The 4th Augmented Intelligence and Interaction (AII) Workshop

October 30 - November 1

Augmented Intelligence and Interaction (AII) Workshop aims to bring together experts in many sub-fields of AI, Human Computer Interaction (HCI), and Robotics.

ABOUT THE 4th AII WORKSHOP

AII Workshop

Augmented Intelligence and Interaction (AII) Workshop aims to bring together experts
in many sub-fields of AI, Human Computer Interaction (HCI), and Robotics. In this workshop,
multidisciplinary experts can share their latest advance and pave the way toward
grounded applications mixing AI, HCI, and robotics.

Duration

October 30 - November 1

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Venue

This online conference will be hosted via Zoom. You do not need to apply for a Zoom ID, but you will need to install the Zoom application on your device. Each online live conference session will allow time for Q&A, during which you may press the Q&A button to enter your questions. The invited speakers will then answer your questions online. The interaction time during the poster session is particularly long. The attendees are encouraged to make good use of it.

Registration Fee

FREE

Registration Period

From now until 10/29

Sign-Up Link

ABOUT THE 4th AII WORKSHOP

Schedule

30 October, 2020

Talks

For this 3-day workshop, we have invited six keynote speakers, 14 guest speakers, and 12 poster presenters. We have also invited Skymizer to hold a technology forum, and Appier and Microsoft Taiwan for recruitment sessions. The topics of the presentations range from computer vision, machine learning and natural language processing to speech recognition, intelligent robotics, and human–computer interaction.

Opening

9 : 50 - 10 : 00

Talks (Keynote)

Keynote Speech (I): 楊明玄 Prof. Ming-Hsuan Yang

Learning to Detect and Segment Objects across Domains

10 : 00 - 10 : 40

Keynote Speech (II): 陳維超 Dr. Wei-Chao Chen

OEM Meets AI: A Cultural and Research Perspective

10 : 40 - 11 : 20

Keynote Speech (III): 賴尚宏 Prof. Shang-Hong Lai

Recent Advances in Facial Recognition

11 : 30 - 12 : 10

Lunch Break

12 : 10 - 13 : 00

Talks (Invited)

Invited Speech (I): 周志遠 Prof. Jerry Chou

Solve Real World Problems By Building & Optimizing ML Pipelines on Kubernetes

13 : 00 - 13 : 25

Invited Speech (II): 楊佳玲 Prof. Chia-Lin Yang

Federated Learning: Application and Challenge

13 : 25 - 13 : 50

Invited Speech (III): 陳縕儂 Prof. Yun-Nung Vivian Chen

Conversational AI Challenges & Trends

13 : 50 - 14 : 15

Invited Speech (IV): 楊奕軒 Prof. Yi-Hsuan Yang

Research on Automatic Music Composition at the Taiwan AI Labs

14 : 15 - 14 : 40

Invited Speech (V): 王鈺強 Prof. Yu-Chiang Frank Wang

Learning to Learn for Visual Classification

14 : 40 - 15 : 05

Invited Speech (VI): 林守德 Prof. Shou-De Lin

Machine Learning as a Service (MLaaS): The Challenges and Opportunities

15 : 05 - 15 : 30

Invited Speech (VII): 孫民 Prof. Min Sun

Building Unfair Advantages - A Case Study of Neural Architecture Search

15 : 30 - 15 : 55

31 October, 2020

Talks

For this 3-day workshop, we have invited six keynote speakers, 14 guest speakers, and 12 poster presenters. We have also invited Skymizer to hold a technology forum, and Appier and Microsoft Taiwan for recruitment sessions. The topics of the presentations range from computer vision, machine learning and natural language processing to speech recognition, intelligent robotics, and human–computer interaction.

