Xinliang Liu - RankMe

59 papers A* 3A 1B 3Misc 1Journal 42Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Born-Series-Inspired Residual Metric for Learning-based Preconditioners. CoRR Juntao Wang, Xinliang Liu, Jiwei Jia
2026	J	`jnl`	Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation Rates. CoRR Juncai He, Xinliang Liu, Zitong Tian
2026	J	`jnl`	Pearson Correlation Coefficient-Guided Dynamic Supervision and Dual-Attention Network for MR-to-CT Image Synthesis. Int. J. Imaging Syst. Technol. Ruiming Zhu, Xinliang Liu, Yin Dai, Wei Qian, Yueyang Teng
2025	J	`jnl`	Advanced long-term earth system forecasting by learning the small-scale nature. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang
2025	J	`jnl`	Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres. CoRR Xinliang Liu, Tong Mao, Jinchao Xu
2025	J	`jnl`	Diff-ANO: Towards Fast High-Resolution Ultrasound Computed Tomography via Conditional Consistency Models and Adjoint Neural Operators. CoRR Xiang Cao, Qiaoqiao Ding, Xinliang Liu, Lei Zhang, Xiaoqun Zhang
2025	J	`jnl`	Dilated convolution neural operator for multiscale partial differential equations. J. Comput. Appl. Math. Bo Xu, Xinliang Liu, Lei Zhang
2025	B	`conf`	Hierarchical Dual-Branch Attention Transformer for Micro-Expression Recognition. IJCNN Xinliang Liu, Yanxia Wang, Guoyu Xia
2025	B	`conf`	Hybrid Swin Transformer for Appearance Gaze Estimation. IJCNN Zhang Cheng, Yanxia Wang, Xinliang Liu, Wei Liang, Fenglin Huang
2025	J	`jnl`	Integral Representations of Sobolev Spaces via ReLU CoRR Xinliang Liu, Tong Mao, Jinchao Xu
2025	J	`jnl`	OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography. CoRR Zhijun Zeng, Youjia Zheng, Hao Hu, Zeyuan Dong, Yihang Zheng, Xinliang Liu, Jinzhuo Wang, Zuoqiang Shi, Linfeng Zhang, Yubing Li, He Sun
2025	J	`jnl`	Self-Composing Neural Operators with Depth and Accuracy Scaling via Adaptive Train-and-Unroll Approach. CoRR Juncai He, Xinliang Liu, Jinchao Xu
2024	J	`jnl`	A Ghost-Attention Network for Discriminating Tectonic and Non-Tectonic Events on a Small and Imbalanced Dataset. IEEE Access Xinliang Liu, Tao Ren, HongFeng Chen, Pengyu Wang, Fanchun Meng
2024	J	`jnl`	A MgNO Method for Multiphase Flow in Porous Media. CoRR Xinliang Liu, Xia Yang, Chen-Song Zhang, Lian Zhang, Li Zhao
2024	J	`jnl`	A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis. Int. J. Imaging Syst. Technol. Ruiming Zhu, Xinliang Liu, Mingrui Li, Wei Qian, Yueyang Teng
2024	J	`jnl`	A Two-Stage Earthquake Event Classification Model Based on Diffusion Probability Model. IEEE Trans. Geosci. Remote. Sens. Fanchun Meng, Tao Ren, Pengyu Wang, Xinliang Liu, Wenjuan Xiang, Xinyu He
2024	J	`jnl`	Determination of earthquake focal mechanism via multi-task learning. Comput. Geosci. Pengyu Wang, Tao Ren, Rong Shen, HongFeng Chen, Xinliang Liu, Fanchun Meng
2024	J	`jnl`	Dilated convolution neural operator for multiscale partial differential equations. CoRR Bo Xu, Xinliang Liu, Lei Zhang
2024	J	`jnl`	MFFnet: A Seismic Phase Picking Network Based on Multiple Feature Fusion. IEEE Geosci. Remote. Sens. Lett. Pengyu Wang, Tao Ren, Rong Shen, Georgi M. Dimirovski, Xinliang Liu, Fanchun Meng
