Mengqi Zhang - RankMe

47 papers A* 8A 1Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conversational generative retrieval with contextual denoising. Inf. Process. Manag. Wenhao Zhang, Yuhan Wang, Yi Bai, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren
2026	J	`jnl`	Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering. CoRR Fangan Dong, Zuming Yan, Xuri Ge, Zhiwei Xu, Mengqi Zhang, Xuanang Chen, Ben He, Xin Xin, Zhumin Chen, Ying Zhou
2026	—	`conf`	Mixture-of-RAG: Integrating Text and Tables with Large Language Models. KDD (1) Chi Zhang, Qiyang Chen, Mengqi Zhang
2026	J	`jnl`	Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse. CoRR Chi Zhang, Mengqi Zhang, Xiaotian Ye, Runxi Cheng, Zisheng Zhou, Ying Zhou, Pengjie Ren, Zhumin Chen
2026	J	`jnl`	Uncovering Context Reliance in Unstructured Knowledge Editing. CoRR Zisheng Zhou, Mengqi Zhang, Shiguang Wu, Xiaotian Ye, Chi Zhang, Zhumin Chen, Pengjie Ren
2025	A*	`conf`	Constrained Auto-Regressive Decoding Constrains Generative Retrieval. SIGIR Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren
2025	J	`jnl`	Constrained Auto-Regressive Decoding Constrains Generative Retrieval. CoRR Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren
2025	J	`jnl`	Contrastive Domain Adaptation with Test-Time Training for Out-of-Context News Detection. Pattern Recognit. Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson
2025	J	`jnl`	DiffuGR: Generative Document Retrieval with Diffusion Language Models. CoRR Xinpeng Zhao, Yukun Zhao, Zhenyang Li, Mengqi Zhang, Jun Feng, Ran Chen, Ying Zhou, Zhumin Chen, Shuaiqiang Wang, Zhaochun Ren, Dawei Yin, Xin Xin
2025	J	`jnl`	Disentangling Knowledge Representations for Large Language Model Editing. CoRR Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren
2025	A*	`conf`	ExcluIR: Exclusionary Neural Information Retrieval. AAAI Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
2025	—	`conf`	KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing. EMNLP (Findings) Mengqi Zhang, Bowen Fang, Qiang Liu, Xiaotian Ye, Shu Wu, Pengjie Ren, Zhumin Chen, Liang Wang
2025	J	`jnl`	LLM Unlearning Should Be Form-Independent. CoRR Xiaotian Ye, Mengqi Zhang, Shu Wu
2025	J	`jnl`	Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms. CoRR Xiaotian Ye, Mengqi Zhang, Shu Wu
2025	—	`conf`	UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. EMNLP (Findings) Wenyu Wang, Mengqi Zhang, Xiaotian Ye, Zhaochun Ren, Pengjie Ren, Zhumin Chen
2025	J	`jnl`	UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. CoRR Wenyu Wang, Mengqi Zhang, Xiaotian Ye, Zhaochun Ren, Zhumin Chen, Pengjie Ren
2025	A*	`conf`	Uncovering Overfitting in Large Language Model Editing. ICLR Mengqi Zhang, Xiaotian Ye, Qiang Liu, Shu Wu, Pengjie Ren, Zhumin Chen
2024	J	`jnl`	ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers. CoRR Junyan Hu, Xue Xiao, Mengqi Zhang, Yao Chen, Zhaochun Ren, Zhumin Chen, Pengjie Ren
2024	J	`jnl`	Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang
2024	J	`jnl`	ExcluIR: Exclusionary Neural Information Retrieval. CoRR Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
2024	A*	`conf`	Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren
2024	J	`jnl`	Generative Retrieval as Multi-Vector Dense Retrieval. CoRR Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren
2024	A*	`conf`	Knowledge Graph Enhanced Large Language Model Editing. EMNLP Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen
2024	J	`jnl`	Knowledge Graph Enhanced Large Language Model Editing. CoRR Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen
2024	J	`jnl`	Learning Domain-Invariant Features for Out-of-Context News Detection. CoRR Yimeng Gu, Mengqi Zhang, Ignacio Castro, Shu Wu, Gareth Tyson
2024	—	`conf`	MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei
2024	J	`jnl`	MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang
2024	J	`jnl`	Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei
2024	—	`conf`	Self-Supervised Position Debiasing for Large Language Models. ACL (Findings) Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen
2024	J	`jnl`	Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang
2024	J	`jnl`	Uncovering Overfitting in Large Language Model Editing. CoRR Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen
2024	J	`jnl`	Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren
2024	J	`jnl`	Zero-Shot Position Debiasing for Large Language Models. CoRR Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren
2023	J	`jnl`	Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang
2023	J	`jnl`	Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
2023	—	`conf`	Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
2023	A*	`conf`	Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
2023	J	`jnl`	MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang
2022	A	`conf`	Deep Contrastive Multiview Network Embedding. CIKM Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang
2022	A*	`conf`	MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang
2022	J	`jnl`	Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. IEEE Trans. Knowl. Data Eng. Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang
2021	J	`jnl`	Deep Contrastive Learning for Multi-View Network Embedding. CoRR Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang
2021	J	`jnl`	Dynamic Graph Collaborative Filtering. CoRR Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2021	J	`jnl`	Dynamic Graph Neural Networks for Sequential Recommendation. CoRR Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang
2021	J	`jnl`	Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
2020	A*	`conf`	Dynamic Graph Collaborative Filtering. ICDM Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
2019	J	`jnl`	Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. CoRR Shu Wu, Mengqi Zhang, Xin Jiang, Ke Xu, Liang Wang