Chuang Zhou

Orcid: 0000-0002-3041-0591

Affiliations:
  • Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong


According to our database1, Chuang Zhou authored at least 16 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 csauthors.net:

Bibliography

2026
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation.
CoRR, May, 2026

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning With Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., April, 2026

Deep Tabular Research via Continual Experience-Driven Execution.
CoRR, March, 2026

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

Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs.
CoRR, February, 2026

Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Query-Aware Knowledge Retrieval via Hyperbolic Structuring.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
LAG: Logic-Augmented Generation from a Cartesian Perspective.
CoRR, August, 2025

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation.
CoRR, June, 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

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Cost-efficient Knowledge-based Question Answering with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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


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