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Jin Wang 0006

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affiliation: Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
affiliation (PhD 2008): Inha University, Information & Communication Engineering, Korea

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2020 – today

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2025
[j10]
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Bin Liu, Ao Zhou, Bingkun Wei, Jin Wang, Grigorios Tsoumakas:
Oversampling multi-label data based on natural neighbor and label correlation. Expert Syst. Appl. 259: 125257 (2025)
2024
[j9]
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Junzhuo Liu, Qiaosong Chen, Ye Zhang, Zhixiang Wang, Xin Deng, Jin Wang:
Multi-level feature fusion network combining attention mechanisms for polyp segmentation. Inf. Fusion 104: 102195 (2024)
[c18]
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Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou:
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction. ECML/PKDD (6) 2024: 354-370
2023
[j8]
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Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas:
Fine-grained selective similarity integration for drug-target interaction prediction. Briefings Bioinform. 24(2) (2023)
[c17]
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Qiaosong Chen, Ye Zhang, Junzhuo Liu, Zhixiang Wang, Xin Deng, Jin Wang:
Multi-modal Fine-grained Retrieval with Local and Global Cross-Attention. ICUFN 2023: 1-7
[c16]
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Haoru Chen, Tianjiao Wan, Zhimin Lin, Kele Xu, Jin Wang, Huaimin Wang:
VTQAGen: BART-based Generative Model For Visual Text Question Answering. ACM Multimedia 2023: 9456-9461
[i2]
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  - journals/corr/abs-2309-10219
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Junzhuo Liu, Qiaosong Chen, Ye Zhang, Zhixiang Wang, Deng Xin, Jin Wang:
Multi-level feature fusion network combining attention mechanisms for polyp segmentation. CoRR abs/2309.10219 (2023)
2022
[i1]
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  - journals/corr/abs-2212-00543
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Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas:
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction. CoRR abs/2212.00543 (2022)
2021
[j7]
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Kaiwei Sun, Mingxin Deng, Hang Li, Jin Wang, Xin Deng:
Learning local instance correlations for multi-target regression. Appl. Intell. 51(8): 6124-6135 (2021)

