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Lightning Research Introduction Seminars Series 4 (Fall 2015)
12 October 2015 (Monday)
Seminar: Lightning Research Introduction Seminar (4)
Date: 12 October 2015 (Monday)
Time: 4-5pm (light refreshment will be arranged outside the LTF after the seminar)
Venue: LTF (near lifts 25/26), HKUST
Host: Prof. S.C. CHEUNG (Associate Head of Dept.)
Speakers: CSE Faculty Members
- Shing-Chi CHEUNG
- Sunil ARYA
- James KWOK
- Albert CHUNG
- Raymond WONG
- Wilfred NG
- Bo LI
- Dit-Yan YEUNG
- Ting-Chuen PONG
- Pedro SANDER
Schedule:
Time | Speaker | Talk Title | Abstract | Slides | Video |
---|---|---|---|---|---|
4:00-4:05pm | Prof. Shing-Chi CHEUNG | Finding Deep Bugs in Software | Abstract | Slides | Playback |
4:05-4:10pm | Dr. Sunil ARYA | Approximate Nearest Neighbor Searching | Abstract | Slides | Playback |
4:10-4:15pm | Prof. James KWOK | Learning from Data | Abstract | Slides | Playback |
4:15-4:20pm | Prof. Albert CHUNG | Medical Image Analysis | N/A | N/A | Playback |
4:20-4:25pm | Dr. Raymond WONG | Big Data Analytics on Big Spatial Database | Abstract | Slides | Playback |
4:25-4:30pm | Dr. Wilfred NG | Searching Microblogs - Big Topics on Big Data | Abstract | Slides | Playback |
4:30-4:35pm | Prof. Bo LI | The Internet-based Computing and Datacenter Networks | Abstract | Slides | Playback |
4:35-4:40pm | Prof. Dit-Yan YEUNG | Sequence-to-Sequence Learning | Abstract | Slides | Playback |
4:40-4:45pm | Prof. Ting-Chuen PONG | Digital Technologies for E-learning | Abstract | Slides | Playback |
4:45-4:50pm | Dr. Pedro SANDER | Exciting Rendering and Imaging Problems in Computer Graphics | Abstract | Slides | Playback |
4:50-5:00pm | Q&A Session | Playback |
Full Video Playback
Abstracts
Talk 1 Title: "Finding Deep Bugs in Software" Speaker: Prof. Shing-Chi CHEUNG Abstract: Finding bugs in software is known to be difficult even for experienced software developers. Deep bugs are those that have not been identified by developers or exposed by existing test cases. We may even not be able to have good oracles to detect them. Finding these bugs automatically is a non-trivial research challenge. In the lightening talk, I will review this research challenge and our latest attempts on open source systems, Android apps and spreadsheets.
Talk 2 Title: "Approximate Nearest Neighbor Searching" Speaker: Dr. Sunil ARYA Abstract: I will briefly talk about my research on the approximate nearest neighbor problem.
Talk 3 Title: "Learning from Data" Speaker: Prof. James KWOK Abstract: I will outline my past and current machine learning research.
Talk 5 Title: "Big Data Analytics on Big Spatial Database" Speaker: Dr. Raymond WONG Abstract: Nowadays, location-based services (LBSs), which refer to those services that are based on location (or spatial) data, are broadly used in our daily life. In this talk, we will talk about the recent development of LBSs. Some examples are "Search-nearby", "Spatial Crowdsourcing", "Trace Tracking" and "Shortest Distance.
Talk 6 Title: "Searching Microblogs - Big Topics on Big Data" Speaker: Dr. Wilfred NG Abstract: In recent years, we have seen the emergence of the concept of big data. We also see that microblogs is everywhere - a very typical and important kind of big data. Microblogs are short length, unstructured and have diverse topics. The data are generated in high volume by users in the scale of second. In the seminar, I would highlight some research issues of microblogs our group has been working on.
Talk 7 Title: "The Internet-based Computing and Datacenter Networks" Speaker: Prof. Bo LI Abstract: This talk presents a highlight of my current research on the Internet-based computing and datacenter networking.
Talk 8 Title: "Sequence-to-Sequence Learning" Speaker: Prof. Dit-Yan YEUNG Abstract: While machine learning tasks such as object recognition and spam filtering typically do not represent both the input and output as sequences, a number of real-world applications require learning the association between input and output sequences. This setting is referred to as sequence-to-sequence learning. In this flash of lightning, I will highlight sequence-to-sequence learning as a common theme underlying some of my ongoing research projects.
Talk 9 Title: "Digital Technologies for E-learning" Speaker: Prof. Ting-Chuen PONG Abstract: Recent advances in e-learning technologies have led to transformative changes in the landscapes of education from K-12 to higher education to professional and continuing education. The proliferation of Massive Open Online Courses (or MOOCs) has generated optimism about realizing the dream of providing education for all while delivering personalized learning at scale. In this talk, I will discuss research opportunities in some challenging areas including learning analytics from structured and unstructured data, knowledge mining from e-learning content, and multimedia and VR tools for e-learning.
Talk 10 Title: "Exciting Rendering and Imaging Problems in Computer Graphics" Speaker: Dr. Pedro SANDER Abstract: In this brief 5-minute talk, I will highlight some interesting recent results and potential research directions for 3D rendering and Imaging research problems.