Optimal quantization of likelihood for low complexity sequential testing. - Diyan Teng; Emre Ertin (GlobalSIP, 2013)

Learning to Aggregate Information for Sequential Inferences. - Diyan Teng; Emre Ertin (CoRR, 2015)

ECG feature detection using randomly compressed samples for stable HRV analysis over low rate links. - Ju Gao; Diyan Teng; Emre Ertin (BSN, 2016)

WALD-Kernel: A method for learning sequential detectors. - Diyan Teng; Emre Ertin (SSP, 2016)

A New Direction for Biosensing: RF Sensors for Monitoring Cardio-Pulmonary Function. - Ju Gao; Siddharth Baskar; Diyan Teng; Mustafa al'Absi; Santosh Kumar 001; Emre Ertin (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

A Probabilistic Approach for Heart Rate Variability Analysis Using Explicit Duration Hidden Markov Models. - Ju Gao; Diyan Teng; Emre Ertin (SSP, 2018)

Model enhancement and personalization using weakly supervised learning for multi-modal mobile sensing. - Diyan Teng; Rashmi Kulkarni; Justin McGloin (CoRR, 2019)

Physics-Informed Data Denoising for Real-Life Sensing Systems. - Xiyuan Zhang 001; Xiaohan Fu; Diyan Teng; Chengyu Dong; Keerthivasan Vijayakumar; Jiayun Zhang; Ranak Roy Chowdhury; Junsheng Han; Dezhi Hong; Rashmi Kulkarni; Jingbo Shang; Rajesh K. Gupta 001 (SenSys, 2023)

UniMTS: Unified Pre-training for Motion Time Series. - Xiyuan Zhang 001; Diyan Teng; Ranak Roy Chowdhury; Shuheng Li; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (NeurIPS, 2024)

ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition. - Ranak Roy Chowdhury; Ritvik Kapila; Ameya Panse; Xiyuan Zhang 001; Diyan Teng; Rashmi Kulkarni; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (AAAI, 2025)