Feasibility of B-mode diagnostic ultrasonic energy transfer and telemetry to a cm2 sized deep-tissue implant. - Biyi Fang; Tao Feng; Mi Zhang 002; Shantanu Chakrabartty (ISCAS, 2015)

AirSense: an intelligent home-based sensing system for indoor air quality analytics. - Biyi Fang; Qiumin Xu; Taiwoo Park; Mi Zhang 002 (UbiComp, 2016)

HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Fahim Kawsar (IPSN, 2016)

BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Aidan Boran; Fahim Kawsar (MobiSys, 2016)

Poster: Towards Radio-based Sensing on Wearables. - Biyi Fang; Nicholas D. Lane; Mi Zhang 002; Aidan Boran; Fahim Kawsar (MobiSys (Companion Volume), 2016)

Demo: Towards Immersive and Interactive Gym Exercises. - Fazlay Rabbi; Taiwoo Park; Biyi Fang; Mi Zhang 002; Youngki Lee 001; Rajiv Ranganathan (MobiSys (Companion Volume), 2016)

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation. - Biyi Fang; Jillian Co; Mi Zhang 002 (SenSys, 2017)

NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. - Biyi Fang; Xiao Zeng; Mi Zhang 002 (MobiCom, 2018)

A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations. - Biyi Fang; Diego Klabjan (CoRR, 2018)

When Virtual Reality Meets Internet of Things in the Gym: Enabling Immersive Interactive Machine Exercises. - Fazlay Rabbi; Taiwoo Park; Biyi Fang; Mi Zhang 002; Youngki Lee 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. - Shen Yan; Biyi Fang; Faen Zhang; Yu Zheng 022; Xiao Zeng; Mi Zhang 002; Hui Xu (ICCV Workshops, 2019)

Convergence Analyses of Online ADAM Algorithm in Convex Setting and Two-Layer ReLU Neural Network. - Biyi Fang; Diego Klabjan (CoRR, 2019)

FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision. - Biyi Fang; Xiao Zeng; Faen Zhang; Hui Xu; Mi Zhang 002 (SEC, 2020)

Distream: scaling live video analytics with workload-adaptive distributed edge intelligence. - Xiao Zeng; Biyi Fang; Haichen Shen; Mi Zhang 002 (SenSys, 2020)

Deep Learning in the Era of Edge Computing: Challenges and Opportunities. - Mi Zhang 002; Faen Zhang; Nicholas D. Lane; Yuanchao Shu; Xiao Zeng; Biyi Fang; Shen Yan; Hui Xu (CoRR, 2020)

Neural Network Compression Via Sparse Optimization. - Tianyi Chen; Bo Ji 003; Yixin Shi; Tianyu Ding; Biyi Fang; Sheng Yi; Xiao Tu (CoRR, 2020)

Only Train Once: A One-Shot Neural Network Training And Pruning Framework. - Tianyi Chen; Bo Ji 003; Tianyu Ding; Biyi Fang; Guanyi Wang; Zhihui Zhu; Luming Liang; Yixin Shi; Sheng Yi; Xiao Tu (NeurIPS, 2021)

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content. - Apurva Gandhi; Ryan Serrao; Biyi Fang; Gilbert Antonius; Jenna Hong; Tra My Nguyen; Sheng Yi; Ehi Nosakhare; Irene Shaffer; Soundararajan Srinivasan (EMNLP (Industry Track), 2022)

Tricks and Plugins to GBM on Images and Sequences. - Biyi Fang; Jean Utke; Diego Klabjan (CoRR, 2022)

Topic Analysis for Text with Side Data. - Biyi Fang; Kripa Rajshekhar; Diego Klabjan (CoRR, 2022)

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content. - Apurva Gandhi; Ryan Serrao; Biyi Fang; Gilbert Antonius; Jenna Hong; Tra My Nguyen; Sheng Yi; Ehi Nosakhare; Irene Shaffer; Soundararajan Srinivasan; Vivek Gupta (CoRR, 2022)

Stochastic Large-scale Machine Learning Algorithms with Distributed Features and Observations. - Biyi Fang; Diego Klabjan; Truong Vo (IEEE Big Data, 2024)

Subgrid BoostCNN: Efficient Boosting of Convolutional Networks via Gradient-Guided Feature Selection. - Biyi Fang; Jean Utke; Truong Vo; Diego Klabjan (CoRR, 2025)

BoostTransformer: Enhancing Transformer Models with Subgrid Selection and Importance Sampling. - Biyi Fang; Jean Utke; Truong Vo; Diego Klabjan (CoRR, 2025)