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)

Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks. - Siddiq Latif; Farrukh Pervez; Muhammad Usama; Junaid Qadir 001 (CoRR, 2017)

How 5G (and concomitant technologies) will revolutionize healthcare. - Siddique Latif; Junaid Qadir 001; Shahzad Farooq; Muhammad Ali Imran 001 (CoRR, 2017)

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

How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare? - Siddique Latif; Junaid Qadir 001; Shahzad Farooq; Muhammad Ali Imran 001 (Future Internet, 2017)

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages. - Siddique Latif; Adnan Qayyum; Muhammad Usman 026; Junaid Qadir 001 (FIT, 2018)

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)

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)

Using Deep Autoencoders for Facial Expression Recognition. - Muhammad Usman Ilyas; Siddique Latif; Junaid Qadir 001 (CoRR, 2018)

Exploring Media Bias and Toxicity in South Asian Political Discourse. - Adnan Qayyum; Zafar Gilani; Siddique Latif; Junaid Qadir 001; Jat Singh (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)

Community detection in networks: A multidisciplinary review. - Muhammad Aqib Javed; Muhammad Shahzad Younis; Siddique Latif; Junaid Qadir 001; Adeel Baig (J. Netw. Comput. Appl., 2018)

Unsupervised Adversarial Domain Adaptation for Cross-Lingual Speech Emotion Recognition. - Siddique Latif; Junaid Qadir 001; Muhammad Bilal 005 (ACII, 2019)

Early Student Grade Prediction: An Empirical Study. - Zafar Iqbal; Adnan Qayyum; Siddique Latif; Junaid Qadir 001 (ICACS, 2019)

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

Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems. - Muhammad Usama; Muhammad Asim 005; Siddique Latif; Junaid Qadir 001; Ala I. Al-Fuqaha (IWCMC, 2019)

Soft Computing Techniques for Dependable Cyber-Physical Systems. - Muhammad Atif; Siddique Latif; Rizwan Ahmad; Adnan Khalid Kiani; Junaid Qadir 001; Adeel Baig; Hisao Ishibuchi; Waseem Abbas (IEEE Access, 2019)

Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding. - Muhammad Usman 026; Siddique Latif; Muhammad Asim 005; Junaid Qadir 001 (CoRR, 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)

Blockchain And The Future of the Internet: A Comprehensive Review. - Fakhar ul Hassan; Anwaar Ali; Siddique Latif; Junaid Qadir 001; Salil S. Kanhere; Jatinder Singh; Jon Crowcroft (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)

Caveat Emptor: The Risks of Using Big Data for Human Development. - Siddique Latif; Adnan Qayyum; Muhammad Usama; Junaid Qadir 001; Andrej J. Zwitter; Muhammad Shahzad (IEEE Technol. Soc. Mag., 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)

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)

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)

Leveraging Data Science to Combat COVID-19: A Comprehensive Review. - Siddique Latif; Muhammad Usman 026; Sanaullah Manzoor; Waleed Iqbal; Junaid Qadir 001; Gareth Tyson; Ignacio Castro; Adeel Razi; Maged N. Kamel Boulos; Adrian Weller; Jon Crowcroft (IEEE Trans. Artif. Intell., 2020)

Controlling Prosody in End-to-End TTS: A Case Study on Contrastive Focus Generation. - Siddique Latif; Inyoung Kim; Ioan Calapodescu; Laurent Besacier (CoNLL, 2021)

Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing. - Hafiz Shehbaz Ali; Fakhar ul Hassan; Siddique Latif; Habib Ullah Manzoor; Junaid Qadir 001 (ICC Workshops, 2021)

Multi-task learning from Unlabelled Data to Improve Cross Language Speech Emotion Recognition. - Hafiz Shehbaz Ali; Siddique Latif (SMM, 2022)

MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection. - Muhammad Usman 026; Azka Rehman; Abdullah Shahid; Siddique Latif; Shi Sub Byon; Byoung-Dai Lee; Sung Hyun Kim; Byung IlLee; Yeong-Gil Shin (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)

A Preliminary Study on Augmenting Speech Emotion Recognition using a Diffusion Model. - Mohammad Ibrahim Malik; Siddique Latif; Raja Jurdak; Björn W. Schuller (INTERSPEECH, 2023)

