About PIC-2021

The 2021 IEEE International Conference on Progress in Informatics and Computing (PIC-2021) will be held on December 17-19, 2021.

PIC-2021 is the eighth edition of the PIC conference series. It provides a forum for researchers and practitioners in academia and industry to discuss the progress, challenges, experience and trends of the theoretical and application issues in computer science, artificial intelligence, big data analysis, and software engineering, exchange ideas, share knowledge and promote future cooperation.

This year's conference will be held online, as it was last year, to deal with the uncertainty of the covid-19 epidemic. In addition to the online conference, offline meetings will be held in Shanghai/Tampere to facilitate face-to-face communications among local nearby participants. The conference is technically supported by the IEEE Beijing Section, co-organized by Shanghai University of Finance and Economics, Tampere University,and Faculty of Business Information at Shanghai Business School. All accepted papers will be published in the IEEE categorized conference proceedings and will be submitted to EI Compendex, as well as IEEE Xplore. Extended versions of good papers will be recommended for publication in several international SCI, EI and CSCD indexed journals.

For your reference, you can find the information of PIC-2021 at IEEE Website through cliking the following link:


IEEE Beijing Section

Shanghai University of Finance and Economics


Shanghai University of Finance and Economics, China

Tampere University, Finland

Shanghai Business School, China

What's New

The submission is now open, we welcome you to prepare and submit papers before the deadline(September 30)

The subbmission link is Paper Submission Link

You can find Word and Latex templates below

Call For Papers

We encourage you to submit original papers in, but not limited to the following topics before the deadline.

The Call For Paper JPG file can be downloaded at:     Call For Paper

  • Machine Learning / Data Mining
  • Ambient Intelligence
  • Pattern Recognition
  • Knowledge Representation
  • Decision Support Systems
  • Multi-Agent Systems
  • Information Retrieval
  • Natural language processing
  • Fuzzy Logic
  • Knowledge Engineering
  • Semantic Web
  • Recommendation Systems
    • Big Data Processing
    • Cloud Computing
    • Pervasive Computing
    • Internet of Things
    • Sensor Network
    • Wireless Network
    • Vehicular Network
    • Mobile Computing
    • Embedded Systems
    • Information Security
    • Cryptography
    • Social Network

    • Computer Graphics
    • Computer Aided Design
    • Virtual Reality
    • Scientific Computing
    • Computer Simulation
    • Multimodal Computing
    • Video & Image Processing
    • Multimedia Systems
    • Computer Games
    • Intelligent User Interfaces
    • Computer Art
    • User Modeling
    • AI in Software Engineering
    • Software Reuse
    • Requirements Engineering
    • Object-Oriented Design
    • Agent-based Sytems
    • Service Computing
    • Workflow Management
    • Management Information Systems
    • Computer Supported Cooperative Work
    • Business Informatics,E-Learning, etc.
    • Legal Informatics, Bioinformatics, etc.
    • Miscellaneous Applications

    Organizing Committee

    General Conference Chairs

    Jyrki Nummenmaa
    (Tampere University, Finland)
    Yinglin Wang
    (Shanghai Univ. of Finance and Economics, China)
    Mengqi Zhou
    (IEEE Beijing Section, China)

    Steering Committee Chairs

    Hamido Fujita
    (Iwate Prefectural University, Japan)
    Yanghua Xiao
    (Fudan University, China)
    Dongmei Han
    (Shanghai Business School, China)
    Enrique Herrera Viedma
    (Granada University, Spain)
    Aarne Ranta
    (Gothenburg University, Sweden)

    Program Committee Chairs

    Zheying Zhang
    (Tampere University, Finland)
    Xing Wu
    (Shanghai University, China)

    Organizing Chairs

    Bo Huang
    (Shanghai Univ. Of Engi. Sci., China)
    Yun Chen
    (Shanghai Univ. of Finance and Economics, China)

    Publicity Chairs

    Liang Xiao
    (Nanjing Univ. of Sci. and Tech., China)
    Michael Sheng
    (Macquarie University, Australia)
    Philippe Fournier-Viger
    (Harbin Inst. of Tech., Shenzhen, China)
    Victoria Lopez
    (CUNEF University, Spain)
    Xiaodong Yue
    (Shanghai University, China)
    Zhichao Lian
    (Nanjing Univ. of Sci. and Tech., China)

