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Revocable Broadcast Encryption with Constant Ciphertext and Private key Size

Chinese Journal of Electronics 2019年第4期28卷 690-697页

作者： JIA Hongyong CHEN Yue YANG Kuiwu GUO Yuanbo WANG Zhiwei Zhengzhou University State Key Laboratory of Mathematical Engineering and Advanced Computing Nanjing University of Post and Communications

In a revocable broadcast encryption scheme, the group manager can flexibly set revoked users who cannot decrypt the ciphertext. Many applications of the revocable broadcast encryption have been found in the secure cloud data sharing. An adaptively secure revocable broadcast encryption system with constant ciphertext and private key size under standard assumptions is more suitable for use in the cloud environment. Few existing revocable broadcast encryption schemes meet such a requirement. We propose a revocable broadcast encryption scheme with constant size ciphertext and private key by combining the RSA cryptographic accumulator with an efficient identity based encryption system. We prove it to be adaptively secure under standard assumptions using dual system encryption techniques.

关键词： Cryptographic accumulator Broadcast encryption Revocable Dual system encryption Cloud data sharing

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STOCHASTIC TRUST-REGION METHODS WITH TRUST-REGION RADIUS DEPENDING ON PROBABILISTIC MODELS

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Journal of Computational Mathematics 2022年第2期40卷 294-334页

作者： Xiaoyu Wang Ya-xiang Yuan Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Scientific/Engineering Computing Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China

We present a stochastic trust-region model-based framework in which its radius is related to the probabilistic ***,we propose a specific algorithm termed STRME,in which the trust-region radius depends linearly on the gradient used to define the latest *** complexity results of the STRME method in nonconvex,convex and strongly convex settings are presented,which match those of the existing algorithms based on probabilistic *** addition,several numerical experiments are carried out to reveal the benefits of the proposed methods compared to the existing stochastic trust-region methods and other relevant stochastic gradient methods.

关键词： Trust-region methods,Stochastic optimization Probabilistic models Trust-region radius Global convergence

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An Advanced Automatic Construction Method of ROP

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Wuhan University Journal of Natural Sciences 2015年第2期20卷 119-128页

作者： OUYANG Yongji WANG Qingxian PENG Jianshan ZENG Jie State Key Laboratory of Mathematical Engineering and Advanced Computing

Automatic return oriented programming （ROP） technology can effectively improve the efficiency of ROP constructed, but the existing research results still have some shortcomings including needing more address space, poor generality. In order to solve these problems, this paper presents an improved ROP auto-constructor QExtd. Firstly, we design a Turing-complete language QExtdL and provide the basis of gadgets analysis. Secondly, we represent the MI instruction and realize precise process of side-effect instructions for improving the efficiency of automatic construction. At last, we establish a three-layer language conversion mechanism, making it convenient for users to construct ROP. Theoretical and experimental data show that the QExtd automatic construction method is much better than the ROPgadget based on syntax. In addition, the proposed method succeeds in constructing gadgets of ROP with the probability of 84% for programs whose sizes are more than 20 KB and whose directory is ＂/usr/bin＂ in Ubuntu, which proves that the construction capability improves significantly.

关键词： return oriented programing (ROP) gadget automatic construction Turing-complete

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Exceptionally long-cycle all-solid-state lithium metal batteries enabled by a 3D aluminum foam interlayers

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Nano Energy 2025年 141卷

作者： Wang, Bo Li, Menglin Wang, Zhenyu Jiang, Mingqin Liang, Yali Zhang, Xuedong Yu, Qiang Rong, Zhaoyu Kong, Dejie Zhang, Lun Huang, Jianyu Tang, Yongfu Yanshan University Qinhuangdao066004 China Clean Nano Energy Center State Key Laboratory of Metastable Materials Science and Technology Yanshan University Qinhuangdao066004 China Key Laboratory of Low Dimensional Materials and Application Technology of Ministry of Education School of Materials Science and Engineering Xiangtan University Xiangtan411105 China Guangdong Provincial Key Laboratory of New Energy Materials Service Safety College of Materials Science and Engineering Shenzhen University Shenzhen Guangdong518055 China College of Chemistry Nankai University Tianjin300071 China Guilin Electrical Equipment Scientific Research Institute Co. Ltd. Guilin China Division of Energy Storage Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian116023 China School of Chemistry and Chemical Engineering University of Chinese Academy of Sciences Beijing100049 China

