ABOUT THE 5th AII WORKSHOP
AII Workshop
Augmented Intelligence and Interaction (AII) Workshop is the premier workshop in Taiwan that aims to bring together top experts in many sub-fields of AI, including machine learning (ML), computer vision (CV), natural language processing (NLP), reinforcement learning (RL), augmented/virtual reality (AR/VR), as well as autonomous machines. In this workshop, multidisciplinary experts from different domains will share their latest advances, and provide excellent opportunities for attendees to discuss, share ideas, and interact with each other.
Duration
Registration Fee
$5,000 NTD
( Registration does not include accommodation or dinner, but includes lunch box on 3/25. )
Registration Period
【報名截止，少部分名額開放現場報名】
Registration deadline has passed, with only a limited number of spots available for on-site sign-ups.
ABOUT THE 5th AII WORKSHOP
Tentative Schedule
Day 1
Sign in
12 : 00 - 12 : 50
Opening
12 : 50 - 13 : 00
Talks
Keynote Speech (I): 李飛飛 Prof. Fei-Fei Li
13 : 00 - 13 : 50
Invited Speech (I): 徐宏民 Prof. Winston Hsu
3D Comprehension for Efficient Robotic Manipulations
14 : 00 - 14 : 15
Invited Speech (II): 陳佩君 Dr. Trista Chen
On Breakthroughs of Generative AI towards Artificial General Intelligence
14 : 15 - 14 : 30
Invited Speech (III): 王鈺強 Prof. Yu-Chiang Frank Wang
Feature Pyramid Diffusion for Complex Scene Image Synthesis
14 : 30 - 14 : 45
Invited Speech (IV): 陳維超 Dr. Wei-Chao Chen
The Right Problem to Solve in Manufacturing
14 : 45 - 15 : 00
Invited Speech (V): 孫民 Prof. Min Sun
AI for 3D Indoor Space
15 : 00 - 15 : 15
Coffee Break
15: 15 - 15 : 30
Invited Speech (VI): 吳毅成 Prof. I-Chen Wu
A Novel Approach to Solving Goal-Achieving Problems for Board Games
15 : 30 - 15 : 45
Invited Speech (VII): 賴尚宏 Prof. Shang-Hong Lai
RGB-D Face Recognition with Feature Distanglement and Depth Augmentation
15 : 45 - 16 : 00
Invited Speech (VIII): 陳煥宗 Prof. Hwann-Tzong Chen
Multiview Regenerative Morphing
16 : 00 - 16 : 15
Invited Speech (IX): 王傑智 Prof. Bob Wang
Lessons Learned from Self-Driving Car Operations on Public Roads in Taiwan and Australia
16 : 15 - 16 : 30
Invited Speech (X): 林守德 Prof. Shou-De Lin
Environment Diversification with Multi-head Neural Network for Invariant Learning
16 : 30 - 16 : 45
Invited Speech (XI): 邱維辰 Prof. Wei-Chen Walon Chiu
On the Long Way to Learning Depth and Dynamic Perception
16 : 45 - 17 : 00
Invited Speech (XII): 李濬屹 Prof. Chun-Yi Lee
Virtual-to-Real: Vision based Navigation
17 : 00 - 17 : 15
Invited Speech (XIII): 胡敏君 Prof. Min-Chun Hu
AI in Sports
17 : 15 - 17 : 30
Invited Speech (XIV): 謝秉均 Prof. Ping-Chun Hsieh
Q-Pensieve: Boosting Multi-Objective RL via Memory Sharing
17 : 30 - 17 : 40
Invited Speech (XV): 劉育綸 Prof. Yu-Lun Liu
Dynamic and Local Radiance Fields for Robust View Synthesis
17 : 40 - 17 : 50
Break
18 : 00 - 19 : 00
Banquet
(Sponsors and Speakers Only)
19 : 00 - 20 : 30
Poster Session
(Sponsors and Speakers Only)
20 : 30 - 21 : 30
Day 2
Opening
9 : 00 - 9 : 10
Invited Talks
Invited Speech (XVI): 李宏毅 Prof. Hung-Yi Lee
Foundation Model for Speech Processing
9 : 10 - 9 : 25
Invited Speech (XVII): 陳緼儂 Prof. Yun-Nung Vivian Chen
When Ads Meet Conversational Interfaces
9 : 25 - 9 : 40
Invited Speech (XVIII): 楊奕軒 Prof. Yi-Hsuan Yang
Automatic Music Generation with the Transformers
9 : 40 - 9 : 55
Keynote Speech (II): 楊明玄 Prof. Ming-Hsuan Yang
9 : 55 - 10 : 55
Panel
Topic: AI Trends (e.g., AIGC, ChatGPT, etc.)
