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15th International Conference on Parallel and Distributed Systems, ICPADS '09

作者： Xie, Lei Chen, Lijun Chen, Daoxu Xie, Li State Key Laboratory of Novel Software Technology Department of Computer Science Nanjing University Nanjing China

ISBN: (纸本)9780769539003

This paper presents the design of a decentralized storage scheme to support multi-dimensional range queries over sensor networks. We build a distributed k-d tree based index structure over sensor network, so as to efficiently map high dimensional event data to a two-dimensional space of sensors while preserving the proximity of events. We propose a dynamic programming based methodology to control the granularity of the index tree in an optimized approach, and an optimized routing scheme for range query processing to achieve best energy efficiency. The simulation results demonstrate the efficiency of the design. © 2009 IEEE.

关键词： Sensor networks

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TMAC: Taint-based memory protection via access control

TMAC: Taint-based memory protection via access control

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2009 2nd International Conference on Dependability, DEPEND 2009

作者： Lei, Wang Chen, Fang Bing, Mao Li, Xie State Key Laboratory for Novel Software Technology Department of Computer Science Nanjing University Nanjing China

ISBN: (纸本)9780769536668

Memory corruption attacks account for most parts of malicious attacks toward software security. Recently dynamic taint analysis is proposed and is gaining momentum. This proposed technique attempts to defeat attacks by checking the taintedness and integrity of pointers when accessing memory since vulnerabilities are always motivated by tainting pointers. Unfortunately, there exists some class of attacks without tainting pointers, such as array bounds violation attacks using pointers. In this paper, we propose a novel approach to defeat this kind of undetected attacks using taint-based tracking analysis. Our notion is based on the memory access control, that is, first, we will check the taintedness of the pointers when accessing memory like existing taint-based approaches, second, we will check whether or not the memory area is in the legitimate range of a pointer used to access this memory. Our implementation dose not need source code and is based on Valgrind, hence works on commodity software. To demonstrate our idea, we performed a preliminary empirical experiments, the results are quite promising: TMAC can effectively detect a wide range of attacks, and the average runtime overhead is close to Memcheck, a widely memory error detector. © 2009 IEEE.

关键词： Network security

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A dynamic extension and data migration method based on PVFS 15th

A dynamic extension and data migration method based on PVFS

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Zhang, Xiaoyu Tang, Jie Gao, Heng Wu, Gangshan State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210046 China

ISBN: (纸本)9783319271217

With the development of the big data, The traditional file system can no longer meet the demand of High Performance Computing and Big Data. Parallel file systems are getting more and more popular in High Performance Computing. As a typical parallel file system, PVFS has been widely used in big data computing area in recent years. However with the increasing of computing scale, there exist the needs to dynamic extend data nodes, which PVFS does not support at present. This paper put forward a dynamic data node extension method as well as the subsequent data migration algorithm based on PVFS. The algorithm first adds a new data node automatically and transparently. After that, the algorithm finds out the most loaded data node in the original file system using a new load evaluation method and transfer the data into the newly added data node to mitigate the imbalance of the system. The experimental results show that our dynamic data node extension method could improve the performance of PVFS and reduce the probability of hot point effectively. © Springer International Publishing Switzerland 2015.

关键词： Big data

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Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches 2

Adapting Conventional Chinese Word Segmenter for Segmenting ...

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2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2012

作者： Xi, Ning Li, Bin Tang, Guangchao Huang, Shujian Zhao, Yinggong Zhou, Hao Dai, Xinyu Chen, Jiajun State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210023 China

We describe two adaptation strategies which are used in our word segmentation system in participating the Micro-blog word segmentation bake-off: Domain invariant information is extracted from the in-domain unlabelled corpus, and is incorporated as supplementary features to conventional word segmenter based on Conditional Random Field (CRF), we call it statistic-based adaptation. Some heuristic rules are further used to post-process the word segmentation result in order to better handle the characters in emoticons, name entities and special punctuation patterns which extensively exist in micro-blog text, and we call it rule-based adaptation. Experimentally, using both adaptation strategies, our system achieved 92.46 points of F-score, compared with 88.73 points of F-score of the unadapted CRF word segmenter on the pre-released development data. Our system achieved 92.51 points of F-score on the final test data. © 2021 CLP 2012 - 2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All Rights Reserved.

