An Agglomerative Hierarchical Clustering Based High-Resolution Remote Sensing Image Segmentation Algorithm. - Rongjie Liu; Jie Zhang 019; Pingjian Song; Fengjing Shao; Guanfeng Liu 001 (CSSE (4), 2008)

An Extensible Scientific Computing Resources Integration Framework Based on Grid Service. - Binge Cui; Xin Chen; Pingjian Song; Rongjie Liu (CDVE, 2009)

Multi-source Remote Sensing Images Data Integration and Sharing Using Agent Service. - Binge Cui; Xin Chen; Pingjian Song; Rongjie Liu (WISE, 2009)

Research on Dynamic Web Services Management Based on QoS. - Rongjie Liu; Guangsheng Cao; Jie Zhang 019; Pingjian Song; Binge Cui (J. Digit. Content Technol. its Appl., 2010)

Optimal integral sliding mode control scheme based on pseudospectral method for robotic manipulators. - Rongjie Liu; Shihua Li 001 (Int. J. Control, 2014)

Suboptimal Integral Sliding Mode Controller Design for a Class of Affine Systems. - Rongjie Liu; Shihua Li 001 (J. Optim. Theory Appl., 2014)

Global practical tracking for a class of nonlinear systems via linear sampled-data control. - Hongyan Chu; Chunjiang Qian; Rongjie Liu; Shihua Li 001; Hongqing Gao (ACC, 2015)

Decentralized output feedback control of a class of nonlinear systems with unsynchronized sampling instants. - Rongjie Liu; Chunjiang Qian; Shihua Li 001 (CDC, 2015)

Global practical tracking of a class of nonlinear systems using linear sampled-data control. - Hongyan Chu; Chunjiang Qian; Rongjie Liu; Liming Di (Int. J. Control, 2015)

State feedback control design for Boolean networks. - Rongjie Liu; Chunjiang Qian; Shuqian Liu; Yufang Jin (BMC Syst. Biol., 2016)

Observability and sensor allocation for Boolean networks. - Rongjie Liu; Chunjiang Qian; Yufang Jin (ACC, 2017)

Computational tools for genome-wide R-loops identification and characterisation. - Rongjie Liu; Aparna Gorthi; Yufang Jin; Alexander J. R. Bishop; Yidong Chen 002 (Int. J. Comput. Biol. Drug Des., 2017)

Statistical disease mapping for heterogeneous neuroimaging studies. - Rongjie Liu; Chao Huang 005; Tengfei Li 001; Liuqing Yang; Hongtu Zhu (ISBI, 2018)

Out-of-Band Response for the Coastal Zone Imager (CZI) Onboard China's Ocean Color Satellite HY-1C: Effect on the Observation Just above the Sea Surface. - Tingwei Cui; Jing Ding; Fujuan Jia; Bing Mu; Rongjie Liu; Pengmei Xu; Jianqiang Liu 001; Jie Zhang (Sensors, 2018)

CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images. - Rongjie Liu; Meng Li 002; Li Ma (CVPR, 2020)

Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis. - Chao Huang 005; Anuj Srivastava; Rongjie Liu (CVPR, 2021)

Impact of Monsoon-Transported Anthropogenic Aerosols and Sun-Glint on the Satellite-Derived Spectral Remote Sensing Reflectance in the Indian Ocean. - Rongjie Liu; Jie Zhang; Tingwei Cui; Haocheng Yu (Remote. Sens., 2021)

Disturbance observer based inverse optimal control for a class of nonlinear systems. - Zhong-Xin Fan; Avizit Chandra Adhikary; Shihua Li 001; Rongjie Liu (Neurocomputing, 2022)

Super-Resolution of GF-1 Multispectral Wide Field of View Images via a Very Deep Residual Coordinate Attention Network. - Rongjie Liu; Binge Cui; Xi Fang; Baotao Guo; Yi Ma; Jubai An (IEEE Geosci. Remote. Sens. Lett., 2022)

Red Tide Detection Method for HY-1D Coastal Zone Imager Based on U-Net Convolutional Neural Network. - Xin Zhao 038; Rongjie Liu; Yi Ma; Yanfang Xiao; Jing Ding; Jianqiang Liu 001; Quanbin Wang (Remote. Sens., 2022)

A Random Forest-Based Algorithm to Distinguish Ulva prolifera and Sargassum From Multispectral Satellite Images. - Yanfang Xiao; Rongjie Liu; Keunyong Kim; Jie Zhang 019; Tingwei Cui (IEEE Trans. Geosci. Remote. Sens., 2022)

Research on coal supply chain dispatch optimization algorithms in marine airclosures scenarios. - Hua Geng; Rongjie Liu; Liang Miao (ICMLCA, 2023)