2010 – 2019

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2019
[j6]
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Jin Wang, Zhiliang Chen, Kai-wei Sun, Hang Li, Xin Deng:
Multi-target regression via target specific features. Knowl. Based Syst. 170: 70-78 (2019)
[c15]
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Kai-wei Sun, Zijian Min, Jin Wang:
PP-PLL: Probability Propagation for Partial Label Learning. ECML/PKDD (2) 2019: 123-137
[c14]
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Qiaosong Chen, Jinxin Li, Bolin Duan, Liu Pu, Xin Deng, Jin Wang:
Residual Dense Information Distillation Network for Single Image Super-Resolution. SMC 2019: 500-505
[c13]
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Qiaosong Chen, Zhixiang Wang, Baijun Long, Xiaoxu Sui, Meng Zhang, Xin Deng, Jin Wang:
Three Branch net Lane Detection on Complex Road Conditions. SMC 2019: 3480-3485
2018
[c12]
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  - conf/smc/ChenSDGT018
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Qiaosong Chen, Fahai Shen, Yuanyuan Ding, Panhao Gong, Ya Tao, Jin Wang:
Face Detection Using R-FCN Based Deformable Convolutional Networks. SMC 2018: 4165-4170
2017
[j5]
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  - journals/tie/ZhangFLW17
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Xuebo Zhang, Yongchun Fang, Baoquan Li, Jin Wang:
Visual Servoing of Nonholonomic Mobile Robots With Uncalibrated Camera-to-Robot Parameters. IEEE Trans. Ind. Electron. 64(1): 390-400 (2017)
[c11]
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  - conf/icig/ChenFXLZWD17
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Qiaosong Chen, Shangsheng Feng, Pei Xu, Lexin Li, Ling Zheng, Jin Wang, Xin Deng:
Scalable Object Detection Using Deep but Lightweight CNN with Features Fusion. ICIG (1) 2017: 374-385
[c10]
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  - conf/smc/ChenMLFDW17
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Qiaosong Chen, Xiaomin Meng, Wen Li, Xingyu Fu, Xin Deng, Jin Wang:
A multi-scale fusion convolutional neural network for face detection. SMC 2017: 1013-1018
2016
[j4]
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  - journals/ijait/XiaWYLW16
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Shuyin Xia, Guoyin Wang, Hong Yu, Qun Liu, Jin Wang:
Vibration-Based Outlier Detection on High Dimensional Data. Int. J. Artif. Intell. Tools 25(3): 1650013:1-1650013:15 (2016)
[j3]
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Xin Deng, Jian-Xin Xu, Jin Wang, Guoyin Wang, Qiaosong Chen:
Biological modeling the undulatory locomotion of C. elegans using dynamic neural network approach. Neurocomputing 186: 207-217 (2016)
[j2]
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Kai-wei Sun, Chong Ho Lee, Jin Wang:
Multilabel Classification via Co-Evolutionary Multilabel Hypernetwork. IEEE Trans. Knowl. Data Eng. 28(9): 2438-2451 (2016)
[c9]
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Qiaosong Chen, Xiao Liu, Huiqiong Ran, Shizhou Dong, Dongcan Cui, Xin Deng, Jin Wang:
A fast multi-scale decomposition based tone mapping algorithm for High Dynamic Range images. SMC 2016: 1455-1460
2015
[j1]
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Qinghua Zhang, Jin Wang, Guoyin Wang, Hong Yu:
The approximation set of a vague set in rough approximation space. Inf. Sci. 300: 1-19 (2015)
[c8]
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  - conf/ei-mobmu/ChenYZCDW15
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Qiaosong Chen, Yaxing Yan, Xiaomou Zhang, Hua Cai, Xin Deng, Jin Wang:
An efficient contents-adaptive backlight control method for mobile devices. MOBMU 2015: 94110U
[c7]
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  - conf/iecon/0003J0LC15
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Xin Deng, Dingli Jiang, Jin Wang, Mingxu Li, Qiaosong Chen:
Study on the 3D printed robotic fish with autonomous obstacle avoidance behavior based on the adaptive neuro-fuzzy control. IECON 2015: 7-12
2014
[c6]
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  - conf/smc/ChenLDLWD14
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Qiaosong Chen, Hai Li, Yuanyuan Ding, Chang Liu, Jin Wang, Xin Deng:
Affine invariant features-based tone mapping algorithm for high dynamic range images. SMC 2014: 2373-2378
[c5]
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Qiaosong Chen, Yuanyuan Ding, Hai Li, Xi Wang, Jin Wang, Xin Deng:
A novel multi-feature fusion and sparse coding-based framework for image retrieval. SMC 2014: 2391-2396
2013
[c4]
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  - conf/rskt/LiWW13
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Meizheng Li, Guoyin Wang, Jin Wang:
A Formal Concept Analysis Based Approach to Minimal Value Reduction. RSKT 2013: 109-120
[c3]
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  - conf/rskt/WangYHL13
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Jin Wang, Bo Yun, Pingli Huang, Yu-Ao Liu:
Applying Threshold SMOTE Algoritwith Attribute Bagging to Imbalanced Datasets. RSKT 2013: 221-228
[c2]
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  - conf/smc/WangCZLHS13
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Jin Wang, Gang Chen, Jun Zhang, Yu-Ao Liu, Mingxing Hu, Mingwei Shao:
Order Optimization of Evolutionary Hypernetworks Using Genetic Algorithm. SMC 2013: 433-437
[c1]
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Jin Wang, Pingli Huang, Kai-wei Sun, Bao-lin Cao, Rui Zhao:
Ensemble of Cost-Sensitive Hypernetworks for Class-Imbalance Learning. SMC 2013: 1883-1888

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