关键词： Random processes

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A framework for dynamic software architecture-based self-healing

A framework for dynamic software architecture-based self-hea...

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IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

作者： Yang, Qun Yang, Xian-Chun Xu, Man-Wu State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210093 China

Self-healing is an active topic in areas like large complex distributed systems and continuous running systems, such as telephone switching systems, banking systems, mobile embedded systems. The architecture-based self-healing approach uses the architectural model as a basis for system reconfiguration. In architecture-based self-healing systems, the architectures may also be changed. The architectures that change during system's execution are dynamic software architectures. In this paper, a dynamic software architecture-based approach to self-healing is proposed. In the approach, architectural reflection is used to make the system architectures observable and controllable. Moreover, architectural style is used to ensure the consistency and correctness of the changes. © 2005 IEEE.

关键词： computer architecture

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Word alignment combination over multiple word segmentation

Word alignment combination over multiple word segmentation

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49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011

作者： Xi, Ning Tang, Guangchao Li, Boyuan Zhao, Yinggong State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9781932432893

In this paper, we present a new word alignment combination approach on language pairs where one language has no explicit word boundaries. Instead of combining word alignments of different models (Xiang et al., 2010), we try to combine word alignments over multiple monolingually motivated word segmentation. Our approach is based on link confidence score defined over multiple segmentations, thus the combined alignment is more robust to inappropriate word segmentation. Our combination algorithm is simple, efficient, and easy to implement. In the Chinese-English experiment, our approach effectively improved word alignment quality as well as translation performance on all segmentations simultaneously, which showed that word alignment can benefit from complementary knowledge due to the diversity of multiple and monolingually motivated segmentations. © 2011 Association for Computational Linguistics.

关键词： Alignment

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Multi-modal Long-Short Distance Attention-based Transformer-GAN for PET Reconstruction with Auxiliary MRI

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IEEE Transactions on Circuits and Systems for Video technology 2025年

作者： Zeng, Pinxian Zeng, Xinyi Wang, Yan Zhou, Luping Zu, Chen Wu, Xi Zhou, Jiliu Shen, Dinggang Sichuan University School of Computer Science China University of Sydney School of Electrical and Information Engineering Australia Department of Risk Controlling Research *** China Chengdu University of Information Technology School of Computer Science China ShanghaiTech University School of Biomedical Engineering State Key Laboratory of Advanced Medical Materials and Devices Shanghai201210 China Shanghai United Imaging Intelligence Co. Ltd Shanghai200232 China Shanghai Clinical Research and Trial Center Shanghai201210 China

To obtain high-quality PET scans while minimizing potential radiation hazards for patients, various GAN-based methods have been developed to reconstruct high-quality standard-count PET (SPET) images from low-count PET (LPET) ones. While recent efforts try to integrate MRI or CT to enhance reconstruction in a multi-modal way, current architectures mainly face two limitations: (1) CNN backbones or simple Transformer bottleneck layers are insufficient for robust semantic understanding, and (2) the identical strategies for multi-modal feature extraction and fusion overlook each modality's respective importance for the reconstruction task. In this work, we propose the Multi-modal Long-Short Distance Attention-based Transformer-GAN (MLSDA-GAN), a novel network combining 3D transformer and CNN architecture for PET image reconstruction. Specifically, to extract fine-grained features with a small number of parameters, our MLSDA-GAN integrates multi-scale convolution into the embedding part of the transformer. As for our multi-modal design, given the strong correlation between LPET and SPET in structural characteristics, we treat MRI as an auxiliary modality to LPET and achieve effective multi-modal extraction and fusion strategies. These strategies include (1) a PET-specific Self-attention Extraction (PSE) block for comprehensive feature extraction of the primary LPET and (2) a Multi-modality Cross-attention Fusion (MCF) block for effective multi-modal interaction and fusion, enabling us to more efficiently model both long- and short-range relationships in the corresponding feature extraction and fusion processes. Experiments demonstrate superiority of our method quantitatively and qualitatively. Code is available at https://***/Aru321/MLSDA-GAN. © 1991-2012 IEEE.

