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Workshop: The Career of the Young in the Emerging Field


Computing technology has witnessed a rapid development over the last decades, revolutionizing not only the industry, but also the traditional sciences. Young computer scientists are given tremendous opportunities in this development. The overwhelming opportunities bring equal amount of responsibilities, and oftentimes dilemmas – following the trendy topics vs. sticking to one’s own ground, technology transfer vs. cutting edge research, career development vs. family commitment, etc. This forum brings together several rising stars in our field to share their experiences, views, and perhaps, struggles of their own. The panel in the end also invites ‘old timers’ as well as the wide audience to engage in a stimulating discussion.


Organizers


  • Baoquan Chen (Forum Chair, Shandong University)
  • Lin Lv (Coordinator, Shandong University)
  •  

    Program



    2017-05-12 (Day 1)  

    Opening Remarks

    14:00-14:20

    Baoquan Chen (Shandong University)

    Invited Talks

    14:20-14:45

    Guoliang Li (Tsinghua University)
    The Do's and Don'ts for Young Researchers

    14:45-15:10

    Hui Huang (Shenzhen University)
    The Thrilling Life of A Female Researcher

    15:10-15:35

    Min Yang (Fudan University)
    Small Steps to A Wild World

    15:35-16:00

    Shiguang Shan (Chinese Academy of Sciences)
    The Good, the Bad and the Ugly of Tech Transfer

    16:00-16:25

    Haibo Chen (Shanghai Jiao Tong University)
    Bridging the Gap between Academia and Industry: A System Researcher's Perspective

    Tea Break
    16:25-16:40

    Panel Discussion

    16:40-18:00

    Moderator: Baoquan Chen (Shandong University)
    Panelists: Wen Gao (Peking University), Lionel M. Ni (Macau University), Guoliang Li
    (Tsinghua University), Hui Huang (Shenzhen University), Min Yang (Fudan University), Shiguang Shan (Chinese Academy of Sciences), Haibo Chen (Shanghai Jiao Tong University)

     

     

    Invited Talks



    Guoliang Li (Tsinghua University)

    Title: The Do's and Don'ts for Young Researchers

    Abstract: Young researchers often face difficulties on research development, students training, proposal writing, academic service and social activities, more so early in their career. In this talk I will speak out of my personal experience on career planning and focus on the do’s and don’ts for young researchers.

    Bio: Guoliang Li is an associate professor at the Department of Computer Science, Tsinghua University, Beijing, China. His research interests include big spatio-temporal data analytics, crowd computing, large-scale data cleaning and integration. He has published more than 80 papers in premier conferences and journals, such as SIGMOD, VLDB, ICDE, SIGKDD, SIGIR, TODS, VLDB Journal, and TKDE. He is a PC co-chair of WAIM 2014, WebDB 2014, and NDBC 2016. He has regularly served as the PC members of many premier conferences, such as SIGMOD, VLDB, KDD, ICDE, WWW, IJCAI, and AAAI. His papers have been cited more than 3600 times. He received IEEE TCDE Early Career Award, Young ChangJiang Scholar, NSFC Excellent Young Scholars Award, CCF Young Scientist.

     

    Hui Huang (Shenzhen University)

    Title: The Thrilling Life of A Female Researcher

    Abstract: In this presentation, I would like to share some experiences, probably more accurate to say "some feelings", from my research life, in particular, from a female researcher point of view. The life can never be peaceful as a scientist, a faculty, a wife and a mother of two kids. So, how thrilling can it be? How better can it be?

    Bio: Hui Huang is now a Distinguished Professor of Shenzhen University, where she directs the Visual Computing Research Center (VCC). She received her PhD in Applied Math from The University of British Columbia in 2008 and another PhD in Computational Math from Wuhan University in 2006. She is the recipient of NSFC Excellent Young Researcher program and Guangdong Technology Innovation Leading Talent award in 2015. Her research interests are mainly on Computer Graphics and Scientific Computing. She is currently a Distinguished Member of CCF, Senior Member of ACM, Associate Editor-in Chief of The Visual Computer and is on the editorial board of Computer Graphics Forum and Frontiers of Computer Science. She has served on the program committees of all major computer graphics international conferences, and is SIGGRAPH ASIA 2017 Technical Briefs and Posters Chair, SIGGRAPH ASIA 2016 Workshops Chair and SIGGRAPH ASIA 2014 Community Liaison Chair.

