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2020 – today
- 2024
[j3]Bin Li, Vivian Li, Miao Li, John Li, Jiaqi Yang:
An adaptive transmission strategy based on cloud computing in IoV architecture. EURASIP J. Wirel. Commun. Netw. 2024(1): 13 (2024)- [c7]John Li
, Nanxi Chen, Jinyuan Jia:
Lightweight Web3D Twinning Fire Evacuation Simulation of Metro Station. Web3D 2024: 6:1-6:10 - [i3]Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - [i2]John Li, Shehab Sarar Ahmed, Deepak Nair:
FrameCorr: Adaptive, Autoencoder-based Neural Compression for Video Reconstruction in Resource and Timing Constrained Network Settings. CoRR abs/2409.02453 (2024) - 2023
- [j2]John Li, Maria Pantoja, Gerardo Fernández-Escribano:
Reliable adaptive distributed hyperparameter optimization (RadHPO) for deep learning training and uncertainty estimation. J. Supercomput. 79(10): 10677-10690 (2023) - [j1]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:
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. 34(6): 1727-1730 (2023) - [c6]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:
Peachy Parallel Assignments (EduHPC 2023). SC Workshops 2023: 366-373 - [c5]Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. SC Workshops 2023: 391-394
2010 – 2019
- 2019
- [i1]Daniel Borkan, Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Limitations of Pinned AUC for Measuring Unintended Bias. CoRR abs/1903.02088 (2019) - 2018
- [c4]Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Measuring and Mitigating Unintended Bias in Text Classification. AIES 2018: 67-73
2000 – 2009
- 2005
- [c3]John Li, Deborah Nichols, Allan Terry:
Analogy, Deduction and Learning. HICSS 2005 - 2004
- [c2]Jim Reynolds, Adam Pease, John Li:
Analogy and Deduction for Knowledge Discovery. IKE 2004: 39-48 - 2003
- [c1]Adam Pease, John Li:
Agent-Mediated Knowledge Engineering Collaboration. AMKM 2003: 405-415
Coauthor Index
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