John Li

14 papers C 2Misc 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
An adaptive transmission strategy based on cloud computing in IoV architecture.
EURASIP J. Wirel. Commun. Netw.
Bin Li, Vivian Li, Miao Li, John Li, Jiaqi Yang
2024 C conf
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings.
ISM
John Li, Deepak Nair, Klara Nahrstedt, Indranil Gupta, Shehab Sarar Ahmed
2024 J jnl
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings.
CoRR
John Li, Shehab Sarar Ahmed, Deepak Nair
2024 — conf
Lightweight Web3D Twinning Fire Evacuation Simulation of Metro Station.
Web3D
John Li, Nanxi Chen, Jinyuan Jia
2024 — conf
Web3D-Based Lightweight Simulation for Mass Evacuation at Transportation Hubs.
CGI (1)
John Li, Zhicheng Liu, Feng Tian, Jinyuan Jia
2023 J jnl
Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team From UC San Diego.
IEEE Trans. Parallel Distributed Syst.
Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Bryan Chin, Xiaochen Li, Maximilian Apodaca, Paul Rodríguez, Mahidhar Tatineni, Mary P. Thomas, Santosh Bhatt
2023 — conf
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification.
SC Workshops
Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja
2023 — conf
Peachy Parallel Assignments (EduHPC 2023).
SC Workshops
H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego García-Álvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde
2023 J jnl
Reliable adaptive distributed hyperparameter optimization (RadHPO) for deep learning training and uncertainty estimation.
J. Supercomput.
John Li, Maria Pantoja, Gerardo Fernández-Escribano
2019 J jnl
Limitations of Pinned AUC for Measuring Unintended Bias.
CoRR
Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2018 C conf
Measuring and Mitigating Unintended Bias in Text Classification.
AIES
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman
2005 — conf
Analogy, Deduction and Learning.
HICSS
John Li, Deborah Nichols, Allan Terry
2004 Misc conf
Analogy and Deduction for Knowledge Discovery.
IKE
Jim Reynolds, Adam Pease, John Li
2003 — conf
Agent-Mediated Knowledge Engineering Collaboration.
AMKM
Adam Pease, John Li