Yi Gao

According to our database, Yi Gao authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Data Augmentation With Regularization for Multi-Labeled Complementary Label Learning.

Yi Gao, Yuan-Yuan Meng, Miao Xu, Min-Ling Zhang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025

Multi-Label Learning With Multiple Complementary Labels.

Yi Gao, Jing-Yi Zhu, Miao Xu, Min-Ling Zhang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

ComRank: Ranking Loss for Multi-Label Complementary Label Learning.

Jing-Yi Zhu, Yi Gao, Miao Xu, Min-Ling Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Complementary to Multiple Labels: A Correlation-Aware Correction Approach.

Yi Gao, Miao Xu, Min-Ling Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Unlearning from Weakly Supervised Learning.

Yi Tang, Yi Gao, Yonggang Luo, Jucheng Yang, Miao Xu, Min-Ling Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning.

Yi Gao, Miao Xu, Min-Ling Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

MKPM: Multi keyword-pair matching for natural language sentences.

Xin Lu, Yao Deng, Ting Sun, Yi Gao, Jun Feng, Xia Sun, Richard F. E. Sutcliffe

Appl. Intell., 2022

2021

Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification.

Xia Sun, Yi Gao, Richard F. E. Sutcliffe, Shou Xi Guo, Xin Wang, Jun Feng

IEEE Trans. Syst. Man Cybern. Syst., 2021

GRU-based capsule network with an improved loss for personnel performance prediction.

Xia Xue, Yi Gao, Meng Liu, Xia Sun, Wenyu Zhang, Jun Feng

Appl. Intell., 2021

Discriminative Complementary-Label Learning with Weighted Loss.

Yi Gao, Min-Ling Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A parallel neural network structure for sentiment classification of MOOCs discussion forums.

Yi Gao, Xia Sun, Xin Wang, Shou Xi Guo, Jun Feng

J. Intell. Fuzzy Syst., 2020

2019

Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction.

Xia Xue, Jun Feng, Yi Gao, Meng Liu, Wenyu Zhang, Xia Sun, Aiqi Zhao, Shou Xi Guo

Entropy, 2019

Attention-Based Character-Word Hybrid Neural Networks With Semantic and Structural Information for Identifying of Urgent Posts in MOOC Discussion Forums.

Shou Xi Guo, Xia Sun, Shixiong Wang, Yi Gao, Jun Feng

IEEE Access, 2019

CLMS-Net: dropout prediction in MOOCs with deep learning.

Nannan Wu, Lei Zhang, Yi Gao, Mingfei Zhang, Xia Sun, Jun Feng

Proceedings of the ACM Turing Celebration Conference - China, 2019

2018

Research on Tobacco-related Information Screening Algorithm Based on Deep Convolution Network.

Yang Yang, Jingting Xu, Yi Gao, Ke Dong, Wenwen Yang

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018