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On Strong Secrecy for Multiple Access Channels With States and Causal CSI

IEEE Transactions on Information Theory 2025年第4期71卷 3070-3099页

作者： Chen, Yiqi Oechtering, Tobias J. Skoglund, Mikael Luo, Yuan Technical University of Munich Chair of Theoretical Information Technology Munich80333 Germany Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China KTH Royal Institute of Technology Division of Information Science and Engineering School of Electrical Engineering and Computer Science Stockholm100 44 Sweden Shanghai Key Laboratory of Trusted Data Circulation and Governance and Web3 Shanghai200240 China

Strong secrecy communication over a discrete memoryless state-dependent multiple access channel (SD-MAC) with an external eavesdropper is investigated. The channel is governed by discrete memoryless and i.i.d. channel states, and the channel state information (CSI) is revealed to the encoders in a causal manner. The main results of this paper are inner and outer bounds of the capacity region, for which we investigate coding schemes incorporating wiretap coding and secret key agreements between the sender and the legitimate receiver. Two kinds of block Markov coding schemes are proposed. The first is a new coding scheme that uses backward decoding and the Wyner-Ziv coding, and the secret key is constructed from a lossy description of the CSI. The other is an extended version of an existing coding scheme for point-to-point wiretap channels with causal CSI. A numerical example shows that the achievable region given by the first coding scheme can be strictly larger than the second one. However, these two schemes do not outperform each other in general, and there exist some numerical examples in which each coding scheme achieves some rate pairs that cannot be achieved by another scheme. Our established inner bound reduces to some best-known results in the literature as special cases. We further investigate some capacity-achieving cases for state-dependent multiple access wiretap channels (SD-MAWCs) with degraded message sets. It turns out that the two coding schemes are both optimal in these cases. © 1963-2012 IEEE.

关键词： Markov processes

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Characteristics of Forward Stimulated Brillouin Scattering Temperature Sensor Based on Single Mode PbS-doped Optical Fiber 4

Characteristics of Forward Stimulated Brillouin Scattering T...

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4th International Computational Imaging Conference, CITA 2024

作者： Chen, Yu Li, Yichun Zhang, Liang Dong, Yanhua Dong, Qianni Wen, Jianxiang Zhu, Mengshi Wei, Heming Pang, Fufei Wang, Tingyun Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China

ISBN: (纸本)9781510688834

Forward stimulated Brillouin scattering (FSBS) has garnered increasing attention owing to its ability to sense the surrounding environment through photon-phonon interaction between optical waves and guided transverse acoustic resonances. Compared to conventional standard single mode fibers (SSMFs), the utilization of specialty fibers with diverse fiber core/cladding geometries (e.g., thin-diameter fibers, large effective area fibers, few mode fibers, and photonic crystal fibers) offers striking opportunities to enhance the FSBS interaction and diversify its functionality. In this work, temperature sensing characteristics of FSBS in single mode PbS-nanoparticle-doped optical fiber (PbSF) have been experimentally investigated. A piece of home-made single mode PbSF fiber with enlarged refractive index difference between the fiber cladding and PbS nanoparticles doped fiber core is fabricated, exhibiting a mode field diameter of 7.9 μm which hence allows for intensified optical field confinement with respect to conventional SSMFs. Results show that the intensity of high order FSBS resonant peaks of PbSF is greater than that of SSMF by more than ten-fold enhancement. By increasing and decreasing the ambient temperature, it is confirmed that the PbSF-based FSBS sensor exhibits a temperature sensitivity of 78.38 kHz/℃ at the highest 19th order of FSBS acoustic resonance. In our experiments, a minimum temperature resolution of 0.20 ℃ at the 15th order of acoustic resonance was detected. These findings indicate that the utilization of PbSF, instead of SSMF, as the sensing element in FSBS-based sensors would be beneficial to achieve high-performance temperature measurement. © 2025 SPIE.

关键词： Stimulated Brillouin scattering

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On construction of strong orthogonal arrays and column-orthogonal strong orthogonal arrays of strength two plus

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science China Mathematics 2025年第5期68卷 1219-1242页

作者： Bochuan Jiang Yaping Wang Fasheng Sun School of Mathematics and Statistics Beijing Jiaotong UniversityBeijing100044China Key Laboratory of Advanced Theory and Application in Statistics and Data Science Ministry of EducationSchool of StatisticsEast China Normal UniversityShanghai200062China Key Laboratory for Applied Statistics of Ministry of Education and School of Mathematics and Statistics Northeast Normal UniversityChangchun130024China

Computer experiments require space-filling designs with good low-dimensional projection *** orthogonal arrays are a type of space-filling design that provides better stratifications in low dimensions than ordinary orthogonal *** this paper,we address the problem of constructing strong orthogonal arrays and column-orthogonal strong orthogonal arrays of strength two *** methods typically rely on regular designs or specific nonregular designs as base orthogonal arrays,limiting the sizes of the final ***,we propose two general methods that are easy to implement and applicable to a wide range of base orthogonal *** methods produce space-filling designs that can accommodate a large number of factors,provide significant flexibility in terms of run sizes,and possess appealing low-dimensional projection ***,these designs are ideal for computer experiments.

