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61st Annual Meeting of the Association for Computational Linguistics, ACL 2023

作者： Hu, Beizhe Sheng, Qiang Cao, Juan Zhu, Yongchun Wang, Danding Wang, Zhengjia Jin, Zhiwei Key Lab of Intelligent Information Processing Chinese Academy of Sciences Institute of Computing Technology China University of Chinese Academy of Sciences China ZhongKeRuijian Technology Co. Ltd. China

ISBN: (纸本)9781959429685

Fake news detection has been a critical task for maintaining the health of the online news ecosystem. However, very few existing works consider the temporal shift issue caused by the rapidly-evolving nature of news data in practice, resulting in significant performance degradation when training on past data and testing on future data. In this paper, we observe that the appearances of news events on the same topic may display discernible patterns over time, and posit that such patterns can assist in selecting training instances that could make the model adapt better to future data. Specifically, we design an effective framework FTT (Forecasting Temporal Trends), which could forecast the temporal distribution patterns of news data and then guide the detector to fast adapt to future distribution. Experiments on the real-world temporally split dataset demonstrate the superiority of our proposed framework. The code is available at https://***/ICTMCG/FTT-ACL23. © ACL *** rights reserved.

关键词： Forecasting

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Skin color weighted disparity competition for hand segmentation from stereo camera

Skin color weighted disparity competition for hand segmentat...

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2010 21st British Machine Vision Conference, BMVC 2010

作者： Wang, Qi Chen, Xilin Gao, Wen Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Digital Media School of EE and CS Peking University Beijing China

ISBN: (纸本)1901725405

Hand segmentation is the basis of many vision-based hand gesture applications in human computer interaction (HCI). This paper proposes a novel method of skin color weighted disparity competition to incorporate the skin color and depth cues for hand segmentation in clutter environment from stereo camera. The basic idea is that the hand disparity will be apparently different from most of the background disparities. Note that we refer to the scene except the user as the background. The proposed method validates a hand pixel by verifying whether the pixel satisfies the disparity limit of the hand more than of the background. Its novelty lies in incorporating the skin color probability to weight the disparity competition to improve the robustness of validation and the accuracy of boundary location. Experiments demonstrate the efficiency of the proposed method. © 2010. The copyright of this document resides with its authors.

关键词： Pixels

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Parameter estimation of moving target based on linearly constrained space-time adaptive monopulse technique

Parameter estimation of moving target based on linearly cons...

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4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010

作者： Wu, Renbiao Wang, Lu Su, Zhigang Huang, Jingxiong Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China ATR Lab Intelligent Information Institute ShenZhen University Shenzhen 518060 China

ISBN: (纸本)9781424451272

Technique of space-time adaptive processing (STAP), which is usually employed by airborne radar to reject the ground clutter and jamming and at the same time, detect the ground moving targets, can not estimate the spatial-temporal parameters of the corresponding targets. Monopulse technique, as a mature method for parameter estimation can be used on airborne radar, however, the estimation performance of this method is dramatically effected by the ground clutter and jamming components present, even when these components falls into the mainbeam interval. By combining the STAP technique with the monopulse technique, a new method for estimating the spatial-temporal parameters of moving targets is proposed and referred as to LC-STAM in this paper. Additionally, the proposed method utilizes the beam null, monopulse slope, and decoupling constraints to remove the worse influence on the beam shape from the mainbeam clutter, maintain the characteristic of the monopulse ratio, and increase the veracity of parameter estimation. Simulation results illustrated that the LC-STAM method possesses the excellent estimation performance of the spatail-temporal parameters by comparing with the other similar methods. © 2010 IEEE.

关键词： Space time adaptive processing

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InSAR interferometric phase estimation based on correlation weight subspace projection

InSAR interferometric phase estimation based on correlation ...