2024	A*	`conf`	MgNO: Efficient Parameterization of Linear Operators via Multigrid. ICLR Juncai He, Xinliang Liu, Jinchao Xu
2024	J	`jnl`	Mitigating spectral bias for the multiscale operator learning. J. Comput. Phys. Xinliang Liu, Bo Xu, Shuhao Cao, Lei Zhang
2024	J	`jnl`	Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partials Differential Equations. CoRR Wenrui Hao, Xinliang Liu, Yahong Yang
2024	A*	`conf`	Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations. NeurIPS Wenrui Hao, Xinliang Liu, Yahong Yang
2024	J	`jnl`	Overview of knowledge reasoning for knowledge graph. Neurocomputing Xinliang Liu, Tingyu Mao, Yanyan Shi, Yanzhao Ren
2023	—	`conf`	A Relation-Oriented Approach for Complex Entity Relation Extraction. ICONIP (12) Xinliang Liu, Mengqi Zhang
2023	A*	`conf`	ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks. ICLR Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2023	J	`jnl`	Action-Aware Network with Upper and Lower Limit Loss for Weakly-Supervised Temporal Action Localization. Neural Process. Lett. Mingwen Bi, Jiaqi Li, Xinliang Liu, Qingchuan Zhang, Zhenghong Yang
2023	J	`jnl`	BTRPP: A Rapid PGA Prediction Model Based on Machine Learning. IEEE Trans. Geosci. Remote. Sens. Tao Ren, Pengyu Wang, HongFeng Chen, Xinliang Liu, Fanchun Meng, Yanlu Ma
2023	J	`jnl`	Framelet Message Passing. CoRR Xinliang Liu, Bingxin Zhou, Chutian Zhang, Yuguang Wang
2023	J	`jnl`	Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists. Expert Syst. Appl. Reamonn Norat, Annie S. Wu, Xinliang Liu
2023	J	`jnl`	Machine reading comprehension combined with semantic dependency for Chinese zero pronoun resolution. Artif. Intell. Rev. Mingwen Bi, Xinliang Liu, Qingchuan Zhang, Zhenghong Yang
2023	J	`jnl`	MgNO: Efficient Parameterization of Linear Operators via Multigrid. CoRR Juncai He, Xinliang Liu, Jinchao Xu
2023	J	`jnl`	Neural Network Light Weighting Approach Using Multi-Metric Evaluation of Convolution Kernels. IEEE Access Pengyu Wang, Tao Ren, Jiaxin Liu, Fanchun Meng, Xinliang Liu, Wei Liu
2022	J	`jnl`	ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition. CoRR Yuelin Wang, Kai Yi, Xinliang Liu, Yu Guang Wang, Shi Jin
2022	—	`conf`	Blockchain-Based Risk Tracing of Animal-Derived Food Supply Chain. AHPCAI Qiaoling Dai, Xinliang Liu, Mengqi Zhang, Tongna Mu, Yanzhao Ren
2022	A	`conf`	Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem. GECCO Esteban Segarra Martinez, Stephen V. Maldonado, Annie S. Wu, Ryan P. McMahan, Xinliang Liu, Blake Oakley
2022	J	`jnl`	HT-Net: Hierarchical Transformer based Operator Learning Model for Multiscale PDEs. CoRR Xinliang Liu, Bo Xu, Lei Zhang
2022	—	`conf`	Well-Conditioned Spectral Transforms for Dynamic Graph Representation. LoG Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2021	B	`conf`	Automatic Topic Labeling model with Paired-Attention based on Pre-trained Deep Neural Network. IJCNN Dongbin He, Yan-zhao Ren, Abdul Mateen Khattak, Xinliang Liu, Sha Tao, Wanlin Gao
2021	J	`jnl`	Automatic topic labeling using graph-based pre-trained neural embedding. Neurocomputing Dongbin He, Yan-zhao Ren, Abdul Mateen Khattak, Xinliang Liu, Sha Tao, Wanlin Gao
