Qinyang He

According to our database, Qinyang He authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation.

Kaibei Li, Yihao Zhang, Qinyang He, Xiaokang Li

Knowl. Inf. Syst., December, 2026

Latent Diffusion Model for Social Recommendation.

Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Wei Zhou

IEEE Trans. Syst. Man Cybern. Syst., May, 2026

Multi-round self-optimization with large language models for conversational recommendation.

Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Xibin Wang

Appl. Intell., April, 2026

Prototype learning based hierarchical decoupling for multimodal recommendation.

Jiangchuan Liu, Yihao Zhang, Qinyang He, Ran Yang, Xibin Wang, Wei Zhou

Expert Syst. Appl., 2026

Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations.

Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou

Eng. Appl. Artif. Intell., 2026

ScotRec: Social Chain-of-Thought LLM Reasoning for Recommendation.

Kaibei Li, Jie Zou, Qika Lin, Weikang Guo, Qinyang He, Yang Yang

Proceedings of the ACM Web Conference 2026, 2026

2025

SAGkit: A Python SAG Toolkit for Response Time Analysis of Hybrid-Triggered Jobs.

Ruide Cao, Zhuyun Qi, Qinyang He, Chenxi Ling, Yi Wang, Guoming Tang

CoRR, November, 2025

Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards.

Katherine B. Adams, Justin J. Boutilier, Qinyang He, Yonatan Mintz

CoRR, August, 2025

Adversarial regularized diffusion model for fair recommendations.

Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou

Neural Networks, 2025

Smooth diffusion model for multimodal recommendation.

Qinyang He, Kaibei Li, Yihao Zhang, Xiaokang Li, Wei Zhou

Knowl. Based Syst., 2025

2024

Poster Abstract: Extending Schedule-Abstraction Graph for Event-Triggered Response-Time Analysis.

Ruide Cao, Qinyang He, Yi Wang, Zhuyun Qi

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints.

Qinyang He, Yonatan Mintz

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Model Based Reinforcement Learning for Personalized Heparin Dosing.

Qinyang He, Yonatan Mintz

CoRR, 2023