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

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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An anonymous key agreement protocol with robust authentication for smart grid infrastructure

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Science China(Information Sciences) 2022年第9期65卷 291-293页

作者： Ting CHEN Qingfeng CHENG Xinghua LI School of Cyber Engineering Xidian University State Key Laboratory of Mathematical Engineering and Advanced Computing

Dear editor,The issue on how to ensure the smart grid environment’s security and reliability has always been a focus in current research. The rapid expansion of the Internet of Things enables billions of smart devices to be involved in the smart grid, such as smart meters, who play a part in monitoring and recording consumers’ power usage. The smart meter first amasses the information of energy consumption and then sends it to utility control.

关键词： smart grid infrastructure impersonation attack perfect forward security ephemeral key compromise attack key agreement

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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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An enhanced key exchange protocol exhibiting key compromise impersonation attacks resistance in mobile commerce environment

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Science China(Information Sciences) 2021年第9期64卷 249-251页

作者： Ting CHEN Xinghua LI Qingfeng CHENG School of Cyber Engineering Xidian University State Key Laboratory of Mathematical Engineering and Advanced Computing

Dear editor,Numerous three-party authenticated key exchange(3 PAKE)protocols have been presented, which allow the establishment of a secure session by utilizing a session key shared between two clients with the assistance of a server trusted by both the clients via an unprotected network communication environment. The 3 PAKE protocols can be applied to various scenarios, including mobile commerce environment.

关键词： three-party authentication key exchange key compromise impersonation attack mobile-commerce environments security analysis

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Study on the Influence and Contribution Rates of Field Aging Factors on Rheological Performance of Bitumen

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Materials 2025年第8期18卷 1775页

作者： Song, Shanglin Zhu, Yunding Wang, Zhen Gao, Ziyang Guo, Meng Huang, Jing Jiang, Xiaoqiang Gansu Provincial Highway Development Group Co. Ltd. Lanzhou730070 China Scientific Observation and Research Base of Transport Industry of Long Term Performance of Highway Infrastructure in Northwest Cold and Arid Regions Dunhuang736200 China State Key Laboratory of Bridge Engineering Safety and Resilience Beijing University of Technology Beijing100124 China The Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing100124 China Beijing Municipal Road and Bridge Building Materials Group Co. Ltd. Beijing100176 China College of Materials Science and Engineering Nanjing Tech University Nanjing211816 China

laboratory simulation of aging cannot restore the complex aging behavior of bitumen well. The objective of study is to reveal the role of various field aging factors on the aging process of virgin bitumen and SBS(Styrene–Butadiene–Styrene)-modified bitumen. The influence of different field aging factors on aging behavior of virgin bitumen and SBS-modified bitumen were discussed. To achieve this goal, three different field aging styles were used to carry out field aging of virgin bitumen and SBS-modified bitumen. The aging behavior of the two types of bitumen were characterized based on rheological performance, and the influence degree of various aging factors on the rheological performance of bitumen was quantitatively analyzed through the contribution rates. The findings indicated that field aging had an obvious influence on the rheological performance of the two types of bitumen, which showed that the complex modulus, G-R parameter and stiffness modulus increased, and creep rate decreased. The contribution rates significantly indicated the degree of influence of hot oxygen, light and other factors (wind, water, dust, etc.) on the two types of bitumen. Among them, hot oxygen was the main factor leading to the aging of two types of bitumen. The virgin bitumen was not sensitive to aging caused by light, and the aging of SBS-modified bitumen was greatly affected by light. Other field aging factors (wind, water, dust, etc.) led to the aging of virgin bitumen to a certain extent, but inhibited the aging of SBS-modified bitumen. © 2025 by the authors.

