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检索条件"机构=Shanghai Development Center of Computer Software Technology"
1061 条 记 录,以下是51-60 订阅
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IVIFUZZER: A Fuzzing method for vulnerability exploitation on the operating interface of the In-Vehicle Infotainment system  5
IVIFUZZER: A Fuzzing method for vulnerability exploitation o...
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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024
作者: Wu, Jianhua Zhang, Xin Shanghai Development Center of Computer Software Technology Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai201112 China
As an important information system of intelligent and connected vehicles, most In-Vehicle Infotainment systems are set up and manage the vehicles through user interaction. This paper presents a Fuzzing method IVIFUZZE... 详细信息
来源: 评论
Survey on Testing of Autonomous Driving Systems  3
Survey on Testing of Autonomous Driving Systems
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3rd International Workshop on Experience with SQuaRE Series and Its Future Direction, IWESQ 2021
作者: Chen, Wenjie Ma, Zeyu Wang, Chao Chen, Mingang Cai, Lizhi Software Engineering Institute Shanghai Key Laboratory of Computer Software Testing & Evaluation Shanghai Development Center of Computer Software Technology Shanghai China
Before autonomous driving vehicles are commercialized, they need to undergo a series of rigorous tests. This paper first proposes the general process of autonomous driving system testing, and then summarizes the resea... 详细信息
来源: 评论
Research on Quality Model and Measurement for Microservices  3
Research on Quality Model and Measurement for Microservices
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3rd International Workshop on Experience with SQuaRE Series and Its Future Direction, IWESQ 2021
作者: Yu, Jinchuan Ge, Jianxin Sun, Jixin Software Engineering Institute Shanghai Key Laboratory of Computer Software Testing & Evaluation Shanghai Development Center of Computer Software Technology Shanghai China
In recent years, microservice architecture (MSA) has become popular. Emerging from the agile community, MSA implies a number of small, independently deployable microservices. They are characterized by low coupling, hi... 详细信息
来源: 评论
Hybrid Intelligent Approach for the Selection of Third-Party Reverse Logistics Provider under Uncertainty
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Journal of Donghua University(English Edition) 2014年 第4期31卷 484-492页
作者: 宫艳雪 宋俊典 彭亦功 添玉 郑树泉 Intelligent Product Innovation Center Shanghai Industrial Technology Institute Shanghai Development Center of Computer Software Technology School of Information East China University of Science and Technology College of Logistics Engineering Shanghai Maritime University
A hybrid intelligent approach is proposed to help the decision maker to select the appropriate third-party reverse logistics provider. The following process is included: firstly,the evaluation team is established to d... 详细信息
来源: 评论
H2-MARL: Multi-Agent Reinforcement Learning for Pareto Optimality in Hospital Capacity Strain and Human Mobility during Epidemic
arXiv
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arXiv 2025年
作者: Luo, Xueting Deng, Hao Yang, Jihong Shen, Yao Guo, Huanhuan Sun, Zhiyuan Liu, Mingqing Wei, Jiming Zhao, Shengjie School of Computer Science and Technology Tongji University Shanghai201804 China China Land Surveying and Planning Institute Beijing100035 China College of Architecture and Urban Planning Tongji University Shanghai200092 China Chongqing Institute of Planning and Natural Resources Investigation and Monitoring Chongqing401121 China Li-Fi Research and Development Centre University of Cambridge CambridgeCB3 0FA United Kingdom Guangdong Urban-rural Planning and Design Research Institute Technology Group Co. Ltd. Guangzhou510290 China Engineering Research Center of Key Software Technologies for Smart City Perception and Planning Ministry of Education Shanghai201804 China
The necessity of achieving an effective balance between minimizing the losses associated with restricting human mobility and ensuring hospital capacity has gained significant attention in the aftermath of COVID-19. Re... 详细信息
来源: 评论
Multi-View Self-Supervised Learning Enhances Automatic Sleep Staging from EEG Signals
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IEEE Transactions on Biomedical Engineering 2025年 PP卷 PP页
作者: Yu, Tianyou Hu, Xinxin He, Yanbin Wu, Wei Gu, Zhenghui Yu, Zhuliang Li, Yuanqing Wang, Fei Xiao, Jun South China University of Technology School of Automation Science and Engineering Guangzhou510640 China Pazhou Laboratory Research Center for Brain-Computer Interface Guangzhou510330 China Guangdong Work Injury Rehabilitation Hospital Department of Traumatic Brain Injury Rehabilitation and Severe Rehabilitation Guangzhou510440 China Shanghai Jiao Tong University School of Medicine Songjiang Hospital Songjiang Research Institute Shanghai Key Laboratory of Emotions and Affective Disorders Shanghai201600 China South China Normal University School of Software Guangzhou510631 China South China University of Technology School of Electric Power Engineering Guangzhou510640 China
Deep learning-based methods for automatic sleep staging offer an efficient and objective alternative to costly manual scoring. However, their reliance on extensive labeled datasets and the challenge of generalization ... 详细信息
来源: 评论
Cross-modality Complementary Interaction Network  8
Cross-modality Complementary Interaction Network
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8th International Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2023
作者: Cao, Zhengnan Gao, Yue Shanghai Institute of Technology School of Science Shanghai China Shanghai Development Center of Computer Software Technology Shanghai China
Salient Object Detection (SOD) aims to identify the most conspicuous objects and regions in the human vision. This paper presents the Cross-Modality Complementary Interaction Network(CCINet), a novel approach for obta... 详细信息
来源: 评论
A test case suite generation framework of scenario testing
A test case suite generation framework of scenario testing
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3rd International Conference on Advances in System Testing and Validation Lifecycle, VALID 2011
作者: Li, Ting Liu, Zhenyu Jiang, Xu Shanghai Development Center of Computer Software Technology Shanghai China Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai China Shanghai Software Industry Association Shanghai China
This paper studies the software scenario testing, which is commonly used in black-box testing. In the paper, the workflow model based on task-driven, which is very common in scenario testing, is analyzed. According to... 详细信息
来源: 评论
Evaluation of Hallucination and Robustness for Large Language Models  23
Evaluation of Hallucination and Robustness for Large Languag...
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23rd IEEE International Conference on software Quality, Reliability, and Security Companion, QRS-C 2023
作者: Hu, Rui Zhong, Junhao Ding, Minjie Ma, Zeyu Chen, Mingang Shanghai Development Center of Computer Software Technology Shanghai Key Laboratory of Computer Software Testing and Evaluating Shanghai China Shanghai AI Industry Association Shanghai China
As large language models (LLMs) rapidly advance, rigorous testing and evaluation of these models grows increasingly crucial. To address this need, we have developed three types of questions: Chinese contextual, Englis... 详细信息
来源: 评论
RSChat:Intelligent Question Answering Model for Railway Safety Knowledge  24
RSChat:Intelligent Question Answering Model for Railway Safe...
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24th IEEE/ACIS International Conference on computer and Information Science, ICIS 2024
作者: Li, Jinyu Li, Chao Niu, Sen Dai, Bingrong School of Computer and Information Engineering Shanghai Polytechnic University Shanghai China Shanghai Development Center of Computer Software Technology Shanghai China
The release of ChatGPT heralds a new era in artificial intelligence, as large language models (LLMs) empower myriad industries. This paper introduces RSChat, a model based on supervised fine-tuning of multiple large l... 详细信息
来源: 评论