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1. Dysfunction in sensorimotor and default mode networks in major depressive disorder with insights from global brain connectivity

Author

Zhang, Yajuan, Huang, Chu-Chung, Zhao, Jiajia, Liu, Yuchen, Xia, Mingrui, Wang, Xiaoqin, Wei, Dongtao, Chen, Yuan, Liu, Bangshan, Zheng, Yanting, Wu, Yankun, Chen, Taolin, Cheng, Yuqi, Xu, Xiufeng, Gong, Qiyong, Si, Tianmei, Qiu, Shijun, Cheng, Jingliang, Tang, Yanqing, Wang, Fei, Qiu, Jiang, Xie, Peng, Li, Lingjiang, He, Yong, Lin, Ching-Po, and Lo, Chun-Yi Zac

Published
2024
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3. Meta-ZSDETR: Zero-shot DETR with Meta-learning

Author

Zhang, Lu, Zhang, Chenbo, Zhao, Jiajia, Guan, Jihong, and Zhou, Shuigeng

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Zero-shot object detection aims to localize and recognize objects of unseen classes. Most of existing works face two problems: the low recall of RPN in unseen classes and the confusion of unseen classes with background. In this paper, we present the first method that combines DETR and meta-learning to perform zero-shot object detection, named Meta-ZSDETR, where model training is formalized as an individual episode based meta-learning task. Different from Faster R-CNN based methods that firstly generate class-agnostic proposals, and then classify them with visual-semantic alignment module, Meta-ZSDETR directly predict class-specific boxes with class-specific queries and further filter them with the predicted accuracy from classification head. The model is optimized with meta-contrastive learning, which contains a regression head to generate the coordinates of class-specific boxes, a classification head to predict the accuracy of generated boxes, and a contrastive head that utilizes the proposed contrastive-reconstruction loss to further separate different classes in visual space. We conduct extensive experiments on two benchmark datasets MS COCO and PASCAL VOC. Experimental results show that our method outperforms the existing ZSD methods by a large margin., Comment: Accepted in ICCV 2023

Published
2023

7. Target Tracking Method Based on LSTM-EKF

Author

Xu, Hongfeng, Zhao, Jiajia, Zhang, Hang, Jiang, Jixiang, Chen, Linxiu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Yu, Jianglong, editor, Liu, Yumeng, editor, and Li, Qingdong, editor

Published
2024
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8. Collaborative Search Method of Heterogeneous UAVs in Gray Area

Author

Wang, Hongmin, Bu, Yunong, Zhao, Jiajia, Hao, Mingrui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Yu, Jianglong, editor, Liu, Yumeng, editor, and Li, Qingdong, editor

Published
2024
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9. A Combat Intention Reasoning Method for Warship Formation Targets Based on Deep Learning

Author

Xu, Hongfeng, Zhao, Jiajia, Zhang, Hang, Jiang, Jixiang, Chen, Linxiu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Li, Xiaoduo, editor, Song, Xun, editor, and Zhou, Yingjiang, editor

Published
2024
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10. A Review of Target Association Methods

Author

Xu, Hongfeng, Zhao, Jiajia, Zhang, Hang, Jiang, Jixiang, Chen, Linxiu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Li, Xiaoduo, editor, Song, Xun, editor, and Zhou, Yingjiang, editor

Published
2024
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11. Combat Intention Recognition of Aerial Battlefield Targets Based on LSTM

Author

Xu, Hongfeng, Zhao, Jiajia, Zhang, Hang, Jiang, Jixiang, Chen, Linxiu, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Qu, Yi, editor, Gu, Mancang, editor, Niu, Yifeng, editor, and Fu, Wenxing, editor

Published
2024
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12. Ontology and PDDL Planning Based Unmanned Cluster Collaborative Task System Modeling

Author

Jiang, Zhuolong, Chen, Zebin, Bu, Yunong, Zhao, Jiajia, Wang, Zhijie, Ma, Ruhui, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Qu, Yi, editor, Gu, Mancang, editor, Niu, Yifeng, editor, and Fu, Wenxing, editor

Published
2024
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14. Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison

Author

Liu, Tianying, Zhang, Lu, Wang, Yang, Guan, Jihong, Fu, Yanwei, Zhao, Jiajia, and Zhou, Shuigeng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The generic object detection (GOD) task has been successfully tackled by recent deep neural networks, trained by an avalanche of annotated training samples from some common classes. However, it is still non-trivial to generalize these object detectors to the novel long-tailed object classes, which have only few labeled training samples. To this end, the Few-Shot Object Detection (FSOD) has been topical recently, as it mimics the humans' ability of learning to learn, and intelligently transfers the learned generic object knowledge from the common heavy-tailed, to the novel long-tailed object classes. Especially, the research in this emerging field has been flourishing in recent years with various benchmarks, backbones, and methodologies proposed. To review these FSOD works, there are several insightful FSOD survey articles [58, 59, 74, 78] that systematically study and compare them as the groups of fine-tuning/transfer learning, and meta-learning methods. In contrast, we review the existing FSOD algorithms from a new perspective under a new taxonomy based on their contributions, i.e., data-oriented, model-oriented, and algorithm-oriented. Thus, a comprehensive survey with performance comparison is conducted on recent achievements of FSOD. Furthermore, we also analyze the technical challenges, the merits and demerits of these methods, and envision the future directions of FSOD. Specifically, we give an overview of FSOD, including the problem definition, common datasets, and evaluation protocols. The taxonomy is then proposed that groups FSOD methods into three types. Following this taxonomy, we provide a systematic review of the advances in FSOD. Finally, further discussions on performance, challenges, and future directions are presented., Comment: 35 pages, 14 figures

Published
2022

19. Autofocusing Self-Imaging: The Symmetric Pearcey Talbot-like Effect

Author

Zhao, Jiajia, Wu, You, Lin, Zejia, Xu, Danlin, Huang, Haiqi, Xu, Chuangjie, Tu, Zhifeng, Liu, Hongzhan, Shui, Lingling, and Deng, Dongmei

Subjects
Physics - Optics
Abstract

The Talbot like effect of symmetric Pearcey beams (SPBs) is presented numerically and experimentally in the free space. Owing to the Talbot like effect, the SPBs have the property of periodic and multiple autofocusing. Meanwhile, the focal positions and focal times of SPBs are controlled by the beam shift factor and the distribution factors. What is more, the beam shift factor can also affect the Talbot-like effect and the Talbot period. Therefore, several tiny optical bottles can be generated under the appropriate parameter setting. It is believed that the results can diversify the application of the Talbot effect., Comment: 11 pages, 6 figures

Published
2021
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24. Airy-Gaussian vortex beams in the fractional nonlinear-Schr\'odinger medium

Author

He, Shangling, Zhou, Kangzhu, Malomed, Boris A., Mihalache, Dumitru, Zhang, Liping, Tu, Jialong, Wu, You, Zhao, Jiajia, Peng, Xi, He, Yingji, Zhou, Xiang, and Deng, Dongmei

Subjects
Physics - Optics
Abstract

We address the propagation of vortex beams with the circular Airy-Gaussian shape in a (2+1)-dimensional optical waveguide modeled by the fractional nonlinear Schrodinger equation. Systematic analysis of autofocusing of the beams reveals a strongly non-monotonous dependence of the peak intensity in the focal plane on the corresponding Levy index, with a strong maximum at alpha =1.4. Effects of the nonlinearity strength, the ratio of widths of the Airy and Gaussian factors in the input, as well as the beam vorticity, on the autofocusing dynamics are explored. In particular, multiple autofocusing events occur if the nonlinearity is strong enough. Under the action of the azimuthal modulational instability, an axisymmetric beam may split into a set of separating bright spots. In the case of strong fractality (for alpha close to 1), the nonlinear beam self-traps, after the first instance of autofocusing, into a breathing vortical quasi-soliton. Radiation forces induced by the beam field are considered too, and a capture position for a probe nanoparticle is thus identified., Comment: 17pages,11figures,to be published in J. Opt. Soc. Am. B

Published
2021

28. Neurodevelopmental risk and adaptation as a model for comorbidity among internalizing and externalizing disorders: genomics and cell-specific expression enriched morphometric study

Author

Kuang, Nanyu, Liu, Zhaowen, Yu, Gechang, Wu, Xinran, Becker, Benjamin, Fan, Huaxin, Peng, Songjun, Zhang, Kai, Zhao, Jiajia, Kang, Jujiao, Dong, Guiying, Zhao, Xingming, Sahakian, Barbara J., Robbins, Trevor W., Cheng, Wei, Feng, Jianfeng, Schumann, Gunter, Palaniyappan, Lena, and Zhang, Jie

Published
2023
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32. Study on the optimization of sourdough starter with high activity

Author

ZHAO Jiajia, GU Yao, LI Yan, QIAN Haifeng, and WANG Li

Subjects
sourdough, bread, lactic acid bacteria, drying process, protective agent, Food processing and manufacture, TP368-456
Abstract

