Qinggang Zhang

Orcid: 0000-0002-0247-4942

According to our database1, Qinggang Zhang authored at least 55 papers between 2010 and 2026.

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Bibliography

2026
SAAS: Self-Aware Reinforcement Learning for Over-Search Mitigation in Agentic Search.
CoRR, May, 2026

STARS: Spike Tail-Aware Relational Synthesis for ANN-to-SNN Data-Free Knowledge Distillation.
CoRR, May, 2026

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

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement.
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

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

BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search.
CoRR, January, 2026

LLM-Based World Models Can Make Decisions Solely, But Rigorous Evaluations are Needed.
Trans. Mach. Learn. Res., 2026

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs.
Trans. Mach. Learn. Res., 2026

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

Facilitating Generative Retrieval with Logical Denoising for Interpretable Conversational Search.
Proceedings of the ACM Web Conference 2026, 2026

LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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

Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Next-Generation Database Interfaces: A Survey of LLM-Based Text-to-SQL.
IEEE Trans. Knowl. Data Eng., December, 2025

Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation.
CoRR, October, 2025

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

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery.
CoRR, August, 2025

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

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

Enhancing Large Language Models with Reliable Knowledge Graphs.
CoRR, June, 2025

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation.
CoRR, June, 2025

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation.
CoRR, June, 2025

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation.
CoRR, February, 2025

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

An integrated grade classification model to evaluate raw milk quality.
Comput. Electron. Agric., 2025

NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Structure-Guided Large Language Models for Text-to-SQL Generation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Integrating Entity Attributes for Error-Aware Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng., April, 2024

Evaluating World Models with LLM for Decision Making.
CoRR, 2024

Neuro-Symbolic Entity Alignment via Variational Inference.
CoRR, 2024

Structure Guided Large Language Model for SQL Generation.
CoRR, 2024

KnowGPT: Knowledge Graph based Prompting for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Entity Alignment with Noisy Annotations from Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 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
Diagnosis of dairy cow diseases by knowledge-driven deep learning based on the text reports of illness state.
Comput. Electron. Agric., February, 2023

KnowGPT: Black-Box Knowledge Injection for Large Language Models.
CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
Proceedings of the ACM Web Conference 2023, 2023

Active Ensemble Learning for Knowledge Graph Error Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Error Detection on Knowledge Graphs with Triple Embedding.
Proceedings of the 31st European Signal Processing Conference, 2023

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

KCUBE: A Knowledge Graph University Curriculum Framework for Student Advising and Career Planning.
Proceedings of the Blended Learning: Engaging Students in the New Normal Era, 2022

Design of Intelligent Temperature Monitoring System Using ZigBee Network and TMP102 Sensor Technology.
Proceedings of the International Conference on Computers, 2022

Contrastive Knowledge Graph Error Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Mutation-Induced Impacts on the Switch Transformations of the GDP- and GTP-Bound K-Ras: Insights from Multiple Replica Gaussian Accelerated Molecular Dynamics and Free Energy Analysis.
J. Chem. Inf. Model., 2021

2015
A Comparative Insight into Amprenavir Resistance of Mutations V32I, G48V, I50V, I54V, and I84V in HIV-1 Protease Based on Thermodynamic Integration and MM-PBSA Methods.
J. Chem. Inf. Model., 2015

2010
A computational analysis of the binding model of MDM2 with inhibitors.
J. Comput. Aided Mol. Des., 2010


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