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Jincai Huang 0001
Person information
- affiliation: National University of Defense Technology, College of Systems Engineering, Changsha, China
Other persons with the same name
- Jincai Huang 0002 — Central South University, Department of Computer Science, Changsha, China (and 2 more)
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2020 – today
- 2025
- [j38]Yuehang Si, Xingchen Hu, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang:
Coherence mode: Characterizing local graph structural information for temporal knowledge graph. Inf. Sci. 686: 121357 (2025) - 2024
- [j37]Jincai Huang, Bai Yang, Guangquan Cheng, Jinwu Gao:
Preface: special issue on intelligent planning and decision making. Evol. Intell. 17(1): 1 (2024) - [j36]Jilei Li, GuangQuan Cheng, QiPeng Yin, JinCai Huang, WenChen Chen, JinMing Du:
A practical method for the expert academic personas classification based on text classifier. Evol. Intell. 17(1): 31-36 (2024) - [j35]Ning Li, Xingjiang Chen, Ziang Chen, Lulu Jiang, Li Wang, Jincai Huang, Guangquan Cheng:
Construction of key parameter change model of human-computer interaction for intelligent decision-making under the condition of long time voyage. Evol. Intell. 17(1): 201-211 (2024) - [j34]Changjiang Qin, Yi Liang, Jincai Huang, Zhong Liu:
Node capability dependency importance evaluation of heterogeneous target operational network. Evol. Intell. 17(1): 283-290 (2024) - [j33]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5388-5408 (2024) - [j32]Xu Wang, Sen Wang, Xingxing Liang, Dawei Zhao, Jincai Huang, Xin Xu, Bin Dai, Qiguang Miao:
Deep Reinforcement Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5064-5078 (2024) - [j31]Honglan Huang, Wei Shi, Yanghe Feng, Chaoyue Niu, Guangquan Cheng, Jincai Huang, Zhong Liu:
Active Client Selection for Clustered Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16424-16438 (2024) - [j30]Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation. ACM Trans. Spatial Algorithms Syst. 10(3): 23:1-23:22 (2024) - [c30]Min Wang, Hao Yang, Jincai Huang, Qing Cheng:
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. AAAI 2024: 21681-21689 - [i14]Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang:
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach. CoRR abs/2402.06654 (2024) - [i13]Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen:
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR abs/2405.12094 (2024) - [i12]Yong Zhao, Zhengqiu Zhu, Chen Gao, En Wang, Jincai Huang, Fei-Yue Wang:
Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing. CoRR abs/2410.15449 (2024) - 2023
- [j29]Guangyin Jin, Hengyu Sha, Zhexu Xi, Jincai Huang:
Urban hotspot forecasting via automated spatio-temporal information fusion. Appl. Soft Comput. 136: 110087 (2023) - [j28]Jing Yang, Wencang Zhao, Minghua Lu, Jincai Huang:
Deep Active Recognition through Online Cognitive Learning. Int. J. Pattern Recognit. Artif. Intell. 37(9): 2352013:1-2352013:23 (2023) - [j27]Qing Cheng, Yanghui Fu, Jincai Huang, Guangquan Cheng, Hang Du:
Event detection based on the label attention mechanism. Int. J. Mach. Learn. Cybern. 14(2): 633-641 (2023) - [j26]Shixuan Liu, Yanghe Feng, Keyu Wu, Guangquan Cheng, Jincai Huang, Zhong Liu:
Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization. IEEE Trans. Cybern. 53(4): 2311-2324 (2023) - [j25]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Dual Graph Convolution Architecture Search for Travel Time Estimation. ACM Trans. Intell. Syst. Technol. 14(4): 64:1-64:23 (2023) - [j24]Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang:
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24(8): 8820-8830 (2023) - [c29]Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang:
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. AAAI 2023: 14268-14276 - [c28]Qi Wang, Yiqin Lv, Yang-He Feng, Zheng Xie, Jincai Huang:
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. NeurIPS 2023 - [i11]Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng:
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey. CoRR abs/2303.14483 (2023) - [i10]Qi Wang, Yanghe Feng, Jincai Huang, Yiqin Lv, Zheng Xie, Xiaoshan Gao:
Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI. CoRR abs/2308.02561 (2023) - [i9]Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu:
The Expressive Power of Graph Neural Networks: A Survey. CoRR abs/2308.08235 (2023) - [i8]Qi Wang, Yiqin Lv, Yanghe Feng, Zheng Xie, Jincai Huang:
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm. CoRR abs/2310.00708 (2023) - [i7]Guangyin Jin, Lingbo Liu, Fuxian Li, Jincai Huang:
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction. CoRR abs/2311.08635 (2023) - [i6]Yong Zhao, Zhengqiu Zhu, Bin Chen, Sihang Qiu, Jincai Huang, Xin Lu, Weiyi Yang, Chuan Ai, Kuihua Huang, Cheng He, Yucheng Jin, Zhong Liu, Fei-Yue Wang:
Towards parallel intelligence: an interdisciplinary solution for complex systems. CoRR abs/2311.12838 (2023) - [i5]Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, Junchi Yan:
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation. CoRR abs/2312.08103 (2023) - 2022
- [j23]Guangyin Jin, Min Wang, Jinlei Zhang, Hengyu Sha, Jincai Huang:
STGNN-TTE: Travel time estimation via spatial-temporal graph neural network. Future Gener. Comput. Syst. 126: 70-81 (2022) - [j22]Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang:
Deep multi-view graph-based network for citywide ride-hailing demand prediction. Neurocomputing 510: 79-94 (2022) - [j21]Ning Li, Xingjiang Chen, Yanghe Feng, Jincai Huang:
Human-Computer Interaction Cognitive Behavior Modeling of Command and Control Systems. IEEE Internet Things J. 9(14): 12723-12736 (2022) - [j20]Guangyin Jin, Chenxi Liu, Zhexu Xi, Hengyu Sha, Yanyun Liu, Jincai Huang:
Adaptive Dual-View WaveNet for urban spatial-temporal event prediction. Inf. Sci. 588: 315-330 (2022) - [j19]Wei Shi, Yanghe Feng, Honglan Huang, Zhong Liu, Jincai Huang, Guangquan Cheng:
Efficient hierarchical policy network with fuzzy rules. Int. J. Mach. Learn. Cybern. 13(2): 447-459 (2022) - [j18]Ning Li, Jincai Huang, Yang-He Feng:
Construction of multi-channel fusion salient object detection network based on gating mechanism and pooling network. Multim. Tools Appl. 81(9): 12111-12126 (2022) - [c27]Jie Xie, Qing Cheng, Guangquan Cheng, Jincai Huang:
Detection of anomalies in key performance indicator data by a convolutional long short-term memory prediction model. CACML 2022: 328-336 - [c26]Xiaodi Yi, Kuihua Huang, Jincai Huang, Jing Qian, Jie Kang:
Research on Order Acceptance Strategy for Military manufactures Based on Semi-Markov Average Reward Reinforcement Learning. MSIE 2022: 152-161 - [i4]Guangyin Jin, Fuxian Li, Jinlei Zhang, Mudan Wang, Jincai Huang:
Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction. CoRR abs/2207.10830 (2022) - 2021
- [j17]Guangyin Jin, Hengyu Sha, Yanghe Feng, Qing Cheng, Jincai Huang:
GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. Neurocomputing 455: 353-367 (2021) - [c25]Guangyin Jin, Huan Yan, Fuxian Li, Yong Li, Jincai Huang:
Hierarchical Neural Architecture Search for Travel Time Estimation. SIGSPATIAL/GIS 2021: 91-94 - [c24]Hengyu Sha, Guangyin Jin, Guangquan Cheng, Jincai Huang, Kuihua Huang:
A Deep Urban Hotspots Prediction Framework with Modeling Geography-Semantic Dynamics. SpatialDI 2021: 3-14 - [i3]Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation. CoRR abs/2105.13591 (2021) - 2020
- [j16]Ning Li, Jincai Huang, Yanghe Feng, Kuihua Huang, Guangquan Cheng:
