Zonal Air Handling in Commercial Buildings. - Xiaohan Fu; Jason Koh; Francesco Fraternali; Dezhi Hong; Rajesh K. Gupta 001 (BuildSys, 2020)

Learning reduced systems via deep neural networks with memory. - Xiaohan Fu; Lo-Bin Chang; Dongbin Xiu (CoRR, 2020)

B2RL: an open-source dataset for building batch reinforcement learning. - Hsin-Yu Liu; Xiaohan Fu; Bharathan Balaji; Rajesh Gupta 001; Dezhi Hong (BuildSys, 2022)

Modeling unknown dynamical systems with hidden parameters. - Xiaohan Fu; Weize Mao; Lo-Bin Chang; Dongbin Xiu (CoRR, 2022)

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)

BEAR-Data: Analysis and Applications of an Open Multizone Building Dataset. - Yuexin Bian; Xiaohan Fu; Bo Liu; Rohith Rachala; Rajesh K. Gupta 001; Yuanyuan Shi (BuildSys, 2023)

Debugging Buildings with Mixed Reality. - Xiaohan Fu; John Pedraz; Anthony Rowe 001; Rajesh Gupta 001 (BuildSys, 2023)

A foolish consistency? Aligning interface objects hinders location recall and may induce collinear errors. - Peter Zelchenko; Xiangqian Li; Xiaohan Fu; Alex Ivanov; Zhenyu Gu (CoRR, 2023)

Misusing Tools in Large Language Models With Visual Adversarial Examples. - Xiaohan Fu; Zihan Wang 001; Shuheng Li; Rajesh K. Gupta 001; Niloofar Mireshghallah; Taylor Berg-Kirkpatrick; Earlence Fernandes (CoRR, 2023)

Playground: A Safe Building Operating System. - Xiaohan Fu; Yihao Liu; Jason Koh; Dezhi Hong; Rajesh Gupta 001; Gabe Fierro (ICCPS, 2024)

Demo Abstract: Playground, A Safe Building Operating System. - Xiaohan Fu; Yihao Liu; Jason Koh; Dezhi Hong; Rajesh Gupta 001; Gabe Fierro (ICCPS, 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)

Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach. - Yuexin Bian; Xiaohan Fu; Rajesh K. Gupta 001; Yuanyuan Shi (CoRR, 2024)

Imprompter: Tricking LLM Agents into Improper Tool Use. - Xiaohan Fu; Shuheng Li; Zihan Wang 001; Yihao Liu; Rajesh K. Gupta 001; Taylor Berg-Kirkpatrick; Earlence Fernandes (CoRR, 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)

Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-Based Prompt Injection Attacks via the Fine-Tuning Interface. - Andrey Labunets; Nishit V. Pandya; Ashish Hooda; Xiaohan Fu; Earlence Fernandes (SP, 2025)

Computing Optimization-Based Prompt Injections Against Closed-Weights Models By Misusing a Fine-Tuning API. - Andrey Labunets; Nishit V. Pandya; Ashish Hooda; Xiaohan Fu; Earlence Fernandes (CoRR, 2025)

Training Language Models to Generate Quality Code with Program Analysis Feedback. - Feng Yao; Zilong Wang 002; Liyuan Liu; Junxia Cui; Li Zhong; Xiaohan Fu; Haohui Mai; Vish Krishnan; Jianfeng Gao 001; Jingbo Shang (CoRR, 2025)