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6th International Conference on Radar, RADAR 2011

作者： Li, Hai Wu, Renbiao Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China Intelligent Information Institute of ATR Lab Shenzhen University Shenzhen 518060 China

ISBN: (纸本)9781424484416

In this paper we propose a method to estimate the InSAR interferometric phase using the correlation weight subspace projection technique. In the method the correlation weight data vector is constructed, thus the noise subspace dimension of the corresponding covariance matrix will not be affected by the coregistration error, then avoiding the trouble of calculating the noise subspace dimension before estimating the InSAR interferometric phase. The method can auto-coregister the SAR images and reduce the interferometric phase noise simultaneously. The effectiveness of the method is verified via simulated data. © 2011 IEEE.

关键词： Covariance matrix

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STAP compensation technique based on homomorphic filtering in GPS

STAP compensation technique based on homomorphic filtering i...

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4th IEEE International Symposium on Phased Array Systems and Technology, Array 2010

作者： Wu, Renbiao Xu, Rulan Rulan, Dan Yu, Jianpin ATR Lab Intelligent Information Institute Shenzhen University Shenzhen 518060 China Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China

ISBN: (纸本)9781424451272

Space time adaptive processing (STAP) can be used to remove hostile jammers interfering for Global Positioning System (GPS) receivers, especially in the presence of jammer multipath. However, the STAP filter can bring in distortion to the GPS signal because it does not have a uniform frequency response across the operating band, which would dramatically reduce the accuracy of the users' position. Based on the homomorphic filtering a new method is proposed to compensate the distortion caused by the STAP filter. Finally, simulation results show the proposed method is effective. © 2010 IEEE.

关键词： Jamming

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Crashed plane detection based on the fusion of CFAR detection and polarimetric decomposition

Crashed plane detection based on the fusion of CFAR detectio...

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6th International Conference on Radar, RADAR 2011

作者： Han, Ping Ge, Peng Wu, Renbiao Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin 300300 China Intelligent Information Institute of ATR Lab Shenzhen University Shenzhen 518060 China

ISBN: (纸本)9781424484416

Aiming at the problem of high false alarm rate and missing rate with single detection method, an improved target detection algorithm for crashed plane detection is proposed in this paper. The method firstly detects the possible existence of the crashed plane with Yamaguchi decomposition and Constant False Alarm Rate (CFAR). Then, the detection results of the two methods are processed by pre-determination, and the final result is achieved by fusion and complementary detection. Simulation experimental results with real polarimetric data from NASA/JPL UAVSAR system demonstrate that the proposed method decreases the false alarm rate and missing rate effectively. © 2011 IEEE.

关键词： Synthetic aperture radar

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OMEG: Oulu multi-pose eye gaze dataset 19th

OMEG: Oulu multi-pose eye gaze dataset

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19th Scandinavian Conference on Image Analysis, SCIA 2015

作者： He, Qiuhai Hong, Xiaopeng Chai, Xiujuan Holappa, Jukka Zhao, Guoying Chen, Xilin Pietikäinen, Matti Department of Computer Science and Engineering University of Oulu Oulu Finland Key Lab of Intelligent Information Processing of the Chinese Academy of Sciences The Institute of Computing Technology of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783319196640

Data is in a very important position for pattern recognition tasks including eye gaze estimation. In the literature, most researchers used normal face datasets, which are not specifically designed for eye gaze estimation. As a result, it is difficult to obtain fine labeled eye gaze direction. Therefore large datasets with well-defined gaze directions are desired. To facilitate related researches, we collect and establish the Oulu Multi-pose Eye Gaze Dataset. Inspired by the psychological observation that gaze direction is intrinsically linked with the head orientation, we are devoted to a new data set of eye gaze images captured under multiple head poses. It finally results in a dataset containing over 40K images from 50 subjects, who were asked to fixate on 10 special points on screen under different poses respectively. We investigate a new eye gaze estimation approach by using the IGO based description, and compare it with other popular eye gaze estimation approaches to provide the baseline results on our dataset. © Springer International Publishing Switzerland 2015.

关键词： Pattern recognition

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From use case model to service model: An environment ontology based approach

From use case model to service model: An environment ontolog...