Opening

9 : 50 - 10 : 00

Talks (Keynote)

Keynote Speech (IV): 劉洺堉 Dr. Ming-Yu Liu

Image and video synthesis with Conditional GANs

10 : 00 - 10 : 40

Keynote Speech (V): 阮大成 Dr. Da-Cheng Juan

Neural Structured Learning: Research and Applications

10 : 40 - 11 : 20

Keynote Speech (VI): 謝卓叡 Prof. Cho-Jui Hsieh

On Scalability and Tunibility of Neural Network Optimizers

11 : 30 - 12 : 10

Lunch Break

12 : 10 - 13 : 00

Talks (Invited)

Invited Speech (VIII): 李政德 Prof. Cheng-Te Li

How Powerful are Graph Neural Networks on Social Data Science?

13 : 00 - 13 : 25

Invited Speech (IX): 邱維辰 Prof. Wei-Chen Walon Chiu

Colorization of Depth Map via Disentanglement

13 : 25 - 13 : 50

Invited Speech (X): 李宏毅 Prof. Hung-Yi Lee

Self-supervised Learning and Meta Learning for Human Language Processing

13 : 50 - 14 : 15

Invited Speech (XI): 陳尚澤 Prof. Shang-Tse Chen

Robust Physical Adversarial Attack on Object Detectors

14 : 15 - 14 : 40

Invited Speech (XII): 陳煥宗 Prof. Hwann-Tzong Chen

Learning Object Detection from One Example

14 : 40 - 15 : 05

Invited Speech (XIII): 李濬屹 Prof. Chun-Yi Lee

Deep Reinforcement Learning for Intelligent Robotics

15 : 05 - 15 : 30

Invited Speech (XIV): 鄭龍磻 Prof. Lung-Pan Cheng

Reality Rift: 混合幻想實境

15 : 30 - 15 : 55

1 November, 2020

Panels, Posters and Recruit

We have invited students who have presented at top conferences, such as CVPR, ICLR, IJCAI, ECCV, and AAAI, to share their research results. In addition, we will have Skymizer to hold a technology forum, and Appier and Microsoft Taiwan for recruitment sessions.

Opening

9 : 50 - 10 : 00

Poster: 蔡育哲 Yu-Che Tsai

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD 2020.

10 : 00 - 10 : 30

Poster: 李艾霓 Ai-Ni Li

GCAN:Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. ACL 2020.

10 : 30 - 11 : 00

Skymizer 技術論壇 Technology Forum

11 : 00 - 12 : 00

Lunch Break

12 : 00 - 13 : 00

Poster: 宋易霖 Yi-Lin Sung

Difference-Seeking Generative Adversarial Network—Unseen Data Generation. ICLR 2020.

13 : 00 - 13 : 30

Poster: 楊福恩 Fu-En Yang

Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. CVPR 2020.

13 : 30 - 14 : 00

Poster: 林志皓 Chih-Hao Lin

Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. CVPR 2020.

14 : 00 - 14 : 30

Poster: 徐晟鈞 Cheng-Chun Hsu

Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector. ECCV 2020.

14 : 30 - 15 : 00

Poster: 葉浩同 Hao-Tung Yeh

Empirical Study of Content Understanding in Conversational Question Answering. AAAI 2020.

15 : 00 - 15 : 30

Poster: 蘇上育 Shang-Yu Su

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. ACL 2020.

15 : 30 - 16 : 00

Recruit: Appier

16 : 00 - 16 : 20

Recruit: Microsoft Taiwan

16 : 20 - 16 : 40

Poster: 陳泓仁 Hung-Jen Chen

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS 2020.

16 : 40 - 17 : 10

Poster: 鄭晏奇 Yen-Chi Cheng

Controllable Image Synthesis via SegVAE. ECCV 2020.

17 : 10 - 17 : 40

Poster: 朱彥竹 Yen-Chu Chu

KubeShare: A Framework to Manage GPUs as First-Class and Shared Resources in Container Cloud. HPDC 2020.

