Disentangling Knowledge Representations for Large Language Model Editing.
ICLR 2026CCF-A
Mengqi Zhang*, Zisheng Zhou*, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren
Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse.
ACL 2026CCF-A
Chi Zhang, Mengqi Zhang#, Xiaotian Ye, Runxi Cheng, Zisheng Zhou, Ying Zhou, Pengjie Ren, Zhumin Chen.
LLM Unlearning Should Be Form-Independent.
IEEE S&P 2026CCF-A
Xiaotian Ye, Mengqi Zhang#, Shu Wu
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers.
Pattern Recognition 2026CCF-B
Junyan Hu, Jiao Xue, Mengqi Zhang#, Yao Chen, Zhaochun Ren, Shu Wu, Zhumin Chen, Pengjie Ren
Conversational Generative Retrieval with Contextual Denoising.
Information Processing & ManagementCCF-B
Wenhao Zhang, Yuhan Wang, Yi Bai, Mengqi Zhang#, Zhaochun Ren, Zhumin Chen, Pengjie Ren
Uncovering Overfitting in Large Language Model Editing.
ICLR 2025CCF-ASpotlight · Top 5.1%
Mengqi Zhang*, Xiaotian Ye*, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen
KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing.
Findings of EMNLP 2025CCF-B
Mengqi Zhang*, Bowen Fang*, Qiang Liu, Xiaotian Ye, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets.
Findings of EMNLP 2025CCF-B
Wenyu Wang, Mengqi Zhang#, Xiaotian Ye, Zhaochun Ren, Pengjie Ren, Zhumin Chen
ExcluIR: Exclusionary Neural Information Retrieval.
AAAI 2025CCF-A
Wenhao Zhang, Mengqi Zhang#, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
Constrained Auto-Regressive Decoding Constrains Generative Retrieval.
SIGIR 2025CCF-A
Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren
Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection.
Pattern Recognition 2025CCF-B
Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson
Knowledge Graph Enhanced Large Language Model Editing.
EMNLP 2024CCF-B
Mengqi Zhang*, Xiaotian Ye*, Qiang Liu, Pengjie Ren, Shu Wu, and Zhumin Chen.
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
ACL 2024CCF-A
Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei.
Self-Supervised Position Debiasing for Large Language Models.
Findings of ACL 2024CCF-A
Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren.
Generative Retrieval as Multi-Vector Dense Retrieval.
SIGIR 2024CCF-ABest Paper Honorable Mention · 最佳论文提名奖
Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren.
MetaTKG++: Learning Evolving Factor Enhanced Meta-Knowledge for Temporal Knowledge Graph Reasoning.
Pattern Recognition 2024CCF-B
Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang.
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.
WWW 2023CCF-A
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, and Liang Wang.
Learning Latent Relations for Temporal Knowledge Graph Reasoning.
ACL 2023CCF-A
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, and Liang Wang.
Dynamic Graph Neural Networks for Sequential Recommendation.
IEEE TKDE 2023CCF-AESI Highly Cited Paper
Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, and Liang Wang.
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction.
IEEE TKDE 2023CCF-A
Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, and Liang Wang.
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation.
IEEE TKDE 2022CCF-A
Jianghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, and Liang Wang.
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.
EMNLP 2022CCF-B
Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, and Xiaoyu Zhang.
Deep Contrastive Multiview Network Embedding.
CIKM 2022CCF-B
Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, and Liang Wang.
Personalized Graph Neural Networks with Attention Mechanism for Session-Aware Recommendation.
IEEE TKDE 2020CCF-A
Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, and Liang Wang.
Dynamic Graph Collaborative Filtering.
ICDM 2020Regular PaperCCF-B
Xiaohan Li*, Mengqi Zhang*, Shu Wu, Zheng Liu, Liang Wang, and Philip S. Yu.
High-order Hidden Markov Model for Trend Prediction in Financial Time Series.
Physica A 2019
Mengqi Zhang, Xin Jiang, Zehua Fang, Yue Zeng, and Ke Xu.