Mingjia Yin

According to our database, Mingjia Yin authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective.

Jiancheng Wang, Mingjia Yin, Hao Wang, Enhong Chen

CoRR, April, 2026

DIET: Learning to Distill Dataset Continually for Recommender Systems.

Jiaqing Zhang, Hao Wang, Mingjia Yin, Bo Chen, Qinglin Jia, Rui Zhou, Ruiming Tang, ChaoYi Ma, Enhong Chen

CoRR, March, 2026

Why Thinking Hurts? Diagnosing and Rectifying the Reasoning Shift in Foundation Recommender Models.

Luankang Zhang, Yonghao Huang, Hang Lv, Mingjia Yin, Liangyue Li, Zulong Chen, Hao Wang, Enhong Chen

CoRR, February, 2026

Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control.

Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen

CoRR, February, 2026

Generative Data Transformation: From Mixed to Unified Data.

Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

Enhancing CTR Prediction with De-correlated Expert Networks.

Jiancheng Wang, Mingjia Yin, Junwei Pan, Ximei Wang, Hao Wang, Enhong Chen

CoRR, May, 2025

MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation.

Hao Wang, Mingjia Yin, Luankang Zhang, Sirui Zhao, Enhong Chen

ACM Trans. Inf. Syst., March, 2025

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.

Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen

Proceedings of the ACM on Web Conference 2025, 2025

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models.

Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Entropy Law: The Story Behind Data Compression and LLM Performance.

Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

CoRR, 2024

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.

Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen

CoRR, 2024

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.

Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Dataset Regeneration for Sequential Recommendation.

Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.

Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024

2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.

Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

MOEA/D-Based Probabilistic PBI Approach for Risk-Based Optimal Operation of Hybrid Energy System With Intermittent Power Uncertainty.

Huifeng Zhang, Dong Yue, Wenbin Yue, Kang Li, Mingjia Yin

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