Minnan Luo

According to our database, Minnan Luo authored at least 106 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Semantics-Guided Contrastive Network for Zero-Shot Object Detection.

Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Noise-Tolerant Learning for Audio-Visual Action Recognition.

Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen

IEEE Trans. Multim., 2024

A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels.

Haochen Han, Minnan Luo, Huan Liu, Fang Nan

CoRR, 2024

MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts.

Zinan Zeng, Sen Ye, Zijian Cai, Heng Wang, Yuhan Liu, Haokai Zhang, Minnan Luo

CoRR, 2024

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.

Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang

CoRR, 2024

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.

Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo

CoRR, 2024

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.

Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov

CoRR, 2024

LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection.

Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation.

Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation.

Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Heterogeneous graph attention network with motif clique.

Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu

Neurocomputing, October, 2023

Counterfactual Generation Framework for Few-Shot Learning.

Zhuohang Dang, Minnan Luo, Chengyou Jia, Caixia Yan, Xiaojun Chang, Qinghua Zheng

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Dual-channel graph contrastive learning for self-supervised graph-level representation learning.

Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo

Pattern Recognit., July, 2023

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Collaborative Contrastive Refining for Weakly Supervised Person Search.

Chengyou Jia, Minnan Luo, Caixia Yan, Linchao Zhu, Xiaojun Chang, Qinghua Zheng

IEEE Trans. Image Process., 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.

Zhen Peng, Minnan Luo, Wenbing Huang, Jundong Li, Qinghua Zheng, Fuchun Sun, Junzhou Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition.

Chengyou Jia, Minnan Luo, Xiaojun Chang, Zhuohang Dang, Mingfei Han, Mengmeng Wang, Guang Dai, Sizhe Dang, Jingdong Wang

CoRR, 2023

Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.

Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo

CoRR, 2023

Disentangled Representation Learning with Transmitted Information Bottleneck.

Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Jihong Wang, Xiaojun Chang, Jingdong Wang, Qinghua Zheng

CoRR, 2023

GADY: Unsupervised Anomaly Detection on Dynamic Graphs.

Shiqi Lou, Qingyue Zhang, Shujie Yang, Yuyang Tian, Zhaoxuan Tan, Minnan Luo

CoRR, 2023

Adversarial Attacks on Fairness of Graph Neural Networks.

Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

CoRR, 2023

PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement.

Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Jingdong Wang, Qinghua Zheng

CoRR, 2023

HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.

Sen Ye, Zhaoxuan Tan, Zhenyu Lei, Ruijie He, Hongrui Wang, Qinghua Zheng, Minnan Luo

CoRR, 2023

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

CoRR, 2023

KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.

Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo

Proceedings of the ACM Web Conference 2023, 2023

BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.

Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.

Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).

Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Real-Time Person Search with Invariant Feature Learning.

Chengyou Jia, Minnan Luo, Zhuohang Dang, Xiaojun Chang, Qinghua Zheng

Proceedings of the IEEE International Conference on Acoustics, 2023

Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks.

Heng Wang, Wenqian Zhang, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Qinghua Zheng, Minnan Luo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

BotPercent: Estimating Bot Populations in Twitter Communities.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Noisy Correspondence Learning with Meta Similarity Correction.

Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, Minnan Luo

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.

Zhen Peng, Minnan Luo, Jundong Li, Luguo Xue, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., 2022

LookCom: Learning Optimal Network for Community Detection.

Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., 2022

A new self-supervised task on graphs: Geodesic distance prediction.

Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng

Inf. Sci., 2022

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.

Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng

Data Sci. Eng., 2022

Disentangled Generation with Information Bottleneck for Few-Shot Learning.

Zhuohang Dang, Jihong Wang, Minnan Luo, Chengyou Jia, Caixia Yan, Qinghua Zheng

CoRR, 2022

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo

CoRR, 2022

AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.

Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo

CoRR, 2022

Towards Explanation for Unsupervised Graph-Level Representation Learning.

Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang

CoRR, 2022

CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search.

Chengyou Jia, Minnan Luo, Caixia Yan, Xiaojun Chang, Qinghua Zheng

CoRR, 2022

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.

Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng

CoRR, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.

Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, Minnan Luo

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.

Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge.

Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.

Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers.

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-weighted Robust LDA for Multiclass Classification with Edge Classes.

Caixia Yan, Xiaojun Chang, Minnan Luo, Qinghua Zheng, Xiaoqin Zhang, Zhihui Li, Feiping Nie

ACM Trans. Intell. Syst. Technol., 2021

Reliable shot identification for complex event detection via visual-semantic embedding.

Minnan Luo, Xiaojun Chang, Chen Gong

Comput. Vis. Image Underst., 2021

PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.

Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng

CoRR, 2021

Encoding Heterogeneous Social and Political Context for Entity Stance Prediction.

Shangbin Feng, Zilong Chen, Peisheng Yu, Minnan Luo

CoRR, 2021

Knowledge Graph Augmented Political Perspective Detection in News Media.

Shangbin Feng, Zilong Chen, Qingyao Li, Minnan Luo

CoRR, 2021

Towards Entity Alignment in the Open World: An Unsupervised Approach.

Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2021

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.

Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.

Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

BotRGCN: Twitter bot detection with relational graph convolutional networks.

Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Deep Top-$k$ Ranking for Image-Sentence Matching.

Lingling Zhang, Minnan Luo, Jun Liu, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann

IEEE Trans. Multim., 2020

Semantics-Preserving Graph Propagation for Zero-Shot Object Detection.

