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SIGMOBILE China Symposium: Mobile Intelligent Computing

The emergence of smart mobile devices has brought a new computing paradigm pushing intelligence and processing capabilities down closer to where the sensor data originates. Mobile intelligent computing offers a natural vantage point for aggregating and analyzing sensor data from devices, and provides an ideal low-latency offload infrastructure to support lots of emerging intelligent applications. New challenges and opportunities arise as the consolidation of mobile computing meets intelligent computing. This workshop aims to provide a world's premier forum of renowned researchers to share their insightful opinions and discuss the scientific and technological challenges of mobile intelligent computing. The workshop will feature in two types of sessions including keynotes and panel discussion.


  • Huadong Ma (Beijing University of Posts and Telecommunications)
  • Xiangyang Li (University of Science and Technology of China)

  • Program

    2017-05-13 (Day 1):  SIGMOBILE

    Keynote Speech 1


    John Lui (The Chinese University of Hong Kong)
    Vulnerabilities and Privacy Leakage Detection for Android Systems

    Keynote Speech 2


    Suman Banerjee (University of Wisconsin-Madison)
    Edge Computing in the Extreme and its Applications

    Tea Break

    Keynote Speech 3


    Daqing Zhang (Peking University)

    Towards Centimeter-scale Human Activity Sensing with Wi-Fi Signals: Theory and Applications


    2017-05-14 (Day 2):  SIGMOBILE

    Keynote Speech 4


    Lili Qiu (UT Austin)

    Motion Tracking and Its Applications

    Keynote Speech 5


    Kun Tan (HUAWEI Technologies, Co. Ltd)

    From NFV to NFC: The challenges to scale software network functions

    Open Discussion


    Panelists: all the above invited speakers

    Internet of Things in the Tide of Artificial Intelligence




    Keynote 1: John C.S. Lui (The Chinese University of Hong Kong)
    ACM/IEEE Fellow

    Title: Vulnerabilities and Privacy Leakage Detection for Android Systems

    Abstract: In this talks, we will first describe ART, the latest Android runtime environment introduced by Google. The objective of this new runtime environment is to improve the performance of many Android apps. We will illustrate that this new runtime environment has a new attack vector, in particular, we discovered issues of unsecured memory layout of runtime, such that attackers can exploit these weaknesses to launch various buffer/stack overflow attacks. To counter this attack, we propose our system BLENDER, a customized ART compiler which can randomize return addresses of many apps. We also describe the possibility of privacy leakage in Android systems. And we present the design and implementation of TAINTART, a dynamic analysis system wherein one can perform taint-analysis of apps without knowing their source codes.

    Bio: John C.S. Lui is currently the Choh-Ming Li Chair Professor in the CSE Department at The Chinese University of Hong Kong (CUHK), and he is also the Associate Dean of Research at the Faculty of Engineering at CUHK. He received his Ph.D. in Computer Science from UCLA. His current research interests are in network sciences with large data implications, machine learning on large data analytics, network/system/mobile security, network economics, large scale distributed systems and performance evaluation theory. Currently, John is the senior editor in the IEEE/ACM Transactions on Networking, and has been serving in the editorial board of IEEE Transactions on Mobile Computing, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Performance Evaluation, Journal of Network Science and International Journal of Network Security. He is a member of the review panel in the IEEE Koji Kobayashi Computers and Communications Award committee, and has served at the IEEE Fellow Review Committee. He received various departmental teaching awards and the CUHK Vice-Chancellor's Exemplary Teaching Award, as well as the CUHK Faculty of Engineering Research Excellence Award. He is an elected member of the IFIP WG 7.3, Fellow of ACM, Fellow of IEEE, Senior Research Fellow of the Croucher Foundation and was the past chair of the ACM SIGMETRICS (2011-2015). His personal interests include films and general reading.


    Keynote 2: Suman Banerjee (UW-Madison)
    Chair of ACM SIGMOBILE, Winner of ACM SIGMOBILE Rockstar Award 

    Title: Edge Computing in the Extreme and its Applications

    Abstract: The notion of edge computing introduces new computing functions away from centralized locations and closer to the network edge and thus facilitating new applications and services. This enhanced computing paradigm is provides new opportunities to applications developers, not available otherwise. In this talk, I will discuss why placing computation functions at the extreme edge of our network infrastructure, i.e., in wireless Access Points and home set-top boxes, is particularly beneficial for a large class of emerging applications. I will discuss a specific approach, called ParaDrop, to implement such edge computing functionalities, and use examples from different domains -- smarter homes, sustainability, and intelligent transportation -- to illustrate the new opportunities around this concept.

    Bio: Suman Banerjee is a Professor in Computer Sciences at UW-Madison where he is the founding director of the WiNGS laboratory which broadly focuses on research in wireless and mobile networking systems. He received his undergraduate degree from IIT Kanpur, and MS and PhD degrees from the University of Maryland. He is the inaugural recipient of the ACM SIGMOBILE Rockstar award and a recipient of the NSF Career Award. He is a recipient of multiple award papers at various conferences, such as ACM MobiCom, ACM CoNEXT, and IEEE Dyspan. He is currently serving as the chair of ACM SIGMOBILE.


