Oil-immersed Power Transformer Internal Fault Diagnosis Research Based on Probabilistic Neural Network. - Shenghao Yu; Dongming Zhao; Wei Chen; Hui Hou (ANT/SEIT, 2016)

Zero-Shot Object Detection With Attributes-Based Category Similarity. - Qiao-mei Ma; Chong Wang 001; Shenghao Yu; Ye Zheng; Yuqi Li (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Dynamic Relevance Learning for Few-Shot Object Detection. - Weijie Liu; Chong Wang 001; Haohe Li; Shenghao Yu; Song Chen; Xulun Ye; Jiafei Wu (CoRR, 2021)

Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos. - Shenghao Yu; Chong Wang 001; Qiao-mei Ma; Yuqi Li; Jiafei Wu (IEEE Signal Process. Lett., 2021)

Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection. - Weijie Liu; Chong Wang 001; Shenghao Yu; Chenchen Tao; Jun Wang 071; Jiafei Wu (ICASSP, 2022)

Multi-Scale Continuity-Aware Refinement Network for Weakly Supervised Video Anomaly Detection. - Yiling Gong; Chong Wang; Xinmiao Dai; Shenghao Yu; Lehong Xiang; Jiafei Wu (ICME, 2022)

TCA-VAD: Temporal Context Alignment Network for Weakly Supervised Video Anomly Detection. - Shenghao Yu; Chong Wang 001; Lehong Xiang; Jiafei Wu (ICME, 2022)

Action Recognition with Non-Uniform Key Frame Selector. - Haohe Li; Chong Wang 001; Shenghao Yu; Chenchen Tao (IPMV, 2023)

Zero-Shot Object Detection with Partitioned Contrastive Feature Alignment. - Haohe Li; Chong Wang 001; Shenghao Yu; Zheng Huo; Yujie Zheng; Jiangbo Qian (ICASSP, 2024)

Dynamic relevance learning for few-shot object detection. - Weijie Liu; Xiaojie Cai; Chong Wang; Haohe Li; Shenghao Yu (Signal Image Video Process., 2025)