Huachi Zhou

Orcid: 0000-0002-8301-8470

According to our database1, Huachi Zhou authored at least 21 papers between 2020 and 2026.

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Bibliography

2026
Graph-based Agent Memory: Taxonomy, Techniques, and Applications.
CoRR, February, 2026

Self-Monitoring Large Language Models for Click-Through Rate Prediction.
ACM Trans. Inf. Syst., January, 2026

LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
Proceedings of the ACM Web Conference 2026, 2026

LLM Collaborative Filtering: User-Item Graph as New Language.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora.
CoRR, October, 2025

LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval.
CoRR, August, 2025

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models.
CoRR, January, 2025

Text-Attributed Graph Learning with Coupled Augmentations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Each graph is a new language: Graph Learning with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing.
IEEE Trans. Intell. Transp. Syst., September, 2024

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Explainable Rating Prediction through Annotated Macro Concepts.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation.
IEEE Trans. Knowl. Data Eng., December, 2023

Towards Personalized Cold-Start Recommendation with Prompts.
CoRR, 2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interest Driven Graph Structure Learning for Session-Based Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022
Constructing Low-Redundant and High-Accuracy Knowledge Graphs for Education.
Proceedings of the Learning Technologies and Systems, 2022

Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Temporal Augmented Graph Neural Networks for Session-Based Recommendations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Low Rank Communication for Federated Learning.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020


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