关键词： Radiation hazards

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SalienTR: A closer look at multi-modal transformer for RGB-T salient object detection

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Expert Systems with Applications 2025年 286卷

作者： Guo, Ruohao Yue, Wenzhen Qu, Liao Qi, Yanyu Niu, Dantong Ying, Xianghua School of Intelligence Science and Technology State Key Laboratory of General Artificial Intelligence Peking University Beijing100871 China Electrical and Computer Engineering department Carnegie Mellon University PA15213 United States College of Information and Electrical Engineering China Agricultural University Beijing100091 China BAIR Lab University of California BerkeleyCA94709 United States

Recently, transformer-based methods show impressive performance on challenging dense prediction tasks, yet far from perfect. In this paper, we present SalienTR, a novel and effective transformer-based model for high-quality RGB-T salient object detection. First, it builds on two parallel Swin Transformer encoders to extract hierarchical appearance representations of color maps and spatial information of thermal infrared maps. Next, a well-designed cross-modal fusion transformer, namely ComFormer, is devised to mine and fuse two-modality features. Specifically, the proposed ComFormer consists of three consecutive components: (1) A local cross-modal multi-head self-attention (LoC-MSA) to capture local correlations along space-modal dimensions;(2) A global cross-modal multi-head self-attention (GLoC-MSA) to build long-range dependencies between different modalities;(3) A uni-modal convolution (Uni-Conv) that exploits fused information and further learn latent semantics. Besides, we develop a dual-stream decoder that integrates multi-level features to generate both the final salient map and its corresponding edge map. Extensive experiments show that our SalienTR performs well on widely used RGB-T benchmarks and surpasses other state-of-the-art approaches. In addition, SalienTR exhibits high robustness under various challenging scenarios and transferable generalization on RGB-D benchmark datasets. © 2025 Elsevier Ltd

关键词： Object detection

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Privacy preserving distributed permutation test 16

Privacy preserving distributed permutation test

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4th ACM International Workshop on Security in Cloud Computing, SCC 2016

作者： Mao, Yunlong Zhang, Yuan State Key Laboratory for Novel Software Technology Nanjing University Computer Science and Technology Department Nanjing210046 China

ISBN: (纸本)9781450342858

In this paper, we propose a privacy-preserving algorithm for two-party distributed permutation test for the difference of means. Our algorithm allows two parties to jointly perform a permutation test on the union of their data without revealing their data to each other. Our algorithm is useful especially in areas where the testing data often contains private information e.g. clinic trial and biomedical research. We have proved the security of our algorithm and used experiment to show its efficiency. To the best of our knowledge, we are the first to address the privacy issues in permutation tests. © 2016 ACM.

关键词： Bioinformatics

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Code line generation based on deep context-awareness of onsite programming

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science China(Information sciences) 2020年第9期63卷 64-66页

作者： Chuanqi TAO Panpan BAO Zhiqiu HUANG College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Ministry Key Laboratory for Safety-Critical Software Development and Verification Nanjing University of Aeronautics and Astronautics National Key Laboratory for Novel Software Technology Nanjing University

Dear editor,Intelligent code generation has become an essential research task to accelerate modern software development. To facilitate effective code generation for programming languages, numerous approaches have been... 详细信息

关键词： Onsite Programming code line deep context-awareness quality assurance re-ranking

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