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2020 – today
- 2024
[j7]Quansheng Dou, Hao Pan, Huanling Tang, Ping Jiang, Huixian Wang:
Program synthesis algorithm based on context consistency heuristic. Int. J. Mach. Learn. Cybern. 15(2): 559-571 (2024)- [j6]Huanling Tang, Ruiquan Li, Wenhao Duan, Quansheng Dou, Mingyu Lu:
A novel abstractive summarization model based on topic-aware and contrastive learning. Int. J. Mach. Learn. Cybern. 15(12): 5563-5577 (2024) - 2023
- [j5]Xiaoyan Liu
, Huanling Tang, Jie Zhao, Quansheng Dou, Mingyu Lu:
TCAMixer: A lightweight Mixer based on a novel triple concepts attention mechanism for NLP. Eng. Appl. Artif. Intell. 123(Part C): 106471 (2023) - [j4]Huanling Tang, Xiaoyan Liu, Yulin Wang, Quansheng Dou, Mingyu Lu:
Pay attention to the hidden semanteme. Inf. Sci. 640: 119076 (2023) - [c26]Huixian Wang, Quansheng Dou, Huanling Tang, Shun Zhang, Hao Pan:
A SQL Synthesis System with Operator Handler. CSAI 2023: 132-136 - [c25]Quansheng Dou, Jing Liu, Bingchun Li, Chen Shuzhen, Jiang Ping:
Nested Named Entity Recognition Based on Multi-word Fusion and Boundary Detection. CyberC 2023: 92-95 - [c24]Huimin Liu, Quansheng Dou, Huixian Wang:
AL-SQUARES: SQL Synthesis System with the Addition of Reducer. DMBD (2) 2023: 33-44 - [c23]Quansheng Dou, Huixian Wang, Huanling Tang, Hao Pan, Shun Zhang:
Query Reverse Engineering of Pre-deleted Uncorrelated Operators. DMBD (2) 2023: 45-58 - [c22]Shun Zhang, Quansheng Dou:
DeepQRE: A QRE System Based on Deep Learning. ICMRE 2023: 240-244 - [c21]Shun Zhang, Quansheng Dou, Huanling Tang, Hao Pan, Huixian Wang:
SQL Synthesis with Input-Output Example Based on Deep Learning. IJCNN 2023: 1-8 - 2022
- [c20]Huan Liu, Quansheng Dou:
Neighborhood Network for Aspect-Based Sentiment Analysis. Intelligent Information Processing 2022: 216-227 - [c19]Ping Zhao, Quansheng Dou, Ping Jiang:
Attention Adaptive Chinese Named Entity Recognition Based on Vocabulary Enhancement. Intelligent Information Processing 2022: 399-406 - 2020
- [c18]Tengfei Ma, Quansheng Dou, Ping Jiang, Huan Liu:
Named entity recognition based on semi-supervised ensemble learning with the improved tri-training algorithm. ICIT 2020: 13-18
2010 – 2019
- 2019
- [c17]Quansheng Dou, Panpan Cui:
Slot Filling Using En-Training. CyberC 2019: 271-276 - [c16]Wenjun Wan, Quansheng Dou, Xiaoling Zhou, Ping Jiang, Bin Zhang:
Natural Language-to-SQL Based on Relationship Extraction. ISKE 2019: 1219-1225 - 2017
- [j3]Ping Jiang, Quansheng Dou:
Fundus vessel segmentation based on self-adaptive classification strategy. J. Intell. Fuzzy Syst. 33(1): 181-191 (2017) - 2016
- [c15]Quansheng Dou, Jinjiang Li, Hui Fan, Yuehao Pan:
Noisy Problem on Discrete Linear Consensus Protocol in Networked Multi-agent Systems. DASC/PiCom/DataCom/CyberSciTech 2016: 190-195 - [c14]Quansheng Dou, Zhongzhi Shi, Yuehao Pan:
Noisy Control About Discrete Liner Consensus Protocol. Intelligent Information Processing 2016: 235-244 - 2015
- [j2]Ping Jiang, Quansheng Dou, Xiaoying Hu:
A supervised method for retinal image vessel segmentation by embedded learning and classification. J. Intell. Fuzzy Syst. 29(5): 2305-2315 (2015) - 2014
- [c13]Ping Jiang, Quansheng Dou:
Automated Localization and Accurate Segmentation of Optic Disc Based on Intensity within a Minimum Enclosing Circle. Intelligent Information Processing 2014: 216-220 - 2012
- [c12]Guanyu Pan, Quansheng Dou:
Load forecasting model based on multi-agents cooperation. ICNC 2012: 1197-1202 - 2010
- [j1]Haiyan Zhu, Quansheng Dou, Ping Jiang:
Further Results on Fault Classes in Boolean Specifications. Int. J. Adv. Comp. Techn. 2(5): 75-79 (2010) - [c11]Liquan Han, Quansheng Dou:
Visual model of heterogeneous data sources based on service-ontology. FSKD 2010: 2945-2949 - [c10]Zhongyu Xu, Fen Hu, Hongcheng Guo, Quansheng Dou:
Support vector machine image segmentation algorithm applied to angiogenesis quantification. ICNC 2010: 928-931 - [c9]Guanyu Pan, Hui Yan, Quansheng Dou, Haijun Li:
Outlier data forecasting of power load based on neural PSO. ICNC 2010: 1140-1142 - [c8]Wenjia Niu, Quansheng Dou, Xu Han, Xinghua Yang, Zhongzhi Shi:
Multi-agent and Workflow-Based Web Service Management Model. Intelligent Information Processing 2010: 26-34 - [c7]Quansheng Dou, Kailei Fu, Haiyan Zhu, Ping Jiang, Zhongzhi Shi:
Associated Clustering and Classification Method for Electric Power Load Forecasting. Intelligent Information Processing 2010: 112-121 - [c6]Quansheng Dou, Shasha Liu, Ping Jiang, Xiuhua Zhou, Zhongzhi Shi:
Two Improvement Strategies for PSO. Intelligent Information Processing 2010: 122-129
2000 – 2009
- 2009
- [c5]Quansheng Dou, Zhongzhi Shi, Bin Yang, Zhongyao Liu:
Power Load Forecasting Model Based on Knowledge Discovery for Heilongjiang Province. ISCID (2) 2009: 42-45 - 2008
- [c4]Quansheng Dou, Ping Jiang, Zhijun Yu, Zhongzhi Shi:
Convergence Property Analysis for PSO Based on Cluster-Degree. CIS (2) 2008: 48-51 - [c3]Quansheng Dou, Zhijun Yu, Zhongzhi Shi, Erkeng Yu, Yongzhi Zheng:
Cluster-Degree Analysis and Velocity Compensation Strategy of PSO. ISICA 2008: 98-106 - 2006
- [c2]Guanyu Pan, Quansheng Dou, Xiaohua Liu:
Performance of two Improved Particle Swarm Optimization In Dynamic Optimization Environments. ISDA (2) 2006: 1024-1028 - 2005
- [c1]Quansheng Dou, Chunguang Zhou, Guanyu Pan, Hongwen Luo, Quan Liu:
Neural Particle Swarm Optimization for Casing Damage Prediction. ISNN (3) 2005: 903-907
Coauthor Index
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