The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. - Jun Deng; Nicholas Cummins; Jing Han 010; Xinzhou Xu; Zhao Ren; Vedhas Pandit; Zixing Zhang 001; Björn W. Schuller (CCPR (2), 2016)

Sincerity and Deception in Speech: Two Sides of the Same Coin? A Transfer- and Multi-Task Learning Perspective. - Yue Zhang 014; Felix Weninger; Zhao Ren; Björn W. Schuller (INTERSPEECH, 2016)

FastGGM: An Efficient Algorithm for the Inference of Gaussian Graphical Model in Biological Networks. - Ting Wang 003; Zhao Ren; Ying Ding 003; Zhou Fang; Zhe Sun; Matthew L. MacDonald; Robert A. Sweet; Jieru Wang; Wei Chen 074 (PLoS Comput. Biol., 2016)

Wavelets Revisited for the Classification of Acoustic Scenes. - Kun Qian 003; Zhao Ren; Vedhas Pandit; Zijiang Yang 007; Zixing Zhang 001; Björn W. Schuller (DCASE, 2017)

Deep Sequential Image Features on Acoustic Scene Classification. - Zhao Ren; Vedhas Pandit; Kun Qian 003; Zijiang Yang 007; Zixing Zhang 001; Björn W. Schuller (DCASE, 2017)

Extending the FOV from disparity and color consistencies in multiview light fields. - Zhao Ren; Qi Zhang 029; Hao Zhu 005; Qing Wang 006 (ICIP, 2017)

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. - Zhao Ren; Nicholas Cummins; Jing Han 010; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (ITG Symposium on Speech Communication, 2018)

Attention-based convolutional neural networks for acoustic scene classification. - Zhao Ren; Qiuqiang Kong; Kun Qian 003; Mark D. Plumbley; Björn W. Schuller (DCASE, 2018)

Learning Image-based Representations for Heart Sound Classification. - Zhao Ren; Nicholas Cummins; Vedhas Pandit; Jing Han 010; Kun Qian 003; Björn W. Schuller (DH, 2018)

Towards Conditional Adversarial Training for Predicting Emotions from Speech. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Fabien Ringeval; Björn W. Schuller (ICASSP, 2018)

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech. - Jing Han 010; Zixing Zhang 001; Maximilian Schmitt; Zhao Ren; Fabien Ringeval; Björn W. Schuller (INTERSPEECH, 2018)

The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Peter B. Marschik; Harald Baumeister; Fengquan Dong; Simone Hantke; Florian B. Pokorny; Eva-Maria Rathner; Katrin D. Bartl-Pokorny; Christa Einspieler; Dajie Zhang; et al. (INTERSPEECH, 2018)

Deep Scalogram Representations for Acoustic Scene Classification. - Zhao Ren; Kun Qian 003; Yebin Wang; Zixing Zhang 001; Vedhas Pandit; Alice Baird; Björn W. Schuller (IEEE CAA J. Autom. Sinica, 2018)

SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks. - Rong Zhang; Zhao Ren; Wei Chen 074 (PLoS Comput. Biol., 2018)

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. - Zhao Ren; Jing Han 010; Nicholas Cummins; Qiuqiang Kong; Mark D. Plumbley; Björn W. Schuller (PDH, 2019)

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (ICASSP, 2019)

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes. - Zhao Ren; Qiuqiang Kong; Jing Han 010; Mark D. Plumbley; Björn W. Schuller (ICASSP, 2019)

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. - Kun Qian 003; Hiroyuki Kuromiya; Zhao Ren; Maximilian Schmitt; Zixing Zhang 001; Toru Nakamura; Kazuhiro Yoshiuchi; Björn W. Schuller; Yoshiharu Yamamoto (ISICDM, 2019)

Deep Wavelets for Heart Sound Classification. - Kun Qian 003; Zhao Ren; Fengquan Dong; Wen-Hsing Lai; Björn W. Schuller; Yoshiharu Yamamoto (ISPACS, 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)

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)

Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models. - Zhao Ren; Alice Baird; Jing Han 010; Zixing Zhang 001; Björn W. Schuller (ICASSP, 2020)

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety. - Jing Han 010; Kun Qian 003; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; Juan Liu; Huaiyuan Zheng; Wei Ji; Tomoya Koike; Xiao Li; Zixing Zhang 001; et al. (INTERSPEECH, 2020)

Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition. - Merlin Albes; Zhao Ren; Björn W. Schuller; Nicholas Cummins (INTERSPEECH, 2020)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - Nicholas Cummins; Yilin Pan; Zhao Ren; Julian Fritsch; Venkata Srikanth Nallanthighal; Heidi Christensen; Daniel Blackburn; Björn W. Schuller; Mathew Magimai-Doss; Helmer Strik; Aki Härmä (INTERSPEECH, 2020)

