A Maximum Entropy Markov Model for Prediction of Prosodic Phrase Boundaries in Chinese TTS. - Ziping Zhao 001; Tingjian Zhao; Yaoting Zhu (GrC, 2007)

Study on Prediction of Prosodic Phrase Boundaries in Chinese TTS. - Ziping Zhao 001; Yaoting Zhu (SNPD (3), 2007)

Prediction of Prosodic Phrase Boundaries in Chinese TTS Based on Conditional Random Fields and Transformation Based Learning. - Ziping Zhao 001; Yaoting Zhu (FSKD (2), 2009)

Semi Supervised Learning for Prediction of Prosodic Phrase Boundaries in Chinese TTS Using Conditional Random Fields. - Ziping Zhao 001; Xirong Ma; Weidong Pei (ISNN (2), 2011)

Active Learning for Speech Emotion Recognition Using Conditional Random Fields. - Ziping Zhao 001; Xirong Ma (SNPD, 2013)

Active learning for the prediction of prosodic phrase boundaries in Chinese speech synthesis systems using conditional random fields. - Ziping Zhao 001; Xirong Ma (SNPD, 2015)

A Research and Analysis Method of Open Source Threat Intelligence Data. - Ruyue Liu; Ziping Zhao 001; Chengjun Sun; Xiaoyu Yang; Xiaoli Gong; Jin Zhang 003 (ICPCSEE (1), 2017)

Research on feature fusion for emotion recognition based on discriminative canonical correlation analysis. - Chuqi Liu; Chao Li; Ziping Zhao 001 (ICMAI, 2018)

Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. - Ziping Zhao 001; Yu Zheng 013; Zixing Zhang 001; Haishuai Wang; Yiqin Zhao; Chao Li (INTERSPEECH, 2018)

Combining Gated Convolutional Networks and Self-Attention Mechanism for Speech Emotion Recognition. - Chao Li; Jinlong Jiao; Yiqin Zhao; Ziping Zhao 001 (ACII Workshops, 2019)

Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database. - Meishu Song; Zijiang Yang 007; Alice Baird; Emilia Parada-Cabaleiro; Zixing Zhang 001; Ziping Zhao 001; Björn W. Schuller (ACII, 2019)

Autism Screening Using Deep Embedding Representation. - Haishuai Wang; Li Li; Lianhua Chi; Ziping Zhao 001 (ICCS (2), 2019)

Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. - Chao Li; Qian Zhang; Ziping Zhao 001; Li Gu; Nicholas Cummins; Björn W. Schuller (IJCNN, 2019)

Speech Augmentation via Speaker-Specific Noise in Unseen Environment. - Ya'nan Guo 001; Ziping Zhao 001; Yide Ma; Björn W. Schuller (INTERSPEECH, 2019)

A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. - Adria Mallol-Ragolta; Ziping Zhao 001; Lukas Stappen; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2019)

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2019)

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Nicholas Cummins; Roddy Cowie; Leili Tavabi; Maximilian Schmitt; Sina Alisamir; Shahin Amiriparian; Eva-Maria Meßner; Siyang Song; Shuo Liu 012; et al. (AVEC@MM, 2019)

Design and Implementation of Credit Evaluation System for Healthy Aged Service. - Chao Li; Yiqin Zhao; Sen Li; Penghao Wang; Ziping Zhao 001 (SERVICES, 2019)

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition. - Ziping Zhao 001; Zhongtian Bao; Yiqin Zhao; Zixing Zhang 001; Nicholas Cummins; Zhao Ren; Björn W. Schuller (IEEE Access, 2019)

Hierarchical Attention Transfer Networks for Depression Assessment from Speech. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (ICASSP, 2020)

Learning Higher Representations from Bioacoustics: A Sequence-to-Sequence Deep Learning Approach for Bird Sound Classification. - Yu Qiao; Kun Qian 003; Ziping Zhao 001 (ICONIP (5), 2020)

Exploring Spatial-Temporal Representations for fNIRS-based Intimacy Detection via an Attention-enhanced Cascade Convolutional Recurrent Neural Network. - Chao Li; Qian Zhang; Ziping Zhao 001; Li Gu; Björn W. Schuller (ICPR, 2020)

Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. - Shuo Liu 012; Jinlong Jiao; Ziping Zhao 001; Judith Dineley; Nicholas Cummins; Björn W. Schuller (IJCNN, 2020)

Hybrid Network Feature Extraction for Depression Assessment from Speech. - Ziping Zhao 001; Qifei Li; Nicholas Cummins; Bin Liu 041; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (INTERSPEECH, 2020)

Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. - Panpan Wu; Xuanchao Sun; Ziping Zhao 001; Haishuai Wang; Shirui Pan; Björn W. Schuller (Comput. Intell. Neurosci., 2020)

Exploring temporal representations by leveraging attention-based bidirectional LSTM-RNNs for multi-modal emotion recognition. - Chao Li; Zhongtian Bao; Linhao Li; Ziping Zhao 001 (Inf. Process. Manag., 2020)

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Jun Deng; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (IEEE J. Sel. Top. Signal Process., 2020)

End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture. - Long Zhang; Ziping Zhao 001; Chunmei Ma; Linlin Shan; Huazhi Sun; Lifen Jiang; Shiwen Deng; Chang Gao (Sensors, 2020)

