Energy efficient information collection in wireless sensor networks using adaptive compressive sensing. - Chun Tung Chou; Rajib Kumar Rana; Wen Hu 001 (LCN, 2009)

Ear-Phone assessment of noise pollution with mobile phones. - Rajib Kumar Rana; Chun Tung Chou; Salil S. Kanhere; Nirupama Bulusu; Wen Hu 001 (SenSys, 2009)

Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks. - Rajib Kumar Rana; Wen Hu 001; Chun Tung Chou (EWSN, 2010)

Ear-phone: an end-to-end participatory urban noise mapping system. - Rajib Kumar Rana; Chun Tung Chou; Salil S. Kanhere; Nirupama Bulusu; Wen Hu 001 (IPSN, 2010)

Compressive Sensing for Gait Recognition. - Sabesan Sivapalan; Rajib Kumar Rana; Daniel Chen 002; Sridha Sridharan; Simon Denman; Clinton Fookes (DICTA, 2011)

An Adaptive Algorithm for Compressive Approximation of Trajectory (AACAT) for Delay Tolerant Networks. - Rajib Kumar Rana; Wen Hu 001; Tim Wark; Chun Tung Chou (EWSN, 2011)

Sparse Temporal Representations for Facial Expression Recognition. - Sien W. Chew; Rajib Rana; Patrick Lucey; Simon Lucey; Sridha Sridharan (PSIVT (2), 2011)

Addressing three wireless sensor network challenges using sparse approximation methods. - Rajib Kumar Rana (2011)

Distributed sparse approximation for frog sound classification. - Bo Wei 003; Mingrui Yang; Rajib Kumar Rana; Chun Tung Chou; Wen Hu 001 (IPSN, 2012)

Determination of Activities of Daily Living of independent living older people using environmentally placed sensors. - Qing Zhang 001; Mohan Karunanithi; Rajib Rana; Jiajun Liu (EMBC, 2013)

Experiences with Sensors for Energy Efficiency in Commercial Buildings. - Branislav Kusy; Rajib Kumar Rana; Philip Valencia; Raja Jurdak; Josh Wall (REALWSN, 2013)

Real-time classification via sparse representation in acoustic sensor networks. - Bo Wei 003; Mingrui Yang; Yiran Shen 001; Rajib Kumar Rana; Chun Tung Chou; Wen Hu 001 (SenSys, 2013)

Passive In-home Estimation of Gait Velocity From Motion Sensors. - Rajib Rana; Daniel Austin; Peter G. Jacobs; Mohanraj Karunanithi; Jeffrey A. Kaye (CoRR, 2013)

Signal Reconstruction from Rechargeable Wireless Sensor Networks using Sparse Random Projections. - Rajib Kumar Rana; Wen Hu 001; Chun Tung Chou (CoRR, 2013)

A Deterministic Construction of Projection matrix for Adaptive Trajectory Compression. - Rajib Kumar Rana; Mingrui Yang; Tim Wark; Chun Tung Chou; Wen Hu 001 (CoRR, 2013)

Continuous Gait Velocity Estimation using Houseohld Motion Detectors. - Rajib Rana; Daniel Austin; Peter G. Jacobs; Mohanraj Karunanithi; Jeffrey A. Kaye (CoRR, 2014)

Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control. - Rajib Kumar Rana; Brano Kusy; Josh Wall; Wen Hu 001 (CoRR, 2014)

SimpleTrack: Adaptive Trajectory Compression with Deterministic Projection Matrix for Mobile Sensor Networks. - Rajib Kumar Rana; Mingrui Yang; Tim Wark; Chun Tung Chou; Wen Hu 001 (CoRR, 2014)

Guiding Ebola Patients to Suitable Health Facilities: An SMS-based Approach. - Mohamad Trad; Raja Jurdak; Rajib Kumar Rana (CoRR, 2014)

Transforming knowledge capture in healthcare: Opportunistic and Context-aware affect Sensing on Smartphones. - Rajib Kumar Rana; Margee Hume; John Reilly; Raja Jurdak; Jeffrey Soar (CoRR, 2015)

wHealth - Transforming Telehealth Services. - Rajib Kumar Rana; Margee Hume; John Reilly; Jeffrey Soar (CoRR, 2015)

Sparse Bayesian Learning for EEG Source Localization. - Sajib Saha; Frank de Hoog; Yakov Nesterets; Rajib Rana; Murat Tahtali; Timur E. Gureyev (CoRR, 2015)

Ear-Phone: A context-aware noise mapping using smart phones. - Rajib Kumar Rana; Chun Tung Chou; Nirupama Bulusu; Salil S. Kanhere; Wen Hu 001 (Pervasive Mob. Comput., 2015)

A Model for Automated Affect Recognition on Smartphone-Cloud Architecture. - Ying Su; Rajib Kumar Rana; Frank Whittaker; Jeffrey Soar (ICOST, 2016)

Poster: Context-driven Mood Mining. - Rajib Rana (MobiSys (Companion Volume), 2016)