2021	J	`jnl`	Generalized Rough Polyharmonic Splines for Multiscale PDEs with Rough Coefficients. CoRR Xinliang Liu, Lei Zhang, Shengxin Zhu
2021	J	`jnl`	Iterated Numerical Homogenization for MultiScale Elliptic Equations with Monotone Nonlinearity. Multiscale Model. Simul. Xinliang Liu, Eric Tsz Shun Chung, Lei Zhang
2021	J	`jnl`	Iterated numerical homogenization for multi-scale elliptic equations with monotone nonlinearity. CoRR Xinliang Liu, Eric Tsz Shun Chung, Lei Zhang
2021	—	`conf`	Semantic Enhanced Subspace Cross-Media Retrieval Based on Quadratic Discriminant Analysis. ACAI Han Hao, Mengqi Zhang, Lei Ma, Nian Chen, Xinliang Liu
2021	J	`jnl`	Spectral Transform Forms Scalable Transformer. CoRR Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang
2019	Misc	`conf`	A Genetic Algorithm Approach to Predictive Modeling of Medicare Payments to Physical Therapists. FLAIRS Annie Wu, Xinliang Liu, Reamonn Norat
2019	J	`jnl`	Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data. J. Exp. Theor. Artif. Intell. Varadraj Prabhu Gurupur, Shrirang Ambaji Kulkarni, Xinliang Liu, Usha Desai, Ayan Nasir
2019	J	`jnl`	Disparities in patient record completeness with respect to the health care utilization project. Health Informatics J. Ayan Nasir, Xinliang Liu, Varadraj Prabhu Gurupur, Zaeem Qureshi
2019	J	`jnl`	Quantifying the Spatio-Temporal Process of Township Urbanization: A Large-Scale Data-Driven Approach. ISPRS Int. J. Geo Inf. Xinliang Liu, Yi Wang, Yong Li, Jinshui Wu
2019	—	`ch.`	Trustworthy Traceability of Quality and Safety for Pig Supply Chain Based on Blockchain. Cognitive Internet of Things Yan Yuan, Xinliang Liu, Kunming Hong, Shaoyi Song, Wanlin Gao
2018	J	`jnl`	Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming. IEEE CAA J. Autom. Sinica Derong Liu, Yancai Xu, Qinglai Wei, Xinliang Liu
2017	—	`conf`	Neuro-control of Nonlinear Systems with Unknown Input Constraints. ICONIP (1) Bo Zhao, Xinliang Liu, Derong Liu, Yuanchun Li
2017	J	`jnl`	Structural difference histogram representation for texture image classification. IET Image Process. Jinwang Feng, Xinliang Liu, Yongsheng Dong, Lingfei Liang, Jiexin Pu
2017	—	`conf`	University Restaurant Sales Forecast Based on BP Neural Network - In Shanghai Jiao Tong University Case. ICSI (2) Xinliang Liu, Dandan Sun
2016	J	`jnl`	A New Paradigm to Analyze Data Completeness of Patient Data. Appl. Clin. Inform. Ayan Nasir, Xinliang Liu, Varadraj Prabhu Gurupur
2016	—	`conf`	A study on the impact of online takeout based on the Baidu index on the management of university cafeteria. CCIS Xinliang Liu, Dandan Sun
2013	—	`conf`	Improving the Efficiency of Storing SNS Small Files in HDFS. ISCTCS Ganggang Zhang, Min Zuo, Xinliang Liu, Fan Xia
2011	J	`jnl`	A web-based geographic hypermedia system: Data model, system design and prototype applications. Geo spatial Inf. Sci. Yunfeng Kong, Xinliang Liu
2010	J	`jnl`	Utility-Analytic Approach and Swarm Simulations of Security Policies in Digital Rights Management. J. Multim. Zhiyong Zhang, Xinliang Liu, Jiexin Pu