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International Conference on Grid and Cloud computing

作者： Zhao, Bin Cai, Guangjun Jin, Zhi Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Graduate University of the Chinese Academy of Sciences Beijing China Software Engineering Institute Peking University Beijing China

ISBN: (纸本)9780769543130

One fundamental problem in services computing is how to bridge the gap between business requirements and various heterogeneous IT services. This involves eliciting business requirements and building a solution accordingly by reusing available services. While the business requirements are commonly elicited through use cases and scenarios, it is not straightforward to transform the use case model into a service model, and the existing manual approach is cumbersome and error-prone. In this paper, the environment ontology, which is used to model the problem space, is utilized to facilitate the model transformation process. The environment ontology provides a common understanding between business analysts and software engineers. The required software functionalities as well as the available services' capabilities are described using this ontology. By semi-automatically matching the required capability of each use case to the available capabilities provides by services, a use case is realized by that set of services. At the end of this paper, a fictitious case study was used to illustrate how this approach works. © 2010 IEEE.

关键词： Ontology

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Understanding taxi drivers＇ routing choices from spatial and social traces

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Frontiers of Computer Science 2015年第2期9卷 200-209页

作者： Siyuan LIU Shuhui WANG Ce LIU Ramayya KRISHNAN Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China University of Chinese Academy of Sciences Beijing 100049 China Heinz CoUege Carnegie Mellon University Pittsburgh PA 15213 USA Key Lab of Intellectual Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Information Sciences University of Pittsburgh Pittsburgh PA 15260 USA

Most of our learning comes from other people or from our own experience. For instance, when a taxi driver is seeking passengers on an unknown road in a large city, what should the driver do？ Alternatives include cruising around the road or waiting for a time period at the roadside in the hopes of finding a passenger or just leaving for another road enroute to a destination he knows （e.g., hotel taxi rank）？ This is an interesting problem that arises everyday in cities all over the world. There could be different answers to the question poised above, but one fundamental problem is how the driver learns about the likelihood of finding passengers on a road that is new to him （as he has not picked up or dropped off passengers there before）. Our observation from large scale taxi driver trace data is that a driver not only learns from his own experience but through interactions with other drivers. In this paper, we first formally define this problem as socialized information learning （SIL）, second we propose a framework including a series of models to study how a taxi driver gathers and learns information in an uncertain environment through the use of his social network. Finally, the large scale real life data and empirical experiments confirm that our models are much more effective, efficient and scalable that prior work on this problem.

关键词： routing choices socialized information learn-ing social network

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Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing computing Framework for the Metaverse

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2024年第2期9卷 711-724页

作者： Li, Chunpei Liu, Chen Liu, Peng Li, Xianxian Qiu, Wangjie Lei, Lei Jin, Yanli Guangxi Normal University Key Laboratory of Educational Blockchain and Intelligent Technology Ministry of Education Guangxi Key Lab of Multi-Source Information Mining and Security Guilin541004 China Zhongguancun Laboratory China Beihang University Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing China

Mobile Edge computing (MEC) enables Metaverse Terminal Devices (MTD) to perform complex tasks, including graphic rendering and physical simulation, by leveraging low-latency outsourced computing. However, existing research has not fully addressed the challenge of establishing an efficient outsourced computing service within an open and dynamic MEC environment that simultaneously ensures privacy and accountability. To address this, we proposes a blockchain-based privacy-preserving and accountable mobile edge outsourcing computing framework for the Metaverse, termed Meta-BMEOC. Specifically, we have designed an outsourcing computing protocol based on smart contracts and threshold secret sharing, enabling MTD to outsource tasks to multiple edge servers while preserving privacy. Furthermore, we have developed an off-chain smart contract protocol based on a Trusted Execution Environment. This protocol is designed to reduce the risk of malicious edge servers colluding to reconstruct the computational tasks of MTD, and it enables accountability for servers that return erroneous results. Additionally, we designed an incentive mechanism to resist malicious attacks and ensure system security and stability. Security analysis and experimental evaluation show that Meta-BMEOC not only ensures the privacy and accountability of outsourced computing but also provides outsourced computing services with lower computational latency. © 2017 IEEE.

关键词： Differential privacy

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