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第五屆國際計算機(jī)前沿大會（ICPCSEE2019）（http://2019.icpcsee.org）將于2019年9月20日-23日在中國·桂林舉行。本屆大會由國際計算機(jī)前沿大會學(xué)術(shù)委員會主辦；桂林理工大學(xué)、桂林電子科技大學(xué)、中科國鼎數(shù)據(jù)科學(xué)研究院聯(lián)合承辦；ACM China、IEEE、廣西師范大學(xué)、廣西科技大學(xué)等單位協(xié)辦。

大會特邀報告

ABSTRACT

人工智能最近獲得了各個領(lǐng)域的廣泛關(guān)注，在多個領(lǐng)域多個應(yīng)用獲得了巨大的成功。在這個報告中我將分享在近年來人工智能浪潮下物聯(lián)網(wǎng)新的研究熱點。物聯(lián)網(wǎng)作為信息系統(tǒng)向物理世界的延伸，極大拓展了人類認(rèn)知和控制物理世界的能力，已經(jīng)被稱為繼計算機(jī)和互聯(lián)網(wǎng)之后的世界信息產(chǎn)業(yè)的第三次浪潮，正在深刻地改變著人類的生存環(huán)境和生活方式。物聯(lián)網(wǎng)的核心任務(wù)是無處不在的數(shù)據(jù)感知、以無線為主的數(shù)據(jù)傳輸以及智能化的數(shù)據(jù)處理。在這個報告中，我將和大家分享最新的物聯(lián)網(wǎng)的一些研究和挑戰(zhàn)，尤其是大規(guī)模無線傳感器網(wǎng)絡(luò)，基于RFID的無源感知，最新的無源感知及無源無線網(wǎng)絡(luò)方面的科研和發(fā)現(xiàn)，和物聯(lián)網(wǎng)的一些安全挑戰(zhàn)問題。

ABSTRACT

互聯(lián)網(wǎng)已經(jīng)和經(jīng)濟(jì)系統(tǒng)深度融合形成了新的“賽博智能經(jīng)濟(jì)系統(tǒng)”，從信息的角度出發(fā)，賽博智能經(jīng)濟(jì)是信息增長更快的經(jīng)濟(jì)，而信息有序與快速增長的核心原因是算法，本報告將首先分析賽博智能經(jīng)濟(jì)與計算思維的密切聯(lián)系，進(jìn)而通過廣告推薦，共享出行，移動補(bǔ)貼市場等多個案例分析給出算法在賽博智能經(jīng)濟(jì)中的重要作用。

ABSTRACT

Driven by the demands of explosive big data applications, advanced computing across geographically dispersed data centers is evolving to be a major paradigm for high-performance big data processing and analytics. A data center network is composed of a dedicated center network (CN) of ultra-high bandwidth that interconnects multiple data centers, each containing a massive number of servers, and an edge network (EN) that connects the CN to edge servers through the Internet. While the CN provides high-performance distributed computing in an ultra-large scale in both parallelism and geographical span, the EN supplies ubiquitous on-demand client access to the CN and supports real-time data collection from heterogeneous data sources, pre-processing and outsourcing.

In this talk, I will first introduce the architecture and new features of advanced computing in data center networks, and overview some current research focuses in different levels of this advanced computing environment in response to three big challenges - efficiency, reliability and security. Then, to show the research opportunities in this challenging direction, I will discuss some research problems and present their solutions by illustrating the relevant work done by my research team. Finally I will conclude the talk by displaying some of our on-going and future work in this direction.

ABSTRACT

多源數(shù)據(jù)集成分析是大數(shù)據(jù)應(yīng)用的重要問題之一，由于數(shù)據(jù)集包含了大量敏感隱私信息，隱私信息泄露問題成為阻礙數(shù)據(jù)集成分析廣泛應(yīng)用的一個關(guān)鍵性因素。多源數(shù)據(jù)的異構(gòu)、相關(guān)性和動態(tài)性等特征導(dǎo)致了隱私信息泄露模式更為復(fù)雜多變，對數(shù)據(jù)隱私模型的適用性、隱私保護(hù)方法的效用性和隱私處理算法的復(fù)雜性等提出了多方面理論和技術(shù)挑戰(zhàn)。我們針對多源相關(guān)數(shù)據(jù)集成分析的隱私性保護(hù)模型和技術(shù)開展研究，著重研究多源相關(guān)數(shù)據(jù)集成學(xué)習(xí)的隱私信息泄露，以及異構(gòu)、動態(tài)性所帶來的隱私處理算法計算復(fù)雜性等技術(shù)問題，解決數(shù)據(jù)隱私性與效用性沖突，以及面向大數(shù)據(jù)隱私處理算法的高度計算復(fù)雜性問題。

