Author Archives: katekuen

Prof. Bo Li | Professor in the Department of Computer Science and Engineering, HKUST

Abstract: Cloud computing has taken the industry by a storm in the past decade, which, as the backend engine, has been affecting and improving our daily lives. One interesting aspect in this new computing paradigm is that communication take place not just at the edge of the system that interface with users, but plays a key role at the heart of datacenters, where large volumes of intermediate results have to be delivered to the next stage of data analytic jobs as quickly as possible, and video analytics is one of such examples with very high resource demands. In this talk, we will discuss the resource allocation for cloud computing in general, and present the case for scheduling multiple types of resources in the cloud, with the hope of supporting multiple co-existing jobs in a fair and efficient manner. With the recently introduced notion of coflow, a correlated group of flows, whose completion time is determined by the flow finishing last. We show the optimal solution relies on resolving a set of conflicting criteria, and we will illustrate some existing approaches and our endeavours along this direction.

Bio: Bo Li is a professor in the Department of Computer Science and Engineering, HKUST. He is also the Chief Technical Advisor for ChinaCache Corp. (a NASDAQ listed company), one of the leading CDN service providers in the world. He was a Cheung Kong Chair Professor in Shanghai Jiao Tong University (2010-2016).He was with IBM Networking System before joining HKUST in 1996. His recent research interests include: multimedia communications, large-scale content distribution in the Internet, datacenter networking, cloud computing, and wireless sensor networks.

He is a Fellow of IEEE. He made pioneering contributions in the Internet video streaming with a system called, Coolstreaming, which was credited as the first large-scale Peer-to-Peer live video streaming system in the world. The work received the Test-of-the-Time Paper Award from IEEE INFOCOM (2015), and USD 25M VC investment from Softbank Inc. He received the State Natural Science Award (2nd Class) and five Best Paper Awards from IEEE. He has been an editor or a guest editor for a dozen of IEEE and ACM journals and magazines. He was the Co-TPC Chair for IEEE INFOCOM 2004.

Bo Li He received his B. Eng. Degree in the Computer Science from Tsinghua University, Beijing, and his Ph.D. degree in the Electrical and Computer Engineering from University of Massachusetts at Amherst.

Dr. Shun-Yun Hu | Co-Founder of Imonology Inc., Taiwan

Abstract: As we start to experience exponential growth in tech and productivity in certain areas, some pioneers are foreseeing a future where most society members do not need to work (in the traditional sense) for the society to support itself in most basic needs. Universal Basic Income (UBI) therefore has been proposed as a remedy to protect against the loss of job security, in a future where productivity of physical goods might far exceed demands.

Developments in Virtual Reality (VR) and Virtual Environments (VE) on the other hand, might just fill in the gap for people to find something to do and to work on, in a space that is literally limited only by humanity's imagination.

In this talk I will present both a "Good" and a "Bad" scenario of how this future might go, so that as researchers and technologists, we might start to reflect and think about how our works might impact society, knowingly or unknowingly, into humanity's bright (or dim) future. In hope that we will collectively secure ourselves a future that we all want to live in.

syhu Shun-Yun has been doing research in scalable virtual environments using peer-to-peer (P2P) techniques since 2003, and has published his works as both research papers and free software projects (VAST and Scalra). After adventuring in Sierra games at 7 and Ultima VII later, Shun-Yun has since been fascinated by the possibilities of games and virtual worlds, and co-founded Imonology in 2010 to make virtual world creation easier and more affordable. Shun-Yun is also dad to two vegetarian kids and has a Ph.D degree in computer science from National Central University.

