Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. - Menglin Kong; Ruichen Li; Fan Liu; Xingquan Li; Juan Cheng; Muzhou Hou; Cong Cao 003 (ICANN (8), 2023)

DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. - Menglin Kong; Ri Su; Shaojie Zhao; Muzhou Hou (IJCNN, 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 003 (SMC, 2023)

A novel automatic acne detection and severity quantification scheme using deep learning. - Jiaoju Wang; Chong Wang; Zheng Wang 047; Alphonse Houssou Hounye; Zhaoying Li; Menglin Kong; Muzhou Hou; Jianglin Zhang; Min Qi (Biomed. Signal Process. Control., 2023)

A decoupled generative adversarial network for anterior cruciate ligament tear localization and quantification. - Jiaoju Wang; Jiewen Luo; Alphonse Houssou Hounye; Zheng Wang 047; Jiehui Liang; Yangbo Cao; Jing Feng; Lingjie Tan; Zhengcheng Wang; Menglin Kong; Muzhou Hou; Jinshen He (Neural Comput. Appl., 2023)

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 003 (PAKDD (5), 2024)

C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. - Menglin Kong; Jia Wang 009; Yushan Pan; Haiyang Zhang 004; Muzhou Hou (WSDM, 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 003 (Biomed. Signal Process. Control., 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)

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)

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 003 (Neural Comput. Appl., 2024)

Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems. - Xiang-Yang Li 001; Li Fan; Chenke Yin; Menglin Kong; Chengtao Ji (CoRR, 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 003 (Multim. Tools Appl., 2025)

Personalized music recommendation algorithm based on machine learning. - Lanhui Liu; Menglin Kong; Cong Cao 003; Zhanjie Shu; Kecheng Liu; Xingquan Li; Muzhou Hou (Multim. Syst., 2025)

Large Language Models for Data Synthesis. - Yihong Tang; Menglin Kong; Lijun Sun (CoRR, 2025)

Dynamic Modes as Time Representation for Spatiotemporal Forecasting. - Menglin Kong; Vincent Zhihao Zheng; Xudong Wang; Lijun Sun (CoRR, 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 009; Siwen Jiao; Hao Ye; Zihao Sheng; et al. (CoRR, 2025)

Frequency-Constrained Learning for Long-Term Forecasting. - Menglin Kong; Vincent Zhihao Zheng; Lijun Sun (CoRR, 2025)

Dual prototype attentive graph network for cross-market recommendation. - Li Fan; Menglin Kong; Xiang-Yang Li 001; Chong Zhang; Chengtao Ji (CoRR, 2025)