Welcome to HKUST AI Seminar, a series of talks given by experts from across the country related to different areas of artificial intelligence.
- Time: 04:30PM - 05:20PM, Thursday (AIAA 6101) / 11:00AM - 11:50AM, Friday (AIAA 6102)
- Location: Rm 101, E1 (AIAA 6101) / Rm 134, E1 (AIAA 6102)
- Canvas: AIAA 6101 / AIAA 6102
- Target Audience/ Prerequisites: This is a graduate course primarily for graduate students.
- Grading will be based on attendance. You will need to maintain an attendance rate above 80% to receive a passing grade for each course. If not, you will be asked to write an essay of at least 6 pages (double-column) about one of the speaker's work to get a passing grade. This grading policy is similar to that of LTI Colloquium @CMU.
- How to measure attendance: Before each lecture, please sign your name on any one of the sheet to be counted. If you are joining via Zoom, you must turn on your camera to be counted. We will record the list of Zoom participants at the end of the lecture. Only five Zoom attendances are allowed for each course, as this is primarily an in-person course. You can find the Zoom link in the internal posters on Canvas. Here, we provide the public-facing Bilibili links. We don't have quizzes after each lecture, yet.
- Bonus lectures: there are occasionally some awesome speakers that could not come during the course scheduled times. If you attend these lectures, and would like to be counted towards any one of the course attendance, let me know during that lecture.
- Slides will be available in the links below if the speaker allows.
- Please refer to the poster for the locations of each lecture. You can ask questions about the course on Canvas. You are encouraged to attend both dates. We have invited top experts in their respective fields!
12/07 lecture is canceled.
*Bonus lectures! Attendance can be counted for either 6101 or 6102.
Please note that the following schedule is tentative and may change.
- 09/07/2023 Lin Wang HKUST [Slides]
- 09/11/2023* Kaitai Liang Delft University of Technology
- 09/14/2023 Tianfei Zhou ETH
- 09/15/2023 Xiaodan Liang Sun Yat-sen University
- 09/21/2023 Wenliang Du Syracuse University
- 09/22/2023 Enze Xie Huawei
- 09/28/2023 Canceled. Have a nice long holiday!
- 10/12/2023 Yonglu Li Shanghai Jiaotong University [Slides]
- 10/13/2023 Tiancheng Zhao Zhejiang University [Slides]
- 10/19/2023 Xiaojun Chang University of Technology Sydney
- 10/26/2023 Weihong Li University of Edinburgh
- 10/27/2023 Yingpeng Dong Tsinghua University
- 11/2/2023 Di Hu Renmin University of China
- 11/03/2023 Yixiao Ge Tencent
- 11/09/2023 Jiaxing Zhang IDEA Research
- 11/10/2023 Jian Guo International Digital Economy Academy (IDEA)
- 11/16/2023 Peng Zhao Nanjing University
- 11/23/2023 Hongyang Li Shanghai AI Lab / Shanghai Jiao Tong University
- 11/24/2023 Linchao Zhu Zhejiang University
- 11/30/2023 Ying Tai Nanjing University
- 12/05/2023* Yanjie Fu Arizona State University
- 12/08/2023 Qin Jin Renmin University of China
- 12/11/2023* Junjie Hu University of Wisconsin-Madison
- 12/11/2023* Ding Zhao Carnegie Mellon University
*Bonus lectures!