Dialogue emotion recognition method based on dynamic graph network. - Jun Cao; Wei Xia; Simin Wang; Ziping Zhao 001 (EITCE, 2021)

Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition. - Chao Li; Boyang Chen; Ziping Zhao 001; Nicholas Cummins; Björn W. Schuller (ICASSP, 2021)

FER by Modeling the Conditional Independence between the Spatial Cues and the Spatial Attention Distributions. - Wan Ding; Dongyan Huang; Jingjun Liang; Jinlong Jiao; Ziping Zhao 001 (ICMI Companion, 2021)

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. - Ziping Zhao 001; Qifei Li; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Neural Networks, 2021)

Deep Learning for Mobile Mental Health: Challenges and recent advances. - Jing Han 010; Zixing Zhang 001; Cecilia Mascolo; Elisabeth André; Jianhua Tao 001; Ziping Zhao 001; Björn W. Schuller (IEEE Signal Process. Mag., 2021)

Frustration recognition from speech during game interaction using wide residual networks. - Meishu Song; Adria Mallol-Ragolta; Emilia Parada-Cabaleiro; Zijiang Yang 007; Shuo Liu 012; Zhao Ren; Ziping Zhao 001; Björn W. Schuller (Virtual Real. Intell. Hardw., 2021)

Self-attention transfer networks for speech emotion recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Shihuang Sun; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Virtual Real. Intell. Hardw., 2021)

EEG Emotion Recognition Based on Self-attention Dynamic Graph Neural Networks. - Chao Li; Yong Sheng; Haishuai Wang; Mingyue Niu; Peiguang Jing; Ziping Zhao 001; Björn W. Schuller (EMBC, 2022)

Unaligned Multimodal Sequences for Depression Assessment From Speech. - Ziping Zhao 001; Keru Wang (EMBC, 2022)

Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding. - Ya Li 001; Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001 (ICASSP, 2022)

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. - Ziping Zhao 001; Zhen Gong; Mingyue Niu; Jiali Ma; Haishuai Wang; Zixing Zhang 001; Ya Li 001 (ICASSP, 2022)

Prediction of Depression Severity Based on Transformer Encoder and CNN Model. - Jiahao Lu; Bin Liu 041; Zheng Lian; Cong Cai; Jianhua Tao 001; Ziping Zhao 001 (ISCSLP, 2022)

Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. - Haishuai Wang; Jiali Ma; Ziping Zhao 001; Zhenyi Jia; Zhenyan Ji; Jun Wu 007 (J. Database Manag., 2022)

Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. - Haishuai Wang; Guangyu Tao; Jiali Ma; Shangru Jia; Lianhua Chi; Hong Yang 003; Ziping Zhao 001; Jianhua Tao 001 (IEEE J. Sel. Top. Signal Process., 2022)

Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes. - Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001; Ya Li 001; Björn W. Schuller (IEEE Trans. Circuits Syst. Video Technol., 2022)

Hybrid Multi-Task Learning for End-To-End Multimodal Emotion Recognition. - Junjie Chen; Yongwei Li; Ziping Zhao 001; Xuefei Liu; Zhengqi Wen; Jianhua Tao 001 (APSIPA ASC, 2023)

Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. - Ziping Zhao 001; Huan Wang; Haishuai Wang; Björn W. Schuller (ICASSP, 2023)

SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. - Ziping Zhao 001; Tian Gao; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2023)

Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction. - Mingyue Niu; Ziping Zhao 001; Jianhua Tao 001; Ya Li 001; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

Dense Coordinate Channel Attention Network for Depression Level Estimation from Speech. - Ziping Zhao 001; Shizhao Liu; Mingyue Niu; Haishuai Wang; Björn W. Schuller (ICPR (13), 2024)

MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition. - Ziping Zhao 001; Tian Gao; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2024)

Temporal Shift for Personality Recognition with Pre-Trained Representations. - Hanzhe Xu; Xuefei Liu; Cong Cai; Kang Zhu; Jizhou Cui; Ruibo Fu; Heng Xie; Jianhua Tao 001; Zhengqi Wen; Ziping Zhao 001; Guanjun Li; Le Wang; et al. (ISCSLP, 2024)

MTDAN: A Lightweight Multi-Scale Temporal Difference Attention Networks for Automated Video Depression Detection. - Shiqing Zhang; Xingnan Zhang; Xiaoming Zhao 002; Jiangxiong Fang; Mingyue Niu; Ziping Zhao 001; Jun Yu 002; Qi Tian 001 (IEEE Trans. Affect. Comput., 2024)

Multi-view domain-adaptive representation learning for EEG-based emotion recognition. - Chao Li; Ning Bian; Ziping Zhao 001; Haishuai Wang; Björn W. Schuller (Inf. Fusion, 2024)

Attention-Based Temporal Graph Representation Learning for EEG-Based Emotion Recognition. - Chao Li; Feng Wang; Ziping Zhao 001; Haishuai Wang; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2024)

Disentangling Reasoning Factors for Natural Language Inference. - Xixi Zhou; Limin Zeng; Ziping Zhao 001; Jiajun Bu; Wenjie Liang; Haishuai Wang (Big Data Min. Anal., 2025)

FQ-Conv-ViT: A quantized convolutional vision transformer model for diabetic retinopathy classification. - Panpan Wu; Yue Qu; Ziping Zhao 001; Zhangda Liu; Hengyong Yu (Signal Image Video Process., 2025)