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2020 – today
- 2024
[c18]Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Toward Open-Set Human Object Interaction Detection. AAAI 2024: 6066-6073- [c17]Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji:
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models. ICML 2024 - [i10]Mingrui Wu, Sheng Cao:
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding. CoRR abs/2404.05825 (2024) - [i9]Mingrui Wu, Jiayi Ji, Oucheng Huang, Jiale Li, Yuhang Wu, Xiaoshuai Sun, Rongrong Ji:
Evaluating and Analyzing Relationship Hallucinations in LVLMs. CoRR abs/2406.16449 (2024) - [i8]Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji:
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models. CoRR abs/2407.21534 (2024) - [i7]Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji:
TraDiffusion: Trajectory-Based Training-Free Image Generation. CoRR abs/2408.09739 (2024) - [i6]Hongtian Yu, Yangu Li, Mingrui Wu, Letian Shen, Yue Liu, Yunxuan Song, Qixiang Ye, Xiaorui Lyu, Yajun Mao, Yangheng Zheng, Yunfan Liu:
Vision Calorimeter for Anti-neutron Reconstruction: A Baseline. CoRR abs/2408.10599 (2024) - 2023
- [c16]Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. AAAI 2023: 2839-2846 - 2022
- [j4]Shupeng Gui
, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 770-782 (2022) - [c15]Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji:
DIFNet: Boosting Visual Information Flow for Image Captioning. CVPR 2022: 17999-18008 - [c14]Xueming Qiao, Yao Tang, Yanhong Liu, Maomao Su, Chao Wang, Yansheng Fu, Xiaofang Li, Mingrui Wu, Qiang Fu, Dongjie Zhu:
A Event Extraction Method of Document-Level Based on the Self-attention Mechanism. ML4CS (2) 2022: 609-619 - [i5]Mingrui Wu, Jiaxin Gu, Yunhang Shen, Mingbao Lin, Chao Chen, Xiaoshuai Sun, Rongrong Ji:
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation. CoRR abs/2204.03541 (2022)
2010 – 2019
- 2019
- [c13]Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu:
Classification over Clustering: Augmenting Text Representation with Clusters Helps! NLPCC (2) 2019: 28-40 - [i4]Xiaoye Tan, Rui Yan, Chongyang Tao, Mingrui Wu:
Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification. CoRR abs/1906.07525 (2019) - [i3]Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. CoRR abs/1909.12903 (2019) - 2018
- [i2]Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu:
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning. CoRR abs/1805.11182 (2018) - 2012
- [c12]Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu:
Differentially private search log sanitization with optimal output utility. EDBT 2012: 50-61 - 2011
- [c11]Lin Xiao, Dengyong Zhou, Mingrui Wu:
Hierarchical Classification via Orthogonal Transfer. ICML 2011: 801-808 - [i1]Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu:
Differentially Private Search Log Sanitization with Optimal Output Utility. CoRR abs/1108.0186 (2011) - 2010
- [j3]Olivier Chapelle, Mingrui Wu:
Gradient descent optimization of smoothed information retrieval metrics. Inf. Retr. 13(3): 216-235 (2010)
2000 – 2009
- 2009
- [j2]Mingrui Wu, Jieping Ye:
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2088-2092 (2009) - [c10]Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. CIKM 2009: 1923-1926 - 2008
- [c9]Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye:
Learning subspace kernels for classification. KDD 2008: 106-114 - 2007
- [c8]Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf:
Local learning projections. ICML 2007: 1039-1046 - [c7]Mingrui Wu, Jason D. R. Farquhar:
A Subspace Kernel for Nonlinear Feature Extraction. IJCAI 2007: 1125-1130 - [c6]Jieping Ye, Zheng Zhao, Mingrui Wu:
Discriminative K-means for Clustering. NIPS 2007: 1649-1656 - [c5]Mingrui Wu, Bernhard Schölkopf:
Transductive Classification via Local Learning Regularization. AISTATS 2007: 628-635 - 2006
- [j1]Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir:
A Direct Method for Building Sparse Kernel Learning Algorithms. J. Mach. Learn. Res. 7: 603-624 (2006) - [c4]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu:
Supervised probabilistic principal component analysis. KDD 2006: 464-473 - [c3]Mingrui Wu, Bernhard Schölkopf:
A Local Learning Approach for Clustering. NIPS 2006: 1529-1536 - 2005
- [c2]Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir:
Building Sparse Large Margin Classifiers. ICML 2005: 996-1003 - 2000
- [c1]Mingrui Wu, Bo Zhang, Ling Zhang:
A Neural Network Based Classifier for Handwritten Chinese Character Recognition. ICPR 2000: 2561-2564
Coauthor Index
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