11 : 00 - 12 : 00
Lunch Break
12 : 00 - 13 : 00
OUR SPEAKERS
Keynote Speakers
李飛飛 (Fei-Fei Li)
Sequoia Capital Professor, Co-director of the Stanford Institute for Human-centered Artificial Intelligence (HAI) and Professor, by Courtesy, of Operations, Information and Technology at the Graduate School of Business
Dr. Fei-Fei Li is an elected member of the National Academy of Engineering, National Academy of Medicine, and American Academy of Arts and Sciences. Her current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. Dr. Li is a world-leading AI scientist and the lead creator of ImageNet, a groundbreaking project that engendered the beginning of the recent AI Revolution using Deep Learning methods. She is an author of nearly 300 scientific papers. Dr. Li has recently served as one of the twelve members of the U.S. National AI Research Resource Task Force established by the Biden Administration.
楊明玄 (Ming-Hsuan Yang)
Professor, University of California, Merced
Dr. Ming-Hsuan Yang is a research scientist at Google working on vision and learning problems. He is also a professor of Electrical Engineering and Computer Science at University of California, Merced. He received best paper honorable mentions in ACM UIST 2017 and IEEE CVPR 2018. He is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012 and Google Faculty Award in 2009.
OUR SPEAKERS
Panelists
The latest trend in AI (e.g., AIGC) and how it will impact society and industry.
許永真 (Jane Yung-Jen Hsu)
Professor and department chair of Computer Science and Information Engineering at National Taiwan University
Dr. Jane Hsu is a professor and department chair of Computer Science and Information Engineering at National Taiwan University. She is the director of the Intel-NTU Connected Context Computing Center, featuring global research collaboration among NTU, Intel, and the National Science Council of Taiwan.
李飛飛 (Fei-Fei Li)
Sequoia Capital Professor, Co-director of the Stanford Institute for Human-centered Artificial Intelligence (HAI) and Professor, by Courtesy, of Operations, Information and Technology at the Graduate School of Business
Dr. Fei-Fei Li is an elected member of the National Academy of Engineering, National Academy of Medicine, and American Academy of Arts and Sciences. Her current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. Dr. Li is a world-leading AI scientist and the lead creator of ImageNet, a groundbreaking project that engendered the beginning of the recent AI Revolution using Deep Learning methods. She is an author of nearly 300 scientific papers. Dr. Li has recently served as one of the twelve members of the U.S. National AI Research Resource Task Force established by the Biden Administration.
楊明玄 (Ming-Hsuan Yang)
Professor, University of California, Merced
Dr. Ming-Hsuan Yang is a research scientist at Google working on vision and learning problems. He is also a professor of Electrical Engineering and Computer Science at University of California, Merced. He received best paper honorable mentions in ACM UIST 2017 and IEEE CVPR 2018. He is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012 and Google Faculty Award in 2009.
梁伯嵩 (Bor-Sung Liang)
MediaTek / Senior Director
Currently working for MediaTek, Dr. Bor-Sung Liang serves as the senior director of the technology foresight platform. He is also a visiting professor at the Department of Computer Science, National Taiwan University.
李宏毅 (Hung-Yi Lee)
Associate Professor, NTU
Prof. Hung-Yi Lee is currently an associate professor of the Department of Electrical Engineering of National Taiwan University, with a joint appointment at the Department of Computer Science & Information Engineering of the university. His research focuses on machine learning (especially deep learning), spoken language understanding, and speech recognition. He owns a YouTube channel teaching deep learning in Mandarin.
OUR SPEAKERS
Invited Speakers
陳維超 (Wei-Chao Chen)
Digital Chief and Senior Deputy General Manager of Inventec Corp, the founder and chairman of Skywatch Inc.
