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ORCIDHua Mao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j44]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): 4 (2024)- [j43]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): 2967-2979 (2024) - [c15]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: 1028-1035 - [i4]Jie Chen, Hua Mao, Yuanbiao Gou, Xi Peng:
Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams. CoRR abs/2409.04698 (2024) - 2023
- [j42]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): 13082-13109 (2023) - [j41]Hua Mao, Shengyu Wang, Chang Liu, Gang Wang:
Hypergraph-based attribute reduction of formal contexts in rough sets. Expert Syst. Appl. 234: 121062 (2023) - [j40]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): 660 (2023) - [j39]Hua Mao, Yilin Cheng, Xiaoqing Liu:
Three-way preconcept and two forms of approximation operators. Soft Comput. 27(2): 855-865 (2023) - [j38]Hua Mao, Jingze Ma, Zhenhua Niu:
Two new kinds of protoconcepts based on three-way decisions model. Soft Comput. 27(17): 11973-11984 (2023) - [j37]Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao:
Two-Stage Sparse Representation Clustering for Dynamic Data Streams. IEEE Trans. Cybern. 53(10): 6408-6420 (2023) - [j36]Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng:
Multiview Clustering by Consensus Spectral Rotation Fusion. IEEE Trans. Image Process. 32: 5153-5166 (2023) - [j35]Jie Chen, Zhu Wang, Hua Mao, Xi Peng:
Low-Rank Tensor Learning for Incomplete Multiview Clustering. IEEE Trans. Knowl. Data Eng. 35(11): 11556-11569 (2023) - [j34]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): 4208-4222 (2023) - [c14]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. ICCV 2023: 16706-16715 - [i3]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. CoRR abs/2304.10769 (2023) - [i2]Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng:
Cross-View Graph Consistency Learning for Invariant Graph Representations. CoRR abs/2311.11821 (2023) - 2022
- [j33]Gang Wang, Hua Mao:
Approximation operators via TD-matroids on two sets. Soft Comput. 26(19): 9785-9804 (2022) - [j32]Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy:
Multiview Subspace Clustering Using Low-Rank Representation. IEEE Trans. Cybern. 52(11): 12364-12378 (2022) - [j31]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): 1740-1751 (2022) - 2021
- [j30]Hua Mao, Yilin Cheng:
Three-way rough semiconcept. J. Intell. Fuzzy Syst. 40(3): 4317-4330 (2021) - [j29]Hua Mao, Xiaoqing Liu, Gang Wang:
Two forms of three-way semiconcepts. J. Intell. Fuzzy Syst. 40(6): 10853-10864 (2021) - [j28]Jie Chen, Hua Mao, Zhu Wang, Xinpei Zhang:
Low-rank representation with adaptive dictionary learning for subspace clustering. Knowl. Based Syst. 223: 107053 (2021) - [i1]Jie Chen, Hua Mao:
Efficient algorithms for collecting the statistics of large-scale IP address data. CoRR abs/2108.04000 (2021) - 2020
- [j27]Yan Mao, Zixuan Fan, Hua Mao, Wu He:
Asymmetric Intimacy Based Positive Emotions Contagion Peer Public Safety Evacuation Behavior. IEEE Access 8: 185253-185265 (2020)
2010 – 2019
- 2019
- [j26]Hua Mao:
Approximation operators for semiconcepts. J. Intell. Fuzzy Syst. 36(4): 3333-3343 (2019) - [j25]Hua Mao, Zhen Zheng:
The construction of fuzzy concept lattice based on weighted complete graph. J. Intell. Fuzzy Syst. 36(6): 5797-5805 (2019) - [j24]Lanzhen Yang, Hua Mao:
Intuitionistic fuzzy threshold graphs. J. Intell. Fuzzy Syst. 36(6): 6641-6651 (2019) - [j23]Yuni Zeng, Hua Mao, Dezhong Peng, Zhang Yi:
Spectrogram based multi-task audio classification. Multim. Tools Appl. 78(3): 3705-3722 (2019) - [j22]Yangxu Wang, Hua Mao, Zhang Yi:
Stem cell motion-tracking by using deep neural networks with multi-output. Neural Comput. Appl. 31(8): 3455-3467 (2019) - 2018
- [j21]Jie Chen, Hua Mao, Haixian Zhang, Zhang Yi:
Symmetric low-rank preserving projections for subspace learning. Neurocomputing 315: 381-393 (2018) - [j20]Hua Mao, Hui-Ru Miao:
Attribute reduction based on directed graph in formal fuzzy contexts. J. Intell. Fuzzy Syst. 34(6): 4139-4148 (2018) - [j19]Hua Mao, Shufeng Zhao, Lanzhen Yang:
Relationships between three-way concepts and classical concepts. J. Intell. Fuzzy Syst. 35(1): 1063-1075 (2018) - [j18]Yu Wu, Hua Mao, Zhang Yi:
Audio classification using attention-augmented convolutional neural network. Knowl. Based Syst. 161: 90-100 (2018) - 2017
- [j17]Tao He, Hua Mao, Jixiang Guo, Zhang Yi:
Cell tracking using deep neural networks with multi-task learning. Image Vis. Comput. 60: 142-153 (2017) - [j16]Hua Mao, Geng-Mei Lin:
Interval neutrosophic fuzzy concept lattice representation and interval-similarity measure. J. Intell. Fuzzy Syst. 33(2): 957-967 (2017) - [j15]Yangxu Wang, Hua Mao, Zhang Yi:
Protein secondary structure prediction by using deep learning method. Knowl. Based Syst. 118: 115-123 (2017) - [j14]Jie Chen, Hua Mao, Yongsheng Sang, Zhang Yi:
Subspace clustering using a symmetric low-rank representation. Knowl. Based Syst. 127: 46-57 (2017) - [j13]Yao Zhou, Hua Mao, Zhang Yi:
Cell mitosis detection using deep neural networks. Knowl. Based Syst. 137: 19-28 (2017) - [j12]Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi:
Explicit guiding auto-encoders for learning meaningful representation. Neural Comput. Appl. 28(3): 429-436 (2017) - [j11]Tao He, Hua Mao, Zhang Yi:
Moving object recognition using multi-view three-dimensional convolutional neural networks. Neural Comput. Appl. 28(12): 3827-3835 (2017) - [j10]Hua Mao:
Representing attribute reduction and concepts in concept lattice using graphs. Soft Comput. 21(24): 7293-7311 (2017) - [j9]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): 911-916 (2017) - 2016
- [j8]Jie Chen, Haixian Zhang, Hua Mao, Yongsheng Sang, Zhang Yi:
Symmetric low-rank representation for subspace clustering. Neurocomputing 173: 1192-1202 (2016) - [j7]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): 511-552 (2016) - [j6]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): 255-299 (2016) - [j5]Yanan Sun, Hua Mao, Quan Guo, Zhang Yi:
Learning a good representation with unsymmetrical auto-encoder. Neural Comput. Appl. 27(5): 1361-1367 (2016) - [c13]Yanan Sun, Gary G. Yen, Hua Mao, Zhang Yi:
Manifold dimension reduction based clustering for multi-objective evolutionary algorithm. CEC 2016: 3785-3792 - 2014
- [j4]Hua Mao:
Characterization and reduction of concept lattices through matroid theory. Inf. Sci. 281: 338-354 (2014) - [c12]Yinghui Pan, Yifeng Zeng, Hua Mao:
Learning Agents' Relations in Interactive Multiagent Dynamic Influence Diagrams. ADMI 2014: 1-11 - [c11]Wenyun Wu, Biyang Ma, Shaoxin Zhang, Yifeng Zeng, Hua Mao:
Diversifying the Storytelling Using Bayesian Networks. ADMI 2014: 104-113 - [c10]Manfred Jaeger, Hua Mao, Kim Guldstrand Larsen, Radu Mardare:
Continuity Properties of Distances for Markov Processes. QEST 2014: 297-312 - 2012
- [c9]Yifeng Zeng, Hua Mao, Yinghui Pan, Jian Luo:
Improved use of partial policies for identifying behavioral equivalence. AAMAS 2012: 1015-1022 - [c8]Yifeng Zeng, Hua Mao, Fan Yang, Jian Luo:
An Optimization Approach to Believable Behavior in Computer Games. ADMI 2012: 81-92 - [c7]Yifeng Zeng, Hua Mao, Prashant Doshi, Yinghui Pan, Jian Luo:
Learning Communication in Interactive Dynamic Influence Diagrams. IAT 2012: 243-250 - [c6]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: 216-230 - [c5]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Markov Decision Processes for Model Checking. QFM 2012: 49-63 - [c4]Hua Mao, Manfred Jaeger:
Learning and Model-Checking Networks of I/O Automata. ACML 2012: 285-300 - 2011
- [c3]Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo:
Utilizing Partial Policies for Identifying Equivalence of Behavioral Models. AAAI 2011: 1083-1088 - [c2]Yifeng Zeng, Xian He, Yanping Xiang, Hua Mao:
Dynamic Ordering-Based Search Algorithm for Markov Blanket Discovery. PAKDD (2) 2011: 420-431 - [c1]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Probabilistic Automata for Model Checking. QEST 2011: 111-120
2000 – 2009
- 2009
- [j3]Hua Mao:
Paving matroids of arbitrary cardinality. Ars Comb. 90 (2009) - 2006
- [j2]Hua Mao:
On geometric lattices and matroids of arbitrary cardinality. Ars Comb. 81 (2006) - 2004
- [j1]Hua Mao, Sanyang Liu:
Factorization theorem for strong maps. Discret. Math. 289(1-3): 187-192 (2004)
Coauthor Index
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last updated on 2024-10-12 23:00 CEST by the dblp team
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