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90 results on '"Fan, Chunlong"'

1. A Semantic Fusion-Based Model for Infrared Small Target Detection

Author

Fan, Chunlong, Zhang, Yuxue, Jin, Qilong, Xu, Li, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Si, Zhanjun, editor, and Chen, Wei, editor

Published
2024
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2. Anomaly Detection of Fixed-Wing Unmanned Aerial Vehicle (UAV) Based on Cross-Feature-Attention LSTM Network

Author

Xu, Li, Yang, Yingduo, Wen, Xiaoling, Fan, Chunlong, Zhou, Qiaoli, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Luo, Biao, editor, Cheng, Long, editor, Wu, Zheng-Guang, editor, Li, Hongyi, editor, and Li, Chaojie, editor

Published
2024
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4. Educational Process Mining for Discovering Students' Problem-Solving Ability in Computer Programming Education

Author

Liu, Fang, Zhao, Liang, Zhao, Jiayi, Dai, Qin, Fan, Chunlong, and Shen, Jun

Abstract

Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in students' learning processes according to this information in the late course. However, educators often expect to improve the learning outcome in a proactive manner through dynamically designing instructional strategies prior to a course that are more appropriate to students' average ability. Therefore, in this article, we propose a two-stage problem-solving ability modeling approach to obtain students' ability in different learning stages, including the pre-problem-solving ability model and the post-problem-solving ability model. The models are trained with Gradient Boosting Decision Tree (GBDT) on the historical event logs of the prerequisite course and the target course, respectively. With the premodel, we establish the students' pre-problem-solving ability profiles that reflect their average knowledge level before starting a course. Then, the instructional design is dynamically chosen according to the profiles. After a course completes, the post-problem-solving ability profiles are generated by the postmodel to analyze the learning outcome and prompt the learning feedback, in order to complete the closed-loop teaching process. We study the modeling of coding ability in computer programming education to show our teaching strategy. The experimental results show that the generalizable problem-solving ability models yield high classification precision, while most students' abilities have been significantly improved by the proposed approach at the end of the course.

Published
2022
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5. Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement

Author

Ding, Guohui, Tang, Wenjing, Yuan, Zhaoyi, Sun, Lulu, Fan, Chunlong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Xiaochun, editor, Suhartanto, Heru, editor, Wang, Guoren, editor, Wang, Bin, editor, Jiang, Jing, editor, Li, Bing, editor, Zhu, Huaijie, editor, and Cui, Ningning, editor

Published
2023
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6. An Extractive Automatic Summarization Method for Chinese Long Text

Author

Zhu, Jizhao, Duan, Wenyu, Yu, Naitong, Pan, Xinlong, Fan, Chunlong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Xiaochun, editor, Suhartanto, Heru, editor, Wang, Guoren, editor, Wang, Bin, editor, Jiang, Jing, editor, Li, Bing, editor, Zhu, Huaijie, editor, and Cui, Ningning, editor

Published
2023
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7. Semantic Extension for Cross-Modal Retrieval of Medical Image-Diagnosis Report

Author

Ding, Guohui, Zhang, Qi, Geng, Shizhan, Fan, Chunlong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Fei, editor, Duan, Nan, editor, Xu, Qingting, editor, and Hong, Yu, editor

Published
2023
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8. Spatio-Textual Group Skyline Query

Author

Sun, Mengmeng, Teng, Yiping, Zhao, Fanyou, Qi, Jiawei, Jiang, Dongyue, Fan, Chunlong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, El Abbadi, Amr, editor, Dobbie, Gillian, editor, Feng, Zhiyong, editor, Chen, Lu, editor, Tao, Xiaohui, editor, Shao, Yingxia, editor, and Yin, Hongzhi, editor

Published
2023
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10. Time Series Data Cleaning Based on Dynamic Speed Constraints