All-solid-state lithium metal batteries (ASSLMBs) with sulfide solid electrolytes (SSEs) are next-generation energy storage technology offering high theoretical energy density. However, interface issues between the SSEs and lithium (Li) metal have plagued the performance of ASSLMBs. In this study, a three-dimensional (3D) aluminum (Al) foam coating with fine alumina (Al2O3) particles was introduced as an interlayer between the SSE and Li metal to mitigate physical and chemical degradation of SSEs and offer ample space for Li deposition. The exceptional lithiophilicity of Al2O3-coated Al enables the in-situ formation of an LiAl/LiAlO2 composite layer, which facilitates the uniform Li metal nucleation and plating. Additionally, the 3D framework provides a host with an increased surface area for the Li plating, thereby preventing the formation of Li dendrites. ASSLMBs incorporating the 3D Al foam (Al2O3@Al@Ni) interlayer demonstrate outstanding electrochemical performance, retaining 90 % of their initial capacity after 500 cycles with a high cathode active material loading of 17.8 mg/cm². Due to the ample space and superior Li affinity with the Al2O3@Al@Ni structure, the ASSLMB with cathode loading of 36 mg/cm2 achieves a high areal capacity of 6 mAh/cm² at room temperature, and remains 93 % of capacity after 100 cycles at 0.2 C. Moreover, an ASSLMB with cathode loading of 3.6 mg/cm² demonstrates an ultra-long cycle life over 5000 cycles at a high current density of 1 C, which is an outstanding achievement for ASSLMBs. The use of 3D Al2O3@Al@Ni interlayer effectively addresses interface challenges in ASSLMBs, enabling record-long cycle life and high energy density ASSLMBs for practical energy storage applications. © 2025

关键词： Aluminum oxide

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Combo Packet:An Encryption Traffic Classification Method Based on Contextual Information

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Computers, Materials & Continua 2024年第4期79卷 1223-1243页

作者： Yuancong Chai Yuefei Zhu Wei Lin Ding Li State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering UniversityZhengzhou450001China

With the increasing proportion of encrypted traffic in cyberspace, the classification of encrypted traffic has becomea core key technology in network supervision. In recent years, many different solutions have emerged in this *** methods identify and classify traffic by extracting spatiotemporal characteristics of data flows or byte-levelfeatures of packets. However, due to changes in data transmission mediums, such as fiber optics and satellites,temporal features can exhibit significant variations due to changes in communication links and transmissionquality. Additionally, partial spatial features can change due to reasons like data reordering and *** with these challenges, identifying encrypted traffic solely based on packet byte-level features is significantlydifficult. To address this, we propose a universal packet-level encrypted traffic identification method, ComboPacket. This method utilizes convolutional neural networks to extract deep features of the current packet andits contextual information and employs spatial and channel attention mechanisms to select and locate effectivefeatures. Experimental data shows that Combo Packet can effectively distinguish between encrypted traffic servicecategories (e.g., File Transfer Protocol, FTP, and Peer-to-Peer, P2P) and encrypted traffic application categories (e.g.,BitTorrent and Skype). Validated on the ISCX VPN-non VPN dataset, it achieves classification accuracies of 97.0%and 97.1% for service and application categories, respectively. It also provides shorter training times and higherrecognition speeds. The performance and recognition capabilities of Combo Packet are significantly superior tothe existing classification methods mentioned.

关键词： Encrypted traffic classification packet-level convolutional neural network attention mechanisms

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Modeling Fine-Grained Relations in Dynamic Space-Time Graphs for Video-Based Facial Expression Recognition

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IEEE Transactions on Affective computing 2025年

作者： Huang, Changqin Jiang, Fan Han, Zhongmei Huang, Xiaodi Wang, Shijin Zhu, Yanlai Jiang, Yunliang Hu, Bin Zhejiang Normal University Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Jinhua321004 China Charles Sturt University School of Computing Mathematics and Engineering AlburyNSW2640 Australia State Key Laboratory of Cognitive Intelligence Anhui Hefei230088 China Hangzhou Hikvision Digital Technology Co. Ltd Education Business Department Hangzhou310051 China Zhejiang Normal University School of Computer Science and Technology Jinhua321004 China Beijing Institute of Technology School of Medical Technology Beijing10081 China

Facial expressions in videos inherently mirror the dynamic nature of real-world facial events. Consequently, facial expression recognition (FER) should employ a dynamic graph-based representation to effectively capture the relational structure of facial expressions rather than relying on conventional grid or sequence methods. However, existing graph-based approaches have their limitations. Frame-level graph methods provide a coarse representation of the facial graph across time and space, while landmark-based graph methods need to introduce additional facial landmarks, resulting in a static graph structure. To address these challenges, we propose spatial-temporal relation-aware dynamic graph convolutional networks (ST-RDGCN). This fine-grained relation modeling approach enables the dynamic modeling of evolving facial expressions in videos through dynamic space-time graphs, eliminating the need for facial landmarks. ST-RDGCN encompasses three graph construction paradigms: dynamic independent space graph, dynamic joint space-time graph, and dynamic cross space-time graph. Furthermore, we propose a relation-aware space-time graph convolution (RSTG-Conv) operator to learn informative spatiotemporal correlations in dynamic space-time graphs. In extensive experimental evaluations, our ST-RDGCN demonstrates state-of-the-art performance on the five popular video-based FER datasets, achieving overall accuracy scores of 99.69%, 91.67%, 56.51%, 69.37%, and 49.03% on the CK+, Oulu-CASIA, AFEW, DFEW, and FERV39 k datasets, respectively. In particular, our ST-RDGCN outperforms the current best method by 3.6% in UAR on the most challenging FERV39 k dataset. Furthermore, our analysis reveals that the dynamic cross space-time graph scheme is the most effective among the three dynamic graph construction schemes. © 2010-2012 IEEE.

