Mingrui Wu

51 papers A* 13A 2B 2Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs.
EACL (Volume 1: Long Papers)
Chi Zhang, Wenxuan Ding, Jiale Liu, Mingrui Wu, Qingyun Wu, Ray Mooney
2026 J jnl
Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs.
CoRR
Chi Zhang, Wenxuan Ding, Jiale Liu, Mingrui Wu, Qingyun Wu, Ray Mooney
2026 J jnl
From Atoms to Trees: Building a Structured Feature Forest with Hierarchical Sparse Autoencoders.
CoRR
Yifan Luo, Yang Zhan, Jiedong Jiang, Tianyang Liu, Mingrui Wu, Zhennan Zhou, Bin Dong
2026 J jnl
MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models.
CoRR
Mingrui Wu, Hang Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
2026 J jnl
Parametric Chunk Quantization Algorithm for Fast Passive Emitter Localization.
IEEE Signal Process. Lett.
Mingrui Wu, Hao Huan, Ran Tao
2026 J jnl
Test-Time Computing for Referring Multimodal Large Language Models.
CoRR
Mingrui Wu, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Zhiyuan Liu, Liujuan Cao, Ming-Ming Cheng, Rongrong Ji
2025 J jnl
A lightweight CNN malware classification method for software detection.
Int. J. Mach. Learn. Cybern.
Jiahui Chen, Mingrui Wu, Wensheng Gan, Huiwu Huang, Terry Shue Chien Lau
2025 J jnl
ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation.
CoRR
Oucheng Huang, Yuhang Ma, Zeng Zhao, Mingrui Wu, Jiayi Ji, Rongsheng Zhang, Zhipeng Hu, Xiaoshuai Sun, Rongrong Ji
2025 J jnl
From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs.
CoRR
Mingrui Wu, Zhaozhi Wang, Fangjinhua Wang, Jiaolong Yang, Marc Pollefeys, Tong Zhang
2025 J jnl
LDAM: A lightweight dual attention module for optimizing automotive malware classification.
Array
Jiahui Chen, Mingrui Wu, Huiwu Huang
2025 A* conf
MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models.
ACM Multimedia
Jiale Li, Mingrui Wu, Zixiang Jin, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji
2025 J jnl
MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models.
CoRR
Jiale Li, Mingrui Wu, Zixiang Jin, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji
2025 A* conf
ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost.
ICLR
Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu
2025 J jnl
ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost.
CoRR
Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu
2025 J jnl
PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting.
CoRR
Linqing Wang, Ximing Xing, Yiji Cheng, Zhiyuan Zhao, Donghao Li, Tiankai Hang, Jiale Tao, Qixun Wang, Ruihuang Li, Comi Chen, Xin Li, Mingrui Wu, Xinchi Deng, Shuyang Gu, Chunyu Wang, Qinglin Lu
2025 J jnl
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning.
CoRR
Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang, Rongrong Ji
2025 J jnl
TraDiffusion: Trajectory-Based Training-Free Image Generation.
Int. J. Comput. Vis.
Mingrui Wu, Oucheng Huang, Jiayi Ji, Jianzhuang Liu, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji
2024 A* conf
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models.
NeurIPS
Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models.
CoRR
Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
Evaluating and Analyzing Relationship Hallucinations in LVLMs.
CoRR
Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji
2024 A* conf
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models.
ICML
Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding.
CoRR
Mingrui Wu, Sheng Cao
2024 A* conf
Toward Open-Set Human Object Interaction Detection.
AAAI
Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
TraDiffusion: Trajectory-Based Training-Free Image Generation.
CoRR
Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji
2023 J jnl
DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning.
Intell. Autom. Soft Comput.
Leilei Li, Yansheng Fu, Dongjie Zhu, Xiaofang Li, Yundong Sun, Jianrui Ding, Mingrui Wu, Ning Cao, Russell Higgs
2023 A* conf
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.
AAAI
Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun
2022 — conf
A Event Extraction Method of Document-Level Based on the Self-attention Mechanism.
ML4CS (2)
Xueming Qiao, Yao Tang, Yanhong Liu, Maomao Su, Chao Wang, Yansheng Fu, Xiaofang Li, Mingrui Wu, Qiang Fu, Dongjie Zhu
2022 A* conf
DIFNet: Boosting Visual Information Flow for Image Captioning.
CVPR
Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji
2022 J jnl
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.
CoRR
Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji
2022 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
IEEE Trans. Pattern Anal. Mach. Intell.
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2022 J jnl
Research on Cross-domain Representation Learning Based on Multi-network Space Fusion.
Intell. Autom. Soft Comput.
Ye Yang, Dongjie Zhu, Xiaofang Li, Haiwen Du, Yundong Sun, Zhixin Huo, Mingrui Wu, Ning Cao, Russell Higgs
2019 — conf
Classification over Clustering: Augmenting Text Representation with Clusters Helps!
NLPCC (2)
Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu
2019 J jnl
Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification.
CoRR
Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu
2019 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
CoRR
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2018 J jnl
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR
Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu
2012 B conf
Differentially private search log sanitization with optimal output utility.
EDBT
Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu
2011 J jnl
Differentially Private Search Log Sanitization with Optimal Output Utility
CoRR
Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu
2011 A* conf
Hierarchical Classification via Orthogonal Transfer.
ICML
Lin Xiao, Dengyong Zhou, Mingrui Wu
2010 J jnl
Gradient descent optimization of smoothed information retrieval metrics.
Inf. Retr.
Olivier Chapelle, Mingrui Wu
2009 J jnl
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingrui Wu, Jieping Ye
2009 A conf
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions.
CIKM
Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha
2008 A* conf
Learning subspace kernels for classification.
KDD
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye
2007 A* conf
A Subspace Kernel for Nonlinear Feature Extraction.
IJCAI
Mingrui Wu, Jason D. R. Farquhar
2007 — conf
Discriminative K-means for Clustering.
NIPS
Jieping Ye, Zheng Zhao, Mingrui Wu
2007 A* conf
Local learning projections.
ICML
Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf
2007 A conf
Transductive Classification via Local Learning Regularization.
AISTATS
Mingrui Wu, Bernhard Schölkopf
2006 J jnl
A Direct Method for Building Sparse Kernel Learning Algorithms.
J. Mach. Learn. Res.
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
2006 — conf
A Local Learning Approach for Clustering.
NIPS
Mingrui Wu, Bernhard Schölkopf
2006 A* conf
Supervised probabilistic principal component analysis.
KDD
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu
2005 A* conf
Building Sparse Large Margin Classifiers.
ICML
Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir
2000 B conf
A Neural Network Based Classifier for Handwritten Chinese Character Recognition.
ICPR
Mingrui Wu, Bo Zhang, Ling Zhang