学术会议

  • Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo*, BotRGCN: Twitter bot detection with relational graph convolutional networks, Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 236-239, 2021.

  • Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo*, Satar: A self-supervised approach to twitter account representation learning and its application in bot detection, Proceedings of the 30th ACM International Conference on Information & Knowledge Management(CIKM), pp. 3808-3817, 2021.

  • Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo*, Twibot-20: A comprehensive twitter bot detection benchmark, Proceedings of the 30th ACM International Conference on Information & Knowledge Management(CIKM), pp.4485-4494, 2021.

  • Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng, Towards entity alignment in the open world: an unsupervised approach, International Conference on Database Systems for Advanced Applications, pp. 272-289, 2021.

  • Ning Wang, Minnan Luo*, Kaize Ding, Lingling Zhang, Jundong Li, and Qinghua Zheng. "Graph Few-shot Learning with Attribute Matching." In Proceedings of the 29th ACM International Conference on Information & Knowledge Management(CIKM), pp. 1545-1554. 2020.

  • Zhen Peng, Wenbing Huang*, Minnan Luo*, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang, Graph Representation Learning via Graphical Mutual Information Maximization, The Web Conference (WWW), 2020.

  • Lingling Zhang, Xiaojun Chan*, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander Hauptmann, ZSTAD: Zero-Shot Temporal Activity Detection, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Wang, Weifan, Minnan Luo*, Yan, Caixia, Wang, Meng, Zhao Xiang, Zheng, Qinghua, Cross-Graph Representation Learning for Unsupervised Graph Alignment, International Conference on Database Systems for Advanced Applications (DASFAA), 2020.

  • Yuzhe Zhang, Chen Chen, Minnan Luo*, Jundong Li, Caixia Yan, Qinghua Zheng, Unsupervised Hierarchical Feature Selection on Networked Data, International Conference on Database Systems for Advanced Applications (DASFAA), 2020.

  • Zhen Peng, Minnan Luo*,Jundong Li, Chen Chen, Qinghua Zheng, Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search , International Conference on Database Systems for Advanced Applications (DASFAA), 2019.

  • Luguo Xue, Minnan Luo*, Zhen Peng, Jundong Li, Yan Chen*, Jun Liu, Anomaly Detection in Time-Evolving Attributed Networks , 24th International Conference on Database Systems for Advanced Applications (DASFAA), 2019. 

  • Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann,  Qinghua Zheng, Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling, In Proceedings of the 31th Association for the Advancement of Artificial Intelligence (AAAI), 2017.

  • Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng, How Unlabeled Web Videos Help Complex Event Detection? In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017.

  • Minnan Luo, Lingling Zhang, Feiping Nie, Xiaojun Chang, Buyue Qian, Qinghua Zheng, Adaptive Semi-supervised Learning with Discriminative Least Squares Regression, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017. 

  • Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng, Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy L1-norm Maximization, In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

  • Minnan Luo, Fuchun Sun, Huaping Liu, Sparse Fuzzy c-regression Models with Application to T-S Fuzzy Systems Identification. In Proceedings of IEEE International Conference on Fuzzy Systems, 2014.

  • Minnan Luo, Fuchun Sun, Huaping Liu, A Dynamic T-S Fuzzy Systems Identification Algorithm based on Sparsity Regularization, In Proceedings of IEEE International Symposium on Intelligent Control, 2012.

  • Fuchun Sun, Jin Yang, Minnan Luo, Huaping Liu, Optimal Necessary Conditions for General SISO Mamdani Fuzzy Systems as Function Approximators within a Given Accuracy, In Proceedings of IEEE International Conference on Fuzzy Systems, 2011.

