Jiayin Wang

19 papers A* 7A 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding Internal Representations of Recommendation Models with Sparse Autoencoders.
ACM Trans. Inf. Syst.
Jiayin Wang, Xiaoyu Zhang, Weizhi Ma, Zhiqiang Guo, Min Zhang
2025 A* conf
Beyond Utility: Evaluating LLM as Recommender.
WWW
Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang
2025 J jnl
GSE: Evaluating Sticker Visual Semantic Similarity via a General Sticker Encoder.
CoRR
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang
2025 — conf
Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation.
WWW (Companion Volume)
Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang
2025 A* conf
PerSRV: Personalized Sticker Retrieval with Vision-Language Model.
WWW
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang
2025 A* conf
Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach.
ACM Multimedia
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Min Zhang
2025 A* conf
U-Sticker: A Large-Scale Multi-Domain User Sticker Dataset for Retrieval and Personalization.
SIGIR
Heng Er Metilda Chee, Jiayin Wang, Zhiqiang Guo, Weizhi Ma, Qinglang Guo, Min Zhang
2025 — conf
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models.
ACL (Findings)
Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renée Sieber
2025 J jnl
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models.
CoRR
Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renée Sieber
2024 J jnl
A User-Centric Benchmark for Evaluating Large Language Models.
CoRR
Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie
2024 A* conf
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models.
EMNLP
Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie
2024 J jnl
Beyond Utility: Evaluating LLM as Recommender.
CoRR
Chumeng Jiang, Jiayin Wang, Weizhi Ma, Charles L. A. Clarke, Shuai Wang, Chuhan Wu, Min Zhang
2024 J jnl
Interpret the Internal States of Recommendation Model with Sparse Autoencoder.
CoRR
Jiayin Wang, Xiaoyu Zhang, Weizhi Ma, Min Zhang
2024 A conf
Large Language Models as Evaluators for Recommendation Explanations.
RecSys
Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang
2024 J jnl
Large Language Models as Evaluators for Recommendation Explanations.
CoRR
Xiaoyu Zhang, Yishan Li, Jiayin Wang, Bowen Sun, Weizhi Ma, Peijie Sun, Min Zhang
2024 J jnl
Understanding User Experience in Large Language Model Interactions.
CoRR
Jiayin Wang, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie
2023 A* conf
Measuring Item Global Residual Value for Fair Recommendation.
SIGIR
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
2023 J jnl
Measuring Item Global Residual Value for Fair Recommendation.
CoRR
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang
2022 A* conf
Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution.
KDD
Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma