CITS 2019: The 2019 International Conference on Computer, Information and Telecommunication Systems

August 28-31, 2019, Beijing, China

About the Conference 🔗

The 2019 International Conference on Computer, Information, and Telecommunication Systems, CITS 2019, is an international forum for scientists, engineers, and practitioners to present their latest research and development results in all areas of Computer, Information, and Telecommunication Systems, CITS.

The conference will feature tutorials, technical paper presentations, and distinguished keynote speeches. All accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore digital library covered by Scopus and EI Compendex as well as other Abstracting and Indexing (A&I) databases.

Extended versions of selected accepted papers from the conference will be published in special issue(s)/Section(s) of International Journal of Communication Systems (SCI indexed) and Security and Privacy Journal (Wiley).

Technical co-sponsor

IEEE logo ComSoc logo

Important Dates

  • Paper submission (firm deadline):
  • Author notification:
  • Camera-ready paper submission:

You can download a one-page Call For Papers (CFP) as well as the General Chairs' Message and Conference Program (1.0 MB).

CITS 2019 is over! See you in CITS 2020!

Final Paper Submission

Please, follow instructions given in the detailed final paper preparation and submission instructions (also in PDF format) available for authors.

Papers should be written in English with a maximum paper length of 5 printed pages (10-point font, A4 size paper) including figures. For your submission you can use the standard IEEE Transactions templates for Microsoft Word or LaTeX formats found at: (Remember: A4 size)

Papers must be submitted in Portable Document Format (PDF) format, using the following EDAS link:

Important Notice:

Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (multiple submission). To learn more about this matter; visit:

Conference Registration

CITS 2019 Conference Registration

These are the available registration options. Authors can only register on-line with two payment options: credit card and bank wire (through EDAS). Registrations cover: Entrance to all technical sessions, tutorials and keynote speeches, e-proceedings, coffee during breaks, one badge, tickets for one welcome dinner, one lunch and one banquet.

Please read CANCELLATION POLICY first before you pay for the registration.

Registrations IEEE/SCS Member2Non-member2
Author Registration (for Student or Non-Student until July 19, 20191) €590€690
Extra Page Charge (for each page beyond 5 pages/paper) €100€100
No-paper Early Registration (until July 19, 20191) €590€690
Late (from July 20, 20191)/On Site Registration €690€790
No-paper Student Registration €250€250
Extra Banquet Ticket €65€65
Extra Lunch Ticket €20€20

All attendees at CITS 2019 should make the registration. One author per paper (up to 5 pages) MUST be accompanied by one mandatory full registration which is entitled to cover ONE paper only and the registration fee must be paid by July 19, 2019.


  • Author Refunds: Authors who have registered their accepted paper are not eligible for refund if decided to withdraw their paper
  • 50% Refunds: Non-authors Refund requests received before July 26, 2019
  • No Refunds: Non-authors Refund requests received after July 26, 2019 will not be eligible for a refund

1 Until/from 12am (midnight) EST

2 IEEE and SCS members must keep updated their society memberships in EDAS.

How to register for CITS 2019

  1. Go to the CITS 2019 Registration at EDAS (sign in or, if you do not have an EDAS account, sign up)
    • Members of IEEE and SCS must keep updated their society memberships in EDAS (check the "update your society memberships" link) in order to register with reduced charges
    • Please specify your dietary constraints or special needs in "My Profile"
  2. Click 'Icon' of Payment by Credit Cards or Bank Wire
  3. Enter necessary card details as well as VAT numbers or other details for your invoice; then click the button of 'PAY'
    • For Bank Wire, it takes a while for the EDAS system to update your payment status (Important Reminder: please pay 'All Bank's Charges If Any are To Be Born' by yourself!)
  4. Any problem occurs in EDAS, please Click 'Request help' (on the bottom line of the page) and EDAS staff will reply to you ASAP.

