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Shuheng Li
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2020 – today
- 2024
- [c4]Jiayun Zhang
, Shuheng Li
, Haiyu Huang
, Zihan Wang
, Xiaohan Fu
, Dezhi Hong
, Rajesh K. Gupta
, Jingbo Shang
:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - [i5]Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K. Gupta, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Imprompter: Tricking LLM Agents into Improper Tool Use. CoRR abs/2410.14923 (2024) - [i4]Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
UniMTS: Unified Pre-training for Motion Time Series. CoRR abs/2410.19818 (2024) - [i3]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, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu:
Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. CoRR abs/2412.06936 (2024) - 2023
- [i2]Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR abs/2310.03185 (2023) - 2022
- [j2]Xiangnan Ni, Wei Guo, Xiaoting Li
, Shuheng Li:
Heterogeneity of Increases in Net Primary Production under Intensified Human Activity and Climate Variability on the Loess Plateau of China. Remote. Sens. 14(19): 4706 (2022) - [c3]Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. SenSys 2022: 277-290 - 2021
- [c2]Shuheng Li, Ranak Roy Chowdhury
, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. SenSys 2021: 234-247 - 2020
- [c1]Shuheng Li, Dezhi Hong, Hongning Wang:
Relation Inference among Sensor Time Series in Smart Buildings with Metric Learning. AAAI 2020: 4683-4690
2010 – 2019
- 2019
- [j1]Yinghao Li, Qiumei Pu
, Shuheng Li, Hong Zhang, Xiaofeng Wang
, Haodong Yao, Lina Zhao
:
Machine learning methods for research highlight prediction in biomedical effects of nanomaterial application. Pattern Recognit. Lett. 117: 111-118 (2019) - [i1]Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun:
Recursive Graphical Neural Networks for Text Classification. CoRR abs/1909.08166 (2019)
Coauthor Index
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