Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. - Shu Wu; Mengqi Zhang 002; Xin Jiang 008; Ke Xu 001; Liang Wang 001 (CoRR, 2019)

Dynamic Graph Collaborative Filtering. - Xiaohan Li 001; Mengqi Zhang 002; Shu Wu; Zheng Liu 017; Liang Wang 001; Philip S. Yu (ICDM, 2020)

Dynamic Graph Neural Networks for Sequential Recommendation. - Mengqi Zhang 002; Shu Wu; Xueli Yu; Liang Wang 001 (CoRR, 2021)

Deep Contrastive Learning for Multi-View Network Embedding. - Mengqi Zhang 002; Yanqiao Zhu 001; Shu Wu; Liang Wang 001 (CoRR, 2021)

Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang 002; Shu Wu; Liang Wang 001 (CoRR, 2021)

Deep Contrastive Multiview Network Embedding. - Mengqi Zhang 002; Yanqiao Zhu 001; Qiang Liu 006; Shu Wu; Liang Wang 001 (CIKM, 2022)

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. - Yuwei Xia; Mengqi Zhang 002; Qiang Liu 006; Shu Wu; Xiaoyu Zhang 002 (EMNLP, 2022)

Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. - Mengqi Zhang 002; Shu Wu; Meng Gao; Xin Jiang 008; Ke Xu 001; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Learning Latent Relations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang 002; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (ACL (1), 2023)

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. - Mengqi Zhang 002; Yuwei Xia; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2023)

Dynamic Graph Neural Networks for Sequential Recommendation. - Mengqi Zhang 002; Shu Wu; Xueli Yu; Qiang Liu 006; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. - Jinghao Zhang; Yanqiao Zhu 001; Qiang Liu 006; Mengqi Zhang 002; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Position Debiasing for Large Language Models. - Zhongkun Liu; Zheng Chen; Mengqi Zhang 002; Zhaochun Ren; Pengjie Ren; Zhumin Chen (ACL (Findings), 2024)

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. - Pengjie Ren; Chengshun Shi; Shiguang Wu 003; Mengqi Zhang 002; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Jiahuan Pei (ACL (1), 2024)

Knowledge Graph Enhanced Large Language Model Editing. - Mengqi Zhang 002; Xiaotian Ye; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen (EMNLP, 2024)

Generative Retrieval as Multi-Vector Dense Retrieval. - Shiguang Wu 003; Wenda Wei; Mengqi Zhang 002; Zhumin Chen; Jun Ma 001; Zhaochun Ren; Maarten de Rijke; Pengjie Ren (SIGIR, 2024)

Zero-Shot Position Debiasing for Large Language Models. - Zhongkun Liu; Zheng Chen; Mengqi Zhang 002; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2024)

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. - Pengjie Ren; Chengshun Shi; Shiguang Wu 003; Mengqi Zhang 002; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Jiahuan Pei (CoRR, 2024)

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. - Jiyuan Yang; Yuanzi Li; Jingyu Zhao; Hanbing Wang; Muyang Ma; Jun Ma 001; Zhaochun Ren; Mengqi Zhang 002; Xin Xin 003; Zhumin Chen; Pengjie Ren (CoRR, 2024)

Learning Domain-Invariant Features for Out-of-Context News Detection. - Yimeng Gu; Mengqi Zhang 002; Ignacio Castro; Shu Wu; Gareth Tyson (CoRR, 2024)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. - Mengqi Zhang 002; Bowen Fang; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen; Liang Wang 001 (CoRR, 2024)

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers. - Junyan Hu; Xue Xiao; Mengqi Zhang 002; Yao Chen; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2024)

MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. - Yuwei Xia; Mengqi Zhang 002; Qiang Liu 006; Liang Wang 056; Shu Wu; Xiaoyu Zhang 002; Liang Wang 001 (Pattern Recognit., 2024)

Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. - Liping Wang; Qiang Liu 006; Mengqi Zhang 002; Yaxuan Hu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

ExcluIR: Exclusionary Neural Information Retrieval. - Wenhao Zhang; Mengqi Zhang 002; Shiguang Wu 003; Jiahuan Pei; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Pengjie Ren (AAAI, 2025)

UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. - Wenyu Wang; Mengqi Zhang 002; Xiaotian Ye; Zhaochun Ren; Pengjie Ren; Zhumin Chen (EMNLP (Findings), 2025)

KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing. - Mengqi Zhang 002; Bowen Fang; Qiang Liu 006; Xiaotian Ye; Shu Wu; Pengjie Ren; Zhumin Chen; Liang Wang 001 (EMNLP (Findings), 2025)

Uncovering Overfitting in Large Language Model Editing. - Mengqi Zhang 002; Xiaotian Ye; Qiang Liu 006; Shu Wu; Pengjie Ren; Zhumin Chen (ICLR, 2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval. - Shiguang Wu 003; Zhaochun Ren; Xin Xin 007; Jiyuan Yang; Mengqi Zhang 002; Zhumin Chen; Maarten de Rijke; Pengjie Ren (SIGIR, 2025)

Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection. - Yimeng Gu; Mengqi Zhang 002; Ignacio Castro; Shu Wu; Gareth Tyson (Pattern Recognit., 2025)

Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms. - Xiaotian Ye; Mengqi Zhang 002; Shu Wu (CoRR, 2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval. - Shiguang Wu 003; Zhaochun Ren; Xin Xin 003; Jiyuan Yang; Mengqi Zhang 002; Zhumin Chen; Maarten de Rijke; Pengjie Ren (CoRR, 2025)

Disentangling Knowledge Representations for Large Language Model Editing. - Mengqi Zhang 002; Zisheng Zhou; Xiaotian Ye; Qiang Liu 006; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2025)

LLM Unlearning Should Be Form-Independent. - Xiaotian Ye; Mengqi Zhang 002; Shu Wu (CoRR, 2025)

DiffuGR: Generative Document Retrieval with Diffusion Language Models. - Xinpeng Zhao 001; Yukun Zhao; Zhenyang Li; Mengqi Zhang 002; Jun Feng; Ran Chen; Ying Zhou; Zhumin Chen; Shuaiqiang Wang; Zhaochun Ren; Dawei Yin 001; Xin Xin 003 (CoRR, 2025)

Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse. - Chi Zhang 102; Mengqi Zhang 002; Xiaotian Ye; Runxi Cheng; Zisheng Zhou; Ying Zhou; Pengjie Ren; Zhumin Chen (ACL (1), 2026)

Mixture-of-RAG: Integrating Text and Tables with Large Language Models. - Chi Zhang 102; Qiyang Chen; Mengqi Zhang 002 (KDD (1), 2026)

Conversational generative retrieval with contextual denoising. - Wenhao Zhang; Yuhan Wang; Yi Bai; Mengqi Zhang 002; Zhaochun Ren; Zhumin Chen; Pengjie Ren (Inf. Process. Manag., 2026)

Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering. - Fangan Dong; Zuming Yan; Xuri Ge; Zhiwei Xu 005; Mengqi Zhang 002; Xuanang Chen; Ben He 001; Xin Xin 003; Zhumin Chen; Ying Zhou (CoRR, 2026)

Uncovering Context Reliance in Unstructured Knowledge Editing. - Zisheng Zhou; Mengqi Zhang 002; Shiguang Wu 003; Xiaotian Ye; Chi Zhang 102; Zhumin Chen; Pengjie Ren (CoRR, 2026)