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Time and Location Aware Points of Interest Recommendation inLocation-Based Social Networks

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Journal of Computer Science & Technology 2018年第6期33卷 1219-1230页

作者： tie-yun Qian Bei Liu Liang Hong Zhen-Ni You School of Computer Science Wuhan University Wuhan 430072 China SchooI of Information Management Wuhan University Wuhan 430072 China

The wide spread of location-based social networks brings about a huge volume of user check-in data, whichfacilitates the recommendation of points of interest （POIs）. Recent advances on distributed representation shed light onlearning low dimensional dense vectors to alleviate the data sparsity problem. Current studies on representation learningfor POI recommendation embed both users and POIs in a common latent space, and users＇ preference is inferred basedon the distance/similarity between a user and a POI. Such an approach is not in accordance with the semantics of usersand POIs as they are inherently different objects. In this paper, we present a novel translation-based, time and locationaware （TransTL） representation, which models the spatial and temporal information as a relationship connecting users andPOIs. Our model generalizes the recent advances in knowledge graph embedding. The basic idea is that the embedding ofa 〈time, location〉 pair corresponds to a translation from embeddings of users to POIs. Since the POI embedding shouldbe close to the user embedding plus the relationship vector, the recommendation can be performed by selecting the top-kPOIs similar to the translated POI, which are all of the same type of objects. We conduct extensive experiments on tworeal-world ***. The results demonstrate that our TransTL model achieves the state-of-the-art performance. It is alsomuch more robust to data sparsity than the baselines.

关键词： point of interest (POI) recommendation, location-based social network (LBSN), time and location aware

A transformer generative adversarial network for multi-track music generation

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CAAI Transactions on Intelligence Technology 2022年第3期7卷 369-380页

作者： Cong Jin Tao Wang Xiaobing Li Chu Jie Jiessie tie yun tie Shan Liu Ming Yan Yongzhi Li Junxian Wang Shenze Huang School of Information and Communication Engineering Communication University of ChinaBeijingChina School of Information and Engineering Zhengzhou UniversityZhengzhouChina Central Conservatory of Music BeijingChina Department of computer Science University of TorontoTorontoCanada School of Data Science and Media Intelligence Communication University of ChinaBeijingChina School of Light Industry and Engineering South China University of TechnologyGuangzhouChina School of Animation and Digital Arts Communication University of ChinaBeijingChina

This study proposes a new generation network based on transformers and guided by the music theory to produce high-quality music *** this study,the decoding block of the transformer is used to learn the internal information of single-track music,and cross-track transformers are used to learn the information amongst the tracks of different musical instruments.A reward network based on the music theory is proposed,which optimizes the global and local loss objective functions while training and discriminating the network so that the reward network can provide a reliable adjustment method for the generation of the *** method of combining the reward network and cross entropy loss is used to guide the training of the generator and produce high-quality music *** with other multi-track music generation models,the experimental results verify the validity of the model.

关键词： artificial intelligence deep learning multimedia

Guest Editorial:Special issue on media convergence and intelligent technology in the metaverse

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CAAI Transactions on Intelligence Technology 2023年第2期8卷 285-287页

作者： Siwei Ma Maoguo Gong Guojun Qi yun tie Ivan Lee Bo Li Cong Jin Peking University BeijingChina Xidian University XianChina Futurewei Technologies Santa ClaraCaliforniaUSA University of Central Florida OrlandoFloridaUSA Zhengzhou University ZhengzhouChina University of South Australia AdelaideSouth AustraliaAustralia Northwestern Polytechnical University Xi'anChina Communication University of China BeijingChina

The metaverse is a new type of Internet application and social form that integrates a variety of new technologies,including artificial intelligence,digital twins,block chain,cloud computing,virtual reality,robots,with brain-computer interfaces,and *** convergence technology is a systematic and comprehensive discipline that applies the theories and methods of modern science and technology to the development of media innovation,mainly including multimedia creation,production,communication,service,consumption,reproduction and so *** emergence of new technologies,such as deep learning,distributed computing,and extended reality has promoted the development of media integration in the metaverse,and these technologies are the key factors that promote the current transformation of the Internet to the metaverse.