Polly Huang | Professor at National Taiwan University

Abstract: As the proportion of the multimedia/game traffic over the Internet through wireless and mobile access rises and the world economy recovers slowly, the issue of streaming real-time content cost-effectively is ever more pressing. The key question to address here is how to satisfy more (paying) users given limited resources. Users switch to other services/games because they can't hear/see the content well, not because they detect the fine-grained changes in network loss, delay or jitter, so called Quality of Service (QoS). Over the years, the Internet engineers, although getting very good at designing for QoS, have overlooked the fact that users might not perceive the subtle quantitative difference in QoS metrics to the overall user experience. Towards a user-friendly, therefore economically healthy, mobile Internet, we see the need to measure, understand, and redesign various control mechanisms for quality of user experience (QoE), in addition to the QoS. Using Skype/SILK VoIP service as an example, we show how one (1) measures QoE of calls delivered of different QoS, (2) derives models that translate from QoS to QoE, and (3) exploits the model for a design that pleases the users more under the same resource constraint.

pollyhuang-in-office-smile-1Bio: Polly is a professor at the Department of Electrical Engineering of National Taiwan University (NTU EE). Polly received her PhD from USC (CS 1999) and her BS from NTU (Math 1993). Before returning to NTU, she spent the early days of her career at AT&T Labs-Research, ETH Zurich, and UCLA. Polly was also a visiting scientist at CSAIL MIT Fall 2013. Over the past 20+ years, Polly has random walked a number of projects under the big umbrella of network and system research, including multicast routing, network simulation, Internet measurement, performance modeling, QoS, sensor networking, indoor localisation, delay-tolerant networking, time synchronisation, mobile system, event/activity inference, ubiquitous and wearable computing, e-health, and etc. The experience has nurtured her interest in design, analysis, and applications of communication networks and systems in general. Her recent interest spans the following 2 areas: multimedia networking and mobile/sensor system. Polly has (co-)authored over 100 technical articles and over 10 US patents. She has served as a TPC member for a number of high-profile network/system conferences, including ACM Sensys, Mobisys, Sigcomm, Mobicom. She has also served as an associate editor of ACM TOSN, and currently an associate editor of ACM IMWUT. She is a member of the ACM and IEEE.

Dr. Julien Lai | Director of the Applied DL team of NVIDIA APAC Region

Abstract: One of the grand challenges of AI is to understand video content. Applications are endless: video surveillance, self-driving cars, live video streaming, ad-placement, etc. Problem is that Deep Learning, which has been boosting modern AI, is computationally expensive. It’s even more challenging when it comes to live stream video. Chip manufacturers are continuously pushing the edge of current IC technology to achieve both high throughput/performance, and high power efficiency. Engineers have also applied techniques such as network pruning, low precision, and model compression, to further accelerate network inference. That is also why our team are building the NVIDIA DeepStream SDK, which simplifies development of high performance video analytics applications powered by deep learning. We have seen successful large-scale deployment of such intelligent video analytics systems, and we see this as an unstoppable trend.

jlaiBio: Dr. Junjie Lai received his bachelor and master degrees from Tsinghua University, and received his PhD degree from INRIA, France. His PhD research focused on GPU architecture study, performance analysis and optimization.

Dr. Lai is currently the director of the HPC software development and Applied Deep Learning team of NVIDIA APAC region. Besides leading the team, he is collaborating with developers from many well-known internet companies, to better accelerate their deep learning applications with NVIDIA GPUs. His primary focus now is to apply Deep Learning/Machine Learning techniques for various real-world problems in Computer Vision, Finance, etc.

Prof. Dah Ming Chiu | Research Professor of Chinese University of Hong Kong

Abstract: Due to recent advances in VR and AR technology and applications, more and more videos streamed on-line become 360 degree and 3D. This creates new challenges for video streaming when bandwidth is limited. Besides adapting video resolution to bandwidth, there is also opportunity to adapt what to stream to user attention, or content creator's wish for focus. This opens up exciting opportunities for interesting research. We will describe some existing work (industry seems to be leading the way in this space), and discuss our own efforts.

dmchiu14aBio: Dah Ming received undergraduate degree from Imperial College London, and PhD from Harvard University. After serving in industry (AT&T Bell Labs, DEC, Sun Microsystem), he joined CUHK in 2002 as a professor, and served as department chairman from 2009 to 2015.