关键词： Kerogen

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Vegetation and wind speed dominate precipitation-evaporation recycling processes during 1980–2021

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Science Bulletin 2025年

作者： Wang, Yiying Miao, Chiyuan Zhang, Qi Su, Jiajia Gou, Jiaojiao Duan, Qingyun Borthwick, Alistair GL State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical Science Beijing Normal University Beijing100875 China College of Hydrology and Water Resources Hohai University Nanjing210098 China School of Engineering The University of Edinburgh EdinburghEH9 3JL United Kingdom School of Engineering Computing and Mathematics University of Plymouth PlymouthPL4 8AA United Kingdom

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Potential negative friction coefficient predicted by first-principles calculations: A possible consequence of inaccurate computational models

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Physical Review B 2025年第5期111卷 054109-054109页

作者： Yu Cao Zhenghua Zhao Qiuchen Lv Xinjian Dong Yuan Niu Wenhao He Yunfeng Wang Zhibin Lu School of Materials Science and Engineering Lanzhou Jiaotong University Lanzhou 730070 China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou 730000 China Petrochina Lanzhou Lube Oil R&D Institute Lanzhou 730000 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China College of Materials and Engineering Chongqing University of Arts and Sciences Chongqing 402160 China Scientific Data Center Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou 730000 China

The groundbreaking discovery of a negative friction coefficient (NCOF) challenges the long-held classic Amonton's law, ushering in fresh perspectives for comprehending and manipulating friction. Nevertheless, contradictory results about the NCOF have been recently reported by static first-principles calculations, which could foster misconceptions regarding the fundamental physics underlying this intriguing phenomenon. Here, we identify that disparities in computational models used in static friction calculations serve as the pivotal factor causing these inconsistencies through meticulous reproduction and comparison of the contradictory results. Specifically, the NCOF predicted by static first-principles in two-dimensional lamellar materials result from the overlooking of the pivotal role of the work done by the load during sliding. We further verify the indispensability of the work done by the load through theoretically scrutinizing the sliding process under constant load and under constant distance. Our findings propose a correct way for computing friction forces with static simulations, thereby advancing the scientific understanding and practical applications of frictional behavior in various materials systems.

关键词： Friction

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Measurement-Based Non-Stationary Markov Tapped Delay Line Channel Model for 5G-Railways

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IEEE Antennas and Wireless Propagation Letters 2025年

作者： Zhang, Xuejian He, Ruisi Yang, Mi Ding, Jianwen Chen, Ruifeng Gao, Shuaiqi Qi, Ziyi Zhang, Zhengyu Ai, Bo Zhong, Zhangdui Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation The School of Electronics and Information Engineering The Frontiers Science Center for Smart High-speed Railway System Beijing100044 China Beijing Jiaotong University School of Electronics and Information Engineering Beijing100044 China Henan High Speed Railway Operation and Maintenance Engineering Research Center Zhengzhou451460 China China Academy of Railway Sciences Corporation Ltd. Institute of Computing Technology Beijing100081 China

5 G for Railways (5G-R) is globally recognized as a promising next-generation railway communication system designed to meet increasing demands. Channel modeling serves as foundation for communication system design, with tapped delay line (TDL) models widely utilized in system simulations due to their simplicity and practicality and serves as a crucial component of various standards like 3GPP. However, existing TDL models applicable to 5G-R systems are limited. Most fail to capture non-stationarity, a critical characteristic of railway communications, while others are unsuitable for the specific frequency bands and bandwidths of 5G-R. In this paper, a channel measurement campaign for 5G-R dedicated network is carried out, resulting in a measurement-based 5-tap TDL model utilizing a first-order two-state Markov chain to represent channel non-stationarity. key model parameters, including number of taps, statistical distribution of amplitude, phase and Doppler shift, and state transition probability matrix, are extracted. The correlation between tap amplitudes is also obtained. Finally, the accuracy of model is validated through comparisons with measurement data and 3GPP model. These findings are expected to offer valuable insights for design and link-level simulation of 5G-R systems. © 2025 IEEE.

关键词： Markov chains

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