Jujia Zhao

According to our database, Jujia Zhao authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Cold-Starts in Generative Recommendation: A Reproducibility Study.

Zhen Zhang, Jujia Zhao, Xinyu Ma, Xin Xin, Maarten de Rijke, Zhaochun Ren

CoRR, March, 2026

ReportLogic: Evaluating Logical Quality in Deep Research Reports.

Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren

CoRR, February, 2026

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning.

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

CoRR, January, 2026

2025

Deep Research: A Systematic Survey.

Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren

CoRR, December, 2025

Report on the 2nd Search Futures Workshop at ECIR 2025.

Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao

SIGIR Forum, June, 2025

Unifying Search and Recommendation: A Generative Paradigm Inspired by Information Theory.

Jujia Zhao, Wenjie Wang, Chen Xu, Xiuying Chen, Zhaochun Ren, Suzan Verberne

CoRR, April, 2025

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics.

Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke

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

Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems.

Jujia Zhao, Yumeng Wang, Zhaochun Ren, Suzan Verberne

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

A Federated Framework for LLM-based Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

LLM-based Federated Recommendation.

Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

Plug-In Diffusion Model for Embedding Denoising in Recommendation System.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

CoRR, 2024

Denoising Diffusion Recommender Model.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua

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

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Popularity-aware Distributionally Robust Optimization for Recommendation System.

Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua

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