Research Paper Recommendation Based on the Knowledge Gap. - Weidong Zhao; Ran Wu; Weihui Dai; Yonghui Dai (ICDM Workshops, 2015)

The Optimization of Resource Allocation Based on Process Mining. - Weidong Zhao; Liu Yang; Haitao Liu; Ran Wu (ICIC (3), 2015)

Paper recommendation based on the knowledge gap between a researcher's background knowledge and research target. - Weidong Zhao; Ran Wu; Haitao Liu (Inf. Process. Manag., 2016)

Deep Learning Scene Recognition Method Based on Localization Enhancement. - Wei Guo; Ran Wu; Yanhua Chen; Xinyan Zhu (Sensors, 2018)

Gait Detection using a Single Accelerometer. - Ran Wu; Jiankang Wu; Wendong Xiao (ICCA, 2019)

Multi-granular Angle Description for Plant Leaf Classification and Retrieval Based on Quotient Space. - Guoqing Xu; Ran Wu; Qi Wang (J. Inf. Process. Syst., 2020)

A citation recommendation method based on context correlation. - Weidong Zhao; Zhaoxin Yu; Ran Wu (Intell. Data Anal., 2021)

Semantic-Related Feature Generation for Generalized Zero-Shot Learning. - Peirong Ma; Ran Wu; Hong Lu 001 (ICME, 2022)

DOA estimation for beam scanning radar based on sparse signal reconstruction with incomplete pulse. - Ran Wu; Yan Zhang; Lihua Ni; Kehao Zhang; Ning Liu; Qun Wan (ICSPCC, 2022)

Fast Direct-Position-Determination based on PSO. - Lihua Ni; Ran Wu; Jiabin Yang; Jing Chen; Qun Wan (IGARSS, 2022)

Adaptive gradients and weight projection based on quantized neural networks for efficient image classification. - Ran Wu; Huanyu Liu; Jun-Bao Li (Comput. Vis. Image Underst., 2022)

A Hybrid Intelligence-Based Integrated Smart Evaluation Model for Vocal Music Teaching. - Ran Wu (IEEE Access, 2023)

ADCL: Adversarial Distilled Contrastive Learning on lightweight models for self-supervised image classification. - Ran Wu; Huanyu Liu; Jun-Bao Li (Knowl. Based Syst., 2023)

PQDE: Comprehensive Progressive Quantization with Discretization Error for Ultra-Low Bitrate MobileNet towards Low-Resolution Imagery. - Zongcheng Yue; Ran Wu; Longyu Ma; Chong Fu 001; Chiu-Wing Sham (AICAS, 2024)

MTST: A Multi-Task Scheduling Transformer Accelerator for Edge Computing. - Zongcheng Yue; Dongwei Yan; Ran Wu; Longyu Ma; Chiu-Wing Sham (GCCE, 2024)

Hyper-feature aggregation and relaxed distillation for class incremental learning. - Ran Wu; Huanyu Liu; Zongcheng Yue; Jun-Bao Li; Chiu-Wing Sham (Pattern Recognit., 2024)

Feature space expansion and compression with spatial-spectral augmentation for hyperspectral image Class-Incremental Learning. - Ran Wu; Huanyu Liu; Zongcheng Yue; Chiu-Wing Sham; Jun-Bao Li (Pattern Recognit., 2025)

Siamsdt: a self-adaptive dynamic template siamese network for airborne visual tracking of MAVs on heterogeneous FPGA-SoC. - Yuxin Zhang; Jiazheng Wen; Ran Wu; Huanyu Liu; Junbao Li (J. Supercomput., 2025)