Neural Network Learning-Based Control for Nonlinear Systems With Time-Varying Powers. - Jianan Liu; Long Zhao; Shihua Li 001; Rongjie Liu (IEEE Control. Syst. Lett., 2023)

Semantic-Aware Attack and Defense on Deep Hashing Networks for Remote-Sensing Image Retrieval. - Yansheng Li 001; Mengze Hao; Rongjie Liu; Zhichao Zhang; Hu Zhu; Yongjun Zhang 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Remote Sensing Retrieval of Water Clarity in Clear Oceanic to Extremely Turbid Coastal Waters From Multiple Spaceborne Sensors. - Jinzhao Xiang; Tingwei Cui; Song Qing; Rongjie Liu; Yanlong Chen; Bing Mu; Xiaobo Zhang; Wenjing Zhao; Yi Ma 004; Jie Zhang 019 (IEEE Trans. Geosci. Remote. Sens., 2023)

ADP-Based Optimal Control for Systems With Mismatched Disturbances: A PMSM Application. - Zhong-Xin Fan; Shihua Li 001; Rongjie Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

PPA: Principal parcellation analysis for brain connectomes and multiple traits. - Rongjie Liu; Meng Li 002; David B. Dunson (NeuroImage, 2023)

Decentralized inverse optimal control for interconnected systems. - Zhong-Xin Fan; Zhaoyi Li; Avizit Chandra Adhikary; Shihua Li 001; Rongjie Liu (J. Frankl. Inst., 2023)

Reinforcement learning-based robust optimal tracking control for disturbed nonlinear systems. - Zhong-Xin Fan; Lintao Tang; Shihua Li 001; Rongjie Liu (Neural Comput. Appl., 2023)

Unprecedent green macroalgae bloom: mechanism and implication to disaster prediction and prevention. - Mengmeng Cao; Xuyan Li; Tingwei Cui; Xinliang Pan; Yan Li; Yanlong Chen; Ning Wang; Yanfang Xiao; Xingai Song; Yuzhu Xu; Runa A; Bing Mu; et al. (Int. J. Digit. Earth, 2023)

An innovative supervised longitudinal learning procedure of recurrent neural networks with temporal data augmentation: Insights from predicting fetal macrosomia and large-for-gestational age. - Rongjie Liu; Yuanxin Yao; Cancan Zhang; Bo Zhang 115 (Comput. Biol. Medicine, 2024)

GP-GPT: Large Language Model for Gene-Phenotype Mapping. - Yanjun Lyu; Zihao Wu 001; Lu Zhang 050; Jing Zhang 010; Yiwei Li 002; Wei Ruan; Zhengliang Liu; Xiaowei Yu; Chao Cao; Tong Chen; Minheng Chen; Yan Zhuang; et al. (CoRR, 2024)

Efficient in-situ image and video compression through probabilistic image representation. - Rongjie Liu; Meng Li 002; Li Ma (Signal Process., 2024)

LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection. - Chao Huang 005; Shengxian Ding; Shihua Li 001; Rongjie Liu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Recurrent Neural Network Inspired Finite-Time Control Design. - Jianan Liu; Shihua Li 001; Rongjie Liu (IEEE CAA J. Autom. Sinica, 2024)

Optimal Speed Tracking Control of PMSM via Inverse Optimal Composite Controller. - Zhong-Xin Fan; Shihua Li 001; Rongjie Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

MS3OSD: A Novel Deep Learning Approach for Oil Spills Detection Using Optical Satellite Multisensor Spatial-Spectral Fusion Images. - Kai Du; Yi Ma 004; Zhongwei Li; Rongjie Liu; Zongchen Jiang; Junfang Yang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

MPM: Multi Patterns Memory Model for Short-Term Time Series Forecasting. - Dezheng Wang; Rongjie Liu; Congyan Chen; Shihua Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

AD-GPT: Large Language Models in Alzheimer's Disease. - Ziyu Liu; Lintao Tang; Zeliang Sun; Zhengliang Liu; Yanjun Lyu; Wei Ruan; Yangshuang Xu; Liang Shan 001; Jiyoon Shin; Xiaohe Chen; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2025)

Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity. - Xingcai Zhou; Shengxian Ding; Jiangyan Wang; Rongjie Liu; Linglong Kong; Chao Huang 005 (Technometrics, 2025)

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. - Haoran Lu; Luyang Fang; Ruidong Zhang; Xinliang Li; Jiazhang Cai; Huimin Cheng; Lin Tang; Ziyu Liu; Zeliang Sun; Tao Wang; Yingchuan Zhang; Arif Hassan Zidan; et al. (CoRR, 2025)