Shuheng Li
Ph.D. Candidate at University of California, San Diego
shl060 [AT] ucsd.edu
Bio
I am a 5th year Ph.D. candidate majoring in Computer Science at UC San Diego, advised by Professor Rajesh Gupta and Professor Jingbo Shang.
My research focuses on applying machine learning techniques to IoT data, including wearable sensors, wireless sensing signals, motion signals and building sensors. I am particularly interested in real-world system challenges including data scarcity, training efficiency and system heterogeneity etc.. I also have work experiences about LLM with an emphasis on the security side (adversarial examples training).
Publications
Imprompter: Tricking LLM Agents into Improper Tool Use
Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes
In Submission to USENIX 2025
UniMTS: Unified Pre-training for Motion Time Series
Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
NeurIPS 2024
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments
Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K Gupta, Jingbo Shang
WWW 2024
Misusing Tools in Large Language Models with Visual Adversarial Examples
Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes
Arxiv Preprint
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification
Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
SenSys 2022
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification
Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong
SenSys 2021
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning
Shuheng Li, Dezhi Hong, Hongning Wang
AAAI 2020
Recursive Graphical Neural Networks for Text Classification
Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun
Arxiv Preprint
Awards
UCSD DataPlanet Fellowship, 2023 - 2024
SenSys Travel Grant, 2021
Academic Excellence Award, Peking University, 2017
Academic Excellence Award, Peking University, 2016
Services
Conference Reviewer: KDD'24, AAAI'23'24, WWW'24'25
Journal Reviewer: ACM Transactions on Intelligent Systems and Technology (TIST)
Teaching: TA for CSE 158A: Web Mining and Recommender Systems
Acknowledgement
This website design is based on the template from Martin Saveski and the edit from Xiyuan Zhang.