17 : 40 - 18 : 10

Poster: 楊炫恭 Hsuan-Kung Yang

Flow Based Intrinsic Curiosity Module. IJCAI 2020.

18 : 10 - 18 : 40

OUR SPEAKERS

Keynote Speakers

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楊明玄 (Ming-Hsuan Yang)

Professor, University of California, Merced

Ming-Hsuan Yang is a Professor in Electrical Engineering and Computer Science at University of California, Merced. Professor Yang served as a program co-chair of IEEE International Conference on Computer Vision (ICCV) in 2019, program co-chair of Asian Conference on Computer Vision (ACCV) in 2014, and general co-chair of ACCV 2016. His research interests include computer vision, pattern recognition, AI, robotics, and machine learning.

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劉洺堉 (Ming-Yu Liu)

Distinguished Research Scientist and Manager, NVIDIA

Ming-Yu Liu is a Distinguished Research Scientist and Manager at NVIDIA Research. His research interests focus on generative image modeling. His goal is to enable human-like imagination capability in machines.

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賴尚宏 (Shang-Hong Lai)

Principal Researcher, Microsoft AI R&D Center

Shang-Hong Lai has been a faculty member in the Department of Computer Science, National Tsing Hua University, since 1999. Since the summer of 2018, Dr. Lai has been on leave to join Microsoft as a principal researcher in the Microsoft AI R&D Center, Taiwan. Dr. Lai’s research interests are mainly focused on computer vision, image processing, and ML. He has authored more than 200 papers that have been published in refereed international journals and conferences in these areas. In addition, he has been awarded around 30 patents on his research on computer vision.

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阮大成 (Da-Cheng Juan)

Researcher, Google AI

Da-Cheng received his Ph.D. from the Department of Electrical and Computer Engineering and his Master’s from Machine Learning Department, both at Carnegie Mellon University. His research interests include machine learning and energy-efficient computing. Da-Cheng has published more than 15 papers in the related fields. Meanwhile, he also enjoys algorithmic programming and has won several awards in major programming contests. Currently, Da-Cheng is affiliated with Google Research, working on large-scale, semi-supervised learning and deep learning.

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謝卓叡 (Cho-Jui Hsieh)

Assistant Professor, UCLA

Cho-Jui Hsieh's research interests are in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, he is working on developing new machine learning models as well as improving the model size, training speed, prediction speed, and robustness of popular (deep learning) models.

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陳維超 (Wei-Chao Chen)

Wei-Chao Chen is Chief AI Advisor at Inventec Inc. and co-founder at Skywatch Innovation Inc., a leading provider of cloud-based video products and solutions. He is also an adjunct faculty member at National Taiwan University. His research interests include graphics hardware, computational photography, augmented reality, and user interfaces. Dr. Chen was a senior research scientist at the Nokia Research Center at Palo Alto, where he co-authored papers and patents and developed applications related to mobile computer vision and computational photography. Prior to working at Nokia, he was a 3D graphics architect at NVIDIA between 2002 and 2006, and was the shader architecture lead for several GPUs, including the Sony Playstation 3 RSX GPU. While at Intel Corporation during 2000–2001, he co-developed light field mapping technology and the open source light field project (OpenLF)

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OUR SPEAKERS

Invited Speakers

OUR ORGANIZERS

Organizers

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科技部 AI 創新研究中心

Program Office of AI Research (MOST)

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雲運算技術與服務產學聯盟

Alliance of Cloud Technology and Services (ACTS)

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財團法人自強工業科學基金會

Tze Chiang Foundation of Science and Technology (TCFST)

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李濬屹

Chun-Yi Lee

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孫民

Min Sun

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周志遠

Jerry Chou

Co-organizers

Alphabetical order by name.

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人工智慧製造系統研究中心

Artificial Intelligence for Intelligent Manufacturing Systems Research Center (AIMS)

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之初創投

AppWorks

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台灣微軟

Microsoft Taiwan

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Skymizer

Skymizer