR Mengge Du, Yuntian Chen, Zhongzheng Wang, Longfeng Nie, Dongxiao Zhang
2024	J	`jnl`	Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data. CoRR Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen
2024	J	`jnl`	Open-Vocabulary Remote Sensing Image Semantic Segmentation. CoRR Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2024	J	`jnl`	Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning. CoRR Zhongzheng Wang, Yuntian Chen, Guodong Chen, Dongxiao Zhang
2024	J	`jnl`	Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research. CoRR Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang
2024	J	`jnl`	QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. Int. J. Appl. Earth Obs. Geoinformation Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
2024	J	`jnl`	Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs. CoRR Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang
2024	J	`jnl`	Revisiting PCA for time series reduction in temporal dimension. CoRR Jiaxin Gao, Wenbo Hu, Yuntian Chen
2024	J	`jnl`	SecureTLM: Private inference for transformer-based large model with MPC. Inf. Sci. Yuntian Chen, Xianjia Meng, Zhiying Shi, Zhiyuan Ning, Jingzhi Lin
2024	J	`jnl`	Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge. CoRR Qinglong Cao, Ding Wang, Xirui Li, Yuntian Chen, Chao Ma, Xiaokang Yang
2024	J	`jnl`	Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution. CoRR Qinglong Cao, Zhengqin Xu, Chao Ma, Xiaokang Yang, Yuntian Chen
2024	J	`jnl`	When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain. CoRR Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang
2023	J	`jnl`	A knowledge-based data-driven (KBDD) framework for all-day identification of cloud types using satellite remote sensing. CoRR Longfeng Nie, Yuntian Chen, Mengge Du, Changqi Sun, Dongxiao Zhang
2023	J	`jnl`	AS-XAI: Self-supervised Automatic Semantic Interpretation for CNN. CoRR Changqi Sun, Hao Xu, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	AutoKE: An Automatic Knowledge Embedding Framework for Scientific Machine Learning. IEEE Trans. Artif. Intell. Mengge Du, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting. CoRR Jiaxin Gao, Yuxiao Hu, Qinglong Cao, Siqi Dai, Yuntian Chen
2023	J	`jnl`	Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting. CoRR Jiaxin Gao, Wenbo Hu, Yuntian Chen
2023	A*	`conf`	Discrete Point-Wise Attack is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CVPR Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
2023	J	`jnl`	Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition. CoRR Qian Li, Yuxiao Hu, Ye Liu, Dongxiao Zhang, Xin Jin, Yuntian Chen
2023	J	`jnl`	Domain Prompt Learning with Quaternion Networks. CoRR Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang
2023	J	`jnl`	Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. CoRR Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2023	J	`jnl`	Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
2023	J	`jnl`	MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts. CoRR Jiaxin Gao, Qinglong Cao, Yuntian Chen
2023	A*	`conf`	Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
2023	J	`jnl`	Physics-constrained robust learning of open-form PDEs from limited and noisy data. CoRR Mengge Du, Longfeng Nie, Siyu Lou, Yuntian Chen, Dongxiao Zhang
2023	J	`jnl`	QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data. CoRR Longfeng Nie, Yuntian Chen, Dongxiao Zhang, Xinyue Liu, Wentian Yuan
2023	J	`jnl`	Reflection Invariance Learning for Few-shot Semantic Segmentation. CoRR Qinglong Cao, Yuntian Chen, Chao Ma, Xiaokang Yang
2023	J	`jnl`	Revolutionizing Terrain-Precipitation Understanding through AI-driven Knowledge Discovery. CoRR Hao Xu, Yuntian Chen, Zhenzhong Zeng, Nina Li, Jian Li, Dongxiao Zhang
2023	J	`jnl`	TaG-Net: Topology-Aware Graph Network for Centerline-Based Vessel Labeling. IEEE Trans. Medical Imaging Linlin Yao, Feng Shi, Sheng Wang, Xiao Zhang, Zhong Xue, Xiaohuan Cao, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Dinggang Shen
2023	J	`jnl`	Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence. CoRR Chengchun Liu, Yuntian Chen, Fanyang Mo
2023	J	`jnl`	Worth of knowledge in deep learning. CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	AutoKE: An automatic knowledge embedding framework for scientific machine learning. CoRR Mengge Du, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	DISCOVER: Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning. CoRR Mengge Du, Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	Evaluation of an automated intracranial aneurysm detection and rupture analysis approach using cascade detection and classification networks. Comput. Medical Imaging Graph. 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
2022	—	`conf`	Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph. MLMI@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	J	`jnl`	High-throughput discovery of chemical structure-polarity relationships combining automation and machine learning techniques. CoRR Hao Xu, Jinglong Lin, Qianyi Liu, Yuntian Chen, Jianning Zhang, Yang Yang, Michael C. Young, Yan Xu, Dongxiao Zhang, Fanyang Mo
2022	J	`jnl`	Integration of knowledge and data in machine learning. CoRR Yuntian Chen, Dongxiao Zhang
2022	J	`jnl`	Interpretable machine learning optimization (InterOpt) for operational parameters: a case study of highly-efficient shale gas development. CoRR Yuntian Chen, Dongxiao Zhang, Qun Zhao, Dexun Liu
2022	J	`jnl`	Progressively Dual Prior Guided Few-shot Semantic Segmentation. CoRR Qinglong Cao, Yuntian Chen, Xiwen Yao, Junwei Han
2022	J	`jnl`	Semantic interpretation for convolutional neural networks: What makes a cat a cat? CoRR Hao Xu, Yuntian Chen, Dongxiao Zhang
2022	—	`conf`	TaG-Net: Topology-Aware Graph Network for Vessel Labeling. ISGIE/GRAIL@MICCAI Linlin Yao, Zhong Xue, Yiqiang Zhan, Lizhou Chen, Yuntian Chen, Bin Song, Qian Wang, Feng Shi, Dinggang Shen
2022	J	`jnl`	TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning. CoRR Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen
2021	J	`jnl`	Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
2021	J	`jnl`	DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021	J	`jnl`	Deep-Learning Discovers Macroscopic Governing Equations for Viscous Gravity Currents from Microscopic Simulation Data. CoRR Junsheng Zeng, Hao Xu, Yuntian Chen, Dongxiao Zhang
2021	J	`jnl`	KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
2021	A	`conf`	Mining Cross Features for Financial Credit Risk Assessment. CIKM Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu
2021	J	`jnl`	Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2020	J	`jnl`	DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen
2020	J	`jnl`	Ensemble long short-term memory (EnLSTM) network. CoRR Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Physics-Constrained Deep Learning of Geomechanical Logs. IEEE Trans. Geosci. Remote. Sens. Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Physics-constrained indirect supervised learning. CoRR Yuntian Chen, Dongxiao Zhang
2020	J	`jnl`	Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2019	J	`jnl`	Ensemble Neural Networks (ENN): A gradient-free stochastic method. CoRR Yuntian Chen, Haibin Chang, Meng Jin, Dongxiao Zhang
2019	J	`jnl`	Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang
2008	J	`jnl`	Generation and detection of photonic qutrit states by linear optics. Quantum Inf. Comput. Yuntian Chen, Gunnar Björk