Optimization of the aggregation in AdaBoost algorithm by particle swarm optimization and its application in classification problems. - Shibo Gao; Yuntao Zhang (ICNC, 2010)

Classification of Skin Sensitizers on the Basis of Their Effective Concentration 3 Values by Using Adaptive Boosting Method. - Zhengjun Cheng; Yuntao Zhang; Changhong Zhou; Wenjun Zhang 004; Shibo Gao (J. Digit. Content Technol. its Appl., 2010)

Unsupervised Classification of Spectropolarimetric Data by Region-Based Evidence Fusion. - Yongqiang Zhao 001; Guohua Zhang; Feiran Jie; Shibo Gao; Chao Chen; Quan Pan 001 (IEEE Geosci. Remote. Sens. Lett., 2011)

Linear Subspace Learning based on a Learned Discriminative Dictionary for Sparse Coding. - Shibo Gao; Yizhou Yu; Yongmei Cheng (VISAPP (1), 2013)

Multi-Task Linear Dependency Modeling for drug-related webpages classification. - Ruiguang Hu; Mengxi Hao; Songzhi Jin; Hao Wang; Shibo Gao; Liping Xiao (FUSION, 2017)

Multi-branch Semantic GAN for Infrared Image Generation from Optical Image. - Lei Li; Pengfei Li; Meng Yang 001; Shibo Gao (IScIDE (1), 2019)

Fine-Grained PM2.5 Detection Method based on Crowdsensing. - Pengqi Hao; Min Yang; Shibo Gao; Kunning Sun; Dan Tao (ICCE-TW, 2020)

Path planning and hunting control of multiple dynamic targets based on event-triggered strategy. - Jia Wei Tang; Weifeng Liu 004; Seng Wang; Shibo Gao (ICCAIS, 2021)

Large-Batch and Multi-Structure Group Targets Tracking Based on Serial GLMB. - Zhi Zhao; Weifeng Liu 004; Sen Wang; Shibo Gao (ICCAIS, 2021)

Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network. - Jiejun Xie; Pengcheng Hu; Shibo Gao; Jihong Chen; Huicheng Zhou; Jianzhong Yang (IEEE Access, 2022)

Signal Source Localization with Long-Term Observations in Distributed Angle-Only Sensors. - Shenghua Zhou; Linhai Wang; Ran Liu; Yidi Chen; Xiaojun Peng; Xiaoyang Xie; Jian Yang; Shibo Gao; Xuehui Shao (Sensors, 2022)

A Stable Long-Term Tracking Method for Group-Housed Pigs. - Shibo Gao; Jinmeng Gong; Peipei Yang; Chao Liang; Linlin Huang (ICIG (2), 2023)

Scene-Adaptive SVAD Based On Multi-modal Action-Based Feature Extraction. - Shibo Gao; Peipei Yang; Linlin Huang (ACCV (3), 2024)

SUVAD: Semantic Understanding Based Video Anomaly Detection Using MLLM. - Shibo Gao; Peipei Yang; Linlin Huang (ICASSP, 2025)

Semi-supervised Video Anomaly Detection With Compact Deformable 3D Convolution. - Shibo Gao; Peipei Yang; Linlin Huang (ICASSP, 2025)

MultiSpectral Transformer Fusion via exploiting similarity and complementarity for robust pedestrian detection. - Song Hou; Meng Yang 001; Wei-Shi Zheng 001; Shibo Gao (Pattern Recognit., 2025)

VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding. - Shibo Gao; Peipei Yang; Yangyang Liu; Yi Chen; Han Zhu; Xuyao Zhang; Linlin Huang (CoRR, 2025)

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM. - Shibo Gao; Peipei Yang; Haiyang Guo; Yangyang Liu; Yi Chen; Shuai Li; Han Zhu; Jian Xu; Xu-Yao Zhang; Linlin Huang (CoRR, 2025)