关键词： multimedia computer artificial

Novel THP algorithms with minimum BER criterion for MIMO broadcast communications

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The Journal of China Universities of Posts and Telecommunications 2009年第4期16卷 71-77页

作者： yun Xiang,L tie-jun School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China

In this article, two novel Tomlinson-Harashima precoding （THP） algorithms are proposed at the downlink broadcast channel of multi-user multiple-input multiple-output （MIMO） systems. The optimality criterion is the minimization of the bit error rate （BER） at the receiver with a constraint on the overall transmitted power. In these algorithms, transmit power allocation （TPA） matrix is introduced to the traditional THP algorithms as part of the precoding matrix. This leads to a power loading operation based on substreams signal to interference-plus-noise ratio （SINR） and results in improvement of the error rate performance compared with traditional THP algorithms. When the precoding loss factor is considered, further performance improvement is achieved by the enhanced algorithm.

关键词： MIMO system THP minimum bit-error rate (MBER) broadcast communication

Review Authorship Attribution in a Similarity Space

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Journal of Computer Science & Technology 2015年第1期30卷 200-213页

作者：钱铁云刘兵李青司建锋 State Key Laboratory of Software Engineering Wuhan University Wuhan 430072 China Department of Computer Science University of Illinois at Chicago Chicago 60607 U.S.A. Multimedia Software Engineering Research Centre and Department of Computer Science City University of Hong Kong Hong Kong China Data Analytics Department Institute for Infocomm Research Singapore 138632 Singapore

Authorship attribution, also known as authorship classification, is the problem of identifying the authors （reviewers） of a set of documents （reviews）. The common approach is to build a classifier using supervised learning. This approach has several issues which hurts its applicability. First, supervised learning needs a large set of documents from each author to serve as the training data. This can be difficult in practice. For example, in the online review domain, most reviewers （authors） only write a few reviews, which are not enough to serve as the training data. Second, the learned classifier cannot be applied to authors whose documents have not been used in training. In this article, we propose a novel solution to deal with the two problems. The core idea is that instead of learning in the original document space, we transform it to a similarity space. In the similarity space, the learning is able to naturally tackle the issues. Our experiment results based on online reviews and reviewers show that the proposed method outperforms the state-of-the-art supervised and unsupervised baseline methods significantly.

关键词： authorship attribution supervised learning similarity space

Demonstration of controlled high-dimensional quantum teleportation

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Science China(Physics,Mechanics & Astronomy) 2024年第3期67卷 1-6页

作者： Min-Yu Lv Xiao-Min Hu Neng-Fei Gong tie-Jun Wang Yu Guo Bi-Heng Liu yun-Feng Huang Chuan-Feng Li Guang-Can Guo CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Centerfor Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei230026China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China State Key Laboratory of Information Photonics and Optical Communications School of ScienceBeijing University of Posts and TelecommunicationsBeijing 100876China

Controlled quantum teleportation(CQT), which is regarded as the prelude and backbone for a genuine quantum internet, reveals the cooperation, supervision, and control relationship among the sender, receiver, and controller in the quantum network within the simplest unit. Compared with low-dimensional counterparts, high-dimensional CQT can exhibit larger information transmission capacity and higher superiority of the controller's authority. In this article, we report a proof-of-principle experimental realization of three-dimensional(3D) CQT with a fidelity of 97.4% ± 0.2%. To reduce the complexity of the circuit, we simulate a standard 4-qutrit CQT protocol in a 9×9-dimensional two-photon system with high-quality operations. The corresponding control powers are 48.1% ± 0.2% for teleporting a qutrit and 52.8% ± 0.3% for teleporting a qubit in the experiment, which are both higher than the theoretical value of control power in 2-dimensional CQT protocol(33%). The results fully demonstrate the advantages of high-dimensional multi-partite entangled networks and provide new avenues for constructing complex quantum networks.