学术期刊

  • Xiang Zhao; Weixin Zeng; Jiuyang Tang; Xinyi Li; Minnan Luo; Qinghua Zheng; Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling, Data Science and Engineering, 2022, 7: 16-29.
  • Zhen Peng; Minnan Luo*; Wenbing Huang*; Jundong Li; Qinghua Zheng; Fuchun Sun; Junzhou Huang; Learning Representations by Graphical Mutual Information Estimation and Maximization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
  • Caixia Yan; Xiaojun Chang; Minnan Luo; Huan Liu; Xiaoqin Zhang*; Qinghua Zheng; Semantics-Guided Contrastive Network for Zero-Shot Object detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.
  • Minnan Luo; Xiaojun Chang*; Chen Gong; Reliable shot identification for complex event detection via visual-semantic embedding, Computer Vision and Image Understanding, 2021, 213:103300.
  • Huan Liu*; Qinghua Zheng; Minnan Luo; Xiaojun Chang; Caixia Yan; Lina Yao; Memory transformation networks for weakly supervised visual classification, 2020, Knowledge-Based Systems, 210: 106432.
  • Caixia Yan; Xiaojun Chang; Minnan Luo; Qinghua Zheng; Xiaoqin Zhang*; Zhihui Li*; Feiping Nie; Self-weighted robust LDA for multiclass classification with edge classes, ACM Transactions on Intelligent Systems and Technology, 2020, 12: 1-19.
  • Lingling Zhang; Xiaojun Chang; Jun Liu; Minnan Luo*; Mahesh Prakash; Alexander G Hauptmann; Few-shot activity recognition with cross-modal memory network, Pattern Recognition, 2020, 108: 107348.
  • Zhongping Lin; Minnan Luo*; Zhen Peng; Jundong Li; Qinghua Zheng; Nonlinear feature selection on attributed networks, Neurocomputing, 2020, 410: 161-173.
  • Luguo Xue; Yan Chen; Minnan Luo*; Zhen Peng; Jun Liu; An anomaly detection framework for time-evolving attributed networks, Neurocomputing, 2020, 407: 39-49.
  • Jihong Wang; Minnan Luo*; Fnu Suya; Jundong Li; Zijiang Yang; Qinghua Zheng; Scalable attack on graph data by injecting vicious nodes, Data Mining and Knowledge Discovery 34, no. 5 (2020): 1363-1389.
  • Zhen Peng; Minnan Luo*; Jundong Li; Luguo Xue; Qinghua Zheng; A Deep Multi-View Framework for Anomaly Detection on Attributed Networks, IEEE Transactions on Knowledge and Data Engineering (2020).
  • Caixia Yan; Qinghua Zheng; Xiaojun Chang; Minnan Luo; Chung-Hsing Yeh; Alexander G. Hauptman; Semantics-preserving graph propagation for zero-shot object detection, IEEE Transactions on Image Processing, 2020, 29: 8163-8176.
  • Yixiang Dong; Minnan Luo*; Jundong Li; Deng Cai; Qinghua Zheng; LookCom: Learning Optimal Network for Community Detection, IEEE Transactions on Knowledge and Data Engineering, 2020.
  • Minnan Luo; Caixia Yan; Qinghua Zheng; Xiaojun Chang; Ling Chen; Feiping Nie*; Discrete Multi-Graph Clustering , IEEE Transactions on Image Processing, 2019, 28(9): 4701-4712.
  • Huan Liu*; Lina Yao; Qinghua Zheng; Minnan Luo; Hongke Zhao; Yanzhang Lyu; Dual-stream Generative Adversarial Networks for Distributionally Robust Zero-shot Learning, Information Sciences, 2020, 519: 407-422.
  • Gang Wei; Minnan Luo*; Huan Liu; Donghui Zhang; Qinghua Zheng; Progressive Generative Adversarial Networks with Reliable Sample Identification, Pattern Recognition Letters, 2020, 130: 91-98.
  • 刘欢; 郑庆华; 罗敏楠; 赵洪科; 肖阳; 吕彦章; 基于跨域对抗学习的零样本分类, 计算机研究与发展, 2019, 56(12): 2521-2535.
  • Qichao Xu; Zhou Su*; Qinghua Zheng; Minnan Luo; Bo Dong; Kuan Zhang; Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks , IEEE Internet of Things Journal, 2019, 6(3): 4536-4546.
  • Lingling Zhang; Minnan Luo*; Jun Liu; Xiaojun Chang; Yi Yang; Alexander G. Hauptmann; Deep Top-k Ranking for Image–Sentence Matching, IEEE Transactions on Multimedia, 2019, 22(3): 775-785.