His recent research interests include Internet content distribution, data-driven modeling and analysis of large scale systems, and network economics. He has also worked on analyzing academic social networks, and mining insights on academic research trends and evaluation methodology. Dah Ming is an IEEE Fellow. He served as an Associate Editor for IEEE/ACM Transactions on Networking from 2006 to 2011 and TPC member for many networking conferences. He was the general co-chair of ACM Sigcomm 2013 held in Hong Kong in August of 2013, with record breaking attendance.

Sega Cheng | Co-founder/CEO of StraaS and LIVEhouse

Abstract: Video is hard in both technical and business perspectives. As internet users shift their eyeballs and time to videos, fragmented infrastructure, limited bandwidth, variable user behaviors, and volatile revenue models, among others, have entangled to form unique challenges in the business world of our time. In this talk, Sega will share his years of experience in internet videos, covering technical challenges and business opportunities in the future.

segaBio: Sega Cheng is co-founder and CEO of IKALA (愛卡拉), with the mission to enable customers’ online video business. Its’ enterprise product, is a video SaaS platform for customers to build their video applications. IKALA is also the owner of, a well-known live content production team in Asia. He is sitting at the board of Gamania, one of the largest gaming companies in Asia. He is also an advisor of Taipei City Hall. He was an advisor at Youth Advisor Group, reporting directly to the prime minister of Taiwan.

Sega had been a software engineer in Google for 6 years, where he participated in a wide a spectrum of important projects during the term, including Android media, web search infrastructure, Google maps, and iGoogle. He received his master degree from Stanford University, specializing in artificial intelligence in computer science department.

Dr. Shannon Chen | Research Scientist, 360 Media Team, Facebook

Abstract: Semantics-aware (context-aware) content delivery framework is a conceptual framework proposed in recent years to introduce high level inputs from physical and psychophysical regimes to resolve system level trade-offs in a complex multimedia service. As a successful example of adopting semantic-awareness, 360 video service at Facebook is enabled as a feasible medium for its billion-scale users to share and experience with one another in a more media-enriched immersion. Join me in this talk to hear about the journey of how it happened.

shannonBio: Dr. Shannon Chen is a research scientist at Facebook. As an original member of the VRApps team where all 360 research at Facebook begins, he is the inventor of the renowned Pyramid Projection and a core developer of Dynamic Streaming. Dr. Chen received his PhD in Computer Science from University of Illinois at Urbana-Champaign (UIUC). He is the recipient of Saburo Muroga Fellowship, a member of the Phi Tau Phi Scholastic Honor Society, and was a board member of the Graduate Academic Council of UIUC. Chen has published in ACM MMSYS, ACM TOMM, IEEE/ACM TON, ACM SIGCOMM, ACM Multimedia, IEEE INFOCOM, and has been awarded best presentation (2016), best paper nominee (2013), and the winner of ACM Multimedia Grand Challenge (2013).

Prof. Chung-Ta King  | National Tsing Hua University, Taiwan

Dr. Chun-Han Lin | National Taiwan Normal University, Taiwan

Abstract: Mobile phones are indispensable in our daily life. We conduct many daily activities through our phones. Mobile phones have many interesting features. They are highly interactive and personalized, very rich in displayed contents, constrained in power and heat dissipation, and yet required to deliver very high quality of services. Although new ways of user interactions are emerging, mobile phones nowadays interact with their users primarily through the display. Users’ Quality of Experience (QoE) is thus affected in a large part by the quality at which the display can present the contents. A major challenge for mobile phone developers is to provide increasingly rich QoE through the display while reducing power consumption.

A general strategy to address the challenge is to schedule the resources of the phone, e.g. CPU, GPU, display, etc., to deliver a display quality that satisfies user’s QoE just enough. The question is how to know the users' acceptable display quality that can be used to guide resource scheduling. A suitable metric is difficult to get because it is subjective, personalized, and dependent on the contexts. Apparently, there is a need to understand the relationship between user contexts, user perceived display quality, interactive workload characteristics, and system resource utilization.

