Development of Robust and Standardized Cantilever Sensors Based on Biotin/Neutravidin Coupling for Antibody Detection. - Jiayun Zhang; Hans Peter Lang; Felice Battiston; Natalija Backmann; Francois Huber; Christoph Gerber (Sensors, 2013)

DeepLoc: A Location Preference Prediction System for Online Lodging Platforms. - Yihan Ma 001; Hua Sun; Yang Chen 001; Jiayun Zhang; Yang Xu 010; Xin Wang 002; Pan Hui 001 (ChineseCSCW, 2019)

Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. - Qingyuan Gong; Jiayun Zhang; Yang Chen 001; Qi Li 002; Yu Xiao 001; Xin Wang 002; Pan Hui 001 (CIKM, 2019)

A System-Level Solution for Low-Power Object Detection. - Fanrong Li; Yang Zhang; Jian Cheng 001; Zitao Mo; Peisong Wang; Zejian Liu; Jiayun Zhang; Gang Li 015; Qinghao Hu 001; Xiangyu He; Cong Leng (ICCV Workshops, 2019)

Identifying Structural Hole Spanners in Online Social Networks Using Machine Learning. - Qingyuan Gong; Jiayun Zhang; Xin Wang 002; Yang Chen 001 (SIGCOMM Posters and Demos, 2019)

A video dataset of a wooden box assembly process: dataset. - Jiayun Zhang; Petr Byvshev; Yu Xiao 001 (DATA@SenSys, 2020)

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models. - Shawn Shan; Emily Wenger; Jiayun Zhang; Huiying Li 001; Haitao Zheng 001; Ben Y. Zhao (USENIX Security Symposium, 2020)

Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models. - Shawn Shan; Emily Wenger; Jiayun Zhang; Huiying Li 001; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2020)

Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks. - Huiying Li 001; Shawn Shan; Emily Wenger; Jiayun Zhang; Haitao Zheng 001; Ben Y. Zhao (CoRR, 2020)

Understanding the User Interactions on GitHub: A Social Network Perspective. - Erzheng Fu; Yingqiu Zhuang; Jianxi Zhang; Jiayun Zhang; Yang Chen 001 (CSCWD, 2021)

DeepPredict: A Zone Preference Prediction System for Online Lodging Platforms. - Yihan Ma 001; Hua Sun; Yang Chen 001; Jiayun Zhang; Yang Xu 010; Xin Wang 002; Pan Hui 001 (J. Soc. Comput., 2021)

Understanding the Working Time of Developers in IT Companies in China and the United States. - Jiayun Zhang; Yang Chen 001; Qingyuan Gong; Xin Wang 002; Aaron Yi Ding; Yu Xiao 001; Pan Hui 001 (IEEE Softw., 2021)

Optical Power Coverage Optimization for UAV-enabled Visible Light Communication. - Yanheng Liu 001; Jiao Lu; Geng Sun 001; Lingling Liu; Jiayun Zhang (ICC, 2022)

Task Offloading for Post-disaster Rescue in Vehicular Fog Computing-assisted UAV Networks. - Geng Sun 001; Long He; Zemin Sun; Jiayun Zhang; Jiahui Li 002 (MSN, 2022)

Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks. - Huiying Li 001; Shawn Shan; Emily Wenger; Jiayun Zhang; Haitao Zheng 001; Ben Y. Zhao (USENIX Security Symposium, 2022)

Unleashing the Power of Shared Label Structures for Human Activity Recognition. - Xiyuan Zhang 001; Ranak Roy Chowdhury; Jiayun Zhang; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (CIKM, 2023)

Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. - Jiayun Zhang; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (IJCAI, 2023)

Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. - Jiayun Zhang; Xiyuan Zhang 001; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (KDD, 2023)

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)

Federated Learning with Client-Exclusive Classes. - Jiayun Zhang; Xiyuan Zhang 001; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (CoRR, 2023)

Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. - Qingyuan Gong; Yushan Liu; Jiayun Zhang; Yang Chen 001; Qi Li 002; Yu Xiao 001; Xin Wang 002; Pan Hui 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. - Chenyang An; Zhibo Chen 009; Qihao Ye; Emily First; Letian Peng; Jiayun Zhang; Zihan Wang 001; Sorin Lerner; Jingbo Shang (ACL (1), 2024)

How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. - Jiayun Zhang; Shuheng Li; Haiyu Huang 003; Zihan Wang 001; Xiaohan Fu; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (WWW, 2024)

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. - Aiden Lewington; Alekhya Vittalam; Anshumaan Singh; Anuja Uppuluri; Arjun Ashok; Ashrith Mandayam Athmaram; Austin Milt; Benjamin Smith; Charlie Weinberger; Chatanya Sarin; Christoph Bergmeir; Cliff Chang; et al. (CoRR, 2024)

Understanding Work Rhythms in Software Development and Their Effects on Technical Performance. - Jiayun Zhang; Qingyuan Gong; Yang Chen 001; Yu Xiao 001; Xin Wang 002; Aaron Yi Ding (IET Softw., 2024)

Toward an accurate mobility trajectory recovery using contrastive learning. - Yushan Liu; Yang Chen 001; Jiayun Zhang; Yu Xiao 001; Xin Wang 002 (Frontiers Inf. Technol. Electron. Eng., 2024)

Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR. - Shuheng Li; Jiayun Zhang; Xiaohan Fu; Xiyuan Zhang 001; Jingbo Shang; Rajesh K. Gupta 001 (SenSys, 2025)

REACT: Residual-Adaptive Contextual Tuning for Fast Model Adaptation in Threat Detection. - Jiayun Zhang; Junshen Xu; Bugra Can; Yi Fan (WWW, 2025)

Orthogonal Calibration for Asynchronous Federated Learning. - Jiayun Zhang; Shuheng Li; Haiyu Huang 003; Xiaofan Yu; Rajesh K. Gupta 001; Jingbo Shang (CoRR, 2025)

Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns. - Jiayun Zhang; Xinyang Zhang 002; Dezhi Hong; Rajesh K. Gupta 001; Jingbo Shang (IEEE Trans. Knowl. Data Eng., 2025)

Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data. - Calvin Kammerlander; Viola Kolb; Marinus Luegmair; Lou Scheermann; Maximilian Schmailzl; Marco Seufert; Jiayun Zhang; Denis Dalic; Torsten Schön (CoRR, 2025)