Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. - Rasool Fakoor; Xiaodong He 001; Ivan Tashev; Shuayb Zarar (CoRR, 2017)

Precision Scaling of Neural Networks for Efficient Audio Processing. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (CoRR, 2017)

A Wearable System for Articulated Human Pose Tracking Under Uncertainty of Sensor Placement. - Xuesu Xiao; Shuayb Zarar (BioRob, 2018)

Packet loss concealment with recurrent neural networks for wireless inertial pose tracking. - Xuesu Xiao; Shuayb Zarar (BSN, 2018)

Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. - Rasool Fakoor; Xiaodong He 001; Ivan Tashev; Shuayb Zarar (ICASSP, 2018)

Limiting Numerical Precision of Neural Networks to Achieve Real-Time Voice Activity Detection. - Jong Hwan Ko; Josh Fromm; Matthai Philipose; Ivan Tashev; Shuayb Zarar (ICASSP, 2018)

A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-Channel Speech Enhancement and Recognition. - Yanhui Tu; Ivan Tashev; Shuayb Zarar; Chin-Hui Lee (ICASSP, 2018)

Convolutional-Recurrent Neural Networks for Speech Enhancement. - Han Zhao 002; Shuayb Zarar; Ivan Tashev; Chin-Hui Lee (ICASSP, 2018)

Machine Learning for Placement-Insensitive Inertial Motion Capture. - Xuesu Xiao; Shuayb Zarar (ICRA, 2018)

Sensor Fusion for Learning-based Tracking of Controller Movement in Virtual Reality. - Chen Song; Shuayb Zarar (EUSIPCO, 2019)

Cross Modal Audio Search and Retrieval with Joint Embeddings Based on Text and Audio. - Benjamin Elizalde; Shuayb Zarar; Bhiksha Raj (ICASSP, 2019)

CompAct: On-chip Compression of Activations for Low Power Systolic Array Based CNN Acceleration. - Jeff Jun Zhang; Parul Raj; Shuayb Zarar; Amol Ambardekar; Siddharth Garg (ACM Trans. Embed. Comput. Syst., 2019)

Guest Editorial: AI Enabled Connected Health Informatics. - Shuayb Zarar; Georgia D. Tourassi; Chris D. Nugent (IEEE J. Biomed. Health Informatics, 2019)

Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems. - Jeff Zhang 001; Sameh Elnikety; Shuayb Zarar; Atul Gupta; Siddharth Garg (HotCloud, 2020)