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1,481 results on '"Shi, Chong"'

4. TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation

Author

Lin, Xin, Shi, Chong, Zhan, Yibing, Yang, Zuopeng, Wu, Yaqi, and Tao, Dacheng

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Dynamic scene graph generation (SGG) focuses on detecting objects in a video and determining their pairwise relationships. Existing dynamic SGG methods usually suffer from several issues, including 1) Contextual noise, as some frames might contain occluded and blurred objects. 2) Label bias, primarily due to the high imbalance between a few positive relationship samples and numerous negative ones. Additionally, the distribution of relationships exhibits a long-tailed pattern. To address the above problems, in this paper, we introduce a network named TD$^2$-Net that aims at denoising and debiasing for dynamic SGG. Specifically, we first propose a denoising spatio-temporal transformer module that enhances object representation with robust contextual information. This is achieved by designing a differentiable Top-K object selector that utilizes the gumbel-softmax sampling strategy to select the relevant neighborhood for each object. Second, we introduce an asymmetrical reweighting loss to relieve the issue of label bias. This loss function integrates asymmetry focusing factors and the volume of samples to adjust the weights assigned to individual samples. Systematic experimental results demonstrate the superiority of our proposed TD$^2$-Net over existing state-of-the-art approaches on Action Genome databases. In more detail, TD$^2$-Net outperforms the second-best competitors by 12.7 \% on mean-Recall@10 for predicate classification., Comment: Accepted by AAAI 2024

Published
2024

13. Prognostic factors for lacrimal gland adenoid cystic carcinoma: a retrospective study in Chinese patients

Author

Lu-Di Yang, Shi-Chong Jia, Jie Yang, Xin Song, Ye-Fei Wang, and Xian-Qun Fan

Subjects
lacrimal gland adenoid cystic carcinoma, risk factors, prognostic analysis, histological subtypes, Ophthalmology, RE1-994
Abstract

AIM: To explore the prognostic factors for lacrimal gland adenoid cystic carcinoma (LGACC) in Chinese patients. METHODS: Clinical and histopathological data were reviewed in patients with pathologically confirmed LGACC. Local recurrence, metastasis, and disease-specific death were the main outcome measures. Univariate and multivariate analyses were performed by the Kaplan-Meier method and a Cox proportional hazard model. RESULTS: This retrospective cohort study included 45 patients with pathologically confirmed LGACC between January 2008 and June 2022. Tumor (T) classification (P=0.005), nodal metastasis (N) classification (P=0.018) and positive margin (P=0.008) were independent risk factors of recurrence; T (P=0.013) and N (P=0.003) classification and the basaloid tumor type (P=0.032) were independent risk factors for metastasis; T classification (P

Published
2024
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15. From Passive Defense to Proactive Defence: Strategies and Technologies

Author

Shi, Chong, Peng, Jiahao, Zhu, Shuying, Ren, Xiaojun, 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, Vaidya, Jaideep, editor, Gabbouj, Moncef, editor, and Li, Jin, editor

Published
2024
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16. The Interference Analysis and Evaluation of DME to BeiDou-3/B2a

Author

Zhang, Jian-ming, Xu, Fei, Li, Shi-chong, 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, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Yang, Changfeng, editor, and Xie, Jun, editor

Published
2024
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29. Factors Influencing Job Satisfaction among Academic Staffs

Author

Hee, Ong Choon, Shi, Chong Hui, Kowang, Tan Owee, Fei, Goh Chin, and Ping, Lim Lee

Abstract

The purpose of this study is to examine the relationship between pay and benefits, work environment, top management leadership, workload and job satisfaction among academic staffs in a private academic institution in Malaysia. Motivation-Hygiene Theory, Maslow's Needs Hierarchy theory and Leader-Member Exchange (LMX) theory were used to establish the theoretical framework of this study. Questionnaire survey method was employed to collect data which yielded 82 responses in this study. Statistical Package for Social Science (SPSS) was used to perform data analysis throughout the study. All study variables were found to have significant positive relationships with job satisfaction among academic staffs in the selected institution. Top management leadership was discovered to have the most significant relationship with job satisfaction. The findings of this research provide a clear message to the top management that leadership plays an important role in enhancing job satisfaction of the academic staffs. Hence, it is suggested that the institution management should adopt appropriate leadership style and establish effective strategies and policies that aim to increase job satisfaction and performance of the academic staffs.

Published
2020

30. Artificial intelligence for geoscience: Progress, challenges, and perspectives

Author

Zhao, Tianjie, Wang, Sheng, Ouyang, Chaojun, Chen, Min, Liu, Chenying, Zhang, Jin, Yu, Long, Wang, Fei, Xie, Yong, Li, Jun, Wang, Fang, Grunwald, Sabine, Wong, Bryan M., Zhang, Fan, Qian, Zhen, Xu, Yongjun, Yu, Chengqing, Han, Wei, Sun, Tao, Shao, Zezhi, Qian, Tangwen, Chen, Zhao, Zeng, Jiangyuan, Zhang, Huai, Letu, Husi, Zhang, Bing, Wang, Li, Luo, Lei, Shi, Chong, Su, Hongjun, Zhang, Hongsheng, Yin, Shuai, Huang, Ni, Zhao, Wei, Li, Nan, Zheng, Chaolei, Zhou, Yang, Huang, Changping, Feng, Defeng, Xu, Qingsong, Wu, Yan, Hong, Danfeng, Wang, Zhenyu, Lin, Yinyi, Zhang, Tangtang, Kumar, Prashant, Plaza, Antonio, Chanussot, Jocelyn, Zhang, Jiabao, Shi, Jiancheng, and Wang, Lizhe

Published
2024
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47. Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview

Author

Imasu, Ryoichi, Matsunaga, Tsuneo, Nakajima, Masakatsu, Yoshida, Yukio, Shiomi, Kei, Morino, Isamu, Saitoh, Naoko, Niwa, Yosuke, Someya, Yu, Oishi, Yu, Hashimoto, Makiko, Noda, Hibiki, Hikosaka, Kouki, Uchino, Osamu, Maksyutov, Shamil, Takagi, Hiroshi, Ishida, Haruma, Nakajima, Takashi Y., Nakajima, Teruyuki, and Shi, Chong

Published
2023
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49. Analysis of preoperative influential factors and construction of a predictive nomogram of difficult thyroidectomy

Author

Meng Dong, Jun-Long Song, Lin-Lin Hu, Chen-Chen Hong, Xin-Yue Nie, Zhong Wang, Shi-Chong Liao, and Feng Yao

Subjects
Difficult thyroidectomy, Nomogram, Predictive factors, Thyroid surgery, Surgery, RD1-811
Abstract

Abstract Objective To explore the preoperative influential factors of difficult thyroidectomy and establish a preoperative nomogram for predicting the difficulty of thyroidectomy. Methods A total of 753 patients who underwent total thyroidectomy with central lymph node dissection between January 2018 and December 2021 were retrospectively enrolled in this study and randomly divided into training and validation groups at a ratio of 8:2. In both subgroups, the patients were divided into difficult thyroidectomy and nondifficult thyroidectomy groups based on the operation time. Patient age, sex, body mass index (BMI), thyroid ultrasound, thyroid function, preoperative fine needle aspiration (FNA), postoperative complications and other data were collected. Logistic regression analysis was performed to identify the predictors of difficult thyroidectomy, and a nomogram predicting surgical difficulty was created. Results Multivariate logistic regression analysis demonstrated that male sex (OR = 2.138, 95% CI 1.055–4.336, p = 0.035), age (OR = 0.954, 95% CI 0.932–0.976, p

Published
2023
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