Scholar
Mengqi Zhang
Google Scholar ID: 8-tCnnUAAAAJ
Shandong University
Citations & Impact
Citations
1,142
H-index
13
i10-index
16
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- ICLR 2025 Spotlight (Top 5.1%, CAAI-A): "Uncovering Overfitting in Large Language Model Editing"
- IEEE S&P 2026 (CCF-A): "LLM Unlearning Should Be Form-Independent"
- Findings of EMNLP 2025 (CCF-B): "KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing"
- Findings of EMNLP 2025 (CCF-B): "UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets"
- AAAI 2025 (CCF-A): "ExcluIR: Exclusionary Neural Information Retrieval"
- EMNLP 2024 (CCF-B): "Knowledge Graph Enhanced Large Language Model Editing"
- SIGIR 2024 (CCF-A): "Generative Retrieval as Multi-Vector Dense Retrieval" (Honorable Mention)
- WWW 2023 (CCF-A): "Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning"
- ACL 2023 (CCF-A): "Learning Latent Relations for Temporal Knowledge Graph Reasoning"
- IEEE TKDE 2023 (CCF-A): "Dynamic Graph Neural Networks for Sequential Recommendation"
- EMNLP 2022 (CCF-B): "MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning"
- CIKM 2022 (CCF-B): "Deep Contrastive Multiview Network Embedding"
- IEEE TKDE 2020 (CCF-A): "Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation"
- ICDM 2020 (CCF-B): "Dynamic Graph Collaborative Filtering"
Background
- Assistant Professor (tenure-track) at School of Computer Science and Technology, Shandong University
- Member of the Information Retrieval Lab
- Research focuses on trustworthiness and controllability of large language models (LLMs)
- Key interests include knowledge updating, interpretability, and model safety
- Specific tasks include knowledge editing, unlearning, and retrieval-augmented generation
- Also conducted research on temporal knowledge graph reasoning and recommender systems
