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2020 – today
- 2022
[j14]Ruiguo Yu, Yuan Tian, Jie Gao, Zhiqiang Liu, Xi Wei, Han Jiang, Yuxiao Huang, Xuewei Li:
Feature discretization-based deep clustering for thyroid ultrasound image feature extraction. Comput. Biol. Medicine 146: 105600 (2022)- [j13]Qingxia Shang, Yuxiao Huang, Yu Wang, Min Li, Liang Feng
:
Solving vehicle routing problem by memetic search with evolutionary multitasking. Memetic Comput. 14(1): 31-44 (2022) - [j12]Qingxia Shang, Yuxiao Huang, Junwei Dong, Yaqing Hou, Yu Wang, Min Li, Liang Feng:
Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization. Neural Comput. Appl. 34(10): 7673-7689 (2022) - [j11]Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang:
Identification of Communities With Multi-Semantics via Bayesian Generative Model. IEEE Trans. Big Data 8(4): 869-881 (2022) - [j10]Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang:
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism. IEEE Trans. Big Data 8(4): 994-1006 (2022) - [j9]Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan:
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm. IEEE Trans. Evol. Comput. 26(3): 585-598 (2022) - [j8]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [c16]Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. AAAI 2022: 4210-4218 - [c15]Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang:
Inflation Improves Graph Neural Networks. WWW 2022: 1466-1474 - [c14]Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang:
Graph Neural Network for Higher-Order Dependency Networks. WWW 2022: 1622-1630 - [i3]Yuxiao Huang, Yan Ma:
CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks. CoRR abs/2208.02931 (2022) - 2021
- [j7]Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang:
A network embedding-enhanced Bayesian model for generalized community detection in complex networks. Inf. Sci. 575: 306-322 (2021) - [j6]Kuntharrgyal Khysru, Di Jin, Yuxiao Huang, Hui Feng, Jianwu Dang:
A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words. IEEE Signal Process. Lett. 28: 459-463 (2021) - [j5]Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan:
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51(6): 3143-3156 (2021) - [c13]Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang:
Self-Guided Community Detection on Networks with Missing Edges. IJCAI 2021: 3508-3514 - [c12]Xia Chen, Yuxiao Huang, Wei Zhou, Liang Feng:
Evolutionary Multitasking via Artificial Neural Networks. SMC 2021: 1545-1552 - [i2]Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. CoRR abs/2112.13562 (2021) - 2020
- [c11]Yuxiao Huang:
Improving Classification Accuracy by Mining Deterministic and Frequent Rules. FLAIRS Conference 2020: 63- - [c10]Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang:
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. ICDM 2020: 1244-1249 - [c9]Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu:
Adversarial Mutual Information Learning for Network Embedding. IJCAI 2020: 3321-3327
2010 – 2019
- 2019
- [c8]Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang:
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. IJCAI 2019: 5730-5736 - [c7]Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang:
A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW 2019: 2886-2892 - 2016
- [c6]Christopher A. Merck, Christina Maher, Mark Mirtchouk, Min Zheng, Yuxiao Huang, Samantha Kleinberg:
Multimodality sensing for eating recognition. PervasiveHealth 2016: 130-137 - 2015
- [j4]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Nathaniel Heintzman, Samantha Kleinberg:
Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data. J. Biomed. Informatics 58: 198-207 (2015) - [c5]Yuxiao Huang, Samantha Kleinberg:
Fast and Accurate Causal Inference from Time Series Data. FLAIRS Conference 2015: 49-54 - [c4]Shah Atiqur Rahman, Christopher A. Merck, Yuxiao Huang, Samantha Kleinberg:
Unintrusive eating recognition using Google Glass. PervasiveHealth 2015: 108-111 - 2014
- [j3]Xuewu Liu, Yuxiao Huang, Jiao Liang, Shuai Zhang, Yinghui Li, Jun Wang, Yan Shen, Zhikai Xu, Ya Zhao:
Computational prediction of protein interactions related to the invasion of erythrocytes by malarial parasites. BMC Bioinform. 15: 393 (2014) - [c3]Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg:
Imputation of Missing Values in Time Series with Lagged Correlations. ICDM Workshops 2014: 753-762 - 2013
- [i1]Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin:
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. CoRR abs/1303.4711 (2013) - 2012
- [j2]Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin:
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. Adv. Complex Syst. 15(8) (2012) - [j1]Dayou Liu, Yuxiao Huang, Qiangyuan Yu, Juan Chen, Haiyang Jia:
A search problem in complex diagnostic Bayesian networks. Knowl. Based Syst. 30: 95-103 (2012) - [c2]Juan Chen, Haiyang Jia, Yuxiao Huang, Dayou Liu:
Learning the structure of Dynamic Bayesian Network with domain knowledge. ICMLC 2012: 372-375 - 2011
- [c1]Yuxiao Huang, Haiyang Jia, Yungang Zhu, Dayou Liu:
A factor graph inference algorithm for diagnostic Bayesian networks. ICNC 2011: 486-488
Coauthor Index
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