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Wenlin Zhang
Observed name:
Zhang, Wenlin
Institution:
City University of Hong Kong
Observed institution:
City University of Hong Kong
ORCID:
0000-0003-1809-8264
Observed ORCID:
0000-0003-1809-8264
OpenAlex ID:
A5129699738
A Survey of Personalization: From RAG to Agent
2026
·
Xiaopeng Li
, Pengyue Jia
, et al.
·
ACM Transactions on Information Systems
·
4
PDF
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
2026
·
Yingyi Zhang
, Pengyue Jia
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
4
PDF
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
2026
·
Xiaopeng Li
, Wenlin Zhang
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
·
1
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
2026
·
Wenlin Zhang
, Kuicai Dong
, et al.
·
International World Wide Web Conference (WWW)
·
1
MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
2026
·
Sheng Zhang
, Junyi Li
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Job Skill Extraction via LLM-Centric Multi-Module Framework
2026
·
Li, Guojing
, Fu, Zichuan
, et al.
·
arXiv (Cornell University)
PDF
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
2026
·
Wenlin Zhang
, Xiangyang Li
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations
2026
·
Yejing Wang
, Shengyu Zhou
, et al.
·
International World Wide Web Conference (WWW)
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
2026
·
Xiaopeng Li
, Yuanjin Zheng
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
2026
·
Derong Xu
, Shuochen Liu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
2024
·
Zhang, Wenlin
, Wu, Chuhan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
11
Citation count:
11
H-index:
2
I10-index:
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