Associate Professor Chi-Chun  Lee
Artificial Intelligence
Supervisor

Associate Professor Chi-Chun Lee 李祈均 副教授

 

RESEARCH INTERESTS

  • Behavior Computing

  • Affective Multimedia

  • Health Analytics

PERSONAL INTRODUCTION AND HONORS

 

Chi-Chun Lee (Jeremy) is an Associate Professor at the Department of Electrical Engineering, National Tsing Hua University (NTHU), Taiwan. He received his B.S. degree and Ph.D. degree both in Electrical Engineering under supervision of Prof Shri Narayanan from the University of Southern California, USA in 2007 and 2012. He was a data scientist at id:a lab at ID Analytics in 2013. His research interests are in the behavior computing, affective multimedia, and health analytics.

He is an associate editor for IEEE Transaction on Multimedia (2019-2020), and a TPC member for APSIPA IVM and ML. He serves as an area chair for Interspeech 2016,2018,2019, senior program committee for ACII 2017,2019, publicity chair for ACM ICMI 2018, sponsorship and special session chair for ISCSLP 2018, 2020, and a guest editor in Journal of Computer Speech and Language on special issue of Speech and Language Processing for Behavioral and Mental Health. He led a team to the 1st place in Emotion Challenge in Interspeech 2009, and with his students won the 1st place in Styrian Dialect and Baby Sound subchallenge in Interspeech 2019. He is a coauthor on the best paper award/finalist in Interspeech 2008 (top 12), Interspeech 2010 (top 3), IEEE EMBC 2018 (top 15), Interspeech 2018 (top 12), IEEE EMBC 2019 (Asia Pacific), APSIPA ASC 2019, and the most cited paper published in 2013 in Journal of Speech Communication on automatic modeling of couples' behaviors during therapeutic sessions.He received the MOST 2018 and 2019 Futuretek Breakthrough Award, MediaTek Geniusforhome Special Prize Award (top 10 team), and the USC Annenberg Fellowship. His team is selected as one of the 40 Taiwan Tech Star to exhibit in 2019 CES Eureka Park. 

He is a member of Tau Beta Pi, Phi Kappa Phi and Eta Kappa Nu. He is also a member of IEEE and ISCA. He is currently involved in multiple granted interdisciplinary research projects with a focus on modeling human multimodal information using signal processing and machine learning.

 

LAB INTRODUCTION

 

BIIC LAB MISSION
BIIC lab strives to provide an open, fun, and exciting research environment for students to engage in a diverse yet forefront research topics pushing the boundaries of both scientific discoveries and domain applications geared toward human applications. The mission of the lab is to foster well-rounded, creative, and independent research leaders in taking on multitudes of challenging real-world human behavior data-modeling tasks bearing high societal significance.

BIIC LAB OBJECTIVE
BIIC lab conducts fundamental and applied research in human-centered behavioral signal processing (BSP) - an interdisciplinary research field (pioneered by Prof. Shrikanth Narayanan) across behavior science and engineering. We take firm belief in the following core objectives:

Data-driven → Let data tell the story
Human-centric → Computing for, of, by humans
Algorithmic-derived → Handling human variabilities with principled mathematical framework
Domain-aware → Make sure it has grounded societal impact
Integrity → Science only matters if it is real and rigorous

The BIIC objective is to develop novel human-centric technologies to “computationally innovate human-centric analytics enabling next-generation decision intelligence”. These human-centric analytics modeling heterogeneous human behaviors in a domain-aware & scientifically-relevant manner with mathematically-principled framework.

BIIC LAB STRATEGY
BIIC lab members focus on conducting tightly-integrated interdisciplinary research with the following core computational techniques:

Multimodal Signal Processing
Machine Learning
Large-scale Human-centric Data Collection
We are at the intersection between signal processing, machine learning with grounded real-world applications of affective computing, health, education, psychology, neuro-science, etc.

⇒ We provide quantitative next-generation decision-making analytics that aim at transforming the status-quo!

  • Current Number of Student: more than 10 students 

 

SUPERVISOR PREFERENCE

Laboratory Advise Languages
Mandarin
English
Laboratory Admission Quotas
1 Student
  • Bachelor (Juniors and above)
  • Master
  • PhD.

CONTACT

Email:
[email protected]

Phone:
03-5715-131#34050

Address:
Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road, 30013 Hsinchu City, Taiwan, R.O.C.

 

Behavioral Informatics & Interaction Computation Lab (BIIC Lab)
https://biic.ee.nthu.edu.tw/

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