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Jing Xiao 0005

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affiliation: South China Normal University, School of Computer Science, Guangzhou, China
affiliation (former): Sun Yat-Sen University, Department of Computer Science, Guangzhou, China
affiliation (PhD 2005): National University of Singapore, Singapore

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2020 – today

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2024
[j28]
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Ruzhong Xie, Ke Ruan, Bosong Huang, Weihao Yu, Jing Xiao, Jin Huang:
TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation. Appl. Intell. 54(21): 10320-10332 (2024)
[j27]
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Bosong Huang, Weihao Yu, Ruzhong Xie, Junming Luo, Jing Xiao, Jin Huang:
Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering. Knowl. Based Syst. 291: 111590 (2024)
[c28]
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Qiangqiang Xiang, Jing Xiao, Weihao Yu, Tinghua Zhang, Jin Huang, Zhixiong Mo:
NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields. IJCNN 2024: 1-7
2023
[j26]
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Daijun He, Jing Xiao:
Goal selection and feedback for solving math word problems. Appl. Intell. 53(12): 14744-14758 (2023)
[j25]
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Bosong Huang, Ke Ruan, Weihao Yu, Jing Xiao, Ruzhong Xie, Jin Huang:
ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario. Expert Syst. Appl. 222: 119835 (2023)
[j24]
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Jin Huang, Tian Lu, Xuebin Zhou, Bo Cheng, Zhibin Hu, Weihao Yu, Jing Xiao:
HyperDNE: Enhanced hypergraph neural network for dynamic network embedding. Neurocomputing 527: 155-166 (2023)
[j23]
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Jing Xiao, Linjia Huang, Yu Song, Na Tang:
A Recursive tree-structured neural network with goal forgetting and information aggregation for solving math word problems. Inf. Process. Manag. 60(3): 103324 (2023)
[c27]
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Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems. ECML/PKDD (3) 2023: 325-340
[i3]
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  - journals/corr/abs-2302-04545
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Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering. CoRR abs/2302.04545 (2023)
[i2]
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  - journals/corr/abs-2304-08841
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Bosong Huang, Weihao Yu, Ruzhong Xie, Jing Xiao, Jin Huang:
Two-stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems. CoRR abs/2304.08841 (2023)
2022
[j22]
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Jing Xiao, Huan Yang, Kun Xie, Jia Zhu, Ji Zhang:
Learning discriminative representation with global and fine-grained features for cross-view gait recognition. CAAI Trans. Intell. Technol. 7(2): 187-199 (2022)
[j21]
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Jing Xiao, Haichao Li, Guangzhuo Qu, Hamido Fujita, Yang Cao, Jia Zhu, Changqin Huang:
Hope: heatmap and offset for pose estimation. J. Ambient Intell. Humaniz. Comput. 13(6): 2937-2949 (2022)
[j20]
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Xiaotao Cui, Jing Xiao, Yang Cao, Jia Zhu:
Multi-grained encoding and joint embedding space fusion for video and text cross-modal retrieval. Multim. Tools Appl. 81(24): 34367-34386 (2022)
[j19]
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Lei Chen, Jin Huang, Jingjing Li, Yang Cao, Jing Xiao:
Self-supervised graph representation learning using multi-scale subgraph views contrast. Neural Comput. Appl. 34(15): 12559-12569 (2022)
[c26]
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  - conf/acai2/ZhuRHXY22
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Wentai Zhu, Ke Ruan, Jin Huang, Jing Xiao, Weihao Yu:
Dynamic Graph Representation Based on Temporal and Contextual Contrasting. ACAI 2022: 111:1-111:8
[c25]
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Jingrui Chen, Yujie Li, Jing Xiao, Ruiquan Ge, Wenjun Ma, Xiaomao Fan:
MSF-SleepNet: Multi-Stream Fusion Network with Contrastive Learning for Sleep Stage Classification. BIBM 2022: 1493-1496
[c24]
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Xiangze Jia, Ji Zhang, Zhen Wang, Yonglong Luo, Fulong Chen, Jing Xiao:
JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning. PRICAI (3) 2022: 478-489
[i1]
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  - journals/corr/abs-2208-08218
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Jin Huang, Bosong Huang, Weihao Yu, Jing Xiao, Ruzhong Xie, Ke Ruan:
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario. CoRR abs/2208.08218 (2022)
2021
[j18]
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Guoyi Yu, You Wu, Jing Xiao, Yang Cao:
A Novel Pyramid Network with Feature Fusion and Disentanglement for Object Detection. Comput. Intell. Neurosci. 2021: 6685954:1-6685954:13 (2021)
[j17]
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Shuqi Li, Feiqi Deng, Mali Xing, Jing Xiao:
${\mathscr {H}}_\infty$ Filtering of Stochastic Fuzzy Systems Based on Hybrid Modeling Technique with Aperiodic Sampled-Data. Int. J. Fuzzy Syst. 23(7): 2106-2117 (2021)
[j16]
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Weiming He, You Wu, Jing Xiao, Yang Cao:
MGFPN: Enhancing multi-scale feature for object detection. J. Intell. Fuzzy Syst. 40(6): 11171-11181 (2021)
[j15]
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Kun Xie, You Wu, Jing Xiao, Jingjing Li, Guohui Xiao, Yang Cao:
Unsupervised person re-identification via K-reciprocal encoding and style transfer. Int. J. Mach. Learn. Cybern. 12(10): 2899-2916 (2021)
[c23]
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  - conf/pakdd/WangZCLLXK21
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Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran:
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. PAKDD (1) 2021: 53-65
2020
[j14]
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Jing-Jing Li, Zhipeng Luo, Jing Xiao:
A Hybrid Genetic Algorithm With Bidirectional Mutation for Maximizing Lifetime of Heterogeneous Wireless Sensor Networks. IEEE Access 8: 72261-72274 (2020)