Organizing Committee 🔗

General Chairs

  1. Mohammad S. Obaidat,
    King Abdullah II School of Information Technology (KASIT), Univ. of Jordan, Jordan
  2. Zhenqiang (Kevin) Mi,
    Univ. of Science and Technology Beijing, China

Executive General Chair

  1. Kuei-Fang (Leila) Hsiao,
    Ming Chuan Univ., Taiwan

Senior Program Chair

  1. Petros Nicopolitidis,
    Aristotle Univ., Greece

Program Chairs

  1. Imad Mahgoub,
    Florida Atlantic Univ., USA
  2. Neeraj Kumar,
    Thapar Institute of Engineering & Technology, India
  3. Zhaolong Ning,
    Dalian Univ. of Technology, China

Local Arrangement Chair

  1. Yu Guo,
    Univ. of Science and Technology Beijing, China

Local Arrangement Committee

  1. Yuanyuan Xie,
    Univ. of Science and Technology Beijing
  2. Biwei Li,
    Univ. of Science and Technology Beijing
  3. Xingyun Zhang,
    Beihang Univ.
  4. Huayun Yang,
    Renmin Univ. of China
  5. Jing Zhang,
    Univ. of Science and Technology Beijing

Publicity Chairs

  1. Lei Shu,
    Nanjing Agricultural Univ., China
  2. Der-Jiunn Deng,
    National Changhua Univ. of Education, Taiwan
  3. Moi Hoon Yap,
    Manchester Metropolitan Univ., UK
  4. Seungmin (Charlie) Rho,
    Sungkyul Univ., Korea
  5. Xiaochen Lai,
    Dalian Univ. of Technology, China
  6. Hongzhen Shi,
    Yunnan Minzu Univ., China
  7. Sofiane Hamrioui,
    Univ. of Nantes, France

Publication Chair

  1. Daniel Cascado,
    Univ. of Seville, Spain

International Liaisons

  1. Sang-Soo (Martin) Yeo,
    Mokwon Univ., Korea
  2. Balqies Sadoun,
    Al-Balqa' Applied Univ., Jordan
  3. Hong Ji,
    BUPT, China
  4. Ching-Hsien (Robert) Hsu,
    Chung Hua Univ., Taiwan
  5. Helen Karatza,
    Aristotle Univ., Greece
  6. Haifeng Wu,
    Yunnan Minzu Univ., China

Registration Chair

  1. Kuei-Fang (Leila) Hsiao,
    Ming-Chuan Univ., Taiwan

Finance Chair

  1. Kasim Al-Aubidy,
    Philadelphia Univ., Jordan


  1. Antonio Bueno,
    Univ. of Girona, Spain

Steering Committee 🔗

  • Franco Davoli, Univ. of Genoa, Italy
  • Pascal Lorenz, Univ. of Haute Alsace, France
  • Mohammad S. Obaidat, Fordham Univ., NY, USA (Chair)
  • Jose L. Sevillano, Univ. of Seville, Spain
  • George A. Tsihrintzis, Univ. of Piraeus, Greece
  • Laurence T. Yang, St. Francis Xavier Univ., Canada

Program Committee 🔗

  • Jalel Ben-Othman, CentraleSupélec & Univ. of Paris 13
  • Igor Bisio, Univ. of Genoa
  • Luca Caviglione, National Research Council (CNR)
  • Zhikui Chen, Dalian Univ. of Technology
  • Franco Davoli, Univ. of Genoa
  • Tomaso De Cola, German Aerospace Center (DLR)
  • Gianluigi Ferrari, Univ. of Parma
  • Hacene Fouchal, Univ. de Reims Champagne-Ardenne
  • Jing Gao, Dalian Univ. of Technology
  • Fabrizio Granelli, Univ. of Trento
  • Jose Luis Guisado, Univ. de Sevilla
  • Georgios Kambourakis, Univ. of the Aegean
  • Helen Karatza, Aristotle Univ. of Thessaloniki
  • Paris Kitsos, Technological Educational Institute of Western Greece
  • Andreas Komninos, Univ. of Patras
  • Carlos Leon, Univ. of Seville, IEEE Senior Member
  • Jaime Lloret, Univ. Politecnica de Valencia
  • Pascal Lorenz, Univ. of Haute Alsace
  • Valeria Loscrí, Inria Lille-Nord Europe
  • Malamati Louta, Univ. of Western Macedonia
  • Raimundo Macedo, UFBA
  • Chandrashekhar Meshram, Rani Durgawati Univ.
  • Farid Nait-Abdesselam, Paris Descartes Univ.
  • Jun Peng, UTRGV - Edinburg, TX
  • Gianluca Reali, Univ. of Perugia
  • Joel Rodrigues, National Institute of Telecommunications (Inatel)
  • Angel-Antonio San-Blas, Univ. of Elche
  • Dan Tao, Beijing Jiaotong Univ., China
  • John Vardakas, IQUADRAT Informatica S. L. Barcelona
  • Anna Maria Vegni, Roma Tre Univ.
  • Christos Verikoukis, CTTC
  • Gang Wang, PCTEL, Inc.
  • Laurence T. Yang, St. Francis Xavier Univ.
  • Sherali Zeadally, Univ. of Kentucky