Towards Speech Robustness for Acoustic Scene Classification. - Shuo Liu 012; Andreas Triantafyllopoulos; Zhao Ren; Björn W. Schuller (INTERSPEECH, 2020)

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. - Zhao Ren; Jing Han 010; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2020)

Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings. - Heejong Bong; Zongge Liu; Zhao Ren; Matthew A. Smith 001; Valérie Ventura; Robert E. Kass (NeurIPS, 2020)

Covariance-engaged Classification of Sets via Linear Programming. - Zhao Ren; Sungkyu Jung; Xingye Qiao (CoRR, 2020)

Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS - The Heart Sounds Shenzhen Corpus. - Fengquan Dong; Kun Qian 003; Zhao Ren; Alice Baird; Xinjian Li; Zhenyu Dai; Bo Dong; Florian Metze; Yoshiharu Yamamoto; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2020)

Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis. - Yi Chang 004; Zhao Ren; Björn W. Schuller (EMBC, 2021)

Deformable Dilated Faster R-CNN for Universal Lesion Detection in CT Images. - Fabio Hellmann; Zhao Ren; Elisabeth André; Björn W. Schuller (EMBC, 2021)

Speaking Corona? Human and Machine Recognition of COVID-19 from Voice. - Pascal Hecker; Florian B. Pokorny; Katrin D. Bartl-Pokorny; Uwe D. Reichel; Zhao Ren; Simone Hantke; Florian Eyben; Dagmar M. Schuller; Bert Arnrich; Björn W. Schuller (Interspeech, 2021)

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (Cogn. Comput., 2021)

Deep Attention-based Representation Learning for Heart Sound Classification. - Zhao Ren; Kun Qian 003; Fengquan Dong; Zhenyu Dai; Yoshiharu Yamamoto; Björn W. Schuller (CoRR, 2021)

The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge. - Zhao Ren; Yi Chang 004; Björn W. Schuller (CoRR, 2021)

Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech. - Benjamin Sertolli; Zhao Ren; Björn W. Schuller; Nicholas Cummins (Comput. Speech Lang., 2021)

CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds. - Yi Chang 004; Xin Jing; Zhao Ren; Björn W. Schuller (Frontiers Digit. Health, 2021)

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19. - Kun Qian 003; Maximilian Schmitt; Huaiyuan Zheng; Tomoya Koike; Jing Han 010; Juan Liu; Wei Ji; Junjun Duan; Meishu Song; Zijiang Yang 007; Zhao Ren; Shuo Liu 012; et al. (IEEE Internet Things J., 2021)

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings. - Jing Han 010; Zixing Zhang 001; Zhao Ren; Björn W. Schuller (IEEE Trans. Affect. Comput., 2021)

CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification. - Zhao Ren; Qiuqiang Kong; Jing Han 010; Mark D. Plumbley; Björn W. Schuller (IEEE Trans. Multim., 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)

Prototype Learning for Interpretable Respiratory Sound Analysis. - Zhao Ren; Thanh Tam Nguyen; Wolfgang Nejdl (ICASSP, 2022)

Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds. - Tianhao Yan; Hao Meng; Shuo Liu 012; Emilia Parada-Cabaleiro; Zhao Ren; Björn W. Schuller (ICASSP, 2022)

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis. - Yi Chang 004; Zhao Ren; Thanh Tam Nguyen; Wolfgang Nejdl; Björn W. Schuller (INTERSPEECH, 2022)

Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model. - Nguyen Duc Khang Quach; Zhao Ren; Khiem Vinh Tran; Viet Hung Vu; Yong-Sik Chun; Thanh Tam Nguyen; Jun Jo (RiTA, 2022)

High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression. - Hongjie Ke; Zhao Ren; Jianfei Qi; Shuo Chen; George C. Tseng; Zhenyao Ye; Tianzhou Ma (Bioinform., 2022)

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition. - Yi Chang 004; Sofiane Laridi; Zhao Ren; Gregory Palmer; Björn W. Schuller; Marco Fisichella (CoRR, 2022)

Cutting Through the Noise: An Empirical Comparison of Psychoacoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (CoRR, 2022)

Towards Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks. - Leonie Basso; Zhao Ren; Wolfgang Nejdl (CoRR, 2022)

Deep learning techniques for computer audition. - Zhao Ren (2022)

Efficient ECG-Based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks. - Leonie Basso; Zhao Ren; Wolfgang Nejdl (EUSIPCO, 2023)

