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检索条件"机构=National Key Lab of Novel Software Technology and Department of Computer Science and Technology"
2020 条 记 录,以下是11-20 订阅
排序:
Migrant Resettlement by Evolutionary Multiobjective Optimization
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第1期6卷 51-65页
作者: Liu, Dan-Xuan Gu, Yu-Ran Qian, Chao Mu, Xin Tang, Ke Nanjing University National Key Laboratory for Novel Software Technology School of Artificial Intelligence Nanjing210023 China Peng Cheng Laboratory Shenzhen518000 China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen518055 China
Migration has been a universal phenomenon, which brings opportunities as well as challenges for global development. As the number of migrants (e.g., refugees) increases rapidly, a key challenge faced by each country i... 详细信息
来源: 评论
Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning  22
Grey-box Adversarial Attack on Communication in Multi-agent ...
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22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023
作者: Ma, Xiao Li, Wu-Jun National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China
Although research on communication in multi-agent reinforcement learning (MARL) has achieved some progress, the vulnerability of the communication mechanism in MARL caused by adversarial communication messages generat... 详细信息
来源: 评论
RandoMix: a mixed sample data augmentation method with multiple mixed modes
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Multimedia Tools and Applications 2025年 第8期84卷 4343-4359页
作者: Liu, Xiaoliang Shen, Furao Zhao, Jian Nie, Changhai National Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China School of Artificial Intelligence Nanjing University Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing China
Data augmentation plays a crucial role in enhancing the robustness and performance of machine learning models across various domains. In this study, we introduce a novel mixed-sample data augmentation method called Ra... 详细信息
来源: 评论
Self-Training with label-Feature-Consistency for Domain Adaptation  28th
Self-Training with Label-Feature-Consistency for Domain Ad...
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28th International Conference on Database Systems for Advanced Applications, DASFAA 2023
作者: Xin, Yi Luo, Siqi Jin, Pengsheng Du, Yuntao Wang, Chongjun National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China
Mainstream approaches for unsupervised domain adaptation (UDA) learn domain-invariant representations to address the domain shift. Recently, self-training has been used in UDA, which exploits pseudo-labels for unlabel... 详细信息
来源: 评论
Rendering discrete participating media using geometrical optics approximation
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Computational Visual Media 2022年 第3期8卷 425-444页
作者: Jie Guo Bingyang Hu Yanjun Chen Yuanqi Li Yanwen Guo Ling-Qi Yan State Key Lab for Novel Software Technology Nanjing UniversityNanjing 210023China Department of Computer Science UC Santa BarbaraUSA
We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete *** particle size is expected to range from the scale of the wavelength to several orders of magnitude ... 详细信息
来源: 评论
A sharding blockchain-based UAV system for search and rescue missions
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Frontiers of computer science 2025年 第3期19卷 103-118页
作者: Xihan ZHANG Jiashuo ZHANG Jianbo GAO Libin XIA Zhi GUAN Hao HU Zhong CHEN School of Computer Science Peking UniversityBeijing 100871China Peking University Chongqing Research Institute of Big Data Chongqing 401329China National Engineering Research Center for Software Engineering Peking UniversityBeijing 100871China State Key Lab for Novel Software Technology Nanjing UniversityNanjing 210023China
Sharding is a promising technique to tackle the critical weakness of scalability in blockchain-based unmanned aerial vehicle(UAV)search and rescue(SAR)*** breaking up the blockchain network into smaller partitions cal... 详细信息
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Empirically revisiting and enhancing automatic classification of bug and non-bug issues
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Frontiers of computer science 2024年 第5期18卷 25-44页
作者: Zhong LI Minxue PAN Yu PEI Tian ZHANG Linzhang WANG Xuandong LI State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Department of Computer Science and Technology Nanjing UniversityNanjing 210023China Software Institute Nanjing UniversityNanjing 210093China Department of Computing The Hong Kong Polytechnic UniversityHong KongChina
A large body of research effort has been dedicated to automated issue classification for Issue Tracking Systems(ITSs).Although the existing approaches have shown promising performance,the different design choices,incl... 详细信息
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How far are we to GPT-4V?Closing the gap to commercial multimodal models with open-source suites
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science China(Information sciences) 2024年 第12期67卷 5-22页
作者: Zhe CHEN Weiyun WANG Hao TIAN Shenglong YE Zhangwei GAO Erfei CUI Wenwen TONG Kongzhi HU Jiapeng LUO Zheng MA Ji MA Jiaqi WANG Xiaoyi DONG Hang YAN Hewei GUO Conghui HE Botian SHI Zhenjiang JIN Chao XU Bin WANG Xingjian WEI Wei LI Wenjian ZHANG Bo ZHANG Pinlong CAI Licheng WEN Xiangchao YAN Min DOU Lewei LU Xizhou ZHU Tong LU Dahua LIN Yu QIAO Jifeng DAI Wenhai WANG State Key Laboratory for Novel Software Technology Nanjing University Shanghai AI Laboratory School of Computer Science Fudan University SenseTime Research Department of Information Engineering The Chinese University of Hong Kong Department of Electronic Engineering Tsinghua University
In this paper, we introduce InternVL 1.5, an open-source multimodal large language model(MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding. We introdu... 详细信息
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LAMB: label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection  19th
LAMB: Label-Induced Mixed-Level Blending for Multimodal Mul...
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19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023
作者: Qian, Shuwei Guo, Ming Fan, Zhicheng Chen, Mingcai Wang, Chongjun State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Department of Computer Science and Technology Nanjing University Nanjing China
To better understand complex human emotions, there is growing interest in utilizing heterogeneous sensory data to detect multiple co-occurring emotions. However, existing studies have focused on extracting static info... 详细信息
来源: 评论
Testing Constraint Checking Implementations via Principled Metamorphic Transformations  31
Testing Constraint Checking Implementations via Principled M...
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31st IEEE International Conference on software Analysis, Evolution and Reengineering, SANER 2024
作者: Gao, Mingchen Wang, Huiyan Xu, Chang Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Nanjing University Department of Computer Science and Technology Nanjing China
Constraint checking techniques are being widely used for ensuring the consistency of software artifacts during their development and evolution (e.g., detecting inconsistency in an application's running contexts or... 详细信息
来源: 评论