Keynote Speakers 🔗

Machine Learning and Analytics with Significantly Imbalanced Data and Applications in Information Systems


Photo of Prof. George A. Tsihrintzis

George A. Tsihrintzis is Full Professor and Head of the Department of Informatics in the University of Piraeus, Greece. He received the Diploma of Electrical Engineer from the National Technical University of Athens, Greece (with honors) and the M.Sc. and Ph.D. degrees in Electrical Engineering from Northeastern University, Boston, Massachusetts, USA. His current research interests include Pattern Recognition, Machine Learning, Decision Theory, and Statistical Signal Processing and their applications in Multimedia Interactive Services, User Modeling, Knowledge-based Software Systems, Human-Computer Interaction and Information Retrieval. He has authored or co-authored over 300 research publications in these areas, which include 5 monographs and 14 edited volumes.

He is the Editor-in-Chief of Intelligent Decision Technologies (IOS Press) and the International Journal of Computational Intelligence Studies (Inderscience) and a member of the editorial boards of 8 additional journals.

He has chaired over 20 international conferences.

He has guest co-edited 9 special issues of international journals.

He was the recipient of the Best Poster Paper Award of the 5th International Conference on Information Technology: New Generations, Las Vegas, USA, April 7-9, 2008, for co-authoring a paper titled: "Evaluation of a Middleware System for Accessing Digital Music Libraries in Mobile Services."

He was the recipient of one of the Best Applications Papers Award of the 29th Annual International Conference of the British Computer Society Specialist Group on Artificial Intelligence, Cambridge, UK, December 15-17, 2009, for co-authoring a paper titled: "On Assisting a Visual-Facial Affect Recognition System with Keyboard-Stroke Pattern Information."

He was the recipient of one of the Best Student Paper Awards of the 5th IEEE International Conference on Information, Intelligence, Systems and Applications (IISA2014), Chania, Crete, Greece, July, 7-9, 2014, for co-authoring a paper titled: “Genetic-AIRS: A Hybrid Classification Method based on Genetic Algorithms and Artificial Immune Systems”

He has presented keynote speeches in several international conferences.


Classification is a very common supervised machine learning and data analytics task, in which a piece of data needs to be assigned by the learning algorithm to one of a given number of potential classes of origin. More specifically, in classification, the machine is given a set of training samples for each of which the class of origin is known. The machine is then asked to learn inductively from the given samples and generalize into a rule for assigning data into classes of origin that allows it to classify samples other than the ones used for training. It is the usual assumption of the binary classification problem that the number of training samples available from one class is comparable to the number of training samples available from the other class. However, it is not uncommon in certain applications for the number of training samples from one class to be significantly higher than the number of training samples from the other class. For example, users of recommender systems are very willing to provide examples (samples) of items they like, but are reluctant to provide samples of items they do not like. Similarly, in a protected system, the number of samples of intruders may be relatively limited, while the number of available samples of allowed/legal users may be quite high. Classification problems with class imbalance arise in nature as well. For example, the immune system in vertebrate organisms needs to be able to discriminate between self cells and other antigens, so as to respond accordingly. A high number of samples from the class of self cells are available to train the immune system. On the other hand, the class of antigens is very broad, including cancer cells, cells from other organisms, molecules and other intruding substances, viruses, bacteria, and parasitic worms. The number of available training samples from the class of antigens is very limited when compared to the size and diversity of this class.

The imbalance in the number of samples from each class affects the performance of traditional binary classifiers. Indeed, in probabilistic terms, classification problems in which training samples from one class are significantly higher in number than training samples from the other class result in significantly uneven prior probabilities of the two classes. The class from which a higher number of samples is available (target class) will have higher prior probability, while the class from which only a limited number of samples is available (outlier class) will have much lower prior probability. In turn, this affects the posterior probabilities of a sample coming from one or the other class. As a result, a binary classifier will erroneously tend to decide more often that an unknown sample comes from the target class than from the outlier class. In recommender system applications, this would mean that the system would tend to recommend items that the user might not like. Similarly, in a protected system, intruders and other threats might not be recognized.

