Group Level Audio-Video Emotion Recognition Using Hybrid Networks. - Chuanhe Liu; Wenqiang Jiang; Minghao Wang; Tianhao Tang (ICMI, 2020)

Model Level Ensemble for Facial Action Unit Recognition at the 3rd ABAW Challenge. - Wenqiang Jiang; Yannan Wu; Fengsheng Qiao; Liyu Meng; Yuanyuan Deng; Chuanhe Liu (CVPR Workshops, 2022)

Valence and Arousal Estimation based on Multimodal Temporal-Aware Features for Videos in the Wild. - Liyu Meng; Yuchen Liu 003; Xiaolong Liu; Zhaopei Huang; Wenqiang Jiang; Tenggan Zhang; Chuanhe Liu; Qin Jin (CVPR Workshops, 2022)

Multi-Task Learning Framework for Emotion Recognition In-the-Wild. - Tenggan Zhang; Chuanhe Liu; Xiaolong Liu; Yuchen Liu 003; Liyu Meng; Lei Sun; Wenqiang Jiang; Fengyuan Zhang; Jinming Zhao; Qin Jin (ECCV Workshops (6), 2022)

Facial Action Unit Recognition With Multi-models Ensembling. - Wenqiang Jiang; Yannan Wu; Fengsheng Qiao; Liyu Meng; Yuanyuan Deng; Chuanhe Liu (CoRR, 2022)

Emotion Recognition based on Multi-Task Learning Framework in the ABAW4 Challenge. - Tenggan Zhang; Chuanhe Liu; Xiaolong Liu; Yuchen Liu 003; Liyu Meng; Lei Sun; Wenqiang Jiang; Fengyuan Zhang (CoRR, 2022)

Multi-modal Information Fusion for Action Unit Detection in the Wild. - Yuanyuan Deng; Xiaolong Liu; Liyu Meng; Wenqiang Jiang; Youqiang Dong; Chuanhe Liu (CVPR Workshops, 2023)

EVAEF: Ensemble Valence-Arousal Estimation Framework in the Wild. - Xiaolong Liu; Lei Sun; Wenqiang Jiang; Fengyuan Zhang; Yuanyuan Deng; Zhaopei Huang; Liyu Meng; Yuchen Liu 003; Chuanhe Liu (CVPR Workshops, 2023)

Facial Expression Recognition Based on Multi-modal Features for Videos in the Wild. - Chuanhe Liu; Xinjie Zhang; Xiaolong Liu; Tenggan Zhang; Liyu Meng; Yuchen Liu 003; Yuanyuan Deng; Wenqiang Jiang (CVPR Workshops, 2023)

Multi-modal Expression Recognition with Ensemble Method. - Chuanhe Liu; Xinjie Zhang; Xiaolong Liu; Tenggan Zhang; Liyu Meng; Yuchen Liu 003; Yuanyuan Deng; Wenqiang Jiang (CoRR, 2023)

Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods. - Qinglong Wang 004; Yongjian Li; Shihao Cui; Na Li; Xinchun Zhang; Wenqiang Jiang; Wen Peng; Jie Sun 019 (Eng. Appl. Artif. Intell., 2024)

DFKD: Dynamic Focused Knowledge Distillation Approach for Insulator Defect Detection. - Bao Liu 004; Wenqiang Jiang (IEEE Trans. Instrum. Meas., 2024)

Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling. - Qinglong Wang 004; Jie Sun 019; Yunjian Hu; Wenqiang Jiang; Xinchun Zhang; Zhangqi Wang (Expert Syst. Appl., 2024)