A protein-peptide docking program with modeling receptor flexible areas. - Haiou Li; Qiang Lü; Rong Chen; Lijun Quan; Xiaoyan Xia (BIBM, 2013)

Packing protein side-chains by parallel ant colonies. - Lijun Quan; Haiou Li; Xiaoyan Xia; Qiang Li (BIBM, 2013)

Improved packing of protein side chains with parallel ant colonies. - Lijun Quan; Qiang Lü; Haiou Li; Xiaoyan Xia; Hongjie Wu (BMC Bioinform., 2014)

基于蛋白质进化配对的残基间距离约束挖掘方法 (Mining Residues Distance Constraints from Protein Evolution Couplings by Classification). - Caixia Wang; Qiang Lv; Haiou Li; Sheng Luo (计算机科学, 2015)

Modeling Protein Loop Structure by Cyclic Coordinate Descent-based Approach. - Haiou Li; Lu Sun; Sheng Luo; Xiaoyan Xia; Qiang Lyu (J. Comput. Biol., 2016)

Vehicle type recognition based on increasing hierarchical feature convolutional neural networks. - Xingguo Jiang; Xinxin Su; Xiaodong Cai; Haiou Li; Zhenzhen Luo (ICNC-FSKD, 2017)

Deep learning methods for protein torsion angle prediction. - Haiou Li; Jie Hou 001; Badri Adhikari; Qiang Lyu; Jianlin Cheng (BMC Bioinform., 2017)

A single-to-differential broadband transimpedance amplifier for 12.5 Gb/s optical links. - Qian Gao; Sheng Xie; Luhong Mao; Sicong Wu; Youzhi Gu; Haiou Li; Qiwei Song (IEICE Electron. Express, 2017)

A design methodology to extend bandwidth for regulated cascode transimpedance amplifier. - Sheng Xie; Sicong Wu; Luhong Mao; Haiou Li (IEICE Electron. Express, 2017)

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)

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)

Band-gap tunable (GaxIn1-x)2O3 layer grown by magnetron sputtering. - Fabi Zhang; Jinyu Sun; Haiou Li; Juan Zhou; Rong Wang; Tangyou Sun; Tao Fu; Gongli Xiao; Qi Li; Xingpeng Liu; Xiuyun Zhang; Daoyou Guo; et al. (Frontiers Inf. Technol. Electron. Eng., 2021)

An Integrated Detection Based on a Multi-Parameter Plasmonic Optical Fiber Sensor. - Gongli Xiao; Zetao Ou; Hongyan Yang 002; Yanping Xu; Jianyun Chen; Haiou Li; Qi Li; Lizhen Zeng; Yanron Den; Jianqing Li 001 (Sensors, 2021)

High Sensitivity Plasmonic Sensor Based on Fano Resonance with Inverted U-Shaped Resonator. - Gongli Xiao; Yanping Xu; Hongyan Yang 002; Zetao Ou; Jianyun Chen; Haiou Li; Xingpeng Liu; Lizhen Zeng; Jianqing Li 001 (Sensors, 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)

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)

Application of Federated Learning in mobile communication Anti-telecom fraud. - Haiou Li; Zhiwen Kang; Guolin Song; Yajun Liu; Hong Mei 004; Xin Chen; Ming Gu; Jieli Wang; Geng Chen (CNML, 2023)

Tolerance Analysis of Optical splitter / combiner on Lithium Niobate Modulator. - Hanyu Li; Shifeng Xie; Yingbo Liu; Yuxiang Hao; Yihui Yin; Haiou Li (ICCT, 2023)

Spot-Size Converter of Thin-film Lithium Niobate on Quartz Substrate. - Liangpeng Qin; Wanli Yang; Yuxiang Hao; Yingbo Liu; Haiou Li; Yihui Yin (ICCT, 2023)

Radiomics model building from multiparametric MRI to predict Ki-67 expression in patients with primary central nervous system lymphomas: a multicenter study. - Yelong Shen; Siyu Wu; Yanan Wu; Chao Cui; Haiou Li; Shuang Yang; Xuejun Liu; Xingzhi Chen; Chencui Huang; Ximing Wang (BMC Medical Imaging, 2025)