Menglin Kong

According to our database, Menglin Kong authored at least 19 papers between 2023 and 2025.

Collaborative distances:

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

2025

Dual prototype attentive graph network for cross-market recommendation.

Li Fan, Menglin Kong, Xiang-Yang Li, Chong Zhang, Chengtao Ji

CoRR, August, 2025

Frequency-Constrained Learning for Long-Term Forecasting.

Menglin Kong, Vincent Zhihao Zheng, Lijun Sun

CoRR, August, 2025

A Survey on Vision-Language-Action Models for Autonomous Driving.

Sicong Jiang, Zilin Huang, Kangan Qian, Ziang Luo, Tianze Zhu, Yang Zhong, Yihong Tang, Menglin Kong, Yunlong Wang, Siwen Jiao, Hao Ye, Zihao Sheng, Xin Zhao, Tuopu Wen, Zheng Fu, Sikai Chen, Kun Jiang, Diange Yang, Seongjin Choi, Lijun Sun

CoRR, June, 2025

Dynamic Modes as Time Representation for Spatiotemporal Forecasting.

Menglin Kong, Vincent Zhihao Zheng, Xudong Wang, Lijun Sun

CoRR, June, 2025

Large Language Models for Data Synthesis.

Yihong Tang, Menglin Kong, Lijun Sun

CoRR, May, 2025

Personalized music recommendation algorithm based on machine learning.

Lanhui Liu, Menglin Kong, Cong Cao, Zhanjie Shu, Kecheng Liu, Xingquan Li, Muzhou Hou

Multim. Syst., April, 2025

SCARNet: using convolution neural network to predict time series with time-varying variance.

Shaojie Zhao, Menglin Kong, Ruichen Li, Alphonse Houssou Hounye, Ri Su, Muzhou Hou, Cong Cao

Multim. Tools Appl., March, 2025

Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems.

Xiang-Yang Li, Li Fan, Chenke Yin, Menglin Kong, Chengtao Ji

CoRR, February, 2025

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

PHCDTI: A multichannel parallel high-order feature crossover model for DTIs prediction.

Yuqing Ye, Xiao Zhang, Menglin Kong, Haokun Hu, Zhendong Xu

Expert Syst. Appl., 2024

DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems.

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

Expert Syst. Appl., 2024

A novel automatic detection and classification algorithm for elderly cognitive impairment using CSVM.

Weiying Zheng, Menglin Kong, Ruichen Li, Li Xiong, Xingquan Li, Muzhou Hou, Cong Cao

Biomed. Signal Process. Control., 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

Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation.

Menglin Kong, Li Fan, Shengze Xu, Xingquan Li, Muzhou Hou, Cong Cao

Proceedings of the Advances in Knowledge Discovery 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

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