A Clustering Algorithm in Group Decision Making. - Xuan-hua Xu; Xiao-hong Chen 001; Ding Luo (PACIS, 2004)

Data Indexing of Rough Relational Database. - Taorong Qiu; Ding Luo; Xiaoming Bai; Lingling Wei (IITA, 2007)

Global Face Super Resolution and Contour Region Constraints. - Chengdong Lan; Ruimin Hu; Tao Lu 001; Ding Luo; Zhen Han 002 (ISNN (2), 2010)

Dimension-Reduced Space-Time Adaptive Clutter Suppression Algorithm Based on Lower-Rank Approximation to Weight Matrix in Airborne Radar. - Xaoming Li; Dazheng Feng; Hong-Wei Liu 001; Ding Luo (IEEE Trans. Aerosp. Electron. Syst., 2014)

Capturing ground truth super-resolution data. - Chengchao Qu; Ding Luo; Eduardo Monari; Tobias Schuchert; Jürgen Beyerer (ICIP, 2016)

Analysis of network-wide transit passenger flows based on principal component analysis. - Ding Luo; Oded Cats; Hans van Lint (MT-ITS, 2017)

A Method of Rapid Distortion Correction for UAV Image Based on GPU-CPU Co-Processing Technology. - Penglong Li; Yi Ding; Songjiang Duan; Ding Luo; Ziwei Jiang; Yong Xiao (IGARSS, 2018)

An Automatic Detection Method for Tensile Deformations in Optical Satellite Orthophoto. - Penglong Li; Yan Hu; Yi Ding; Yichu Dong; Ding Luo; Ziwei Jiang (IGARSS, 2018)

Unraveling the Hierarchy of Public Transport Networks. - Ziyulong Wang; Ding Luo; Oded Cats; Trivik Verma (ITSC, 2020)

Unsupervised approach towards analysing the public transport bunching swings formation phenomenon. - Viktoriya Degeler; Léonie Heydenrijk-Ottens; Ding Luo; Niels van Oort; Hans van Lint (Public Transp., 2021)

High-speed surface profilometry based on an adaptive microscope with axial chromatic encoding - Ding Luo (2021)

A Data-Driven Integrated Framework for Fast-Charging Facility Planning Using Multi-Period Bi-Objective Optimization. - Mingjia He; Panchamy Krishnakumari; Ding Luo; Jiaqi Chen (ITSC, 2023)

Structure-Based Discovery of a Novel Allosteric Inhibitor against Human Dopamine Transporter. - Shengzhe Deng; Haiwei Zhang; Rongpei Gou; Ding Luo; Zerong Liu; Feng Zhu 004; Weiwei Xue (J. Chem. Inf. Model., 2023)

Large-Scale Forecasting of Electric Vehicle Charging Demand Using Global Time Series Modeling. - Tijmen van Etten; Victoria Degeler; Ding Luo (VEHITS, 2024)

DTNPD: A comprehensive database of drugs and targets for neurological and psychiatric disorders. - Ding Luo; Zhuohao Tong; Lu Wen; Mingze Bai; Xiaojie Jin; Zerong Liu; Yinghong Li 002; Weiwei Xue (Comput. Biol. Medicine, 2024)

Enhancing Generalizability in Protein-Ligand Binding Affinity Prediction with Multimodal Contrastive Learning. - Ding Luo; Dandan Liu; Xiaoyang Qu; Lina Dong; Binju Wang (J. Chem. Inf. Model., 2024)

Water Network-Augmented Two-State Model for Protein-Ligand Binding Affinity Prediction. - Xiaoyang Qu; Lina Dong; Ding Luo; Yubing Si; Binju Wang (J. Chem. Inf. Model., 2024)

Computational Chemistry in Structure-Based Solute Carrier Transporter Drug Design: Recent Advances and Future Perspectives. - Gao Tu; Tingting Fu; Guoxun Zheng; Binbin Xu; Rongpei Gou; Ding Luo; Panpan Wang; Weiwei Xue (J. Chem. Inf. Model., 2024)

Structure-Activation Synergy: A Dual Efficiency Framework for Parameter-Memory Optimized Transfer Learning. - Tian Jin; Enjun Du; Changwei Wang 001; Wenhao Xu; Ding Luo (CoRR, 2025)

ConoDL: a deep learning framework for rapid generation and prediction of conotoxins. - Menghan Guo; Zengpeng Li; Xuejin Deng; Ding Luo; Jingyi Yang; Yingjun Chen; Weiwei Xue (J. Comput. Aided Mol. Des., 2025)