Yunqin Zhu

According to our database, Yunqin Zhu authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Generative models for decision-making under distributional shift.

Xiuyuan Cheng, Yunqin Zhu, Yao Xie

CoRR, April, 2026

Why Do Neural Networks Forget: A Study of Collapse in Continual Learning.

Yunqin Zhu, Jun Jin

CoRR, March, 2026

2025

Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients.

Xiaoyang Feng, Yantao Ma, Sikai Ruan, Liangkun Guo, Jun Ji, Yuyanan Zhang, Yaoyao Sun, Zhe Lu, Zhewei Kang, Yundan Liao, Junyuan Sun, Guorui Zhao, Rui Yuan, Yunqin Zhu, Zhiying Li, Yue Zhu, Shuzhe Zhou, Lili Guan, Gary S. Sachs, Fava Maurizio, Xin Yu, Weihua Yue

J. Big Data, December, 2025

Worst-case generation via minimax optimization in Wasserstein space.

Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu

CoRR, December, 2025

Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition.

Yunqin Zhu, Henry Shaowu Yuchi, Yao Xie

CoRR, May, 2025

2024

Graph Signal Diffusion Model for Collaborative Filtering.

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Predicting Sales Lift of Influencer-generated Short Video Advertisements: A Ladder Attention-based Multimodal Time Series Forecasting Framework.

Zhe Fu, Kanlun Wang, Jianfei Wang, Yunqin Zhu

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Towards Graph-Aware Diffusion Modeling for Collaborative Filtering.

Yunqin Zhu, Chao Wang, Hui Xiong

CoRR, 2023