    Publication Chair

    Mengqi Zhou
    (IEEE Beijing Section, China)

    Program Committee Members

    Amal Khabou
    (Université Paris Sud, France)
    Amin Chaabane
    (École de technologie supérieure, Canada)
    Ankur Bist
    (Govind ballabh pant university of agri. and tech., India)
    Bay Vo
    (Ho Chi Minh City University of Technology, Viet Nam)
    Beibei Wang
    (Nanjing University of Science and Technology, China)
    Bin Wu
    (Beijing University of Posts and Telecommunications, China)
    Bo Huang
    (Shanghai University Of Engineering Science, China)
    Bob Zhang
    (University of Macau, Macao)
    Chanchal K. Roy
    (University of Saskatchewan, Canada)
    Changming Zhu
    (Shanghai Maritime University, China)
    Chanjuan Liu
    (Dalian University of Technology, China)
    Chen Jue
    (East China Normal University, China)
    Chen Qiu
    (Northwestern Polytechnic University, China)
    Chenhong Cao
    (Shanghai University, China)
    Chenxi Huang
    (Xiamen University, Ghana)
    Christin Lindholm
    (Lund Universisty, Sweden)
    Chuliang Weng
    (Huawei Shannon Lab, China)
    Chunwei Tian
    (Northwestern Polytechnical University, China)
    Ci Lei
    (University of Bradford, United Kingdom)
    Dawei Cheng
    (Tongji University, China)
    Deng Pan
    (Florida international University, United States)
    Deqing Yang
    (Fudan University, China)
    Emanuel Grant
    (University of North Dakota, MPhil Student)
    Fan Liu
    (Hohai University, China)
    Fang Cao
    (Shanghai Maritime University, China)
    Fang Li
    (Nanyang Technological University, Singapore)
    Farid Nouioua
    (Aix-Marseille University, France)
    Ge Wang
    (Xi'an Jiaotong University, China)
    Gong Cheng
    (Nanjing University, China)
    Guanghui Zhu
    (Nanjing University, China)
    Guangyan Huang
    (Deakin University, Australia)
    Haitao Liu
    (Nanjing University, China)
    Han Ding
    (Xi'an Jiaotong University, China)
    Haopeng Chen
    (Shanghai Jiao Tong University, China)
    Hongfeng Yu
    (University of Nebraska-Lincoln, United States)
    Hongming Cai
    (Shanghai Jiao Tong University, China)
    Hongping Gan
    (Northwestern Polytechnical University, China)
    Hou Zhu
    (Sun Yat-sen University, China)
    Hu Chen
    (Sichuan University, China)
    Huang Ying
    (Chongqing University of Posts and Telecommunications, China)
    Huanjie Tao
    (Northwestern Polytechnical University, China)
    Huiyan Wang
    (Nanjing University, China)
    Jaakko Peltonen
    (Aalto University and University of Tampere, Finland)
    Jia Liu
    (Nanjing University, China)
    Jian Liao
    (Shanxi University, China)
    Jie Lin
    (Xi'an Jiaotong University, China)
    Jie Zhu
    (Nanjing University of Posts and Telecommunication, China)
    Jing Huo
    (Nanjing University, China)
    Jing Zhang
    (Nanjing University of Science and Technology, China)
    Jing Zhao
    (East China Normal University, China)
    Jinpeng Chen
    (Beijing University of Posts & Telecommunications, China)
    Jinsong Bao
    (Donghua university, China)
    Jorge Guerra
    (UNMSM, Peru)
    Jose Maria Luna
    (Dept. of Computer Science and Numerical Analysis, Spain)