     

    Min Yang (Fudan University)

    Title: Small steps to a wild world

    Abstract: How to do the most valuable work with great impact is an essential question to young research fellows. However, it is often likely to be ignored in many cases, especially in the early stage of our academic career, due to the limited resources we could possibly get at this time. The speaker would like to share his thoughts about how to deal with these problems and confusions for the young researchers.

    Bio: Min Yang is now a professor of Fudan University, where he directs the system and security lab at the School of Software. He pioneered the research of mobile system security in china, and presented systematic analysis techniques for reconstructing sensitive behaviors in Android apps from a novel permission use perspective. This work brings many achievements in the research of privacy leakage detection, fine-grained access control mechanism of mobile OS and vulnerability detection of mobile applications. He is the principle scientist of the State Key Development Program for Basic Research of China, theory and key technologies of detecting and restricting the malicious behaviors in mobile applications.

     

    Shiguang Shan (Chinese Academy of Sciences)

    Title: The Good, the Bad and the Ugly of Tech Transfer

    Abstract: Technology transfer via industry-University cooperation is important in the innovation system of a country. But, it is easier said than done. In practice, there are many challenges in this process, which roots from the essential difference of the goal and evaluation criteria of the two communities. In this talk, I will analyze these challenges and discuss possible solutions based on my own experience.

    Bio: Shiguang Shan is now a full Professor with the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), where he received the Ph.D. degree in computer science in 2004. He is now the executive director of the Key Lab of Intelligent Information Processing of CAS. He is also the founder/Chairman/CTO of CAS Seeta Tech. Inc. He published more than 200 academic papers in refereed journals and proceedings in the areas of Computer Vision and Pattern Recognition, and his work has been cited more than 10,000 times in Google scholar. He especially focuses on face recognition related researches. He has served as Area Chair for a number of international conferences including ICCV’11, ICPR’12, ACCV’12, FG’13, ICPR’14, and ICASSP’14. He is Associate Editor of the IEEE Trans. on Image Processing, the Neurocomputing, the Journal of Computer Vision and Image Understanding, and the EURASIP Journal of Image and Video Processing. He is the winner of the China’s State Natural Science Progress Awards in 2015 for his work on non-linear visual modeling and learning, the China’s State Scientific and Technological Progress Awards in 2005 for his work on face recognition technologies, and the Best Student Poster Award Runner-up in CVPR’08. He also won the NSFC excellent young scientific fund in 2012 and the CCF young scientist award in 2015.

     

    Haibo Chen (Shanghai Jiao Tong University)

    Title: Bridging the Gap between Academia and Industry: A System Researcher's Perspective

    Abstract: There is always a good ecosystem between academia and industry for computer science research: cutting-edge research results are either quickly transferred from academia to industry or directly reproduced by top researchers in industry. However, while they share much commonality, academic and industry research usually have different focuses. In this talk, I will describe my initial experience of leading an industry research lab (Huawei’s Operating System Kernel Lab) while still being a Professor in academia directing an academic research lab (Institute of Parallel and Distributed Systems at Shanghai Jiao Tong University). Specifically, I will share my experience of transferring research ideas and prototypes to a product or a product feature and describe my lessons learnt to further tighten the connection between academia and industry.

    Bio: Haibo Chen is a Professor at the School of Software, Shanghai Jiao Tong University, where he leads the Institute of Parallel and Distributed Systems (IPADS) (http://ipads.se.sjtu.edu.cn). He is currently on leave at Huawei to lead the Operating System Kernel Lab. Haibo’s main research interests lie in building scalable and dependable systems software by leveraging cross-layering approaches spanning computer hardware system virtualization and operating systems. He received best paper awards from ICPP, APSys and EuroSys, a best paper nominee from HPCA, the Young Computer Scientist Award from China Computer Federation, the distinguished Ph.D thesis award from China Ministry of Education and National Youth Top-notch Talent Support Program of China. He also received fault research award/fellowship from NetApp, Google, IBM and MSRA. He is currently the steering committee co-chair of ACM APSys, the general co-chair of SOSP 2017 and serves on program committees of SOSP 2017, ASPLOS 2017, Oakland 2017, EuroSys 2017, CCS 2017 and FAST 2017 as well as the editorial board of ACM Transactions on Storage.