    Keynote 3: Daqing Zhang (Peking University)
    Vice Director of CCF Pervasive Computing Technical Committee

    Title: Towards Centimeter-scale Human Activity Sensing with Wi-Fi Signals: Theory and Applications

    Abstract: In this talk, I will introduce the Fresnel zone model as a new theoretic basis for non-intrusive human sensing with Wi-Fi signals. The theory not only reveals why human body movement produces wavelength-scale fluctuation in the received RF signal, but also sheds light on the sensing limit of Wi-Fi devices. Building on the Fresnel Zone Model and the frequency diversity of WiFi signals, centimeter-scale human activity sensing could be achieved. I will use human respiration detection, indoor localization as application examples to demonstrate the power of the proposed theory, real system demos will also be shown.

    Bio: Daqing Zhang is a Chair Professor at the School of EECS, Peking University, China and Vice Chair of CCF Pervasive Computing Technical Committee. His research interests include context-aware computing, mobile computing, big data analytics and pervasive elderly care. Dr. Zhang has published more than 200 technical papers in leading conferences and journals, where his work on context model is widely accepted by the pervasive computing, mobile computing and service-oriented computing communities. He served as the general or program chair for more than 10 international conferences, giving keynote talks at more than 17 international conferences. He is the associate editor for ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Big Data, IEEE Pervasive Computing, etc.. In recent years, he has been exploring new areas such as "Social and Community Intelligence (SCI)", "Mobile Crowd Sensing (MCS)" and "Contactless Sensing" which aim to push context-aware computing to new frontiers. Dr. Zhang is the winner of the Ten-years CoMoRea impact paper award at IEEE PerCom 2013, the Honorable Mention Award at ACM UbiComp 2016 and 2015, the Best Paper award at IEEE UIC 2015 and 2012, and the Best Paper Runner Up award at Mobiquitous 2011. Daqing Zhang obtained his Ph.D. from University of Rome “La Sapienza” in 1996.


    Keynote 4: Lili Qiu (UT Austin)
    Vice Chair of ACM SIGMOBILE, ACM Distinguished Scientist 

    Title: Motion Tracking and Its Applications

    Abstract: Video games, Virtual Reality (VR), Augmented Reality (AR), and Smart appliances (e.g., smart TVs and drones) all call for a new way for users to interact and control them. Motivated by this observation, we have developed a series of novel motion tracking technologies using acoustic signals. A unique feature of our approach is that it can achieve mm-level tracking accuracy on smartphones without special hardware. We further develop a few interesting applications on top of our motion tracking technology.

    Bio: Lili Qiu is a Professor at Computer Science Dept. in UT Austin. She got M.S. and PhD in Computer Science from Cornell University in 1999 and 2001, respectively. After graduation, she spent 2001-2004 as a researcher at System & Networking Group in Microsoft Research Redmond. She joined UT Austin in 2005, and has founded a vibrant research group working on Internet and wireless networks at UT. She has published 100+ papers and 22 issued patents. She is a recipient of NSF career award, Google Faculty Award, and ACM Distinguished Scientist. She currently serves as Vice Chair for ACM SIGMOBILE.


    Keynote 5: Kun Tan (HUAWEI Technologies, Co. Ltd)

    Title: From NFV to NFC: The challenges to scale software network functions

    Abstract: The industry of telecommunication has undertaken a profound change to embrace software-based network functions (NFs) to improve operation efficiency and support new applications like AR/VR and IoT. The trend, under the name of Network Function Virtualization (NFV), drives to consolidate various network equipments onto standard commodity servers, and thereby saving the management cost, space, increasing flexibility and avoiding vendor lock-in. While virtualising NF is a very good start point, we argue that the true benefit of software-based NFs can be achieved only when we *cloudify* them. Network Function Cloudification (NFC) leverages the cloud computing technologies to build large resource pools and automatically deploys and scales various NFs based on run-time demand. NFC is expecting to achieve higher performance, better availability and reliability, with high efficiency. This talk will discuss where we are in the road to NFC and the challenges laying forward.

    Bio: Dr. Kun TAN is Director and Chief Architect, Network Virtualization Lab, HUAWEI Technologies, Co. Ltd. Before joining HUAWEI, he was Senior Research Manager in Microsoft Research Asia, where he led the networking and wireless research. In past years, he has worked on many aspects on both wireless and computer networks. He has a long list of publications and also a regular reviewer on top international conferences such as ACM SIGCOMM, Mobicom, NSDI. He is an associate editor of IEEE Transaction on Mobile Computing.



    Topic: Internet of Things in the Tide of Artificial Intelligence

    Panelists: all the above invited speakers.