In this presentation, we will discuss machine learning and analytics with extremely-imbalanced data and investigate the applicability of these methodologies in the design of recommender systems that support information systems.

Cloud Service Management for Manufacturing


Photo of Prof. Lin Zhang

Lin Zhang is a professor of Beihang University, China. He received the B.S. degree in 1986 from Nankai University, China, the M.S. and the Ph.D. degree in 1989 and 1992 from Tsinghua University, China. His research interests include service oriented modeling and simulation, cloud manufacturing, model engineering for simulation, agent based control and simulation. Currently, he serves as the Past President of the Society for Modeling & Simulation International (SCS), a Fellow of SCS and ASIASIM, the executive vice president of China Simulation Federation (CSF), a chief scientist of the 863 key projects, and associate Editor-in-Chief and associate editors of 6 peer-reviewed international journals. He authored and co-authored more than 200 papers, 10 books and chapters. He received the National Award for Excellent Science and Technology Books in 1999, the Outstanding Individual Award of China High-Tech R&D Program (863), 2001, the National Excellent Scientific and Technological Workers Awards in 2014.


Service management is one of the most important tasks on a cloud. For the cloud designed for manufacturing, service management becomes very difficult because of many specific features, such as multi-varieties, heterogeneity, uncertainty, multi-constraints, and many services consist of physical equipment. This lecture will summarize state-of-art of cloud service management for manufacturing, and then discuss key technologies including service creation, service search and matching, service composition and scheduling, service credibility evaluation and service transaction. Some application examples will be presented.

Tutorials 🔗

Reforming the Contributions and Problem Solving of Artificial Intelligence Into E-Learning


Photo of Prof. Maria Virvou

Maria Virvou was born in Athens, Greece. She received a B.Sc. Degree in Mathematics from the National and Kapodistrian University of Athens, Greece, a M.Sc. Degree in Computer Science from the University College London, U.K. and a Ph.D. Degree in Computer Science and Artificial Intelligence from the University of Sussex, U.K.

She is a FULL PROFESSOR, DIRECTOR OF POST- GRADUATE STUDIES, DIRECTOR OF THE SOFTWARE ENGINEERING LAB and former HEAD OF THE DEPARTMENT in the Department of Informatics, University of Piraeus, Greece. She is AUTHOR/CO-AUTHOR of over 350 research papers published in international journals, books and conference proceedings and of many books and monographs in Computer Science published by Springer and other publishers. She has been EDITOR of over 20 collections of papers in conference proceedings or books, published by major academic publishers, such as IEEE, Springer and IOS Press. She has also been EDITOR-IN-CHIEF of the SpringerPlus Journal (Springer) for the whole area of Computer Science. Additionally, she has been an ASSOCIATE EDITOR of the Knowledge and Information Systems (KAIS) Journal (Springer) and MEMBER OF THE EDITORIAL BOARD of many other International Journals. She has been GENERAL CO-CHAIR of the yearly conference series of International Conference on Information, Intelligence, Systems and Applications (IISA 2018, 2017, 2016, 2015, 2014, 2013), technically-sponsored by IEEE, which aims at promoting research in the area of interactive multimedia and major applications such as e-learning and m-learning. She has been the GENERAL CHAIR / PROGRAM CHAIR of over twenty (20) International Conferences.She has been the PRINCIPAL INVESTIGATOR or CO-INVESTIGATOR of numerous national / international research projects. She has supervised 12 Ph.D. theses which have been completed successfully and many of her former Ph.D. students hold academic positions in Universities. She is currently supervising 5 Ph.D. students and 5 post-doctoral researchers. Many journal articles of hers have been ranked among the most cited/downloaded papers of the respective journals where they have been published. She has been a recipient of many best paper awards in international conferences. She has been an invited keynote speaker for many international conferences. According to Microsoft Academic Search, she has been ranked as 52 in the top 100 authors out of 58000 authors worldwide in the area of Computers and Education. Her research interests are in the area of Computers and Education, Artificial Intelligence in Education, user and student modeling, e-learning and m-learning, Knowledge-Based Software Engineering and Human-Computer Interaction.