Author

Ding, Guohui, Li, Chenyang, Wei, Ru, Sun, Shasha, Liu, Zhaoyu, Fan, Chunlong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, Zhisheng, editor, Beek, Wouter, editor, Wang, Hua, editor, Zhou, Rui, editor, and Zhang, Yanchun, editor

Published
2020
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15. Exploiting Non-visible Relationship in Link Prediction Based on Asymmetric Local Random Walk

Author

Fan, Chunlong, Li, Dong, Teng, Yiping, Fan, Dongwan, Ding, Guohui, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Liu, Derong, editor, Xie, Shengli, editor, Li, Yuanqing, editor, Zhao, Dongbin, editor, and El-Alfy, El-Sayed M., editor

Published
2017
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16. Community Division of Bipartite Network Based on Information Transfer Probability

Author

Fan, Chunlong, Wu, Hengchao, Zhang, Chi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Núñez, Manuel, editor, Nguyen, Ngoc Thanh, editor, Camacho, David, editor, and Trawiński, Bogdan, editor

Published
2015
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17. Analysis of the Time Characteristics of Network Water Army Based on BBS Information

Author

Fan, Chunlong, Liu, Chang, Zhang, Chi, Wu, Hengchao, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, He, Xiaofei, editor, Gao, Xinbo, editor, Zhang, Yanning, editor, Zhou, Zhi-Hua, editor, Liu, Zhi-Yong, editor, Fu, Baochuan, editor, Hu, Fuyuan, editor, and Zhang, Zhancheng, editor

Published
2015
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18. Schema Matching Based on Source Codes

Author

Ding, Guohui, Wang, Guoren, Fan, Chunlong, Chen, Shuo, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Liu, An, editor, Ishikawa, Yoshiharu, editor, Qian, Tieyun, editor, Nutanong, Sarana, editor, and Cheema, Muhammad Aamir, editor

Published
2015
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45. An Universal Adversarial Attack Method Based on Spherical Projection.

Author

Fan, Chunlong, Zhang, Zhimin, and Qiao, Jianzhong

Subjects
*SPHERICAL projection, *SAMPLING errors
Abstract

Adversarial attack on neural networks has become an important problem restricting its security applications, and among adversarial attacks oriented towards the sample set, the universal perturbation design causing most sample output errors is critical to the study. This paper takes the neural network for image classification as the research object, summarizes the existing universal perturbation generation algorithm, proposes a universal perturbation generation algorithm combining batch stochastic gradient rise and spherical projection search, achieves loss function reduction through the iterative training of stochastic gradient rise in batch samples, and limits the universal perturbation search to a high-dimensional sphere with radius ε to reduce the search space of universal perturbation. Moreover, the regularized technology is introduced to improve the generation quality of universal perturbations. The experimental results show that compared with the baseline algorithm, the attack success rate increases by more than 10%, the solution efficiency of universal perturbation is improved by one order of magnitude, and the quality controllability of universal perturbation is better. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Research on an Adaptive Neural Network K-Pixel Adversarial Example Generation Algorithm.

Author

Fan, Chunlong, Li, Cailong, Zhang, Jici, Teng, Yiping, and Qiao, Jianzhong

Subjects
*ALGORITHMS, *GREEDY algorithms, *PIXELS, *DEEP learning
Abstract

Neural network technology has achieved good results in many tasks, such as image classification. However, for some input examples of neural networks, after the addition of designed and imperceptible perturbations to the examples, these adversarial examples can change the output results of the original examples. For image classification problems, we derive low-dimensional attack perturbation solutions on multidimensional linear classifiers and extend them to multidimensional nonlinear neural networks. Based on this, a new adversarial example generation algorithm is designed to modify a specified number of pixels. The algorithm adopts a greedy iterative strategy, and gradually iteratively determines the importance and attack range of pixel points. Finally, experiments demonstrate that the algorithm-generated adversarial example is of good quality, and the effects of key parameters in the algorithm are also analyzed. [ABSTRACT FROM AUTHOR]

Published
2022
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