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2020 – today
- 2024
[j9]Pengzhi Li, Yan Pei
, Jianqiang Li, Haihua Xie:
Medical Image Recognition Using a Novel Neural Network Construction Controlled by a Kernel Method Encoder. IEEE Access 12: 146807-146817 (2024)- 2023
- [j8]Haihua Xie, Han Ren, Yangyang Zhang, Rujiang Guo, Huijie Liu:
Time Frequency Direction Modulation Based on Nonlinear Frequency Diverse Array. IEEE Access 11: 32564-32578 (2023) - [j7]Haihua Xie, Yi Yuan, Sanyou Zeng:
Radar Complex Intermediate Frequency Signal Denosing Based on Convolutional Auto-Encoder Network. IEEE Access 11: 93090-93097 (2023) - [c19]Lin Liu, Haihua Xie, Jingwei Yang, Yanni Li:
Building Smart Systems to Satisfice User Intention in Situ: A Look Back to the Future. SSE 2023: 262-271 - [c18]Han Ren, Haihua Xie, Rujiang Guo, Huijie Liu:
Passive Localization Technology for Frequency Diverse Array Transmitted Signal. ICCMS 2023: 225-229 - 2022
- [c17]Haihua Xie, Xiaoqing Lyu, Xuefei Chen:
String Editing Based Chinese Grammatical Error Diagnosis. COLING 2022: 5335-5344 - 2021
- [j6]Pengzhi Li, Jianqiang Li, Yueda Chen, Yan Pei, Guanghui Fu, Haihua Xie:
Classification and recognition of computed tomography images using image reconstruction and information fusion methods. J. Supercomput. 77(3): 2645-2666 (2021) - 2020
- [j5]Hui Sun, Zhicheng Deng, Jia Zhao, Haihua Xie:
Particle swarm optimisation by adding Gaussian disturbance item guided by hybrid narrow centre. Int. J. Comput. Sci. Math. 11(4): 327-337 (2020) - [j4]Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma:
Learning Local and Global Priors for JPEG Image Artifacts Removal. IEEE Signal Process. Lett. 27: 2134-2138 (2020) - [j3]Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma:
Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal. IEEE Trans. Image Process. 29: 8842-8854 (2020) - [c16]Shaoling Jing, Shibo Hong, Dongyan Zhao, Haihua Xie, Zhi Tang:
Combining Impression Feature Representation for Multi-turn Conversational Question Answering. CNCL 2020: 57-69 - [c15]Nuo Xu, Haihua Xie, Dongyan Zhao:
A Novel Joint Framework for Multiple Chinese Events Extraction. CNCL 2020: 174-183 - [c14]Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, Zhi Tang:
SemBRS: A Semantic Analysis Based Book Retrieval Approach. MIPR 2020: 101-104 - [i1]Jianwei Li, Yongtao Wang, Haihua Xie, Kai-Kuang Ma:
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal. CoRR abs/2009.06912 (2020)
2010 – 2019
- 2019
- [c13]Haihua Xie, Xiaoqing Lu, Xuefei Chen, Jinle Tong, Zhi Tang:
ES-ESens: Detection of Event Sentences Based on Evaluation of the Explicitness and Significance of Information. MIPR 2019: 32-35 - [c12]Haihua Xie, Aolin Li, Yabo Li, Jing Cheng, Zhiyou Chen, Xiaoqing Lyu, Zhi Tang:
Automatic Chinese Spelling Checking and Correction Based on Character-Based Pre-trained Contextual Representations. NLPCC (2) 2019: 540-549 - 2018
- [j2]Hui Sun, Kun Wang, Haihua Xie:
Multi-strategy artificial bee colony based on multiple population for coverage optimisation. Int. J. Wirel. Mob. Comput. 14(1): 47-55 (2018) - [c11]Yitao Liu, Xiaoqing Lyu, Haihua Xie, Xiaotong Yan, Bei Wang, Zhi Tang:
A method for improving the reliability of causal inference from large-scale data in biomedicine. BIBM 2018: 693-696 - [c10]Haihua Xie, Xiaoqing Lu, Zhi Tang:
Clustering Analysis-Based Approach to Detecting Entity Mixture in Knowledge Bases. JCDL 2018: 395-396 - 2017
- [j1]Haihua Xie, Jingwei Yang, Carl K. Chang, Lin Liu:
A statistical analysis approach to predict user's changing requirements for software service evolution. J. Syst. Softw. 132: 147-164 (2017) - [c9]Haihua Xie, Xiaoqing Lu, Zhi Tang, Xiaojun Huang:
Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation. ICIBE 2017: 93-101 - 2016
- [c8]Haihua Xie, Xiaoqing Lu, Zhi Tang, Mao Ye:
A Methodology to Evaluate Triple Confidence and Detect Incorrect Triples in Knowledge Bases. JCDL 2016: 251-252 - [c7]Haihua Xie, Xiaoqing Lu, Zhi Tang, Xiaojun Huang:
Detection of Entity Mixture in Knowledge Bases Using Hierarchical Clustering. NLPCC/ICCPOL 2016: 288-299 - 2015
- [c6]Haihua Xie, Carl K. Chang:
Detection of New Intentions from Users Using the CRF Method for Software Service Evolution in Context-Aware Environments. COMPSAC 2015: 71-76 - 2012
- [c5]Haihua Xie, Carl K. Chang, Ming Hua, Kai-Shin Lu:
The Concepts and Ontology of SiSL: A Situation-Centric Specification Language. COMPSAC Workshops 2012: 385-391 - [e2]Xiaoying Bai, Fevzi Belli, Elisa Bertino, Carl K. Chang, Atilla Elçi, Cristina Cerschi Seceleanu, Haihua Xie, Mohammad Zulkernine:
36th Annual IEEE Computer Software and Applications Conference, COMPSAC 2012, Izmir, Turkey, July 16-20, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-1990-4 [contents] - [e1]Xiaoying Bai, Fevzi Belli, Elisa Bertino, Carl K. Chang, Atilla Elçi, Cristina Cerschi Seceleanu, Haihua Xie, Mohammad Zulkernine:
36th Annual IEEE Computer Software and Applications Conference Workshops, COMPSAC 2012, Izmir, Turkey, July 16-20, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2714-5 [contents] - 2011
- [c4]Haihua Xie:
Observable Context-Based User Intention Specification in Context-Aware Environments. COMPSAC 2011: 712-715 - [c3]Tianying Li, Tong Li, Haihua Xie, Lin Liu:
I*-Prefer: A Tool for Preference Model-Driven Decision Making. iStar 2011: 151-153
2000 – 2009
- 2009
- [c2]Wenting Ma, Lin Liu, Haihua Xie, Hongyu Zhang, Jinglei Yin:
Preference Model Driven Services Selection. CAiSE 2009: 216-230 - [c1]Haihua Xie, Lin Liu, Jingwei Yang:
i*-prefer: optimizing requirements elicitation process based on actor preferences. SAC 2009: 347-354
Coauthor Index
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