Objective: This research aimed to study the preparation of standardized and stable sourdough starter, to explore the effects of different drying processes and protective agents on the survival rate of sourdough, and examine its storage activity. Methods: A variety of fruits were selected to prepare sourdough, the fermentation process was studied, and the strains were isolated and identified by ITs and 16s gene sequencing in the database. The optimum scheme was obtained by selecting the drying process, sample state and protectant formulation with the activity after drying and storage activity as indexes. Results: It was found that the bread prepared with grape sourdough had the best specific volume, porosity and hardness. On this basis, the drying survival rate and storage activity were used as indexes to study the combination of drying protectants. Finally, two better protective agent formulations were obtained by orthogonal experiment: ① Freeze-dried the dominant pure bacterial solution, skim milk 35%, maltodextrin 7.5% and trehalose 25%, and the drying survival rate was about 93%. ② Spray dried sourdough germ whole, skim milk 35%, maltodextrin 10% and trehalose 15%, and the drying survival rate was about 90%. Conclusion: It was found that the storage activity of the spray-dried starter decreased rapidly, while that of the freeze-dried starter was slower.

Published
2024
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33. A Spatially Dependent Probabilistic Model for House Hunting in Ant Colonies

Author

Cai, Grace, Wu, Wendy, Zhao, Wayne, Zhao, Jiajia, and Lynch, Nancy

Subjects
Computer Science - Multiagent Systems
Abstract

Ant species such as Temnothorax albipennis select a new nest site in a distributed fashion that, if modeled correctly, can serve as useful information for site selection algorithms for robotic swarms and other applications. Studying and replicating the ants' house hunting behavior will also illuminate useful distributed strategies that have evolved in nature. Many of the existing models of househunting behaviour for T. albipennis make the assumption that all candidate nest sites are equally distant from the ants' home nest, or that an ant has an equal probability of finding each candidate nest site. However, realistically this is not the case, as nests that are further away from the home nest and nests that are difficult to access are less likely to be found, even if they are of higher quality. We extend previous house-hunting models to account for a pairwise distance metric between nests, compare our results to those of real colonies, and use our results to examine the effects of house hunting in nests of different spatial orientations. Our incorporation of distances in the ant model appear to match empirical data in situations where a distance-quality tradeoff between nests is relevant. Furthermore, the model continues to be on par with previous house-hunting models in experiments where all candidate nests are equidistant from the home nest, as is typically assumed.

Published
2021

38. A Review of Methods of Battlefield Target Combat Intention Recognition

Author

Xu, Hongfeng, Zhao, Jiajia, Chen, Linxiu, Tan, Wei, Zhang, Hang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Fu, Wenxing, editor, Gu, Mancang, editor, and Niu, Yifeng, editor

Published
2023
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39. A Multimodal Image Matching Algorithm Based on Structure Feature

Author

Wang, Xing, Zhao, Jiajia, su, Ang, Guan, Banglei, Dong, Jing, Han, Songlai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Yan, Liang, editor, and Deng, Yimin, editor

Published
2023
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45. Study on visualization of thermodynamic disaster in coal mine based on knowledge map

Author

ZHAO Jiajia, TIAN Shixiang, YANG Jiaxiang, and JIANG Zebiao

Subjects
coal mine thermodynamic disaster, knowledge map, citespace, keywords clustering, visualization, Mining engineering. Metallurgy, TN1-997
Abstract

In order to explore the research trends of thermodynamic disaster in coal mine, based on the perspective of information visualization, 2 845 related papers published in CNKI database from 2002 to 2021 were used as data sources, and CiteSpace was used to conduct scientific measurement analysis on the number of papers, authors, institutions and keywords. The research shows that the research on thermodynamic disaster in coal mine generally shows three stages: slow growth, steady growth and stable development. DENG Jun, WANG Deming, YU Minggao, WEN Hu are the main core authors in this field. China University of Mining and Technology, Xi’an University of Science and Technology, Liaoning Technical University, China University of Mining & Technology（Ｂｅｉｊｉｎｇ） are the main research institutions in this field. Hot keywords mainly focus on gas explosion, coal spontaneous combustion, numerical simulation, mined-out area, etc. The research emphasis in this field is mainly embodied in the research of spontaneous combustion characteristics of coal and gas explosion, in which numerical simulation is an important research method. At present, there are few studies on coal mine thermal power compound disasters and disaster monitoring and early warning. In the future, the research on these two aspects can be strengthened.

Published
2023
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