Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid. - Weizhong Lu; Yuanchun Zhou; Kaichao Wu; Baoping Yan (Data Sci. J., 2009)

An IDA-Based Parallel Storage Scheme in the Scientific Data Grid. - Weizhong Lu; Yuanchun Zhou; Lei Liu; Baoping Yan (Data Sci. J., 2010)

Predicting Helix Boundaries of α-Helix Transmembrane Protein with Feedback Conditional Random Fields. - Kun Wang 005; Hongjie Wu; Weizhong Lu; Baochuan Fu; Qiang Lü; Xu Huang (ICIC (1), 2015)

CRF-TM: A Conditional Random Field Method for Predicting Transmembrane Topology. - Weizhong Lu; Baochuan Fu; Hongjie Wu; Qiang Lü; Kun Wang 005; Min Jiang 009 (IScIDE (2), 2015)

Optimizing GPCR Two-Dimensional Topology from Contact Map. - Hongjie Wu; Dadong Dai; Huaxiang Shen; Ru Yang; Weizhong Lu; Qiming Fu 001 (ICIC (3), 2018)

RNA Secondary Structure Prediction Based on Long Short-Term Memory Model. - Hongjie Wu; Ye Tang; Weizhong Lu; Cheng Chen; Hongmei Huang; Qiming Fu 001 (ICIC (1), 2018)

Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs. - Huajing Ling; Hongjie Wu; Jiayan Han; Jiwen Ding; Weizhong Lu; Qiming Fu 001 (ICIC (2), 2019)

Research on RNA Secondary Structure Prediction Based on Decision Tree. - Weizhong Lu; Yan Cao; Hongjie Wu; Hongmei Huang; Yijie Ding (ICIC (2), 2019)

A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. - Weizhong Lu; Zhengwei Song; Yijie Ding; Hongjie Wu; Hongmei Huang (ICIC (2), 2019)

Predicting RNA secondary structure via adaptive deep recurrent neural networks with energy-based filter. - Weizhong Lu; Ye Tang; Hongjie Wu; Hongmei Huang; Qiming Fu 001; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Ranking near-native candidate protein structures via random forest classification. - Hongjie Wu; Hongmei Huang; Weizhong Lu; Qiming Fu 001; Yijie Ding; Jing Qiu; Haiou Li (BMC Bioinform., 2019)

Research on predicting 2D-HP protein folding using reinforcement learning with full state space. - Hongjie Wu; Ru Yang; Qiming Fu 001; Jianping Chen; Weizhong Lu; Haiou Li (BMC Bioinform., 2019)

Prediction of Membrane Protein Interaction Based on Deep Residual Learning. - Tengsheng Jiang; Hongjie Wu; Yuhui Chen; Haiou Li; Jin Qiu; Weizhong Lu; Qiming Fu 001 (ICIC (2), 2020)

DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. - Shixuan Guan; Tengsheng Jiang; Weizhong Lu; Qiming Fu 001; Haiou Li; Hongjie Wu (ICIC (3), 2021)

Research on RNA Secondary Structure Prediction Based on MLP. - Weizhong Lu; Xiaoyi Chen; Yu Zhang 027; Hongjie Wu; Jiawei Shen; Nan Zhou; Yijie Ding (ICIC (3), 2021)

Membrane Protein Identification via Multiple Kernel Fuzzy SVM. - Weizhong Lu; Jiawei Shen; Yuqing Qian; Hongjie Wu; Yijie Ding; Xiaoyi Chen (ICIC (3), 2021)

Super-Large Medical Image Storage and Display Technology Based on Concentrated Points of Interest. - Jun Yan; Yuli Wang; Haiou Li; Weizhong Lu; Hongjie Wu (ICIC (1), 2021)

Research on RNA secondary structure predicting via bidirectional recurrent neural network. - Weizhong Lu; Yan Cao; Hongjie Wu; Yijie Ding; Zhengwei Song; Yu Zhang 027; Qiming Fu 001; Haiou Li (BMC Bioinform., 2021)

Flower growth status recognition method based on feature fusion convolutional neural network. - Haiming Liu; Shixuan Guan; Weizhong Lu; Haiou Li; Hongjie Wu (J. Comput. Methods Sci. Eng., 2021)

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. - Hongjie Wu; Huajing Ling; Lei Gao; Qiming Fu 001; Weizhong Lu; Yijie Ding; Min Jiang 009; Haiou Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Study on Path Planning of Multi-storey Parking Lot Based on Combined Loss Function. - Zhongtian Hu; Jun Yan; Yuli Wang; Changsong Yang; Qiming Fu 001; Weizhong Lu; Hongjie Wu (ICIC (3), 2022)

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. - Tengsheng Jiang; Yuhui Chen; Shixuan Guan; Zhongtian Hu; Weizhong Lu; Qiming Fu 001; Yijie Ding; Haiou Li; Hongjie Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Attribute-Based Searchable Encryption Scheme in Smart Healthcare Blockchain. - Chen Yan; Luping Wang; Hongjie Wu; Fuyuan Hu; Jing Chen 036; Weizhong Lu (ICDM (Workshops), 2023)

RECNN: A Novel Deep Learning Model to Predict 8-state Protein Secondary Structure. - Long Cheng; Yiyi Xia; Yiming Lu; Jiyun Shen; Yi Qiu; Haipeng Zhao; Weizhong Lu (ICAI (1), 2024)

ProAttUnet: Advancing protein secondary structure prediction with deep learning via U-Net dual-pathway feature fusion and ESM2 pretrained protein language model. - Long Cheng; Weizhong Lu; Yiyi Xia; Yiming Lu; Jiyun Shen; Zhiqiang Hui; Yixin Xu; Hongjie Wu; Jing Chen 036; Qiming Fu 001; You Lu 004 (Comput. Biol. Chem., 2025)