  • Lingling Zhang*; Jun Liu; Minnan Luo; Xiaojun Chang; Qinghua Zheng; Alexander G. Hauptmann; Scheduled Sampling for One-shot Learning via Matching Network , Pattern Recognition, 2019, 96: 0-106962.
  • Chunfang Liu; Wenbing Huang; Fuchun Sun*; Minnan Luo; Chuanqi Tan; LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition , IEEE Transactions on Fuzzy Systems, 2019, 27(1): 72-83.
  • Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang, Qinghua Zheng, Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy, Neural computation, 2018, 30(5): 1426-1447.
  • Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G Hauptmann, Qinghua Zheng, Adaptive Unsupervised Feature Selection with Structure Regularization, IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(4): 944-956.
  • Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G Hauptmann, Qinghua Zheng, An Adaptive Semi-supervised Feature Analysis for Video Semantic Recognition, IEEE Transactions on Cybernetics, 2018, 48(2): 648-660.
  • Lingling Zhang, Minnan Luo, Zhihui Li, Feiping Nie, Huaxiang Zhang, Jun Liu, Qinghua Zheng, Large-Scale Robust Semi-supervised Classification, IEEE Transactions on Cybernetics, 2018.
  • Caixia Yan, Minnan Luo, Huan Liu, Zhihui Li, Qinghua Zheng, Top-k Multi-class SVM Using Multiple Features, 2018, 432: 479-494.
  • Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Secure Content Delivery with Edge Nodes to Save Caching Resources for Mobile Users in Green Cities, IEEE Transactions on Industrial Informatics, 2018, 14(6): 2550-2559.
  • Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G Hauptmann, Qinghua Zheng, Simple to Complex Cross-modal Learning to Rank, Computer Vision and Image Understanding, 2017, 163: 67-77.
  • Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G Hauptmann, Qinghua Zheng, Avoiding Optimal Mean L21-Norm Maximization-Based Robust PCA for Reconstruction, Neural computation, 2017, 29(4): 1124-1150.
  • Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang, Sparse Relational Topical Coding on Multi-modal Data, Pattern Recognition, 2017, 72: 368-380.
  • Minnan Luo, Lingling Zhang, Jun Liu, Jun Guo, Qinghua Zheng, Distributed Extreme Learning Machine with Alternating Direction Method of Multiplier, Neurocomputing, 2017, 261: 164-170.
  • Caixia Yan, Minnan Luo*, Wenhe Liu, Qinghua Zheng, Robust Dictionary Learning with Graph Regularization for Unsupervised Person Re-identification, Multimedia Tools and Applications, 2018, 77(3): 3553-3577.
  • Lingyun Song, Minnan Luo*, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng, Sparse Multi-modal Topical Coding for Image Annotation, Neurocomputing, 2016, 214: 162-174.
  • Hengshan Zhang, Qinghua Zheng, Ting Liu, Zijiang Yang, Minnan Luo, Yu Qu, Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions, IEEE Transactions on Fuzzy Systems, 2016, 24(3): 600-614.
  • Minnan Luo, Fuchun Sun, Huaping Liu, Dynamic T‐S Fuzzy Systems Identification Based on Sparse Regularization, Asian Journal of Control, 2015, 17(1): 274-283.
  • Minnan Luo, Fuchun Sun, Huaping Liu, Joint Block Structure Sparse Representation for Multi-input–multi-output (MIMO) T–S Fuzzy System Identification, IEEE Transactions on Fuzzy Systems, 2014, 22(6): 1387-1400.
  • Minnan Luo, Fuchun Sun, Huaping Liu, Zhijun Li, A Novel T–S fuzzy Systems Identification with Block Structured Sparse Representation, Journal of the Franklin Institute, 2014, 351(7): 3508-3523.
  • Minnan Luo, Fuchun Sun, Huaping Liu, Hierarchical Structured Sparse Representation for T–S Fuzzy Systems Identification, IEEE Transactions on Fuzzy Systems, 2013, 21(6): 1032-1043.
  • Minnan Luo, Yongming Li, Fuchun Sun, Huaping Liu, A New Algorithm for Testing Diagnosability of Fuzzy Discrete Event Systems, Information Sciences, 2012, 185(1): 100-113.