2010 – 2019

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2019
[j13]
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Asad Khan, Muhammad Ahmad, Nuzhat Naqvi, Faisal Yousafzai, Jing Xiao:
Photographic painting style transfer using convolutional neural networks. Multim. Tools Appl. 78(14): 19565-19586 (2019)
[c22]
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  - conf/icmcs/XieXCZK19
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Pengyuan Xie, Jing Xiao, Yang Cao, Jia Zhu, Asad Khan:
RefineText: Refining Multi-oriented Scene Text Detection with a Feature Refinement Module. ICME 2019: 1756-1761
[c21]
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Yangwo Jian, Jing Xiao, Yang Cao, Asad Khan, Jia Zhu:
Deep Pairwise Ranking with Multi-label Information for Cross-Modal Retrieval. ICME 2019: 1810-1815
2018
[j12]
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  - journals/complexity/XiaoLHHHTH18
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Jing Xiao, Jing-Jing Li, Xi-Xi Hong, Min-Mei Huang, Xiao-Min Hu, Yong Tang, Chang-Qin Huang:
An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization. Complex. 2018: 3051854:1-3051854:16 (2018)
[j11]
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Jia Zhu, Xingcheng Wu, Jing Xiao, Changqin Huang, Yong Tang, Ke Deng:
Improved expert selection model for forex trading. Frontiers Comput. Sci. 12(3): 518-527 (2018)
[c20]
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  - conf/icassp/Qu0ZCH18
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Guangzhuo Qu, Jing Xiao, Jia Zhu, Yang Cao, Changqin Huang:
Cross-Modal Learning to Rank with Adaptive Listwise Constraint. ICASSP 2018: 1658-1662
2017
[c19]
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  - conf/ijcai/ZhuLHYXT17
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Jia Zhu, Yuzhi Liang, Changqin Huang, Min Yang, Jing Xiao, Yong Tang:
A Novel Approach for Adverse Events Detection. KDH@IJCAI 2017: 41-45
2016
[j10]
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  - journals/cluster/ChenTXLHT16
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Jiemin Chen, Feiyi Tang, Jing Xiao, Jianguo Li, Jing He, Yong Tang:
CogTime_RMF: regularized matrix factorization with drifting cognition degree for collaborative filtering. Clust. Comput. 19(2): 821-835 (2016)
[j9]
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Jing Xiao, Zhou Wu, Xi-Xi Hong, Jianchao Tang, Yong Tang:
Integration of electromagnetism with multi-objective evolutionary algorithms for RCPSP. Eur. J. Oper. Res. 251(1): 22-35 (2016)
[c18]
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Jia Zhu, Jing Yang, Jing Xiao, Changqin Huang, Gansen Zhao, Yong Tang:
Online Prediction for Forex with an Optimized Experts Selection Model. APWeb (1) 2016: 371-382
[c17]
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  - conf/apweb/WuXZD16
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Bu-Xiao Wu, Jing Xiao, Jia Zhu, Chen Ding:
An Adaptive kNN Using Listwise Approach for Implicit Feedback. APWeb (1) 2016: 519-530
2015
[j8]
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  - journals/tcci/ZhaoCTWYXZ15
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Gansen Zhao, Kaijun Chen, Haoxiang Tan, Xinming Wang, Meiying You, Jing Xiao, Feng Zhang:
A Multilevel Security Model for Search Engine Over Integrated Data. Trans. Comput. Collect. Intell. 19: 45-68 (2015)
[c16]
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  - conf/gecco/XiaoGH15
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Jing Xiao, Mei-Ling Gao, Min-Mei Huang:
Empirical Study of Multi-objective Ant Colony Optimization to Software Project Scheduling Problems. GECCO 2015: 759-766
[c15]
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Bu-Xiao Wu, Jing Xiao, Jiemin Chen:
Friend Recommendation by User Similarity Graph Based on Interest in Social Tagging Systems. ICIC (3) 2015: 375-386
[c14]
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Jing Xiao, Ming Luo, Jiemin Chen, Jing-Jing Li:
An Item Based Collaborative Filtering System Combined with Genetic Algorithms Using Rating Behavior. ICIC (3) 2015: 453-460
2014
[j7]
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Jing Xiao, LiangPing Li, Xiaomin Hu:
Solving Lattice Protein Folding Problems by Discrete Particle Swarm Optimization. J. Comput. 9(8): 1904-1913 (2014)
[c13]
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Jing Xiao, Zhou Wu, Jianchao Tang:
Hybridization of electromagnetism with multi-objective evolutionary algorithms for RCPSP. GECCO 2014: 653-660
[c12]
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Jiemin Chen, Yong Tang, Jianguo Li, Jing Xiao, Wenli Jiang:
Regularized Matrix Factorization with Cognition Degree for Collaborative Filtering. HCC 2014: 300-310
2013
[j6]
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Jing Xiao, Xian-Ting Ao, Yong Tang:
Solving software project scheduling problems with ant colony optimization. Comput. Oper. Res. 40(1): 33-46 (2013)
[c11]
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Jiemin Chen, Yong Tang, Jianguo Li, Chengjie Mao, Jing Xiao:
Community-Based Scholar Recommendation Modeling in Academic Social Network Sites. WISE Workshops 2013: 325-334
2012
[c10]
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  - conf/taai/ZhanZDX12
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Zhi-Hui Zhan, Jun Zhang, Ke-Jing Du, Jing Xiao:
Extended Binary Particle Swarm Optimization Approach for Disjoint Set Covers Problem in Wireless Sensor Networks. TAAI 2012: 327-331
2011
[j5]
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Jing Xiao, LiangPing Li:
A hybrid ant colony optimization for continuous domains. Expert Syst. Appl. 38(9): 11072-11077 (2011)
2010
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Jing Xiao, YuPing Yan, Jun Zhang, Yong Tang:
A quantum-inspired genetic algorithm for k-means clustering. Expert Syst. Appl. 37(7): 4966-4973 (2010)

