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Mengqi Zhang 0002
Person information
- affiliation: Shandong University, China
- affiliation (former): Institute of Automation, Chinese Academy of Sciences, China
Other persons with the same name
- Mengqi Zhang — disambiguation page
- Mengqi Zhang 0001
— Beijing Institute of Astronautical Systems Engineering, Beijing, China - Mengqi Zhang 0003
— Ant Group, Beijing, China - Mengqi Zhang 0004
— Yanshan University, China - Mengqi Zhang 0005
— China Agricultural University, Beijing, China - Mengqi Zhang 0006
— Nanjing University of Aeronautics and Astronautics, Nanjing, China - Mengqi Zhang 0007
— Huazhong University of Science and Technology, Wuhan, Hubei, China - Mengqi Zhang 0008
— University of Rochester, Rochester, NY, USA
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2020 – today
- 2025
[j6]Yimeng Gu
, Mengqi Zhang, Ignacio Castro, Shu Wu
, Gareth Tyson:
Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection. Pattern Recognit. 164: 111530 (2025)
[c12]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. AAAI 2025: 13295-13303
[c11]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. ICLR 2025
[c10]Shiguang Wu
, Zhaochun Ren
, Xin Xin
, Jiyuan Yang
, Mengqi Zhang
, Zhumin Chen
, Maarten de Rijke
, Pengjie Ren
:
Constrained Auto-Regressive Decoding Constrains Generative Retrieval. SIGIR 2025: 2429-2440
[i22]Wenyu Wang, Mengqi Zhang, Xiaotian Ye, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. CoRR abs/2503.04693 (2025)
[i21]Xiaotian Ye, Mengqi Zhang, Shu Wu:
Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms. CoRR abs/2504.06823 (2025)
[i20]Shiguang Wu, Zhaochun Ren, Xin Xin
, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren:
Constrained Auto-Regressive Decoding Constrains Generative Retrieval. CoRR abs/2504.09935 (2025)
[i19]Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Disentangling Knowledge Representations for Large Language Model Editing. CoRR abs/2505.18774 (2025)
[i18]Xiaotian Ye, Mengqi Zhang, Shu Wu:
LLM Unlearning Should Be Form-Independent. CoRR abs/2506.07795 (2025)
[i17]Xinpeng Zhao, Yukun Zhao, Zhenyang Li, Mengqi Zhang, Jun Feng, Ran Chen, Ying Zhou, Zhumin Chen, Shuaiqiang Wang, Zhaochun Ren, Dawei Yin, Xin Xin:
DiffuGR: Generative Document Retrieval with Diffusion Language Models. CoRR abs/2511.08150 (2025)- 2024
[j5]Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang:
MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. 155: 110629 (2024)
[j4]Liping Wang
, Qiang Liu
, Mengqi Zhang, Yaxuan Hu, Shu Wu
, Liang Wang:
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36(4): 1773-1784 (2024)
[c9]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Self-Supervised Position Debiasing for Large Language Models. ACL (Findings) 2024: 2897-2917
[c8]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064
[c7]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. EMNLP 2024: 22647-22662
[c6]Shiguang Wu
, Wenda Wei
, Mengqi Zhang
, Zhumin Chen
, Jun Ma
, Zhaochun Ren
, Maarten de Rijke
, Pengjie Ren
:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838
[i16]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Zero-Shot Position Debiasing for Large Language Models. CoRR abs/2401.01218 (2024)
[i15]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Knowledge Graph Enhanced Large Language Model Editing. CoRR abs/2402.13593 (2024)
[i14]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024)
[i13]Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin
, Zhumin Chen, Pengjie Ren:
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR abs/2403.16371 (2024)
[i12]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024)
[i11]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024)
[i10]Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson:
Learning Domain-Invariant Features for Out-of-Context News Detection. CoRR abs/2406.07430 (2024)
[i9]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024)
[i8]Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen:
Uncovering Overfitting in Large Language Model Editing. CoRR abs/2410.07819 (2024)
[i7]Junyan Hu, Xue Xiao, Mengqi Zhang, Yao Chen, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers. CoRR abs/2412.10135 (2024)- 2023
[j3]Mengqi Zhang
, Shu Wu
, Xueli Yu, Qiang Liu
, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4741-4753 (2023)
[j2]Jinghao Zhang
, Yanqiao Zhu
, Qiang Liu
, Mengqi Zhang
, Shu Wu
, Liang Wang
:
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9154-9167 (2023)
[c5]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) 2023: 12617-12631
[c4]Mengqi Zhang
, Yuwei Xia
, Qiang Liu
, Shu Wu
, Liang Wang
:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW 2023: 2412-2422
[i6]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR abs/2302.00893 (2023)- 2022
[j1]Mengqi Zhang
, Shu Wu
, Meng Gao
, Xin Jiang
, Ke Xu, Liang Wang:
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 34(8): 3946-3957 (2022)
[c3]Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. CIKM 2022: 4692-4696
[c2]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP 2022: 7230-7240- 2021
[i5]Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. CoRR abs/2101.02844 (2021)
[i4]Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. CoRR abs/2104.07368 (2021)
[i3]Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang:
Deep Contrastive Learning for Multi-View Network Embedding. CoRR abs/2108.08296 (2021)
[i2]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021)- 2020
[c1]Xiaohan Li
, Mengqi Zhang, Shu Wu, Zheng Liu
, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. ICDM 2020: 322-331
2010 – 2019
- 2019
[i1]Shu Wu, Mengqi Zhang, Xin Jiang, Ke Xu, Liang Wang:
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. CoRR abs/1910.08887 (2019)
Coauthor Index

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last updated on 2026-01-23 00:27 CET by the dblp team
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