Artificial Intelligence has been used in Education for many years and has contributed to the so-called area of Intelligent Tutoring Systems. However, recent advancements in e-learning, data analytics, connectivity, social media, affective computing, serious games in education and multi-modal human-computer interaction have brought to light new forms of contributions, approaches and problem solving using Artificial Intelligence (AI) in e-learning. Moreover, there have been new challenges concerning privacy and data protection in personalised AI-based education. In this tutorial, novel research approaches will be presented towards the application of AI in e-learning and will be compared and contrasted with standard distance learning platforms. AI based problem solving methods will be reviewed such as cognitive theories, fuzzy logic, decision theories and machine learning in the context of the analysis, design and development of sophisticated e-learning applications that adapt automatically to learners’ needs and preferences. Then, particular environments of e-learning including authoring tools, computer assisted learning, collaborative learning, mobile learning, social networks and serious games encompassing the above theories and algorithms will be presented and discussed. Evaluation methods, processes and challenges will also be presented together with prototype development methods incorporating empirical studies.

Topics of Interest 🔗

Track I: Computer Systems

  • Cloud computing
  • Cloud management
  • Cloud services
  • Computer architectures
  • Computer hardware technology
  • Computer-aided designs and technology
  • Display technology
  • Digital circuits, systems and logic design
  • Embedded systems
  • Evolutionary algorithms and computing
  • Fuzzy systems and fuzzy logic
  • Green computing
  • Grid computing and architectures
  • Hardware and software co-design
  • High-performance computing
  • Input/Output systems
  • Low-power computer technology
  • Memory systems
  • Mobile computing
  • Modeling and simulation
  • Object Oriented Languages
  • Operating system and middleware for mobile computing and networking
  • Performance evaluation
  • Pervasive computing
  • Real-time systems and simulations
  • Reconfigurable computing
  • System integration
  • Systems on chip (SoC)
  • Scientific computing algorithms
  • Soft computing
  • Software design, verification and validation
  • Software performance and engineering
  • Social networking and computing
  • VLSI design

Track II: Information Technology

  • Agents and multi-agents systems
  • Artificial intelligence and expert systems
  • Adaptive learning automata
  • Bioinformatics and biological computing and engineering
  • Database and data warehouses
  • Data mining
  • Future web
  • e-Government
  • e-Commerce
  • e-Health
  • e-Learning and adaptive learning
  • Geographical information systems (GIS)
  • Global positioning systems (GPS)
  • Human-computer interaction (HCI)
  • Network systems, proxies and servers
  • Neural networks
  • Protocols and standards
  • RF technology and control error correction
  • Signal and image processing
  • System engineering
  • Telematics
  • Web-Based Simulation Applications

Track III: Web Technologies

  • Accessibility issues and Technology
  • Data Fusion
  • Digital Libraries
  • Content transformation and adaptation in proxy server
  • Metadata and metamodeling
  • Multimedia
  • Ontology and semantic web
  • Personalized web sites/Web site classification and optimization
  • Portal strategies
  • Quality recommendation for software service provisioning
  • Service oriented architecture
  • System integration
  • User modeling
  • Usability and ergonomics
  • Web analytics
  • Web services and engineering
  • Web interfaces and applications
  • Web searching, browsing and ranking
  • Web information retrieval
  • Web intelligence
  • Web performance measurement, modeling and caching
  • XML and data management

Track IV: Networking Systems

  • Bio-inspired and nature-inspired solutions in wireless ad hoc and sensor networks
  • Broadband access technologies
  • Cognitive radio
  • Cross-layer design for mobile and wireless networks
  • Dynamic spectrum management
  • Disruption tolerant networks
  • Energy-efficient networks
  • Future Internet
  • Hybrid networks
  • Medium access control protocols
  • Network management
  • Network services and protocols
  • Optical networks
  • Opportunistic networks
  • Personal area networks
  • Performance-oriented design and evaluation focused on networks and mobile applications
  • Quality of service provisioning
  • Routing protocols
  • Sensor networks
  • Smart grids
  • Testbed design and implementation
  • Traffic Eng. & measurements
  • Under water networks
  • 60 GHz networking
  • Wireless networks

Track V: Telecommunication Systems

  • Adaptive communications
  • Channel estimation
  • Cognitive vehicular ad hoc networks
  • Cooperative communications
  • Channel coding
  • Interference management
  • Massive MIMO systems
  • Modulation techniques
  • MIMO systems
  • Novel applications enabled by telecommunication networking systems
  • OFDM communications
  • Power line communication
  • Satellite communication
  • Spread-spectrum communications
  • UWB communications
  • Wireless broadcasting
  • Wireless communication

