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Lightning Research Introduction Seminars Series 3 (Fall 2015)
5 October 2015 (Monday)
Seminar: Lightning Research Introduction Seminar (3)
Date: 5 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. Huamin QU (PG Coordinator)
Speakers: CSE Faculty Members
- Ke YI
- Nevin ZHANG
- Xiaojuan MA
- Brian MAK
- Kai CHEN
- Charles ZHANG
- Pan HUI
- Cunsheng DING
Schedule
Time | Speaker | Talk Title | Abstract | Slides | Video |
---|---|---|---|---|---|
4:00-4:05pm | Dr. Ke YI | Small Summaries for Big Data | Abstract | Slides | Playback |
4:05-4:10pm | Prof. Nevin Zhang | Latent Tree Models and Applications | Abstract | Slides | Playback |
4:10-4:15pm | Dr. Xiaojuan MA | Multimodal Interaction @ Social-Digital Media | Abstract | Slides | Playback |
4:15-4:20pm | Dr. Brian MAK | Automatic Speech Recognition | Abstract | Slides | Playback |
4:20-4:25pm | Dr. Kai CHEN | Networked Systems for Big Data and Clouds | Abstract | Slides | Playback |
4:25-4:30pm | Dr. Charles ZHANG | Stop the Bleeding from the Heart | Abstract | Slides | Playback |
4:30-4:35pm | Dr. Pan HUI | From Connecting People to Connecting People with Machines | Abstract | Slides | Playback |
4:35-4:40pm | Prof. Cunsheng DING | My Past and Current Research | Abstract | Slides | Playback |
4:40-5:00pm | Q&A Session | Playback |
Full Video Playback
Abstracts
Talk 1 Title: "Small Summaries for Big Data" Speaker: Dr. Ke YI Abstract: The main approach for dealing with big data is to scale up / out computation. My research, however, takes the complimentary approach of scaling down data. In this talk, I will discuss a few applications and projects on how data summarization techniques can be used to tackle the big data challenge.
Talk 2 Title: "Latent Tree Models and Applications" Speaker: Prof. Nevin ZHANG Abstract: Latent tree models are a class of probabilistic models with multiple latent variables. They are a tool for latent structure discovery, co-occurrence detection, and multidimensional clustering. They have been used to detect topics in text data, and to analyze survey data from marketing research and social sciences. They have also been used to solve some fundamental problems in traditional Chinese medicine.
Talk 3 Title: "Multimodal Interaction @ Social-Digital Media" Speaker: Dr. Xiaojuan MA Abstract: I will give a brief overview on the three directions of my current research focus - multimodal interaction with and through social-digital media: 1) social interaction through digital media; 2) interaction in social media with rich digital contents; and 3) interaction with integrated social-digital media.
Talk 4 Title: "Automatic Speech Recognition" Speaker: Dr. Brian MAK Abstract: I will give a 5-minute crash tutorial on acoustic modeling for automatic speech recognition.
Talk 5 Title: "Networked Systems for Big Data and Clouds" Speaker: Dr. Kai CHEN Abstract: In this talk, I will introduce the networked systems research conducted in our group, with an emphasis on a real infrastructure platform we built, and a simple yet practical and effective flow scheduling framework we implemented on top of it (http://sing.cse.ust.hk/projects/PIAS).
Talk 6 Title: "Stop the Bleeding from the Heart" Speaker: Dr. Charles ZHANG Abstract: Buffer-overflow, one of the first known computer security problems, is essentially caused by programming mistakes. Unfortunately, in the past 30 years since its first appearance, buffer overflow bug remains as one of the deadliest security bugs, e.g., the recent ssl heartbleed fiasco. In the talk, I will provide an anatomy of the SSL heartbleed bug and highlight the challenges we need to overcome to automatically detect such problems.
Talk 7 Title: "From Connecting People to Connecting People with Machines" Speaker: Dr. Pan HUI Abstract: In this talk I will briefly introduce my research journey in networking and human computer interaction.
Talk 8 Title: "My Past and Current Research" Speaker: Prof. Cunsheng DING Abstract: In this five-minute talk, I will outline my past and current research in layman's terms, so that the audience will get a quick understanding of my research topics.