CScrypt: A Compressive-Sensing-Based Encryption Engine for the Internet of Things: Demo Abstract. - Wanli Xue; Chengwen Luo 001; Rajib Kumar Rana; Wen Hu 001; Aruna Seneviratne (SenSys, 2016)

Emotion Classification from Noisy Speech - A Deep Learning Approach. - Rajib Rana (CoRR, 2016)

Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech. - Rajib Rana (CoRR, 2016)

Opportunistic and Context-Aware Affect Sensing on Smartphones. - Rajib Kumar Rana; Margee Hume; John Reilly; Raja Jurdak; Jeffrey Soar (IEEE Pervasive Comput., 2016)

wHealth - Transforming Telehealth Services. - Rajib Kumar Rana; Margee Hume; John Reilly; Sabesan Sivapalan; Jeffrey Soar (EAI Endorsed Trans. Scalable Inf. Syst., 2016)

Kryptein: a compressive-sensing-based encryption scheme for the internet of things. - Wanli Xue; Chengwen Luo 001; Guohao Lan; Rajib Kumar Rana; Wen Hu 001; Aruna Seneviratne (IPSN, 2017)

Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study. - Siddiq Latif; Rajib Rana; Junaid Qadir 001; Anwaar Ali; Muhammad Ali Imran 001; Muhammad Shahzad Younis (IEEE Access, 2017)

IEEE Access Special Section Editorial: Health Informatics for the Developing World. - Junaid Qadir 001; Muhammad Mujeeb-U.-Rahman; Mubashir Husain Rehmani; Al-Sakib Khan Pathan; Muhammad Ali Imran 001; Amir Hussain 001; Rajib Rana; Bin Luo 001 (IEEE Access, 2017)

Variational Autoencoders for Learning Latent Representations of Speech Emotion. - Siddique Latif; Rajib Rana; Junaid Qadir 001; Julien Epps (CoRR, 2017)

EEG source localization using a sparsity prior based on Brodmann areas. - Sajib Saha; Yakov Nesterets; Rajib Rana; Murat Tahtali; Frank de Hoog; Timur Gureyev (Int. J. Imaging Syst. Technol., 2017)

Evaluating the performance of BSBL methodology for EEG source localization on a realistic head model. - Sajib Saha; Rajib Rana; Yakov Nesterets; Murat Tahtali; Frank de Hoog; Timur Gureyev (Int. J. Imaging Syst. Technol., 2017)

Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study. - Siddique Latif; Rajib Rana; Junaid Qadir 001; Julien Epps (INTERSPEECH, 2018)

Transfer Learning for Improving Speech Emotion Classification Accuracy. - Siddique Latif; Rajib Rana; Shahzad Younis; Junaid Qadir 001; Julien Epps (INTERSPEECH, 2018)

A Novel Framework for Distress Detection through an Automated Speech Processing System. - Rajib Rana; Raj Gururajan; Geraldine Mackenzie; Jeff Dunn; Anthony Gray; Xujuan Zhou; Prabal Datta Barua; Julien Epps; Gerald Michael Humphris (WI, 2018)

Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention. - Kazi Nazmul Haque; Mohammad Abu Yousuf; Rajib Rana (CoRR, 2018)

Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique. - Siddique Latif; Rajib Rana; Shahzad Younis; Junaid Qadir 001; Julien Epps (CoRR, 2018)

Abnormal Heartbeat Detection Using Recurrent Neural Networks. - Siddique Latif; Muhammad Usman 026; Junaid Qadir 001; Rajib Rana (CoRR, 2018)

Automating Motion Correction in Multishot MRI Using Generative Adversarial Networks. - Siddique Latif; Muhammad Asim 005; Muhammad Usman 026; Junaid Qadir 001; Rajib Rana (CoRR, 2018)

Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness. - Siddique Latif; Rajib Rana; Junaid Qadir 001 (CoRR, 2018)

Direct Modelling of Speech Emotion from Raw Speech. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Julien Epps (INTERSPEECH, 2019)

Automated Screening for Distress: A Perspective for the Future. - Rajib Rana; Siddique Latif; Raj Gururajan; Anthony Gray; Geraldine Mackenzie; Gerald Michael Humphris; Jeff Dunn (CoRR, 2019)

Disentangled Representation Learning with Information Maximizing Autoencoder. - Kazi Nazmul Haque; Siddique Latif; Rajib Rana (CoRR, 2019)

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion. - Rajib Rana; Siddique Latif; Sara Khalifa; Raja Jurdak; Julien Epps (CoRR, 2019)

Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition. - Thejan Rajapakshe; Rajib Rana; Siddique Latif; Sara Khalifa; Björn W. Schuller (CoRR, 2019)

Augmenting Generative Adversarial Networks for Speech Emotion Recognition. - Siddique Latif; Muhammad Asim 005; Rajib Rana; Sara Khalifa; Raja Jurdak; Björn W. Schuller (INTERSPEECH, 2020)

Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Björn W. Schuller (INTERSPEECH, 2020)