In this overview talk, we first examine how mobile phones display contents on the screen and common resource scheduling strategies considering user QoE. We then discuss how to conduct experiments on and collect data from real users to understand the effects of contexts on interactive workloads and user perceived display quality. Finally, we give an overview of context-aware design for displays on mobile phones, considering particularly the user context, user experience, network effects, and power consumption.

chung-ta-kingBio: Chung-Ta King is a professor in Department of Computer Science and the director of Computer and Communication Center at National Tsing Hua University. He received the Ph.D. degree from Department of Computer Science, Michigan State University in 1988. His research interests include parallel and distributed processing, embedded systems, and computer architecture. He has organized and served in several major international conferences, including IEEE Cluster 2017, IEEE SC2 2017, IEEE ICPADS 2014, IEEE CloudCom 2013, and ESWeek 2011.

chun-han-linChun-Han Lin is an assistant professor in the Department of Computer Science and Information Engineering at National Taiwan Normal University. He received the Ph.D. degree from the Department of Computer Science at National Tsing Hua University in 2010. His research interests include embedded systems and sensor networks.

Congratulation to the below students for selected as a Travel Grant recipient.  Please note to check your email box and we will contact you very soon.  This year the number of student travel grant applications is far beyond our expectations, so the competition is quite fierce.  Our sincere congrats to all the recipients and regret for those applicants who didn't receive the grant.  We hope to see you all in June at Taipei!

  • Estêvão Bissoli Saleme, Federal University of Espírito Santo, Brazil
  • Maryam Amiri, Ottawa University, School of computer and electrical engineering
  • Kanchan Anil Bahirat, The University of Texas at Dallas, Texas
  • Vengatanathan Krishnamoorthi, Department of Computer and Information Science, Linkoping University, Sweden
  • Saman Zadtootaghaj, the Quality and Usability Group, a joint research institute of Technische Universität Berlin and Deutsche Telekom Innovation Laboratories in Germany
  • Christopher James Bryan, University of California, Davis, USA
  • Christian Koch, Technische Universität Darmstadt, Germany
  • Junjue Wang, Carnegie Mellon University, USA
  • Divyashri Bhat, University of Massachusetts, Amherst, MA, United States of America
  • Jan wmem Kleinrouweler, Centrum Wiskunde & Infonnatica (CWI), Dutch
  • Nan Jiang, University of Nebraska-Lincoln (USA)
  • Trevor Cole Ballard, University of Central Florida, USA
  • De-Yu Chen, University of California, Irvine, USA
  • Ming Ma, Tsinghua University, China
  • Satadal Sengupta, Indian Institute of Technology (IIT), Kharagpur, India
  • Chao Zhou, Department of Computer Science at Binghamton University in the United States

Sam Ding | VMFive CEO

Abstract: The technology of app streaming, including mobile virtual machine, hybrid cloud infrastructure and adaptive streaming will be presented in this talk. There are several real cases will be shared to understand the pros and cons when using app streaming. Finally, we will think about the trend of app streaming.

sam-ding-2Bio: Sam Ding is the founder and CEO of VMFive, works on the mobile virtualization, app streaming and programatic advertising technology. When he studied Ph.D. degree in NTHU, he led three advanced simulation and virtualization projects, PQEMU,  ARMvisor and HSAemu. In 2011, PQEMU had two parallelization models to accerlate the simulation speed of QEMU and the the publication of PQEMU won the best paper award in ICPADS 2011. In 2012, the ARMvisor can run multiple embedded virtual machines on an ARM based mobile platform. In 2014, the HSAemu was the first system level emulator for HSA platform, which can do co-simulation of CPU and GPU to run unmodified OpenCL program. From 2014, he has found several startups to make innovations on mobile and cloud technology.