Yinan Zhang

According to our database, Yinan Zhang authored at least 21 papers between 2017 and 2026.

Collaborative distances:

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

2026

Emulating Clinician Cognition via Self-Evolving Deep Clinical Research.

Ruiyang Ren, Yuhao Wang, Yunsen Liang, Lan Luo, Jing Liu, Haifeng Wang, Cong Feng, Yinan Zhang, Chunyan Miao, Ji-Rong Wen, Wayne Xin Zhao

CoRR, March, 2026

Following the TRAIL: Predicting and Explaining Tomorrow's Hits with a Fine-Tuned LLM.

Yinan Zhang, Zhixi Chen, Jiazheng Jing, Zhiqi Shen

Proceedings of the ACM Web Conference 2026, 2026

2025

Beyond Traditional Diagnostics: Transforming Patient-Side Information into Predictive Insights with Knowledge Graphs and Prototypes.

Yibowen Zhao, Yinan Zhang, Zhixiang Su, Lizhen Cui, Chunyan Miao

CoRR, December, 2025

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions.

Hongyu Zhou, Yinan Zhang, Aixin Sun, Zhiqi Shen

CoRR, August, 2025

Haodf Doctor Recommendation Dataset.

Jiazheng Jing, Yinan Zhang, Ping Chen, Zhenchao Tao, Zhiqi Shen

Dataset, January, 2025

GreenBites: A Real-Time Diet Assistant for Sustainable Health and Eco-Friendly Living.

Yang Qiu, Yinan Zhang, Hongyu Zhou, Bo Huang, Zhiqi Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate.

Jiazheng Jing, Yinan Zhang, Chunyan Miao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender.

Ping Chen, Jonathan Leung, Yinan Zhang, Zhiqi Shen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

GreenRec: A Large-Scale Dataset for Green Food Recommendation.

Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Enabling Patient-side Disease Prediction via the Integration of Patient Narratives.

Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao, Zhiqi Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Transferable and curious AI in sequential recommendation

Yinan Zhang

PhD thesis, 2023

Learning Hierarchical Review Graph Representations for Recommendation.

Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang

IEEE Trans. Knowl. Data Eng., 2023

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation.

Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen

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

2022

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference.

Yinan Zhang, Boyang Li, Yong Liu, You Yuan, Chunyan Miao

CoRR, 2022

2021

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.

Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.

Yong Liu, Zhiqi Shen, Yinan Zhang, Lizhen Cui

Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

2020

Learning Hierarchical Review Graph Representation for Recommendation.

Susen Yang, Yong Liu, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang

CoRR, 2020

Learning Personalized Itemset Mapping for Cross-Domain Recommendation.

Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.

Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan

CoRR, 2019

2018

CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger.

Yinan Zhang, Lizhen Cui, Jiwei Huang, Chunyan Miao

Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

2017

Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.

Chang Liu, Yinan Zhang, Lei Liu, Lizhen Cui, Dong Yuan, Chunyan Miao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017