关键词： high dimension quantum information quantum teleportation quantum nonlocality

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细胞骨架与胰岛素相关信号转导通路

生理科学进展 2008年第2期39卷 124-128页

作者：高娜赵铁耘四川大学华西医院内分泌科成都610041

细胞骨架是蛋白质纤维交织形成的立体网架体系,它是一个动态结构,可随着生理条件的改变不断进行组装和去组装,并受到细胞内外因素的调节。胰岛素是参与机体内诸多生理过程如葡萄糖转运、基因表达和DNA合成等的重要激素,而胰岛素的正常... 详细信息

细胞骨架是蛋白质纤维交织形成的立体网架体系,它是一个动态结构,可随着生理条件的改变不断进行组装和去组装,并受到细胞内外因素的调节。胰岛素是参与机体内诸多生理过程如葡萄糖转运、基因表达和DNA合成等的重要激素,而胰岛素的正常分泌是其功能发挥的重要前提。越来越多的研究表明,细胞骨架在胰岛素行使功能和胰岛素的分泌过程中起重要作用,其具体机制与胰岛素相关的信号转导通路密切相关。当细胞骨架成分发生改变,继而影响到胰岛素相关的信号转导过程时,就会影响胰岛素的分泌,同时会导致胰岛素抵抗的发生。

关键词：细胞骨架胰岛素信号通路

现代国际合法性:概念认知、分析维度及传播视野下的路径选择

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编辑之友 2019年第6期 48-56页

作者：张昆张铁云华中科技大学新闻与信息传播学院

面对频发的全球治理难题,近年来东西方学术界围绕国际社会中的合法性现象掀起了研究热潮。文章重点从概念认知、分析维度、路径选择三个方面把握现代国际合法性的本质与内涵等问题。在概念认知上,将合法性界定为两种状态:已然状态的国... 详细信息

面对频发的全球治理难题,近年来东西方学术界围绕国际社会中的合法性现象掀起了研究热潮。文章重点从概念认知、分析维度、路径选择三个方面把握现代国际合法性的本质与内涵等问题。在概念认知上,将合法性界定为两种状态:已然状态的国际合法性是一种结果,直观地彰显着国际大家庭成员对某个国家或某种国际行为的判断与认知;未然状态的国际合法性是一种过程,裹挟着政治逻辑、媒介逻辑与资本逻辑的交织博弈而往往充满着变动。关于国际合法性的分析维度,程序维度的分析需明晰单边主义与多边主义的差异,价值维度的分析需抵制用普世价值取代人类共同价值,功能维度的分析需注重发展中国家与发达国家责任的区别对待。为使行为体(国家)在国际社会获得最大程度的拥护与认同,本研究基于国际传播的视野简要探讨了一些可能的路径。

关键词：现代国际合法性概念认知分析维度提升路径国际传播

回归理论之维:重新确证国家形象生成中的非理性面向

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编辑之友 2021年第11期 63-69页

作者：张铁云张昆西安交通大学新闻与新媒体学院陕西西安710049 华中科技大学国家传播战略研究院湖北武汉430074

人不仅是一种理性的存在物,还是一种拥有欲望、情感和信仰的非理性存在物。作为一种主观见之于客观的活动,国家形象在根本处隶属于认识论范畴,在这一过程中并非只有理念立场、经验知识及媒介技术的参与,处于潜隐状态的非理性因素也时刻... 详细信息

人不仅是一种理性的存在物,还是一种拥有欲望、情感和信仰的非理性存在物。作为一种主观见之于客观的活动,国家形象在根本处隶属于认识论范畴,在这一过程中并非只有理念立场、经验知识及媒介技术的参与,处于潜隐状态的非理性因素也时刻共在并作用其间。然而,既往关涉国家形象的学术生产,却大抵是沿着"理性人"的先验逻辑展开的,相对疏忽了人性和文化结构中的非理性力量及其在国家形象生成中的介入,抑或注意到诉诸情感和信念较客观事实更能影响公众对国际议题的表达,但此种注意多停留于经验主义路径,超越实用主义和行政范式的理论思考则较为少见。基于此,文章回归理论视野,从非理性主义哲学和国际关系的学科知识出发,讨论国家形象生成中的非理性面向及其如何可能。

关键词：国家形象非理性非理性主义哲学国际关系理论确证