Track VI: Security Systems

  • Authentication and access control
  • Biometrics systems
  • Computer and communication security
  • Cryptography and cryptanalysis
  • Digital watermarking, fingerprinting, and traitor tracing schemes
  • Detection analysis and prevention of malware
  • Denial of service issues
  • Intrusion detection systems
  • Information systems security
  • Keystroke dynamic systems
  • Multimedia security
  • Network security
  • Network systems forensics
  • Operating systems security
  • Program security
  • Physical security
  • Privacy enhancing technologies
  • Public-key infrastructure systems
  • Quantum cryptography
  • Security of e-Systems and applications
  • Security modeling, tools & simulation
  • Security of personal area networks
  • Security of WiFi and WiMax systems
  • Security of web systems
  • Secure PHY and MAC protocols
  • User & location privacy
  • Virtual Private Network systems
  • Vulnerability and Virus analysis
  • Vulnerability and attack modeling
  • Web security and privacy
  • Web-based application security

Venue and Accomodation 🔗

Conference Venue

The Techart Plaza (Tiangong building) in USTB will be the venue to host the conference. The building covers an area of 26500 square meters. The total construction area is 103780 square meters. It's equipped with Chinese and Western restaurant, lobby bar, large meeting rooms and so on. Many famous Multi-National Corporation successfully held various types of meetings in the building. The building offers a variety of the conference rooms according to different demands.

Pedestrian Route to Sessions

Pedestrian Route to Tutorial

Nearby Hotels 🔗

To book a hotel room, please contact Hotel directly. Though all of these hotels are near the conference venue, however, for the ones with Chinese websites only, please search for the hotel English names from the online booking agents e.g. or etc.

  1. Tylfull Hotel (5-star)

    Hotel brief introduction: House in a modern building standing on Xitucheng Road, the upscale Tylfull Hotel is close to the landmark Jimen Bridge and just steps away from top academic institutions as Peking University and Tsinghua University. Besides well-appointed guestrooms and heartfelt service, this 5-star hotel boasts 3 dining places with a wide selection of fare and various leisure facilities as a swimming pool, a yoga room, mahjong room and a spa centre. High speed internet is free of charge.
    Address: No.1 Building, No.1 Courtyard, Xitucheng Road, Haidian District, Beijing
    Phone number: 010-53299999
    Market price: 1508RMB (One breakfast included)
    Discount price: 1180RMB (One breakfast included)
  2. Park Plaza Beijing Science Park (4-star)

    Hotel brief introduction: Located in Beijing's Silicon Valley, The Park Plaza Beijing Science Park Hotel offers easy access to attractions and affordable accommodation with free Wi-Fi in the entire property.
    Address: No. 25 Zhichun Road
    Phone number: 010-82356699
    Market price: 966RMB (One breakfast included)
    Discount price: 688RMB (One breakfast included)
  3. Vision Hotel (5-star)

    Hotel brief introduction: Situated near the Zhongguancun Science & Technology Area, Vision Hotel Beijing is only 293 m from Xitucheng subway station (line 10). Beijing Olympic Center is about a 10-minute drive away. It features an indoor pool, a spa and 24-hour massage service. Free Wi-Fi is available in all areas.
    Address: 39 College Road, Haidian District, Beijing
    Phone number: 010-62308899
    Market price: 1110RMB (One breakfast included)
    Discount price: 800RMB (One breakfast included)
  4. Geosciences International Conference Centre Hotel (4-star)

    Hotel brief introduction: Located opposite Beijing Language and Culture University, Geosciences International Conference Centre is a 5-minute walk from Wudaokou Subway Station (line 13). It is 8 km to Xiang Shan, while Beijing Railway Station is 27 km away. Beijing Capital Airport is 29 km and South Beijing Railway Station is 30 km from the hotel.
    Address: 29 College Road, Haidian District, Beijing
    Phone number: 010-8646-5055
    Market price: 728RMB (One breakfast included)
    Discount price: 700RMB (One breakfast included)
  5. Zhongyou Hotel Beijing (Haidian Branch) (3-star)

    Hotel brief introduction: Beijing National Stadium - Bird Nest is 3.2 km from Zhongyou Hotel Beijing, and Summer Palace is 6.8 km away. The nearest airport is Beijing Capital International Airport, 22.5 km from Zhongyou Hotel Beijing.
    Address: No. 20 College Road, Haidian District, Beijing
    Phone number: (010)83599015
    Market price: 780RMB (One breakfast included)
    Discount price: 700RMB (One breakfast included)

Travel and Location 🔗

Travel Information

Beijing Capital International Airport has opened lots of domestic and international routes now, including 252 domestic routes, 120 international routes (many flights to large and medium cities of the nation every day).

