Zixuan Cao

According to our database, Zixuan Cao authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Deep neural network-based feature selection with local false discovery rate estimation.

Zixuan Cao, Xiaoya Sun, Yan Fu

Appl. Intell., January, 2025

2022

Lattice-theoretic three-way formal contexts and their concepts.

Ninghua Gao, Zixuan Cao, Qingguo Li, Wei Yao, Haojie Jiang

Soft Comput., 2022

An improved SSD method for infrared target detection based on convolutional neural network.

Gang Liu, Zixuan Cao, Sen Liu, Bin Song, Zhonghua Liu

J. Comput. Methods Sci. Eng., 2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning.

Zixuan Cao, Mengzhi Shi, Zhanbo Zhao, Xiujun Ma

CoRR, 2022

ML4CO-KIDA: Knowledge Inheritance in Data Aggregation.

Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou

CoRR, 2022

Pheromone-inspired Communication Framework for Large-scale Multi-agent Reinforcement Learning.

Zixuan Cao, Xiujun Ma, Mengzhi Shi, Zhanbo Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Deep transfer learning mechanism for fine-grained cross-domain sentiment classification.

Zixuan Cao, Yongmei Zhou, Aimin Yang, Sancheng Peng

Connect. Sci., 2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2019

Contextualized Word Representations with Effective Attention for Aspect-Based Sentiment Analysis.

Zixuan Cao, Yongmei Zhou, Aimin Yang, Jiahui Fu

Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019