ABSTRACT

Crowd counting, for estimating the number of people in a crowd using vision based computer techniques, has attracted much interest in research community. Although many attempts have been reported, real world problems, such as huge variation in subjects’ sizes in images and serious occlusion among people, make it still a challenging problem. In this study, we propose an Adaptive Counting Convolutional Neural Network (A-CCNN) and consider the scale variation of objects in a frame adaptively so as to improve the accuracy of counting. The existing approaches also typically end up with a complicated network model resulting in a challenge for real-time processing. In our approach, a new pruning strategy is proposed by considering the contributions of various filters to the final classification. The filters in the original CCNN model are grouped into positive, negative and irrelevant types. We prune the irrelevant filters of which feature maps contain little information, and the negative filters determined by a mask learned on a training dataset. We demonstrate the advantages of our proposed approach on a crowd counting problem. Our experimental results on benchmark datasets show that the proposed network model improves the counting accuracy.

ABSTRACT

The China HPC TOP100 list, an annual report of the 100 most powerful high performance computing (HPC) systems installed in mainland China, has traced the rapid growth of HPC technology in China since its first publication in 2002. This paper introduces the China HPC TOP100 list and reviews the current status of HPC systems in China in terms of system features, manufactures, and areas of application using the data reported in the most recent list, published on November 1st, 2018. We provide further analysis, prediction of future trends, and directions of the development of HPC systems in China referencing historical data accumulated through archived TOP100 lists and other publically available information.

ABSTRACT

Firstly, this report presents the basic concepts and the related technology of blockchain. Then the following aspects are described: introduction of the technical characteristics and framework structure of consortium blockchain, analysis of the formal representation of traditional information systems and consortium blockchain based on the technical characteristics and architecture mode of traditional information systems, analysis of similarities and difference between consortium blockchain and traditional information systems. Furthermore, taking the characteristics, architecture and the current development status of traditional information systems into consideration, this report focuses on the development trend of the architecture of consortium blockchain. Finally, combining with the content of the previous introduction and the development status of the blockchain in all aspects, the report gives some thoughts on the theory and technology of the development of blockchain.

ABSTRACT

深度互聯(lián)與數(shù)據(jù)感知網(wǎng)絡(luò)是指由感知設(shè)備、邊緣網(wǎng)絡(luò)、云網(wǎng)絡(luò)，社會網(wǎng)絡(luò)構(gòu)成的，實現(xiàn)對整個世界無所不在感知的巨型網(wǎng)絡(luò)的總稱。但這種史無前例的感知網(wǎng)絡(luò)帶來空前的挑戰(zhàn)與機(jī)遇。深度互聯(lián)與感知網(wǎng)絡(luò)使得人與人，物與物，人與物之間的深度互聯(lián)與感知，使得自然增加人的智能，人具有自然的屬性。帶來人與自然的深刻交互與演化。然而，當(dāng)前的網(wǎng)絡(luò)計算模式與方法還遠(yuǎn)不能適應(yīng)這種新型應(yīng)用的發(fā)展，面臨著巨大的挑戰(zhàn)。本報告介紹一種可成長的新型互聯(lián)與深度數(shù)據(jù)感知網(wǎng)絡(luò)的體系結(jié)構(gòu)與框架，以期為新型感知網(wǎng)絡(luò)的大規(guī)模數(shù)據(jù)深度交互、感知與信息獲取提供新的思路。

六大主題論壇

網(wǎng)絡(luò)空間新視角：軟件基因技術(shù)

智慧醫(yī)療與影像分析前沿

遙感大數(shù)據(jù)

區(qū)塊鏈技術(shù)前沿

從知識圖譜到?jīng)Q策智能

計算機(jī)視覺前沿

。。。。論壇嘉賓敬請期待。。。。

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http://2019.icpcsee.org

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http://2019.icpcsee.org/Registration.html