Caixia Yan, Qinghua Zheng, Xiaojun Chang, Minnan Luo, Chung-Hsing Yeh, Alexander G. Hauptmann

IEEE Trans. Image Process., 2020

Diverse fuzzy <i>c</i>-means for image clustering.

Lingling Zhang, Minnan Luo, Jun Liu, Zhihui Li, Qinghua Zheng

Pattern Recognit. Lett., 2020

Progressive generative adversarial networks with reliable sample identification.

Gang Wei, Minnan Luo, Huan Liu, Donghui Zhang, Qinghua Zheng

Pattern Recognit. Lett., 2020

Few-shot activity recognition with cross-modal memory network.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Mahesh Prakash, Alexander G. Hauptmann

Pattern Recognit., 2020

Memory transformation networks for weakly supervised visual classification.

Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao

Knowl. Based Syst., 2020

Dual-stream generative adversarial networks for distributionally robust zero-shot learning.

Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu

Inf. Sci., 2020

An anomaly detection framework for time-evolving attributed networks.

Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu

Neurocomputing, 2020

Nonlinear feature selection on attributed networks.

Zhongping Lin, Minnan Luo, Zhen Peng, Jundong Li, Qinghua Zheng

Neurocomputing, 2020

Scalable attack on graph data by injecting vicious nodes.

Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng

Data Min. Knowl. Discov., 2020

Self-Supervised Graph Representation Learning via Global Context Prediction.

Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng

CoRR, 2020

Graph Representation Learning via Graphical Mutual Information Maximization.

Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Unsupervised Hierarchical Feature Selection on Networked Data.

Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Graph Representation Learning for Unsupervised Graph Alignment.

Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2020

ZSTAD: Zero-Shot Temporal Activity Detection.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Graph Few-shot Learning with Attribute Matching.

Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Discrete Multi-Graph Clustering.

Minnan Luo, Caixia Yan, Qinghua Zheng, Xiaojun Chang, Ling Chen, Feiping Nie

IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.

Chunfang Liu, Wen-bing Huang, Fuchun Sun, Minnan Luo, Chuanqi Tan

IEEE Trans. Fuzzy Syst., 2019

Large-Scale Robust Semisupervised Classification.

Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng

IEEE Trans. Cybern., 2019

Scheduled sampling for one-shot learning via matching network.

Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Alexander G. Hauptmann

Pattern Recognit., 2019

Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.

Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang

IEEE Internet Things J., 2019

Anomaly Detection in Time-Evolving Attributed Networks.

Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu

Proceedings of the Database Systems for Advanced Applications, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.

Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Adaptive Unsupervised Feature Selection With Structure Regularization.

Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

IEEE Trans. Neural Networks Learn. Syst., 2018

Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities.

Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong

IEEE Trans. Ind. Informatics, 2018

An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition.

Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

IEEE Trans. Cybern., 2018

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.

Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng

Neural Comput., 2018

Robust dictionary learning with graph regularization for unsupervised person re-identification.

Caixia Yan, Minnan Luo, Wenhe Liu, Qinghua Zheng

Multim. Tools Appl., 2018

Top-<i>k</i> multi-class SVM using multiple features.

Caixia Yan, Minnan Luo, Huan Liu, Zhihui Li, Qinghua Zheng

Inf. Sci., 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.

Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Sparse Relational Topical Coding on multi-modal data.

Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang

Pattern Recognit., 2017

Avoiding Optimal Mean ℓ_{2, 1}-Norm Maximization-Based Robust PCA for Reconstruction.

Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

Neural Comput., 2017

Distributed extreme learning machine with alternating direction method of multiplier.

Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng

Neurocomputing, 2017

Simple to complex cross-modal learning to rank.

Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng

Comput. Vis. Image Underst., 2017

Simple to Complex Cross-modal Learning to Rank.

Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng

CoRR, 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.

Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

How Unlabeled Web Videos Help Complex Event Detection?

Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling.

Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions.

Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu

IEEE Trans. Fuzzy Syst., 2016

Sparse Multi-Modal Topical Coding for Image Annotation.

Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng

Neurocomputing, 2016

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ₁-Norm Maximization.

Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014

Joint Block Structure Sparse Representation for Multi-Input-Multi-Output (MIMO) T-S Fuzzy System Identification.

Minnan Luo, Fuchun Sun, Huaping Liu

IEEE Trans. Fuzzy Syst., 2014

A novel T-S fuzzy systems identification with block structured sparse representation.

Minnan Luo, Fuchun Sun, Huaping Liu, Zhijun Li

J. Frankl. Inst., 2014

Sparse fuzzy c-regression models with application to T-S fuzzy systems identification.

Minnan Luo, Fuchun Sun, Huaping Liu

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013

Hierarchical Structured Sparse Representation for T-S Fuzzy Systems Identification.

Minnan Luo, Fuchun Sun, Huaping Liu

IEEE Trans. Fuzzy Syst., 2013

2012

A new algorithm for testing diagnosability of fuzzy discrete event systems.

Minnan Luo, Yongming Li, Fuchun Sun, Huaping Liu

Inf. Sci., 2012

A dynamic T-S fuzzy systems identification algorithm based on sparsity regularization.

Minnan Luo, Fuchun Sun, Huaping Liu

Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012

2011

Optimal necessary conditions for general SISO Mamdani fuzzy systems as function approximators within a given accuracy.

Fuchun Sun, Jin Yang, Minnan Luo, Huaping Liu

Proceedings of the FUZZ-IEEE 2011, 2011