    Juan Chen
    (College of Computer, National University of Defense Technology, China)
    Juan Wen
    (China Agricutural University, China)
    Jun Hu
    (Chongqing University of Posts and Telecommunications, China)
    Jun Zhou
    (East China Normal University, China)
    Jun-Feng Qu
    (Hubei University of Arts and Science, China)
    Jyrki Nummenmaa
    (Tampere University, Finland)
    Ka-Chun Wong
    (City University of Hong Kong, Hong Kong)
    Kai Zhang
    (Shanghai University of Electric Power, China)
    Kaiyu Dai
    (Fudan University, China)
    Ke Liu
    (Chongqing University of Posts and Telecommunications, China)
    Kendra Cooper
    (The University of Texas at Dallas, United States)
    Kiumi Akingbehin
    (University of Michigan, United States)
    Koji Hasebe
    (University of Tsukuba, Japan)
    Kostas Stefanidis
    (Tampere University, Finland)
    Kwok-Ping Chan
    (The University of Hong Kong, Hong Kong)
    Laing Xiao
    (Nanjing University of Science and Technology, China)
    Lei Gu
    (Nanjing University of Posts and Telecommunications, China)
    Liang Ge
    (Chongqing University, China)
    Liang Hu
    (University of Technology, Australia)
    Liang Wang
    (Nanjing University, China)
    Liangyu Chen
    (East China Normal University, China)
    Lianwei Wu
    (Northwestern Polytechnical University, China)
    Lifei Wei
    (Shanghai Ocean University, China)
    Ling Yin
    (Shanghai University of Engineering and Science, China)
    Lingfeng Bao
    (Zhejiang University, China)
    Linjing Wei
    (Gansu Agricultural University, China)
    Longyu Jiang
    (Southeast University, China)
    M. Saqib Nawaz
    (Peking University, Pakistan)
    Meng Wang
    (Southeast University, China)
    Miao Song
    (Shanghai Maritime University, China)
    Mourad Nouioua
    (Hunan University, China)
    Myoungkyu Song
    (University of Nebraska at Omaha, United States)
    Nan Niu
    (University of Cincinnati, United States)
    Ning Xu
    (Southeast University, China)
    Pascal André
    (LS2N - University of Nantes, France)
    Peng Jiang
    (Beijing Institute of Technology, China)
    Pierre Bourque
    (Ecole de technologie supérieure, Canada)
    Pin Wu
    (Shanghai Univer, China)
    Pinar Karagoz
    (Middle East Technical University, Turkey)
    Prof. Srikumar Krishnamoorthy
    (Indian Institute of Management, India)
    Qian Huang
    (Hohai University, China)
    Qing Li
    (Northwestern Polytechnical University, China)
    Ralph Deters
    (University of Saskatchewan, Canada)
    Ruifan Li
    (Beijing University of Posts and Telecommunications, China)
    Shangce Gao
    (University of Toyama, Japan)
    Shenhai Zheng
    (Chongqing University of Posts and Telecommunicatons, China)
    Songjie Wei
    (Nanjing University of Science and Technology, China)
    Sukanya Phongsuphap
    (Mahidol University, Thailand)
    Tao Wang
    (Northwestern Polytechnical University, China)
    Tianxing Wu
    (Southeast University, China)
    Tomi Janhunen
    (Tampere University, Finland)
    Tony Wong
    (École de technologie supérieure - University of Québec, Canada)
    Travis Desell
    (Rochester Institute of Technology, United States)

    Tzung-Pei Hong
    (National Univesity of Kaohsiung, Taiwan)
    Unil Yun
    (Sejong University, Republic of Korea)
    Wei Jiang
    (University of Electronic Science and Technology of China, China)
    Wei Song
    (North China University of Technology, China)
    Wei Wang
    (Wuhan University of Science and Technology, China)
    Weizhi Meng
    (Technical Universtiy of Denmark, Denmark)
    Wenjun Yu
    (Shanghai University Of Engineering Science, China)
    Xiafen Zhang
    (Shanghai Maritime University, China)
    Xiangling Fu
    (Beijing University of Posts and Telecommunications, China)
    Xiao Zhang
    (Shandong University, China)
    Xiaodong Dong
    (Tianjin University, China)
    Xiaodong Yue
    (Shanghai University, China)
    Xiaojun Zhou
    (Central South University, China)
    Xiaoke Ma
    (Xidian Univeristy, China)
    Xiaokun Wang
    (University of Science and Technology Beijing, China)
    Xiaoxin Tang
    (Shanghai University of Finance and Economics, China)
    Xiaoyan Jiang
    (Shanghai University of Engineering Science, China)
    Xin Deng
    (Chongqing Key Laboratory of Computational Intelligence, China)
    Xin Xu
    (Wuhan University of Science and Technology, China)
    Xing Wu
    (Shanghai University, China)
    Xingya Wang
    (Nanjing Tech University, China)
    Xu Zhang
    (Chongqing University of Posts and Telecommunications, China)
    Yali Liu
    (Jiangsu Normal University, China)
    Yan Fengting
    (Tongji University, China)
    Yan Jin
    (Huazhong University of Science and Technology, China)
    Yang Chen
    (Southeast Universty, China)
    Yang Wang
    (Missouri State University, United States)
    Yang Zou
    (Hohai University, China)
    Yanghe Feng
    (National University of Defense Technology, China)
    Yucheng He
    (Shanghai University of Finance and Economics, China)
    Yi Zhang
    (Nanjing University of Science and Technology, China)
    Yibiao Yang
    (Nanjing University, China)
    Yifei Lu
    (Nanjing University of Science and Technology, China)
    Yifeng Zhou
    (Southeast University, China)
    Yinglin Wang
    (Shanghai University of Finance and Economics, China)
    Yirui Wu
    (Hohai University, China)
    Yong Wang
    (Ocean University of China, China)
    Yongbin Gao
    (Shanghai university of engineering science, China)
    Yuanyuan Chen
    (Sichuan University, China)
    Yuanyuan Xu
    (Hohai University, China)
    Yu-Jie Xiong
    (Shanghai University Of Engineering Science, China)
    Yunlan Wang
    (Northwestern Polytechnical University, China)
    Yutao Ma
    (Wuhan University, China)
    Yuxiang Jia
    (Zhengzhou University, China)
    Zaipeng Xie
    (Hohai University, China)
    Zhang Xiaoxia
    (Chongqing University of Posts and Telecommunications, China)
    Zhang Yupei
    (Northwestern Polytechnical University, China)
    Zheying Zhang
    (Tampere University, Finland)
    Zhichao Lian
    (Nanjing University of Science and Technology, China)
    Zhigang Wang
    (Ocean University of China, China)
    Zhili Chen
    (East China Normal University, China)

