Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Yuhui Shi

Yuhui Shi
Alert button

PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization


Dec 12, 2022
Qiqi Duan, Guochen Zhou, Chang Shao, Zhuowei Wang, Mingyang Feng, Yijun Yang, Qi Zhao, Yuhui Shi

Add code
Alert button

* 5 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer


Oct 09, 2022
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li

Add code
Alert button

Figure 1 for Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Figure 2 for Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Figure 3 for Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Figure 4 for Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
* Accepted by COLING 2022. The 29th International Conference on Computational Linguistics, Gyeongju, Republic of Korea 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Evolutionary Multiparty Distance Minimization


Jul 27, 2022
Zeneng She, Wenjian Luo, Xin Lin, Yatong Chang, Yuhui Shi

Add code
Alert button

Figure 1 for Evolutionary Multiparty Distance Minimization
Figure 2 for Evolutionary Multiparty Distance Minimization
Figure 3 for Evolutionary Multiparty Distance Minimization
Figure 4 for Evolutionary Multiparty Distance Minimization

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Toward multi-target self-organizing pursuit in a partially observable Markov game


Jun 24, 2022
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin

Add code
Alert button

Figure 1 for Toward multi-target self-organizing pursuit in a partially observable Markov game
Figure 2 for Toward multi-target self-organizing pursuit in a partially observable Markov game
Figure 3 for Toward multi-target self-organizing pursuit in a partially observable Markov game
Figure 4 for Toward multi-target self-organizing pursuit in a partially observable Markov game

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Single-shot Embedding Dimension Search in Recommender System


Apr 15, 2022
Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin

Add code
Alert button

Figure 1 for Single-shot Embedding Dimension Search in Recommender System
Figure 2 for Single-shot Embedding Dimension Search in Recommender System
Figure 3 for Single-shot Embedding Dimension Search in Recommender System
Figure 4 for Single-shot Embedding Dimension Search in Recommender System

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems


Apr 08, 2022
Qi Zhao, Bai Yan, Yuhui Shi

Add code
Alert button

Figure 1 for AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Figure 2 for AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Figure 3 for AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Figure 4 for AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

AutoML for Deep Recommender Systems: A Survey


Mar 25, 2022
Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin

Add code
Alert button

Figure 1 for AutoML for Deep Recommender Systems: A Survey
Figure 2 for AutoML for Deep Recommender Systems: A Survey
Figure 3 for AutoML for Deep Recommender Systems: A Survey
Figure 4 for AutoML for Deep Recommender Systems: A Survey

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments


Jan 06, 2022
Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi

Add code
Alert button

Figure 1 for Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Figure 2 for Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Figure 3 for Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Figure 4 for Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>