Hua Mao

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 47

Top Topics

Intuitionistic Fuzzy

Rough Set Approximations

Subspace Clustering

Top Venues

J. Intell. Fuzzy Syst.

Knowl. Based Syst.

Publications

Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu
Dynamic Graph Embedding via Meta-Learning. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Jacob Sanderson, Hua Mao, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo
Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques. ICAART (3) (2024)
Hao Yang, Hua Mao, Wai Lok Woo, Jie Chen, Xi Peng
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning. CoRR (2024)
SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima, Wai Lok Woo
Explainable AI Evaluation: A Top-Down Approach for Selecting Optimal Explanations for Black Box Models. Inf. 15 (1) (2024)
Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng
Multiview Clustering by Consensus Spectral Rotation Fusion. IEEE Trans. Image Process. 32 (2023)
Hua Mao, Jingze Ma, Zhenhua Niu
Two new kinds of protoconcepts based on three-way decisions model. Soft Comput. 27 (17) (2023)
Jie Chen, Zhu Wang, Hua Mao, Xi Peng
Low-Rank Tensor Learning for Incomplete Multiview Clustering. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng
Deep Multiview Clustering by Contrasting Cluster Assignments. ICCV (2023)
Jacob Sanderson, Hua Mao, Mohammed A. M. Abdullah, Raid Rafi Omar Al-Nima, Wai Lok Woo
Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning. Inf. 14 (12) (2023)
Gang Wang, Hua Mao, Chang Liu, Zhiming Zhang, Lanzhen Yang
Rough set approximations based on a matroidal structure over three sets. Appl. Intell. 53 (11) (2023)
Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng
Cross-View Graph Consistency Learning for Invariant Graph Representations. CoRR (2023)
Hua Mao, Yilin Cheng, Xiaoqing Liu
Three-way preconcept and two forms of approximation operators. Soft Comput. 27 (2) (2023)
Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao
Two-Stage Sparse Representation Clustering for Dynamic Data Streams. IEEE Trans. Cybern. 53 (10) (2023)
Hua Mao, Shengyu Wang, Chang Liu, Gang Wang
Hypergraph-based attribute reduction of formal contexts in rough sets. Expert Syst. Appl. 234 (2023)
Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng
Deep Multiview Clustering by Contrasting Cluster Assignments. CoRR (2023)
Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao
Efficient Sparse Representation for Learning With High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Tao He, Hua Mao, Zhang Yi
Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy
Multiview Subspace Clustering Using Low-Rank Representation. IEEE Trans. Cybern. 52 (11) (2022)
Gang Wang, Hua Mao
Approximation operators via TD-matroids on two sets. Soft Comput. 26 (19) (2022)
Hua Mao, Xiaoqing Liu, Gang Wang
Two forms of three-way semiconcepts. J. Intell. Fuzzy Syst. 40 (6) (2021)
Jie Chen, Hua Mao, Zhu Wang, Xinpei Zhang
Low-rank representation with adaptive dictionary learning for subspace clustering. Knowl. Based Syst. 223 (2021)
Jie Chen, Hua Mao
Efficient algorithms for collecting the statistics of large-scale IP address data. CoRR (2021)
Hua Mao, Yilin Cheng
Three-way rough semiconcept. J. Intell. Fuzzy Syst. 40 (3) (2021)
Yan Mao, Zixuan Fan, Hua Mao, Wu He
Asymmetric Intimacy Based Positive Emotions Contagion Peer Public Safety Evacuation Behavior. IEEE Access 8 (2020)
Hua Mao
Approximation operators for semiconcepts. J. Intell. Fuzzy Syst. 36 (4) (2019)
Yuni Zeng, Hua Mao, Dezhong Peng, Zhang Yi
Spectrogram based multi-task audio classification. Multim. Tools Appl. 78 (3) (2019)
Yangxu Wang, Hua Mao, Zhang Yi
Stem cell motion-tracking by using deep neural networks with multi-output. Neural Comput. Appl. 31 (8) (2019)
Lanzhen Yang, Hua Mao
Intuitionistic fuzzy threshold graphs. J. Intell. Fuzzy Syst. 36 (6) (2019)
Hua Mao, Zhen Zheng
The construction of fuzzy concept lattice based on weighted complete graph. J. Intell. Fuzzy Syst. 36 (6) (2019)
Yu Wu, Hua Mao, Zhang Yi
Audio classification using attention-augmented convolutional neural network. Knowl. Based Syst. 161 (2018)
Hua Mao, Hui-Ru Miao
