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Michael Li
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2020 – today
- 2024
- [i3]Tanush Chopra, Michael Li:
The House Always Wins: A Framework for Evaluating Strategic Deception in LLMs. CoRR abs/2407.00948 (2024) - 2023
- [c8]Dieterich Lawson, Michael Li, Scott W. Linderman:
NAS-X: Neural Adaptive Smoothing via Twisting. NeurIPS 2023 - [c7]Ben Prystawski, Michael Li, Noah D. Goodman:
Why think step by step? Reasoning emerges from the locality of experience. NeurIPS 2023 - [i2]Dieterich Lawson, Michael Li, Scott W. Linderman:
NAS-X: Neural Adaptive Smoothing via Twisting. CoRR abs/2308.14864 (2023) - 2022
- [c6]Michael Li, Qiping Zhang:
A Prototype Design and Usability Evaluation of a Chinese Educational System. HCI (21) 2022: 279-294 - 2021
- [j4]Daniel Robert Korn, Tesia M. Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene N. Muratov, Rada Chirkova, Chris Bizon, Alexander Tropsha:
COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. Bioinform. 37(4): 586-587 (2021) - [i1]Chie Furusawa, Shinya Kitaoka, Michael Li, Yuri Odagiri:
Generative Probabilistic Image Colorization. CoRR abs/2109.14518 (2021) - 2020
- [c5]Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh:
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI 2020: 5249-5251 - [c4]Michael Li, Catalin Tiseanu, Burkay Gur:
Build the State-of-the-Art Machine Learning Technology for the Crypto Economy. KDD 2020: 3605
2010 – 2019
- 2019
- [j3]Michael Li, Santoso Wibowo, William W. Guo:
Nonlinear Curve Fitting Using Extreme Learning Machines and Radial Basis Function Networks. Comput. Sci. Eng. 21(5): 6-15 (2019) - 2018
- [c3]Michael Li:
Bayesian Linear Regression Model for Curve Fitting. Intelligent Information Processing 2018: 363-372 - 2017
- [c2]Michael Li, Santoso Wibowo:
Bayesian Curve Fitting Based on RBF Neural Networks. ICONIP (4) 2017: 120-130 - 2015
- [j2]Michael Li, Xiaodong Wang:
Delay and rate satisfaction for data transmission with application in wireless communications. IEEE Netw. 29(5): 70-75 (2015)
2000 – 2009
- 2008
- [j1]Zhi-An Wang, Thomas Hillen, Michael Li:
Mesenchymal Motion Models in One Dimension. SIAM J. Appl. Math. 69(2): 375-397 (2008) - 2001
- [c1]Michael Li, Ted Selker:
Eye Pattern Analysis in Intelligent Virtual Agents. IVA 2001: 23-35
Coauthor Index
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