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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Published in 2017 IEEE Third International Conference on Multimedia Big Data, 2017
Recommended citation: Kevin Desai, Uriel Haile Hernndez Belmonte, Rong Jin, Balakrishnan Prabhakaran, Paul Diehl, Victor Ayala Ramirez, Vinu Johnson, and Murry Gans. 2017 IEEE Third International Conference on Multimedia Big Data (BigMM 2017).
Published in 2017 IEEE International Symposium on Multimedia, 2017
Recommended citation: Kevin Desai, Suraj Raghuraman, Rong Jin, and Balakrishnan Prabhakaran. 2017 IEEE International Symposium on Multimedia (ISM 2017).
Published in In proceedings of the 3rdInternational Workshop on Interactive and Spatial Computing, 2018
Recommended citation: Lakshmi Sharma, Rong Jin, Balakrishnan Prabhakaran, and Murry Gans. In proceedings of the 3rdInternational Workshop on Interactive and Spatial Computing (IWISC 2018).
Published in In proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2019
Recommended citation: Midori Kitagawa, Paul Fishwick, Michael Kesden, Mary Urquhart, Rosanna Guadagno, Rong Jin, Ngoc Tran, Erik Omogbehin, Aditya Prakash, Priyanka Awaraddi, Baily Hale, Ken Suura, Aniket Raj, James Stanfield, and Henry Vo. In proceedings of the 2019 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS 2019).
Published in Book Black Box Optimization, Machine Learning and No-Free Lunch Theorems, 2020
The black box was an important tool in study of computational complexity theory and is used for establishing the hardness of problems. The data-driven makes it be utilized as a tool for proving solutions for some computational problems. In this note, we present several observations for this new role of reduction.
Recommended citation: Rong Jin, Weili Wu, My T. Thai, and Ding-Zhu Du. Book Black Box Optimization, Machine Learning and No-Free Lunch Theorems.
Published in The 14th Annual International Conference on Combinatorial Optimization and Applications, 2020
Recommended citation: Shengminjie Chen, Wenguo Yang, Suixiang Gao, and Rong Jin. The 14th Annual International Conference on Combinatorial Optimization and Applications (COCOA 2020).
Published in Journal of Combinatorial Optimization, 2020
Recommended citation: Qiufen Ni, Smita Ghosh, Chuanhe Huang, Weili Wu, and Rong Jin. Journal of Combinatorial Optimization (JOCO).
Published in Theoretical Computer Science, 2020
Recommended citation: Shengminjie Chen, Wenguo Yang, Suixiang Gao, and Rong Jin. Theoretical Computer Science.
Published in Discrete Mathematics, Algorithms and Applications, 2021
Recommended citation: Rong Jin, and Weili Wu. Discrete Mathematics, Algorithms and Applications.
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