关键词： computer experiment difference scheme strong orthogonal array column-orthogonality space-filling property

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MSGNN: Masked Schema based Graph Neural Networks 51st

MSGNN: Masked Schema based Graph Neural Networks

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51st International Conference on Very Large data Bases, VLDB 2025

作者： Liu, Hao Yang, Qianwen Cui, Taoyong Wang, Wei Fudan University Zhuhai Fudan Innovation Institute Shanghai Key Laboratory of Data Science China Fudan University China Tsinghua University China

Heterogeneous graph representation learning aims to extract low dimensional node representations from complex networks with different types of entities and relationships. With the prevalence of heterogeneous information networks (HINs) in real-world scenarios, it is of vital significance for a network embedding model to handle heterogeneity and capture as much semantic information as possible. Existing works can be roughly categorized into meta path-based and adjacent matrix-based methods depending on their definition of node neigh borhoods. Meta-path-based methods aim to capture semantic similarities but require manual design. Adjacent matrix-based methods focus on structural information but may risk losing semantic context. In this work, we propose using schema instances representing node minimal complete contexts to embed HINs, aiming to integrate the advantages of both methods and avoid their deficiencies. We introduce Masked Schema based Graph Neural Networks (MSGNN), which combines schema instances with bi-level self-supervised learning and mask technique to acquire effective context representations. Furthermore, we propose a decomposition-reconstruction schema instance retrieval strategy to ensure efficient instance searching. Comprehensive experiments demonstrate that MSGNN outperforms state-of-the-art models. In the link prediction task, the F1-score has improved by up to 16.08%compared to the suboptimal method. © 2025, VLDB Endowment, All rights reserved.

关键词： Graph neural networks

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Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation

Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabu...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Zhang, Shuo Huang, Jiaming Wu, Yan Hu, Tao Tang, Wenbing Liu, Jing Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Huolala Shenzhen China College of Computing and Data Science Nanyang Technological University Singapore

ISBN: (纸本)9798350368741

Open-vocabulary semantic segmentation (OVSS) is a challenging computer vision task that labels each pixel within an image based on text descriptions. Recent advancements in OVSS are largely attributed to the increased model capacity. However, these models often struggle with unfamiliar images or unseen text, as their visual language understanding is limited to training data. Text-to-image (T2I) diffusion models have demonstrated strong image generation with diverse open-vocabulary descriptions. It prompted us to explore whether the comprehensive priors in T2I diffusion models could enhance the zero-shot generalization of OVSS. In this study, we define OVSS as a denoising diffusion task from noisy to object mask and introduce Seg-diffusion, a novel method based on Stable Diffusion that utilizes its extensive visual and linguistic prior knowledge. Specifically, the object mask diffuses from ground-truth to a random distribution in latent space. The model learns to reverse this noisy process to reconstruct object mask to segment objectives using text embeddings with our proposed Content Attention Module (CAM). Extensive experiments on popular OVSS benchmarks show that Seg-diffusion outperforms previous well-established methods and achieves impressive zero-shot generalization to unseen datasets. © 2025 IEEE.

关键词： content attention module fine-tuning protocol open-vocabulary semantic segmentation text-to-image LDM

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Fabrication and Characteristics of Long-Period Gratings in the D-shaped Double Cladding Fiber

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IEEE Photonics Technology Letters 2025年第14期37卷 801-804页

作者： Li, Chengyang Chen, Siyu Ma, Yuehui Fan, Xiaolong Chen, Lu Jiang, Chen Mou, Chengbo Liu, Yunqi Shanghai University Key Laboratory of Specialty Fiber Optics and Optical Access Networks the Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai200444 China Nanjing210023 China

We demonstrated the fabrication of long-period fiber gratings (LPFGs) inscribed in the D-shaped double-cladding fiber (DCF) using CO2 laser. The phase-matching curves of D-shaped DCF-LPFGs (D-DCF-LPFGs) with different polishing depths were investigated numerically and experimentally. Compared to the conventional LPFGs, the surrounding refractive index (SRI) and twist sensitivities of the D-DCF-LPFGs increase with the polishing depth. The maximum SRI and twist sensitivities are -3992.75 nm/RIU and -0.490 nm/(rad/m), respectively, which are much higher than that of the LPFGs inscribed in the unpolished DCF. The D-DCF-LPFGs could serve as promising candidates for sensor development. © 1989-2012 IEEE.

关键词： Textile fibers

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Simultaneous temperature and strain sensing based on a supermode interferometer

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Chinese Optics Letters 2025年第1期23卷 48-54页

作者： Zhifeng Wang Jing Wen Mengshi Zhu Heming Wei Liang Zhang Fufei Pang Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced CommunicationShanghai Institute for Advanced Communication and Data ScienceShanghai UniversityShanghai 200444China

A novel Mach–Zehnder interferometer(MZI)sensor based on multiple supermode interferences that can be used for dualparameter measurements of temperature and strain is proposed and *** MZI is made by splicing a coupled four-core sapphire-derived fiber(FSDF)between two single-mode fibers,utilizing the differences in temperature response and strain response of different supermodes in the FSDF to realize the simultaneous measurement of the two *** results demonstrate that the proposed MZI can achieve up to 1600μεand 1000°C measurements with a temperature-strain cross-sensitivity of approximately 0.075°C/με.