Breaking Barriers: Can Multilingual Foundation Models Bridge the Gap in Cross-Language Speech Emotion Recognition? - Moazzam Shoukat; Muhammad Usama; Hafiz Shehbaz Ali; Siddique Latif (SNAMS, 2023)

Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation. - Abdullah Shahid; Siddique Latif; Junaid Qadir 001 (CoRR, 2023)

Transformers in Speech Processing: A Survey. - Siddique Latif; Aun Zaidi; Heriberto Cuayáhuitl; Fahad Shamshad; Moazzam Shoukat; Junaid Qadir 001 (CoRR, 2023)

MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan. - Muhammad Usman 026; Azka Rehman; Abdullah Shahid; Siddique Latif; Shi Sub Byon; Sung Hyun Kim; Tariq Mahmood Khan; Yeong-Gil Shin (CoRR, 2023)

Lightweight Toxicity Detection in Spoken Language: A Transformer-based Approach for Edge Devices. - Ahlam Husni Abu Nada; Siddique Latif; Junaid Qadir 001 (CoRR, 2023)

Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing. - Ibrahim Malik; Siddique Latif; Sanaullah Manzoor; Muhammad Usama; Junaid Qadir 001; Raja Jurdak (CoRR, 2023)

Cross-Language Speech Emotion Recognition Using Multimodal Dual Attention Transformers. - Syed Aun Muhammad Zaidi; Siddique Latif; Junaid Qadir 001 (CoRR, 2023)

Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers. - Siddique Latif; Muhammad Usama; Mohammad Ibrahim Malik; Björn W. Schuller (CoRR, 2023)

Sparks of Large Audio Models: A Survey and Outlook. - Siddique Latif; Moazzam Shoukat; Fahad Shamshad; Muhammad Usama; Yi Ren; Heriberto Cuayáhuitl; Wenwu Wang 001; Xulong Zhang 001; Roberto Togneri; Erik Cambria; Björn W. Schuller (CoRR, 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)

Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation. - Azka Rehman; Muhammad Usman 026; Abdullah Shahid; Siddique Latif; Junaid Qadir 001 (Sensors, 2023)

A survey on deep reinforcement learning for audio-based applications. - Siddique Latif; Heriberto Cuayáhuitl; Farrukh Pervez; Fahad Shamshad; Hafiz Shehbaz Ali; Erik Cambria (Artif. Intell. Rev., 2023)

Evaluating Transformer-Enhanced Deep Reinforcement Learning for Speech Emotion Recognition. - Siddique Latif; Raja Jurdak; Björn W. Schuller (INTERSPEECH, 2024)

MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection. - Muhammad Usman 026; Azka Rehman; Abdullah Shahid; Siddique Latif; Yeong-Gil Shin (Eng. Appl. Artif. Intell., 2024)

Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare. - Farrukh Pervez; Moazzam Shoukat; Varsha Suresh; Muhammad Umar Bin Farooq; Moid Sandhu; Adnan Qayyum; Muhammad Usama; Anna M. Girardi; Siddique Latif; Junaid Qadir 001 (IEEE Open J. Comput. Soc., 2024)

Affective Computing and the Road to an Emotionally Intelligent Metaverse. - Farrukh Pervez; Moazzam Shoukat; Muhammad Usama; Moid Sandhu; Siddique Latif; Junaid Qadir 001 (IEEE Open J. Comput. Soc., 2024)

Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers. - Syed Aun Muhammad Zaidi; Siddique Latif; Junaid Qadir 001 (IEEE Open J. Comput. Soc., 2024)

Transformers in speech processing: Overcoming challenges and paving the future. - Siddique Latif; Syed Aun Muhammad Zaidi; Heriberto Cuayáhuitl; Fahad Shamshad; Moazzam Shoukat; Muhammad Usama; Junaid Qadir 001 (Comput. Sci. Rev., 2025)

Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers [Research Frontier]. - Siddique Latif; Muhammad Usama; Mohammad Ibrahim Malik; Björn W. Schuller (IEEE Comput. Intell. Mag., 2025)