Jiayin Wang

According to our database, Jiayin Wang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Understanding Internal Representations of Recommendation Models with Sparse Autoencoders.

Jiayin Wang, Xiaoyu Zhang, Weizhi Ma, Zhiqiang Guo, Min Zhang

ACM Trans. Inf. Syst., March, 2026

2025

GSE: Evaluating Sticker Visual Semantic Similarity via a General Sticker Encoder.

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang

CoRR, November, 2025

Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation.

Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang

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

Beyond Utility: Evaluating LLM as Recommender.

Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang

Proceedings of the ACM on Web Conference 2025, 2025

PerSRV: Personalized Sticker Retrieval with Vision-Language Model.

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang

Proceedings of the ACM on Web Conference 2025, 2025

U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization.

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach.

Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models.

Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renée Sieber

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Interpret the Internal States of Recommendation Model with Sparse Autoencoder.

Jiayin Wang, Xiaoyu Zhang, Weizhi Ma, Min Zhang

CoRR, 2024

A User-Centric Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

CoRR, 2024

Understanding User Experience in Large Language Model Interactions.

Jiayin Wang, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

CoRR, 2024

Large Language Models as Evaluators for Recommendation Explanations.

Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.

Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Measuring Item Global Residual Value for Fair Recommendation.

Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.

Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022