A Neural Network Based Classifier for Handwritten Chinese Character Recognition. - Mingrui Wu; Bo Zhang 010; Ling Zhang 001 (ICPR, 2000)

Building Sparse Large Margin Classifiers. - Mingrui Wu; Bernhard Schölkopf; Gökhan H. Bakir (ICML, 2005)

Supervised probabilistic principal component analysis. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel; Mingrui Wu (KDD, 2006)

A Local Learning Approach for Clustering. - Mingrui Wu; Bernhard Schölkopf (NIPS, 2006)

A Direct Method for Building Sparse Kernel Learning Algorithms. - Mingrui Wu; Bernhard Schölkopf; Gökhan H. Bakir (J. Mach. Learn. Res., 2006)

Local learning projections. - Mingrui Wu; Kai Yu 001; Shipeng Yu; Bernhard Schölkopf (ICML, 2007)

A Subspace Kernel for Nonlinear Feature Extraction. - Mingrui Wu; Jason D. R. Farquhar (IJCAI, 2007)

Discriminative K-means for Clustering. - Jieping Ye; Zheng Zhao; Mingrui Wu (NIPS, 2007)

Transductive Classification via Local Learning Regularization. - Mingrui Wu; Bernhard Schölkopf (AISTATS, 2007)

Learning subspace kernels for classification. - Jianhui Chen; Shuiwang Ji; Betul Ceran; Qi Li 001; Mingrui Wu; Jieping Ye (KDD, 2008)

Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. - Mingrui Wu; Yi Chang 001; Zhaohui Zheng 001; Hongyuan Zha (CIKM, 2009)

A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. - Mingrui Wu; Jieping Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Gradient descent optimization of smoothed information retrieval metrics. - Olivier Chapelle; Mingrui Wu (Inf. Retr., 2010)

Hierarchical Classification via Orthogonal Transfer. - Lin Xiao; Dengyong Zhou; Mingrui Wu (ICML, 2011)

Differentially private search log sanitization with optimal output utility. - Yuan Hong 001; Jaideep Vaidya; Haibing Lu; Mingrui Wu (EDBT, 2012)

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. - Shupeng Gui; Xiangliang Zhang 001; Shuang Qiu; Mingrui Wu; Jieping Ye; Ji Liu 002 (CoRR, 2018)

Classification over Clustering: Augmenting Text Representation with Clusters Helps! - Xiaoye Tan; Rui Yan 001; Chongyang Tao; Mingrui Wu (NLPCC (2), 2019)

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification. - Xiaoye Tan; Rui Yan 001; Chongyang Tao; Mingrui Wu (CoRR, 2019)

DIFNet: Boosting Visual Information Flow for Image Captioning. - Mingrui Wu; Xuying Zhang; Xiaoshuai Sun; Yiyi Zhou; Chao Chen 026; Jiaxin Gu; Xing Sun 001; Rongrong Ji (CVPR, 2022)

A Event Extraction Method of Document-Level Based on the Self-attention Mechanism. - Xueming Qiao; Yao Tang; Yanhong Liu; Maomao Su; Chao Wang 003; Yansheng Fu; Xiaofang Li; Mingrui Wu; Qiang Fu; Dongjie Zhu (ML4CS (2), 2022)

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. - Mingrui Wu; Jiaxin Gu; Yunhang Shen; Mingbao Lin; Chao Chen 026; Xiaoshuai Sun; Rongrong Ji (CoRR, 2022)

Research on Cross-domain Representation Learning Based on Multi-network Space Fusion. - Ye Yang; Dongjie Zhu; Xiaofang Li; Haiwen Du; Yundong Sun; Zhixin Huo; Mingrui Wu; Ning Cao 002; Russell Higgs (Intell. Autom. Soft Comput., 2022)