2000 – 2009

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2009
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Jing Xiao, YuPing Yan, Jun Zhang:
HPBILc: A histogram-based EDA for continuous optimization. Appl. Math. Comput. 215(3): 973-982 (2009)
[j2]
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Xiaomin Hu, Jun Zhang, Henry Shu-Hung Chung, Ou Liu, Jing Xiao:
An Intelligent Testing System Embedded With an Ant-Colony-Optimization-Based Test Composition Method. IEEE Trans. Syst. Man Cybern. Part C 39(6): 659-669 (2009)
[c9]
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Weili Liu, Jinghui Zhong, Wei-Gang Wu, Jing Xiao, Jun Zhang:
A Novel Fuzzy Histogram Based Estimation of Distribution Algorithm for Global Numerical Optimization. SoCPaR 2009: 94-99
[c8]
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Zi-jun Yu, Wei-Gang Wu, Jing Xiao, Jun Zhang, Rui-zhang Huang, Ou Liu:
Keyword Combination Extraction in Text Categorization Based on Ant Colony Optimization. SoCPaR 2009: 430-435
2008
[j1]
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Ying Lin, Jun Zhang, Jing Xiao:
A pseudo parallel ant algorithm with an adaptive migration controller. Appl. Math. Comput. 205(2): 677-687 (2008)
[c7]
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Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zhang:
A Quantum-inspired Genetic Algorithm for data clustering. IEEE Congress on Evolutionary Computation 2008: 1513-1519
2007
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  - https://dblp.org/rec/conf/cec/ZhanXZC07
Zhi-hui Zhan, Jing Xiao, Jun Zhang, Wei-neng Chen:
Adaptive control of acceleration coefficients for particle swarm optimization based on clustering analysis. IEEE Congress on Evolutionary Computation 2007: 3276-3282
[c5]
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Jing Xiao, GuanNeng Huang, Yong Tang:
An Open Source Web Browser for Visually Impaired. ICIC (1) 2007: 90-101
[c4]
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  - conf/icnc/LinCXZ07
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Ying Lin, Huachun Cai, Jing Xiao, Jun Zhang:
Pseudo Parallel Ant Colony Optimization for Continuous Functions. ICNC (4) 2007: 494-500
[c3]
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Yuan Zhang, Huachun Cai, Ying Lin, Jing Xiao, Jun Zhang:
An Ant Colony System Algorithm for the Multicast Routing Problem. ICNC (4) 2007: 756-760
[c2]
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  - conf/isica/Xiao07
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Jing Xiao:
Fuzzy Pattern Rule Induction for Information Extraction. ISICA 2007: 641-651
2006
[c1]
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  - conf/icic/Xiao06
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Jing Xiao:
A Two-View CoTraining Rule Induction System for Information Extraction. ICIC (2) 2006: 1183-1190

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