Multimodal continuous affect recognition based on LSTM and multiple kernel learning. - Jiamei Wei; Ercheng Pei; Dongmei Jiang; Hichem Sahli; Lei Xie 001; Zhonghua Fu (APSIPA, 2014)

Multimodal dimensional affect recognition using deep bidirectional long short-term memory recurrent neural networks. - Ercheng Pei; Le Yang 009; Dongmei Jiang; Hichem Sahli (ACII, 2015)

Multimodal Affective Dimension Prediction Using Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks. - Lang He; Dongmei Jiang; Le Yang 009; Ercheng Pei; Peng Wu 008; Hichem Sahli (AVEC@ACM Multimedia, 2015)

Audio Visual Recognition of Spontaneous Emotions In-the-Wild. - Xiaohan Xia; Liyong Guo; Dongmei Jiang; Ercheng Pei; Le Yang 009; Hichem Sahli (CCPR (2), 2016)

Deep neural network and switching Kalman filter based continuous affect recognition. - Ercheng Pei; Xiaohan Xia; Le Yang 009; Dongmei Jiang; Hichem Sahli (ICME Workshops, 2016)

Decision Tree Based Depression Classification from Audio Video and Language Information. - Le Yang 009; Dongmei Jiang; Lang He; Ercheng Pei; Meshia Cédric Oveneke; Hichem Sahli (AVEC@ACM Multimedia, 2016)

Multimodal Measurement of Depression Using Deep Learning Models. - Le Yang 009; Dongmei Jiang; Xiaohan Xia; Ercheng Pei; Meshia Cédric Oveneke; Hichem Sahli (AVEC@ACM Multimedia, 2017)

Hybrid Depression Classification and Estimation from Audio Video and Text Information. - Le Yang 009; Hichem Sahli; Xiaohan Xia; Ercheng Pei; Meshia Cédric Oveneke; Dongmei Jiang (AVEC@ACM Multimedia, 2017)

Continuous affect recognition with weakly supervised learning. - Ercheng Pei; Dongmei Jiang; Mitchel Alioscha-Pérez; Hichem Sahli (Multim. Tools Appl., 2019)

Neural architecture search under black-box objectives with deep reinforcement learning and increasingly-sparse rewards. - Mitchel Alioscha-Pérez; Abel Díaz Berenguer; Ercheng Pei; Meshia Cédric Oveneke; Hichem Sahli (ICAIIC, 2020)

An efficient model-level fusion approach for continuous affect recognition from audiovisual signals. - Ercheng Pei; Dongmei Jiang; Hichem Sahli (Neurocomputing, 2020)

Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN. - Yong Zhao; Le Yang 009; Ercheng Pei; Meshia Cédric Oveneke; Mitchel Alioscha-Pérez; Longfei Li; Dongmei Jiang; Hichem Sahli (Comput. Graph. Forum, 2021)

Monocular 3D Facial Expression Features for Continuous Affect Recognition. - Ercheng Pei; Meshia Cédric Oveneke; Yong Zhao; Dongmei Jiang; Hichem Sahli (IEEE Trans. Multim., 2021)

Audio-visual collaborative representation learning for Dynamic Saliency Prediction. - Hailong Ning; Bin Zhao 001; Zhanxuan Hu; Lang He; Ercheng Pei (Knowl. Based Syst., 2022)

Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions. - Meshia Cédric Oveneke; Yong Zhao; Ercheng Pei; Abel Díaz Berenguer; Dongmei Jiang; Hichem Sahli (IEEE Trans. Affect. Comput., 2022)

Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network. - Fan Cui; Liyong Guo; Lang He; Jiyao Liu; Ercheng Pei; Yujun Wang; Dongmei Jiang (ICASSP, 2023)

A Bayesian Filtering Framework for Continuous Affect Recognition From Facial Images. - Ercheng Pei; Yong Zhao; Meshia Cédric Oveneke; Dongmei Jiang; Hichem Sahli (IEEE Trans. Multim., 2023)

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild. - Lang He; Kai Chen; Junnan Zhao; Yimeng Wang; Ercheng Pei; Haifeng Chen; Jiewei Jiang; Shiqing Zhang; Jie Zhang 028; Zhongmin Wang 001; Tao He; Prayag Tiwari (CoRR, 2024)

An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. - Ercheng Pei; Zhanxuan Hu; Lang He; Hailong Ning; Abel Díaz Berenguer (Expert Syst. Appl., 2024)

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention. - Qiyu Xu; Zhanxuan Hu; Yu Duan 001; Ercheng Pei; Yonghang Tai (CoRR, 2025)