  • Taxi: The rides are around 55 minutes, and cost around 100RMB
  • Public transit: This takes about 1 hour and 50 minutes, and cost around 31RMB
    1. Take Airport Bus Gong Zhu Fen Line at T1 Hao Hang Zhan Lou Stop.
    2. Exit the bus at Bei Tai Ping Zhuang Stop.
    3. Take Bus 331 Line (331) - Xiang Shan Stop at BeiTaiPingQiao-West Stop, which is around 384ft from where you exit the Airport Bus.
    4. Exit the bus at Cheng Fu Lu Kou South Stop.
    5. Walk from Cheng Fu Lu Kou South Stop to Destination Location about 0.3 mi.

Tourism in Beijing

Here are some tourist attractions:

Tian'anmen Square

Tian'anmen Square is one of the largest city squares in the world. It is situated in the heart of Beijing. Tian'anmen was built in 1417 and was the entrance gate to the Forbidden City. Now the square stretches 880 meters from north to south and 500 meters from east to west. The total area is 440,000 square meters. That's about the size of 60 soccer fields, spacious enough to accommodate half a million people.

The Palace museum

Beijing Palace museum is a royal palace of the Ming and Qing dynasties in China, which was formerly known as the Forbidden City. It is located in the center of the central axis of Beijing and it is the essence of Chinese ancient palace architecture.

The Great Wall

The majestic Great Wall touches the billows of the Bohai Sea in the east, and traverses the vast expanse of the Gobi desert in the west. It leaps over the boundless land of China like a soaring dragon. It was built with the blood and sweat of the laboring people of ancient China and is a symbol of the brilliance of China's ancient culture and a pride of the Chinese nation.


Sanlitun is located in the middle and western part of Chaoyang District, Beijing. It is famous for Sanlitun Bar Street, which is one of the most prosperous entertainment streets in Beijing nightlife.


Yuanmingyuan is a large royal palace in the Qing Dynasty. The Qing emperors came here every summer to deal with political and military affairs, so it is also called the old Summer Palace. It is renowned for its grand geographical scale, outstanding building skills, rich cultural collections, and profound national cultural connotations. It is hailed as "a model for all garden art".

Summer Palace

The Summer Palace landscape, dominated mainly by Longevity Hill and Kunming Lake, covers an area of 3.08 square kilometers, three quarters of which is under water. Its 70,000 square meters of building space features a variety of palaces, gardens and other ancient-style architectural structures. Well known for its large and priceless collection of cultural relics, it was among the first group of historical and cultural heritage sites in China to be placed under special state protection.

Beijing Zoo

The Beijing Zoo lies west of Xizhimen and is in the western part of Beijing. Like many of Beijing's parks, areas of the zoo have the distinctive look of classical Chinese gardens. The grounds combine cultivated flower gardens with stretches of natural scenery, including dense groves of trees, stretches of grassland, a small stream, lotus pools and small hills dotted with pavilions and halls. The Beijing Zoo mainly exhibits wild and rare animals of China, including the Giant Pandas, the Sichuan golden snub-nosed monkey, Manchurian tigers, white-lipped deer, and so on.

Olympic Green

The Olympic Green, at the north end of the central axis of Beijing, houses a forest park and the Olympic Common Domain (OCD). The OCD, where the Bird's Nest, the Water Cube and the National Indoor Stadium are, is open to the public from Monday to Sunday.

Promote CITS 2019 🔗

Help to promote CITS 2019

Help us make CITS 2019 a success!

More attendees means better discussions and a richer experience for everyone.

  • Pass the word about CITS 2019 to your colleagues and friends and encourage them to participate or simply attend
  • Announce CITS 2019 through your contacts, mailing lists, blogs, newsgroups and online forums

Linking to the conference website

You can use the following code to link to us from your site:

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CITS 2019

Mentioning CITS 2019 in social media

Please use "CITS2019" (one word) if you refer the conference (e.g. use the hashtag #CITS2019 in Twitter) and link to the main webpage:

Thank you so much for your help!

Previous CITS Conferences 🔗