关键词： supermode dual-parameter measurement fiber optic sensor Mach-Zehnder interferometer

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Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And database Schema With Pseudo-Schema 31

Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language ...

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31st International Conference on Computational Linguistics, COLING 2025

作者： Shi, Jie Xu, Bo Liang, Jiaqing Xiao, Yanghua Chen, Jia Xie, Chenhao Wang, Peng Wang, Wei Shanghai Key Laboratory of Data Science School of Computer Science Fudan University China School of Computer Science and Technology Donghua University China School of Data Science Fudan University China SenseDeal Intelligent Technology Co. Ltd. China

ISBN: (纸本)9798891761964

With the prevalence of Large Language Models (LLMs), recent studies have shifted paradigms and leveraged LLMs to tackle the challenging task of Text-to-SQL. Because of the complexity of real world databases, previous works adopt the retrieve-then-generate framework to retrieve relevant database schema and then to generate the SQL query. However, efficient embedding-based retriever suffers from lower retrieval accuracy, and more accurate LLM-based retriever is far more expensive to use, which hinders their applicability for broader applications. To overcome this issue, this paper proposes Gen-SQL, a novel generate-ground-regenerate framework, where we exploit prior knowledge from the LLM to enhance embedding-based retriever and reduce cost. Experiments on several datasets are conducted to demonstrate the effectiveness and scalability of our proposed method. We release our code and data at https://***/jieshi10/gensql. © 2025 Association for Computational Linguistics.

关键词： Structured Query Language

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Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation 25

Oracle-guided Dynamic User Preference Modeling for Sequentia...

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18th ACM International Conference on Web Search and data Mining, WSDM 2025

作者： Xia, Jiafeng Li, Dongsheng Gu, Hansu Lu, Tun Zhang, Peng Shang, Li Gu, Ning Fudan University Shanghai China Microsoft Research Asia Shanghai China Amazon Seattle United States School of Computer Science Shanghai Key Laboratory of Data Science Fudan University Shanghai China Fudan Institute on Aging MOE Laboratory for National Development and Intelligent Governance Shanghai Institute of Intelligent Electronics & Systems Fudan University Shanghai China

ISBN: (纸本)9798400713293

Sequential recommendation methods can capture dynamic user preferences from user historical interactions to achieve better performance. However, most existing methods only use past information extracted from user historical interactions to train the models, leading to the deviations of user preference modeling. Besides past information, future information is also available during training, which contains the "oracle" user preferences in the future and will be beneficial to model dynamic user preferences. Therefore, we propose an oracle-guided dynamic user preference modeling method for sequential recommendation (Oracle4Rec), which leverages future information to guide model training on past information, aiming to learn "forward-looking" models. Specifically, Oracle4Rec first extracts past and future information through two separate encoders, then learns a forward-looking model through an oracle-guiding module which minimizes the discrepancy between past and future information. We also tailor a two-phase model training strategy to make the guiding more effective. Extensive experiments demonstrate that Oracle4Rec is superior to state-of-the-art sequential methods. Further experiments show that Oracle4Rec can be leveraged as a generic module in other sequential recommendation methods to improve their performance with a considerable margin. © 2025 Copyright held by the owner/author(s).

关键词： dynamic user preference modeling

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In-depth development of temperature insensitive refractive index Fabry-Perot optical sensor 2

In-depth development of temperature insensitive refractive i...

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2nd International Conference on Optical Communication and Optical Information Processing, OCOIP 2024

作者： Gao, Yuda Luo, Yanhua Institute of Fiber Optics Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China

ISBN: (数字)9781510688995

ISBN: (纸本)9781510688988

Sensors based on optical fiber interference structures offer benefits such as high sensitivity, simple fabrication and good compatibility, and are widely used in fields like biological monitoring, chemical engineering, and environmental monitoring. However, these sensors often face unavoidable cross-sensitivity issues between temperature and refractive index. Therefore, developing a new optical fiber refractive index sensor that is insensitive to temperature and has a broad refractive index measurement range remains a significant research issue. In this work, proposing a temperature-insensitive refractive index sensor featuring a two-stage Fabry-Perot (F-P) cavity made from single-mode fiber (SMF), capillary fiber (CF), and no core fiber (NCF) based on the principle of mode interference. The research experimentally investigates the sensor's sensitivity to temperature and refractive index. Results indicate that the sensor's amplitude correlates linearly with the refractive index in both optical and Fourier domains, covering a refractive index range of 1.3164 to 1.4215. In the Fourier domains, sensitivities of - 0.7184/refractive index unit (RIU) and - 0.2672/RIU are recorded at two distinct positions, respectively. A direct relationship between the amplitude and the refractive index is established. Additionally, the proposed sensor is almost insensitive to temperature in both the wavelength and Fourier domains. At the same time, experimental validation using water, ethanol, isopropanol, and glycerin solutions with varying refractive indexes, yielding results that align well with the established refractive index relationship. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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