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Pengyue Jia

Orcid: 0000-0003-4712-3676

According to our database¹, Pengyue Jia authored at least 61 papers between 2023 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 orcid.org

On csauthors.net:

Bibliography

2026

A Survey of Personalization: From RAG to Agent.

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ACM Trans. Inf. Syst., May, 2026

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

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CoRR, May, 2026

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising.

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CoRR, May, 2026

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

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CoRR, May, 2026

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

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Julian J. McAuley

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CoRR, April, 2026

MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning.

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CoRR, April, 2026

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization.

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CoRR, March, 2026

How to Utilize Complementary Vision-Text Information for 2D Structure Understanding.

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Shuaiqiang Wang

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CoRR, March, 2026

Enhancing Cross-View UAV Geolocalization via LVLM-Driven Relational Modeling.

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CoRR, March, 2026

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.

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CoRR, January, 2026

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.

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Proceedings of the ACM Web Conference 2026, 2026

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.

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Proceedings of the ACM Web Conference 2026, 2026

Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.

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Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search.

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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.

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0001 Yimin Deng

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

MTA: A Merge-then-Adapt Framework for Personalized Large Language Models.

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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.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Renormalization Group Guided Tensor Network Structure Search.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs.

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ACM Trans. Inf. Syst., November, 2025

Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs.

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Shuaiqiang Wang

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CoRR, November, 2025

MTA: A Merge-then-Adapt Framework for Personalized Large Language Model.

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CoRR, November, 2025

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

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CoRR, September, 2025

Deep Research: A Survey of Autonomous Research Agents.

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CoRR, August, 2025

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents.

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CoRR, May, 2025

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.

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CoRR, May, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.

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CoRR, May, 2025

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization.

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CoRR, May, 2025

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

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CoRR, May, 2025

Joint Modeling in Recommendations: A Survey.

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CoRR, February, 2025

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.

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Christian S. Jensen

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

Joint Modeling in Deep Recommender Systems.

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

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

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

AgentIR: 2nd Workshop on Agent-based Information Retrieval.

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

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

TAPO: Task-Referenced Adaptation for Prompt Optimization.

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Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Prompt Tuning as User Inherent Profile Inference Machine.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

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Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Stepwise Reasoning Disruption Attack of LLMs.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

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

SIGMA: Selective Gated Mamba for Sequential Recommendation.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Fine-Grained Population Mobility Data-Based Community-Level COVID-19 Prediction Model.

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Cybern. Syst., January, 2024

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

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CoRR, 2024

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

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CoRR, 2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

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CoRR, 2024

Stepwise Reasoning Error Disruption Attack of LLMs.

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CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

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CoRR, 2024

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.

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CoRR, 2024

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.

[DOI]

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CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.

[DOI]

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CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

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CoRR, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.

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Shuaiqiang Wang

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Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

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Shuaiqiang Wang

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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.

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

2023

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.

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CoRR, 2023

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