Mengqi Zhang

Orcid: 0000-0001-6831-0740

Affiliations:

Shandong University, China
Institute of Automation, Chinese Academy of Sciences, China (former)

According to our database¹, Mengqi Zhang authored at least 40 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Uncovering Context Reliance in Unstructured Knowledge Editing.

[BibT_eX]

[DOI]

CoRR, February, 2026

Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering.

[BibT_eX]

[DOI]

CoRR, January, 2026

Conversational generative retrieval with contextual denoising.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2026

Mixture-of-RAG: Integrating Text and Tables with Large Language Models.

[BibT_eX]

[DOI]

Chi Zhang

Qiyang Chen

Mengqi Zhang

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

Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse.

[BibT_eX]

[DOI]

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

2025

DiffuGR: Generative Document Retrieval with Diffusion Language Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

LLM Unlearning Should Be Form-Independent.

[BibT_eX]

[DOI]

Xiaotian Ye

Mengqi Zhang

Shu Wu

CoRR, June, 2025

Disentangling Knowledge Representations for Large Language Model Editing.

[BibT_eX]

[DOI]

CoRR, May, 2025

Constrained Auto-Regressive Decoding Constrains Generative Retrieval.

[BibT_eX]

[DOI]

CoRR, April, 2025

Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms.

[BibT_eX]

[DOI]

Xiaotian Ye

Mengqi Zhang

Shu Wu

CoRR, April, 2025

Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Constrained Auto-Regressive Decoding Constrains Generative Retrieval.

[BibT_eX]

[DOI]

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

Uncovering Overfitting in Large Language Model Editing.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing.

[BibT_eX]

[DOI]

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

UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets.

[BibT_eX]

[DOI]

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

ExcluIR: Exclusionary Neural Information Retrieval.

[BibT_eX]

[DOI]

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

2024

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Domain-Invariant Features for Out-of-Context News Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Zero-Shot Position Debiasing for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generative Retrieval as Multi-Vector Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Knowledge Graph Enhanced Large Language Model Editing.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Self-Supervised Position Debiasing for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Dynamic Graph Neural Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2023

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Learning Latent Relations for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Contrastive Multiview Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Contrastive Learning for Multi-View Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Graph Neural Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Dynamic Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2019

Mengqi Zhang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...