Poster Abstract: Federated Learning for Speech Emotion Recognition Applications. - Siddique Latif; Sara Khalifa; Rajib Rana; Raja Jurdak (IPSN, 2020)

High-Fidelity Audio Generation and Representation Learning With Guided Adversarial Autoencoder. - Kazi Nazmul Haque; Rajib Rana; Björn W. Schuller (IEEE Access, 2020)

Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Junaid Qadir 001; Björn W. Schuller (CoRR, 2020)

Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data. - Kazi Nazmul Haque; Rajib Rana; Björn W. Schuller (CoRR, 2020)

Deep Reinforcement Learning with Pre-training for Time-efficient Training of Automatic Speech Recognition. - Thejan Rajapakshe; Siddique Latif; Rajib Rana; Sara Khalifa; Björn W. Schuller (CoRR, 2020)

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. - Kazi Nazmul Haque; Rajib Rana; Jiajun Liu; John H. L. Hansen; Nicholas Cummins; Carlos Busso; Björn W. Schuller (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things. - Wanli Xue; Chengwen Luo 001; Yiran Shen 001; Rajib Rana; Guohao Lan; Sanjay Jha 001; Aruna Seneviratne; Wen Hu 001 (IEEE Trans. Mob. Comput., 2021)

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Jiajun Liu; Björn W. Schuller (ACSW, 2022)

SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning. - Vipula Dissanayake; Sachith Seneviratne; Rajib Rana; Elliott Wen; Tharindu Kaluarachchi; Suranga Nanayakkara (IEEE Access, 2022)

Domain Adapting Speech Emotion Recognition modals to real-world scenario with Deep Reinforcement Learning. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa (CoRR, 2022)

AI-Based Emotion Recognition: Promise, Peril, and Prescriptions for Prosocial Path. - Siddique Latif; Hafiz Shehbaz Ali; Muhammad Usama; Rajib Rana; Björn W. Schuller; Junaid Qadir 001 (CoRR, 2022)

Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Julien Epps; Björn W. Schuller (IEEE Trans. Affect. Comput., 2022)

Improving Speech Emotion Recognition Performance using Differentiable Architecture Search. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller (CoRR, 2023)

Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation. - Chung Soo Ahn; Jagath C. Rajapakse; Rajib Rana (CoRR, 2023)

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering. - Shamane Siriwardhana; Rivindu Weerasekera; Tharindu Kaluarachchi; Elliott Wen; Rajib Rana; Suranga Nanayakkara (Trans. Assoc. Comput. Linguistics, 2023)

Survey of Deep Representation Learning for Speech Emotion Recognition. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Junaid Qadir 001; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition. - Siddique Latif; Rajib Rana; Sara Khalifa; Raja Jurdak; Björn W. Schuller (IEEE Trans. Affect. Comput., 2023)

Emotion Intensity and its Control for Emotional Voice Conversion. - Kun Zhou 003; Berrak Sisman; Rajib Rana; Björn W. Schuller; Haizhou Li 001 (IEEE Trans. Affect. Comput., 2023)

Speech Synthesis With Mixed Emotions. - Kun Zhou 003; Berrak Sisman; Rajib Rana; Björn W. Schuller; Haizhou Li 001 (IEEE Trans. Affect. Comput., 2023)

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review. - Elias Hossain; Rajib Rana; Niall Higgins; Jeffrey Soar; Prabal Datta Barua; Anthony R. Pisani; Kathryn Turner (Comput. Biol. Medicine, 2023)

Domain Adapting Deep Reinforcement Learning for Real-World Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Björn W. Schuller (IEEE Access, 2024)

emoDARTS: Joint Optimization of CNN and Sequential Neural Network Architectures for Superior Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller; Carlos Busso (IEEE Access, 2024)

emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Sara Khalifa; Berrak Sisman; Björn W. Schuller; Carlos Busso (CoRR, 2024)

A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition. - Ali Ezati; Mohammadreza Dezyani; Rajib Rana; Roozbeh Rajabi; Ahmad Ayatollahi (CoRR, 2024)

Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning. - Rajib Rana; Niall Higgins; Kazi Nazmul Haque; John Reilly; Kylie Burke; Kathryn Turner; Terry Stedman (CoRR, 2024)

Raw Audio Classification with Cosine Convolutional Neural Network (CosCovNN). - Kazi Nazmul Haque; Rajib Rana; Tasnim Jarin; Björn W. Schuller (CoRR, 2024)

Dual-phase neural networks for feature extraction and ensemble learning for recognizing human health activities. - Joy Dhar; Kapil Rana; Puneet Goyal; Azadeh Alavi; Rajib Rana; Bao Quoc Vo; Sudeepta Mishra; Sajib Mistry (Appl. Soft Comput., 2025)

Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition. - Thejan Rajapakshe; Rajib Rana; Farina Riaz; Sara Khalifa; Björn W. Schuller (CoRR, 2025)

FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification. - Jun Bai; Rajib Rana; Di Wu 050; Youyang Qu; Xiaohui Tao 001; Ji Zhang 001 (CoRR, 2025)