Yingyi Zhang

Orcid: 0000-0001-9062-3428

Affiliations:
  • City University of Hong Kong
  • Dalian University of Technology, China


According to our database1, Yingyi Zhang authored at least 28 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions.
ACM Comput. Surv., July, 2026

A Survey of Personalization: From RAG to Agent.
ACM Trans. Inf. Syst., May, 2026

RAGR: Review-Augmented Generative Recommendation.
CoRR, May, 2026

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery.
CoRR, May, 2026

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory.
CoRR, May, 2026

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space.
CoRR, April, 2026

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization.
CoRR, March, 2026

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval.
CoRR, March, 2026

When coordinated response meets complexity in catastrophes: Unlocking cross-sectoral emergency resource sharing.
Expert Syst. Appl., 2026

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
Proceedings of the ACM Web Conference 2026, 2026

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization.
CoRR, September, 2025

Deep Research: A Survey of Autonomous Research Agents.
CoRR, August, 2025

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents.
CoRR, May, 2025

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.
CoRR, May, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.
CoRR, May, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR, May, 2025

CuSMer: Multimodal Intent Recognition in Customer Service via Data Augment and LLM Merge.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
Modeling Variational Anchoring Effect for Recommender Systems.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023
Meta-Generator Enhanced Multi-Domain Recommendation.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction.
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022


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