Attribute reduction based on directed graph in formal fuzzy contexts. J. Intell. Fuzzy Syst. 34 (6) (2018)
Hua Mao, Shufeng Zhao, Lanzhen Yang
Relationships between three-way concepts and classical concepts. J. Intell. Fuzzy Syst. 35 (1) (2018)
Jie Chen, Hua Mao, Haixian Zhang, Zhang Yi
Symmetric low-rank preserving projections for subspace learning. Neurocomputing 315 (2018)
Tao He, Hua Mao, Zhang Yi
Moving object recognition using multi-view three-dimensional convolutional neural networks. Neural Comput. Appl. 28 (12) (2017)
Hua Mao, Geng-Mei Lin
Interval neutrosophic fuzzy concept lattice representation and interval-similarity measure. J. Intell. Fuzzy Syst. 33 (2) (2017)
Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi
Explicit guiding auto-encoders for learning meaningful representation. Neural Comput. Appl. 28 (3) (2017)
Tao He, Hua Mao, Jixiang Guo, Zhang Yi
Cell tracking using deep neural networks with multi-task learning. Image Vis. Comput. 60 (2017)
Yangxu Wang, Hua Mao, Zhang Yi
Protein secondary structure prediction by using deep learning method. Knowl. Based Syst. 118 (2017)
Jiali Yu, Hua Mao, Zhang Yi
Parameter as a Switch Between Dynamical States of a Network in Population Decoding. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi
Subspace clustering using a symmetric low-rank representation. Knowl. Based Syst. 127 (2017)
Yao Zhou, Hua Mao, Zhang Yi
Cell mitosis detection using deep neural networks. Knowl. Based Syst. 137 (2017)
Hua Mao
Representing attribute reduction and concepts in concept lattice using graphs. Soft Comput. 21 (24) (2017)
Yanan Sun, Hua Mao, Quan Guo, Zhang Yi
Learning a good representation with unsymmetrical auto-encoder. Neural Comput. Appl. 27 (5) (2016)
Yanan Sun, Gary G. Yen, Hua Mao, Zhang Yi
Manifold dimension reduction based clustering for multi-objective evolutionary algorithm. CEC (2016)
Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi
Symmetric low-rank representation for subspace clustering. Neurocomputing 173 (2016)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning deterministic probabilistic automata from a model checking perspective. Mach. Learn. 105 (2) (2016)
Yifeng Zeng, Prashant Doshi, Yingke Chen, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran
Approximating behavioral equivalence for scaling solutions of I-DIDs. Knowl. Inf. Syst. 49 (2) (2016)
Hua Mao
Characterization and reduction of concept lattices through matroid theory. Inf. Sci. 281 (2014)
Wenyun Wu, Biyang Ma, Shaoxin Zhang, Yifeng Zeng, Hua Mao
Diversifying the Storytelling Using Bayesian Networks. ADMI (2014)
Yinghui Pan, Yifeng Zeng, Hua Mao
Learning Agents' Relations in Interactive Multiagent Dynamic Influence Diagrams. ADMI (2014)
Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare
Continuity Properties of Distances for Markov Processes. QEST (2014)
Yifeng Zeng, Hua Mao, Prashant Doshi, Yinghui Pan, Jian Luo
Learning Communication in Interactive Dynamic Influence Diagrams. IAT (2012)
Hua Mao, Manfred Jaeger
Learning and Model-Checking Networks of I/O Automata. ACML (2012)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning Markov Decision Processes for Model Checking QFM (2012)
Yifeng Zeng, Hua Mao, Yinghui Pan, Jian Luo
Improved use of partial policies for identifying behavioral equivalence. AAMAS (2012)
Yingke Chen, Hua Mao, Manfred Jaeger, Thomas Dyhre Nielsen, Kim Guldstrand Larsen, Brian Nielsen
Learning Markov Models for Stationary System Behaviors. NASA Formal Methods (2012)
Yifeng Zeng, Hua Mao, Fan Yang, Jian Luo
An Optimization Approach to Believable Behavior in Computer Games. ADMI (2012)
Yifeng Zeng, Xian He, Yanping Xiang, Hua Mao
Dynamic Ordering-Based Search Algorithm for Markov Blanket Discovery. PAKDD (2) (2011)
Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen
Learning Probabilistic Automata for Model Checking. QEST (2011)
Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo
Utilizing Partial Policies for Identifying Equivalence of Behavioral Models. AAAI (2011)
Hua Mao
Paving matroids of arbitrary cardinality. Ars Comb. 90 (2009)
Hua Mao
On geometric lattices and matroids of arbitrary cardinality. Ars Comb. 81 (2006)
Hua Mao, Sanyang Liu
Factorization theorem for strong maps. Discret. Math. 289 (1-3) (2004)