    Important Dates

    Conference Date: December 17-19, 2021

    Full Paper Submission:September 30, 2021      
    October 25, 2021       November 12, 2021

    Acceptance Notification: November 20, 2021       December 1, 2021

    Registration and Final papers submissions Deadline:
    December 5, 2021       December 7, 2021

    Invited Speakers

    keynote speaker I
    Jie Lu

    Distinguished Professor
    IEEE Fellow, IFSA Fellow, Australian Laureate Fellow
    Director of Australian Artificial Intelligence Institute,
    University of Technology Sydney, Australia

    Speech Title:    Fuzzy Transfer Learning

    This talk will describe how fuzzy transfer learning can innovatively and effectively learn from data to support data-driven decision-making in uncertain and dynamic situations. The core idea behind fuzzy transfer learning is to leverage previously acquired knowledge to assist in completing a prediction task in a related domain by integrating fuzzy techniques with the transfer learning process. A set of new fuzzy transfer learning theories, methodologies, and algorithms is introduced, which transfers knowledge learned in one or more source domains to target domains. The fuzzy transfer learning set incorporates (1) a fuzzy refinement domain adaptation algorithm by utilizing the fuzzy system and similarity/dissimilarity concepts to modify the target instances' labels for classification; (2) fuzzy rule-based systems with mapping functions by building latent spaces to facilitate knowledge transfer for regression tasks in both homogeneous and heterogeneous scenarios; (3) unsupervised domain adaptation, to recognize newly emerged patterns in target domains that may be unlabelled. Patterns in target domains are recognized by leveraging knowledge from patterns learned from source domains and solutions to heterogeneous unsupervised domain adaptation via n-dimensional fuzzy geometry and fuzzy equivalence relations. These new developments can enhance data-driven prediction and decision support systems in complex real-world environments.

    Short Bio:
    Distinguished Professor Jie Lu is a scientist in the field of computational intelligence, primarily known for her work in fuzzy transfer learning, concept drift, recommender systems, and decision support systems. She is an IEEE Fellow, IFSA Fellow, and Australian Laureate Fellow. Currently, Prof Lu is the Director of the Australian Artificial Intelligence Institute (AAII) and Associate Dean (Research Excellence) at the Faculty of Engineering and Information Technology, University of Technology Sydney (UTS). She has published over 400 papers in leading journals and conferences; won 10 Australian Research Council (ARC) Discovery Projects and led 15 industry projects; and supervised 50 doctoral students to completion. Prof Lu serves as Editor-In-Chief for Knowledge-Based Systems and International Journal of Computational Intelligence Systems, and is a recognized keynote speaker, delivering 30 keynote speeches at international conferences. She is the recipient of the IEEE Transactions on Fuzzy Systems Outstanding Paper Award (2019), the Computer Journal Wilkes Award (2018), Australia's Most Innovative Engineer Award (2019), and the UTS Chancellor's Medal for Research Excellence (2019).