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning. - Yi Chang 004; Zhao Ren; Thanh Tam Nguyen; Kun Qian 003; Björn W. Schuller (ICASSP, 2023)

Fast Yet Effective Speech Emotion Recognition with Self-Distillation. - Zhao Ren; Thanh Tam Nguyen; Yi Chang 004; Björn W. Schuller (ICASSP, 2023)

Cutting Through the Noise: An Empirical Comparison of Psycho-Acoustic and Envelope-based Features for Machinery Fault Detection. - Peter Wißbrock; Yvonne Richter; David Pelkmann; Zhao Ren; Gregory Palmer (ICASSP, 2023)

Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. - Meishu Song; Zijiang Yang 007; Andreas Triantafyllopoulos; Toru Nakamura; Yongxin Zhang; Zhao Ren; Hiroki Takeuchi; Akifumi Kishi; Tetsuro Ishizawa; Kazuhiro Yoshiuchi; Haojie Zhang; Kun Qian 003; et al. (ICDM (Workshops), 2023)

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention. - Thanh Toan Nguyen; Quang Duc Nguyen; Zhao Ren; Jun Jo 001; Quoc Viet Hung Nguyen; Thanh Tam Nguyen (IJCNN, 2023)

Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability. - Zhao Ren; Thanh Tam Nguyen; Mohammad Mehdi Zahedi; Wolfgang Nejdl (IJCNN, 2023)

An Overview of the ICASSP Special Session on AI Security and Privacy in Speech and Audio Processing. - Zhao Ren; Kun Qian 003; Tanja Schultz; Björn W. Schuller (MMAsia (Workshops), 2023)

Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. - Zhao Ren; Björn W. Schuller; Björn M. Eskofier; Thanh Tam Nguyen; Wolfgang Nejdl (IEEE J. Biomed. Health Informatics, 2023)

emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech Interfaces. - Qinhan Hou; Stefano van Gogh; Kevin Scheck; Zhao Ren; Tanja Schultz; Michael Wand 002; Jürgen Schmidhuber (EMBC, 2024)

Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech Conversion. - Zhao Ren; Kevin Scheck; Qinhan Hou; Stefano van Gogh; Michael Wand 002; Tanja Schultz (EMBC, 2024)

Cross-Speaker Training and Adaptation for Electromyography-to-Speech Conversion. - Kevin Scheck; Zhao Ren; Tom Dombeck; Jenny Sonnert; Stefano van Gogh; Qinhan Hou; Michael Wand 002; Tanja Schultz (EMBC, 2024)

Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition. - Chao Tan; Sheng Li 010; Yang Cao 011; Zhao Ren; Tanja Schultz (MMAsia, 2024)

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures. - Thanh Tam Nguyen; Thanh Trung Huynh; Zhao Ren; Thanh Toan Nguyen; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2024)

Speech Emotion Recognition under Resource Constraints with Data Distillation. - Yi Chang 004; Zhao Ren; Zhonghao Zhao; Thanh Tam Nguyen; Kun Qian 003; Tanja Schultz; Björn W. Schuller (CoRR, 2024)

Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances. - Lang Zeng; Weijing Tang; Zhao Ren; Ying Ding 003 (CoRR, 2024)

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era. - Thanh Tam Nguyen; Zhao Ren; Trinh Pham; Thanh Trung Huynh; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (CoRR, 2024)

Portable graph-based rumour detection against multi-modal heterophily. - Thanh Tam Nguyen; Zhao Ren; Thanh Thi Nguyen 001; Jun Jo 001; Quoc Viet Hung Nguyen; Hongzhi Yin (Knowl. Based Syst., 2024)

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. - Zhao Ren; Yi Chang 004; Thanh Tam Nguyen; Yang Tan 003; Kun Qian 003; Björn W. Schuller (IEEE Comput. Intell. Mag., 2024)

Privacy-preserving explainable AI: a survey. - Thanh Tam Nguyen; Thanh Trung Huynh; Zhao Ren; Thanh Toan Nguyen; Phi Le Nguyen; Hongzhi Yin; Quoc Viet Hung Nguyen (Sci. China Inf. Sci., 2025)

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. - Yi Chang 004; Zhao Ren; Zixing Zhang 001; Xin Jing; Kun Qian 003; Xi Shao; Bin Hu 001; Tanja Schultz; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)

End-to-end Acoustic-linguistic Emotion and Intent Recognition Enhanced by Semi-supervised Learning. - Zhao Ren; Rathi Adarshi Rammohan; Kevin Scheck; Sheng Li 010; Tanja Schultz (CoRR, 2025)