关键词： Graphic methods

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Journal of the Operations Research Society of China

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Journal of the Operations Research Society of China 2013年第1期1卷 1-2页

作者： Ya-xiang Yuan State Key Laboratory of Scientific/Engineering Computing Institute of Comptational Mathematics and Scientific/Engineering ComputingAMSSChinese Academy of SciencesZhong Guan Cun Donglu 55Beijing 100190P.R.China

I am very pleased to present the first issue of Journal of the Operations Research Society of China.I believe that the launch of this new journal is not only a festival for the Operations Research Society of China,but... 详细信息

关键词： journal Society community.

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A Counter-Example to a Conjecture of Ben-Tal,Nemirovski and Roos

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Journal of the Operations Research Society of China 2013年第1期1卷 155-157页

In this short note,we present a counter-example to a conjecture made by Ben-Tal et *** SIAM ***.13:535–560,2002.

关键词： Counter-example Conjecture Quadratic constrained optimization Robust solution

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OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis

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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025年

作者： Ni, Liwei Wang, Rui Liu, Miao Meng, Xingyu Lin, Xiaoze Liu, Junfeng Luo, Guojie Chu, Zhufei Qian, Weikang Yang, Xiaoyan Xie, Biwei Li, Xingquan Li, Huawei Chinese Academy of Sciences State Key Lab of Processors Institute of Computing Technology Beijing100190 China Pengcheng Laboratory Shenzhen518055 China University of Chinese Academy of Sciences Beijing101408 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing100049 China Peking University School of Computer Science Center for Energy-Efficient Computing and Applications Beijing100871 China Ninbo University Faculty of Electrical Engineering and Computer Science Ninbo315211 China Shanghai Jiao Tong University University of Michigan-Shanghai Jiao Tong University Joint Institute MoE Key Laboratory of Artificial Intelligence Shanghai200240 China Hangzhou Dianzi University School of Electronics and Information Engineering Hangzhou311121 China

This paper introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine learning (ML) applications within the logic synthesis process. Previous dataset generation flows were tailored for specific tasks or lacked integrated ML capabilities. While OpenLS-DGF supports various machine learning tasks by encapsulating the three fundamental steps of logic synthesis: Boolean representation, logic optimization, and technology mapping. It preserves the original information in both Verilog and ML-friendly GraphML formats. The Verilog files offer semi-customizable capabilities, enabling researchers to insert additional steps and incrementally refine the generated dataset. Furthermore, OpenLS-DGF includes an adaptive circuit engine that facilitates the final dataset management and downstream tasks. The generated OpenLS-D-v1 dataset comprises 46 combinational designs from established benchmarks, totaling over 966,000 Boolean circuits. OpenLS-D-v1 supports integrating new data features, making it more versatile for new tasks. This paper demonstrates the versatility of OpenLS-D-v1 through four distinct downstream tasks: circuit classification, circuit ranking, quality of results (QoR) prediction, and probability prediction. Each task is chosen to represent essential steps of logic synthesis, and the experimental results show the generated dataset from OpenLSDGF achieves prominent diversity and applicability. The source code and datasets are available at https://***/Logic-Factory/ACE/blob/master/OpenLS-DGF. © 1982-2012 IEEE.

关键词： Information management

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Several splittings for non-Hermitian linear systems

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Science China Mathematics 2008年第8期51卷 1339-1348页

作者： BAI Zhong-Zhi state key laboratory of scientific/engineering computing,Institute of Computational Mathematics and scientific/engineering computing,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,P.O.Box 2719,Beijing 100080,China 1. State Key Laboratory of Scientific/Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences P.O. Box 2719 Beijing 100080 China

For large sparse non-Hermitian positive definite system of linear equations, we present several variants of the Hermitian and skew-Hermitian splitting (HSS) about the coefficient matrix and establish correspondingly several HSS-based iterative schemes. Theoretical analyses show that these methods are convergent unconditionally to the exact solution of the referred system of linear equations, and they may show advantages on problems that the HSS method is ineffective.

关键词： Hermitian and skew-Hermitian splitting non-Hermitian linear system splitting iterative scheme convergence 65F10 65F15 65F50 65N22

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