A Review of Naturalistic Decision-Making and Its Applications to the Future Military. IEEE Access 8: 38276-38284 (2020) - [j15]Jiarui Zhang, Honglan Huang, Zhixun Xia, Likun Ma, Yifan Duan, Yanghe Feng, Jincai Huang:
Artificial Neural Networks for Chemistry Representation in Numerical Simulation of the Flamelet-Based Models for Turbulent Combustion. IEEE Access 8: 80020-80029 (2020) - [j14]Guangyin Jin, Qi Wang, Cunchao Zhu, Yanghe Feng, Jincai Huang, Xingchen Hu:
Urban Fire Situation Forecasting: Deep sequence learning with spatio-temporal dynamics. Appl. Soft Comput. 97(Part B): 106730 (2020) - [j13]Li Chen, Honglan Huang, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu:
Active one-shot learning by a deep Q-network strategy. Neurocomputing 383: 324-335 (2020) - [j12]Changjun Fan, Li Zeng, Yanghe Feng, Baoxin Xiu, Jincai Huang, Zhong Liu:
Revisiting the power of reinsertion for optimal targets of network attack. J. Cloud Comput. 9: 24 (2020) - [j11]Qi Wang, Guangyin Jin, Xia Zhao, Yang-He Feng, Jincai Huang:
CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale. Knowl. Based Syst. 189 (2020) - [j10]Changjun Fan, Li Zeng, Yanghe Feng, Guangquan Cheng, Jincai Huang, Zhong Liu:
A novel learning-based approach for efficient dismantling of networks. Int. J. Mach. Learn. Cybern. 11(9): 2101-2111 (2020) - [j9]Yanghe Feng, Wei Shi, Guangquan Cheng, Jincai Huang, Zhong Liu:
Benchmarking framework for command and control mission planning under uncertain environment. Soft Comput. 24(4): 2463-2478 (2020) - [j8]Ning Li, Jincai Huang, Yanghe Feng:
Human performance modeling and its uncertainty factors affecting decision making: a survery. Soft Comput. 24(4): 2851-2871 (2020) - [c23]Min Wang, Qing Cheng, Jincai Huang, Guangquan Cheng:
Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient. ACAI 2020: 17:1-17:7 - [c22]Ning Li, Tuoyang Zhou, Jinshou Shi, Ziang Chen, Jincai Huang, Yanghe Feng:
Research on Eye Movement Parameters of Command and Control System Operator Based on Emma Model. AHFE (7) 2020: 156-162 - [c21]Ning Li, Yingwei Zhou, Bei Zhang, Qiuyu Liu, Jincai Huang, Yanghe Feng:
Research on the Parameters of Human - Machine Interaction of Command and Control System Operator Based on Fitts Law. AHFE (7) 2020: 397-402 - [c20]Guangyin Jin, Cunchao Zhu, Yanghe Feng, Jincai Huang, Guangquan Chen, Zhengguo Du:
SDPN: A Neural Network Approach for E-hailing Car Supply and Demand Prediction. BDET 2020: 63-66 - [c19]Ning Li, Jincai Huang, Guangquan Cheng, Zhenguo Du:
Research on the Influence of Information Alignment on the Performance of Human-Computer Interaction. BDET 2020: 112-118 - [i2]Guangyin Jin, Zhexu Xi, Hengyu Sha, Yanghe Feng, Jincai Huang:
Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction. CoRR abs/2007.15189 (2020)
2010 – 2019
- 2019
- [j7]Tingting Yang, Yang-He Feng, Guangquan Cheng, Jincai Huang, Zhong Liu:
Critical Events Based Resource Layer Structure Dynamic Adaptive Optimization Method. IEEE Access 7: 36710-36721 (2019) - [j6]Honglan Huang, Yanghe Feng, Jincai Huang, Jiarui Zhang, Li Chen:
A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition. IEEE Access 7: 147204-147214 (2019) - [c18]Guangyin Jin, Qi Wang, Xia Zhao, Yanghe Feng, Qing Cheng, Jincai Huang:
Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. IEEE BigData 2019: 1460-1469 - [c17]Xingchen Hu, Huangke Chen, Chao Chen, Boliang Sun, Jincai Huang, Kuihua Huang:
Allocation of Information Granularity: A Multi-Objective Evolutionary Optimization Using Conflict Information. FUZZ-IEEE 2019: 1-6 - [c16]Yan Li, Yuhan Wang, Chao Chen, Jincai Huang:
CTR Prediction with User Behavior: An Augmented Method of Deep Factorization Machines. ISKE 2019: 822-826 - 2018
- [c15]Guangyin Jin, Jincai Huang, Yang-He Feng, Guangquan Cheng, Zhong Liu, Qi Wang:
Addressing the Task of Rocket Recycling with Deep Reinforcement Learning. ICIT 2018: 284-290 - [i1]Xingxing Liang, Qi Wang, Yang-He Feng, Zhong Liu, Jincai Huang:
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control. CoRR abs/1812.09968 (2018) - 2017
- [j5]Qi Wang, ZhiHao Luo, JinCai Huang, Yang-He Feng, Zhong Liu:
A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM. Comput. Intell. Neurosci. 2017: 1827016:1-1827016:11 (2017) - [c14]Guangquan Cheng, Yang Ma, Jincai Huang, Kuihua Huang:
An F Test Based Method of Estimating the Number of Groups in an Organization. ICTAI 2017: 591-595 - [c13]Yang Ma, Xingxing Liang, Jincai Huang, Guangquan Cheng:
Intercity Transportation Construction Based on Link Prediction. ICTAI 2017: 1135-1138 - [c12]Jinming Wu, Zhong Liu, Guangquan Cheng, Qi Wang, Jincai Huang:
Online Shopping Recommendation with Bayesian Probabilistic Matrix Factorization. IFIP TC12 ICIS 2017: 445-451 - 2016
- [j4]Qing Cheng, Zhong Liu, Jincai Huang, Guangquan Cheng:
Community detection in hypernetwork via Density-Ordered Tree partition. Appl. Math. Comput. 276: 384-393 (2016) - 2015
- [j3]Qing Cheng, Xin Lu, Zhong Liu, Jincai Huang:
Mining research trends with anomaly detection models: the case of social computing research. Scientometrics 103(2): 453-469 (2015) - [c11]Guangquan Cheng, Yongzhong Lu, Shuai Li, Jincai Huang:
A new cascading failures model based on the evolution of node status. ICNC 2015: 520-524 - 2014
- [j2]Guoli Yang, Weiming Zhang, Baoxin Xiu, Zhong Liu, Jincai Huang:
Key potential-oriented criticality analysis for complex military organization based on FINC-E model. Comput. Math. Organ. Theory 20(3): 278-301 (2014) - 2012
- [c10]Jincai Huang, Qing Cheng, Guangquan Cheng, Zhong Liu, Guoli Yang:
The analysis interface of dynamic network analysis for networked military organizations. ICMLC 2012: 549-554 - [c9]Qing Cheng, Zhong Liu, Jincai Huang, Cheng Zhu, Yanjun Liu:
Hierarchical Clustering Based on Hyper-edge Similarity for Community Detection. Web Intelligence 2012: 238-242 - 2011
- [c8]Luohao Tang, Weiming Zhang, Cheng Zhu, Jincai Huang:
Multi-platform coordinated mission planning under uncertainties. HIS 2011: 277-282 - 2010
- [c7]Guangquan Cheng, Jincai Huang, Cheng Zhu, Zhong Liu, Lizhi Cheng:
Perceptual image quality assessment using a geometric structural distortion model. ICIP 2010: 325-328 - [c6]Shan Yang, Zhong Liu, Liang Mu, Bao-Xin Xiu, Jin-Cai Huang:
The analyse of critical node and link in robust C2 information exchange structure for mission. ICMLC 2010: 72-78
2000 – 2009
- 2009
- [j1]Jianwen Hu, Xiaofeng Hu, Weiming Zhang, Shuguang Zhu, Zhong Liu, Jincai Huang:
Monotonic Indices Space Method and Its Application in the Capability Indices Effectiveness Analysis of a Notional Antistealth Information System. IEEE Trans. Syst. Man Cybern. Part A 39(2): 404-413 (2009) - 2006
- [c5]Xiaohong Peng, Zhong Liu, Jincai Huang, Dongsheng Yang:
Research on Structure Designing of Agent Organization Based on Hybrid Genetic Algorithm. CIMCA/IAWTIC 2006: 53 - [c4]Ying Sai, Peiyao Nie, Ruzhi Xu, Jincai Huang:
A rough set approach to mining concise rules from inconsistent data. GrC 2006: 333-336 - [c3]Zhong Liu, Meng Qian, Weiming Zhang, Jincai Huang:
Flexible Plan Representation for Agile Organization. ICEBE 2006: 179-186 - 2005
- [c2]Bao-Xin Xiu, Weiming Zhang, Zhong Liu, Jincai Huang:
Complementary image compression based on the theory of fuzzy information granulation. SMC 2005: 3024-3029 - 2004
- [c1]Cheng Zhu, Zhong Liu, Weiming Zhang, Weidong Xiao, Jincai Huang:
An Efficient Decentralized Grid Service Discovery Approach based on Service Ontology. Web Intelligence 2004: 570-573
Coauthor Index
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last updated on 2024-12-23 19:34 CET by the dblp team
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