    keynote speaker II
    Vincenzo Loia

    Chair Professor
    Department of Management and Innovation Systems,
    University of Salerno, Italy

    Speech Title:    Empowering Cognitive Security Systems with Cyber Situation Awareness

    To solve the pressing security challenges of our era related also to threats such as terrorism and cyberterrorism, we need more creative approaches able to detect connections between relations, events and concepts in evolving contexts characterized by structured and unstructured data coming up from multiple sensors and human based networks. In this talk I propose the adoption of Cyber Situation Awareness (SA) to define systems able to handle such issues. Endsley provided a formal definition that considers SA as a three-phase process: perception of the elements of an environment in each time interval, comprehension of these elements and projection of their states into the near future. In detail, from a computational viewpoint, Cyber SA aims at formalizing and deducing situations (occurring in the real world) by processing, fusing and abstracting data and information. The Cyber SA approach needs to be populated with computational intelligence techniques, such as Granular Computing, fuzzy and rough sets, able to gather, pre-process, aggregate and filter data coming from sensors (both physical - coming from sensing devices - and virtual - coming from social networks), to sustain conceptualization and reasoning on situations. In this talk I present some concrete examples of applying the Cyber SA to safety & security and Intelligence Analysis for counterterrorism.

    Short Bio:
    Professor Vincenzo Loia received B.S. degree in computer science from University of Salerno , Italy in 1985 and the M.S. and Ph.D. degrees in computer science from University of Paris VI, France, in 1987 and 1989, respectively. From 1989 he is Faculty member at the University of Salerno where he teaches Safe Systems, Situational Awareness, IT Project & Service Management. His current position is as Chair and Professor of Computer Science at Department of Management and Innovation Systems. He is the coeditor-in-chief of Soft Computing and the editor-in-chief of Ambient Intelligence and Humanized Computing, both from Springer. He is an Associate Editor of various journals, including the IEEE Transactions on System, Man and Cybernetics: Systems; IEEE Transactions on Fuzzy Systems; IEEE Transactions on Industrial Informatics; IEEE Transactions on the IEEE Transactions on Cognitive and Developmental Systems. His research interests include soft computing, agent technology for technologically complex environments Web intelligence, Situational Awareness He was principal investigator in a number of industrial R&D projects and in academic research projects. He is author of over 390 original research papers in international journals, book chapters, and in international conference proceedings. He hold in the last years several role in IEEE Society in particular for Computational Intelligence Society (Chair of Emergent Technologies Technical Committee, IEEE CIS European Representative, Vice-Chair of Intelligent Systems Applications Technical Committee).

    keynote speaker III
    Shiliang Sun

    School of Computer Science and Technology,
    East China Normal University, Shanghai, China

    Speech Title:    Adversarial Attacks and Defenses for Multi-view Learning

    Deep models are highly susceptible to adversarial perturbations. Even if the benign examples are added with imperceptible perturbations, most of the models will output incorrect results. Utilizing the vulnerability of deep models to adversarial examples, adversaries can easily perform malicious attacks, which poses security concerns. Consequently, the robustness of deep models against adversarial attacks has become a crucial area of research. Although various kinds of single-view adversarial attacks and defense have been proposed, there is no specific research on the adversarial attacks and defenses for multi-view deep models. As we all know, multi-view models usually have superior performance. However, it is an open problem whether multi-view models are more robust to adversarial examples than single-view models. We investigate the relative robustness of the multi-view deep model and single-view model, propose effective multi-view adversarial attack and defense methods, and discuss some possible research thoughts on multi-view defenses.

    Short Bio:
    Shiliang Sun is a Professor with the School of Computer Science and Technology and the Head of the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China. His current research interests include kernel methods, multi-view learning, learning theory, approximate inference, and their applications. His research results have expounded in 100+ publications at peer-reviewed journals and conferences. Prof. Sun is on the Editorial Board of multiple international journals, including Pattern Recognition, Information Fusion and IEEE Transactions on Neural Networks and Learning Systems.

