| 2025 | CIKM | Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions. | Yang Xiang, Li Fan, Chenke Yin, Menglin Kong, Chengtao Ji |
| 2025 | ICCV | A Survey on Vision-Language-Action Models for Autonomous Driving. | Sicong Jiang, Menglin Kong, Yihong Tang, Lijun Sun, Kangan Qian, Ziang Luo, Tianze Zhu, Yunlong Wang, Xin Zhao, Tuopu Wen, Zheng Fu, Yang Zhong, Siwen Jiao, Hao Ye, Zilin Huang, Zihao Sheng, Sikai Chen, Seongjin Choi, Kun Jiang, Diange Yang |
| 2025 | ICONIP | Dual Prototype Attentive Graph Network for Cross-Market Recommendation. | Li Fan, Menglin Kong, Yang Xiang, Chong Zhang, Chengtao Ji |
| 2024 | PAKDD | 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 |
| 2024 | WSDM | C²DR: Robust Cross-Domain Recommendation based on Causal Disentanglement. | Menglin Kong, Jia Wang, Yushan Pan, Haiyang Zhang, Muzhou Hou |
| 2023 | ICANN | Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm. | Menglin Kong, Ruichen Li, Fan Liu, Xingquan Li, Juan Cheng, Muzhou Hou, Cong Cao |
| 2023 | IJCNN | DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning. | Menglin Kong, Ri Su, Shaojie Zhao, Muzhou Hou |
| 2023 | SMC | 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 |