Menglin Kong

According to our database, Menglin Kong authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

CFTNet: a robust credit card fraud detection model enhanced by counterfactual data augmentation.

Menglin Kong, Ruichen Li, Jia Wang, Xingquan Li, Shengzhong Jin, Wanying Xie, Muzhou Hou, Cong Cao

Neural Comput. Appl., May, 2024

C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement.

Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification.

Jiaoju Wang, Jiewen Luo, Alphonse Houssou Hounye, Zheng Wang, Jiehui Liang, Yangbo Cao, Jing Feng, Lingjie Tan, Zhengcheng Wang, Menglin Kong, Muzhou Hou, Jinshen He

Neural Comput. Appl., September, 2023

A novel automatic acne detection and severity quantification scheme using deep learning.

Jiaoju Wang, Chong Wang, Zheng Wang, Alphonse Houssou Hounye, Zhaoying Li, Menglin Kong, Muzhou Hou, Jianglin Zhang, Min Qi

Biomed. Signal Process. Control., July, 2023

DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems.

Menglin Kong, Muzhou Hou, Shaojie Zhao, Feng Liu, Ri Su, Yinghao Chen

CoRR, 2023

FaFCNN: A General Disease Classification Framework Based on Feature Fusion Neural Networks.

Menglin Kong, Shaojie Zhao, Juan Cheng, Xingquan Li, Ri Su, Muzhou Hou, Cong Cao

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning.

Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou

Proceedings of the International Joint Conference on Neural Networks, 2023

Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm.

Menglin Kong, Ruichen Li, Fan Liu, Xingquan Li, Juan Cheng, Muzhou Hou, Cong Cao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023