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. - Shupeng Gui; Xiangliang Zhang 001; Pan Zhong; Shuang Qiu; Mingrui Wu; Jieping Ye; Zhengdao Wang; Ji Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. - Mingrui Wu; Jiaxin Gu; Yunhang Shen; Mingbao Lin; Chao Chen 026; Xiaoshuai Sun (AAAI, 2023)

DCRL-KG: Distributed Multi-Modal Knowledge Graph Retrieval Platform Based on Collaborative Representation Learning. - Leilei Li; Yansheng Fu; Dongjie Zhu; Xiaofang Li; Yundong Sun; Jianrui Ding; Mingrui Wu; Ning Cao 002; Russell Higgs (Intell. Autom. Soft Comput., 2023)

Toward Open-Set Human Object Interaction Detection. - Mingrui Wu; Yuqi Liu; Jiayi Ji; Xiaoshuai Sun; Rongrong Ji (AAAI, 2024)

Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models. - Mingrui Wu; Jiayi Ji; Oucheng Huang; Jiale Li; Yuhang Wu 004; Xiaoshuai Sun; Rongrong Ji (ICML, 2024)

ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models. - Mingrui Wu; Xinyue Cai; Jiayi Ji; Jiale Li; Oucheng Huang; Gen Luo; Hao Fei 001; Guannan Jiang; Xiaoshuai Sun; Rongrong Ji (NeurIPS, 2024)

LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding. - Mingrui Wu; Sheng Cao (CoRR, 2024)

Evaluating and Analyzing Relationship Hallucinations in LVLMs. - Mingrui Wu; Jiayi Ji; Oucheng Huang; Jiale Li; Yuhang Wu 004; Xiaoshuai Sun; Rongrong Ji (CoRR, 2024)

ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models. - Mingrui Wu; Xinyue Cai; Jiayi Ji; Jiale Li; Oucheng Huang; Gen Luo; Hao Fei 001; Xiaoshuai Sun; Rongrong Ji (CoRR, 2024)

TraDiffusion: Trajectory-Based Training-Free Image Generation. - Mingrui Wu; Oucheng Huang; Jiayi Ji; Jiale Li; Xinyue Cai; Huafeng Kuang; Jianzhuang Liu; Xiaoshuai Sun; Rongrong Ji (CoRR, 2024)

Vision Calorimeter for Anti-neutron Reconstruction: A Baseline. - Hongtian Yu; Yangu Li; Mingrui Wu; Letian Shen; Yue Liu; Yunxuan Song; Qixiang Ye; Xiaorui Lyu; Yajun Mao; Yangheng Zheng; Yunfan Liu 001 (CoRR, 2024)

ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost. - Sheng Cao; Mingrui Wu; Karthik Prasad; Yuandong Tian; Zechun Liu (ICLR, 2025)

LDAM: A lightweight dual attention module for optimizing automotive malware classification. - Jiahui Chen; Mingrui Wu; Huiwu Huang (Array, 2025)

ComfyGPT: A Self-Optimizing Multi-Agent System for Comprehensive ComfyUI Workflow Generation. - Oucheng Huang; Yuhang Ma; Zeng Zhao; Mingrui Wu; Jiayi Ji; Rongsheng Zhang; Zhipeng Hu; Xiaoshuai Sun; Rongrong Ji (CoRR, 2025)

ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost. - Sheng Cao; Mingrui Wu; Karthik Prasad; Yuandong Tian; Zechun Liu (CoRR, 2025)

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning. - Mingrui Wu; Lu Wang 029; Pu Zhao 004; Fangkai Yang; Jianjin Zhang; Jianfeng Liu; Yuefeng Zhan; Weihao Han; Hao Sun 015; Jiayi Ji; Xiaoshuai Sun; Qingwei Lin; et al. (CoRR, 2025)

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models. - Jiale Li; Mingrui Wu; Zixiang Jin; Hao Chen; Jiayi Ji; Xiaoshuai Sun; Liujuan Cao; Rongrong Ji (CoRR, 2025)