    Tutorial Speaker
    Dr. Yun Chen

    School of Information Management and Engineering,
    Shanghai University of Finance and Economics, China

    Speech Title:    Principles and Practice of Neural Machine Translation

    Machine translation is the use of a computer to translate text from one language to another language automatically. The machine translation systems can be divided to ruled-based machine translation, statistical machine translation and neural machine translation (NMT). Recent years, neural machine translation has become the mainstream model due to its superior performance and simple architecture. It has been widely deployed in various commercial translation systems, such as Google Translate, Microsoft Translator, Sogou Translator, DeepL Translator, etc. As an important and challenging research direction in the field of natural language processing (NLP), the techniques involved in NMT are also widely used in other NLP directions such as chatbot, knowledge graph, and question answering systems.
    In this tutorial, we will introduce the basic principles of neural machine translation, and then discuss the recent advances and challenges in neural machine translation, including the architecture of NMT, low-resource NMT, constrained decoding for NMT and the application of pretrained language models in NMT. Finally, we will share some research resources for NMT, such as publically available datasets and open source codebases.

    Short Bio:
    Yun Chen is an assistant professor at Shanghai University of Finance and Economics. She received the Ph.D. degree from The University of Hong Kong in 2018 and the bachelor degree from Tsinghua University in 2013. She was a visiting scholar with the Tsinghua Natural Language Processing Group and NYU CILVR Group. She has published dozens of research papers on top conferences and journals such as ACL,EMNLP,AAAI,IJCAI,ICLR, etc.
    Currently, she is the reviewer for ACL, EMNLP, AAAI, COLING, AACL, ACM TALLIP, JCST.

    1. Notice for authors

    This Guidline is only For AUTHORS whose paper has been already accepted by PIC-2021. The deadline for final camera-ready paper submission is December 07, 2021.
    Papers are published on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the IEEE Communications society will take action against any author who engages in either practice. Follow these links to learn more:

    2. How to prepare your final paper

    1. You should modify your paper carefully according to the review results.
    2. Your final camera ready paper must follow the IEEE Manuscript Templates Sample for conference proceedings ( Word Template ). You can also use LaTex and download the LaTex templates at Standard IEEE conference templates at here: templates at IEEE Website.
    3. Please carefully read the format details of the template, pay attension to the format of paper title, abstract, main text, figures, tables and references etc., and edit your paper accordingly.
      Failure to comply with the requirement of IEEE format for conference proceedings will result in the rejection of your paper being included in the conference proceedings.
    4. The text area (版芯) for each page in your paper should be consistent with the template of this conference, please do not let any text, figure and formulas overpass the specified area.
    5. Transform your final paper into PDF format. Do not insert any page number in your final paper (PDF file), do not add any password or restrictions to access it.
    6. The regular FULL REGISTRATION fee covers 5 pages of the paper, if your paper exceeds 5 pages, then an extra fee for the extra pages will be charged. For more information about it, please visit the registration section of the website.
    7. Besides the final camera-ready paper, you will be asked to submit the IEEE Copyright Form some days later. You will be informed about how to submit it afterwards.

    3. How to upload your final paper

    You should upload your final camera ready paper (including both PDF file and the source file) before the dealine through the following steps:

    1. compress (1) your final Camera-ready paper(pdf), (2) the source file of your paper and (3) the revision description(If you have made significant changes according to the review comments, please indicate the location and content of your changes) together into a ZIP file.
    2. log in to Easychair with your account through Final paper submission link
    3. choose your previous submission number (if you have different roles at easychair, please change your role to author role first)
    4. choose "Update file" from the upper right menu, and then follow the instruction to upload your ZIP package file.

    4. Register your paper before before the deadline

    You must complete Full Registration for your paper before the deadline. Otherwise, your paper will be excluded from the proceedings. You can find the Registration information (registration and payment method) in the Registration Section of this website.


    The Final Registration Policy

    The registration fee is 2200 RMB or 310 USD for a regular paper.
    For offline attendees without a paper, registration fee is 200RMB.


    Note: Each paper has 15 minutes time for presentation(including Q&A time), and authors should prepare 10-12 minutes PPT beforehand.

    More News


    The PIC 2021 is now call for workshop proposal, if you would like to organize a workshop at PIC-2021, Pleas send your proposal to picconf@yeah.net

    Contact Information




    Yucheng He, Tel: +86-13987647985
    School of Info. Mgt.& Engi. Bld., Shanghai University of Finance and Economics, 777 Guoding Road, Shanghai, China.