Industrial Activities

-APSIPA Industrial Governance Board
-APSIPA Industrial Distinguished Leader Program
-Bios of Board Chair and 3 Committee Chairs
-Bios of Industrial Publication Committee
-Bios of Industrial Forum Committee
-Bios of Industrial Membership Committee

APSIPA Industrial Governance Board

Chair - VP of Industrial Relations and Development
Seishi Takamura, NTT, Japan (Chair)

Past-Chair (2018-2019) - VP of Industrial Relations and Development

Guan-Ming Su, Dolby Labs, USA (Chair)

Past-Chair (2016-2017) - VP of Industrial Relations and Development

Shan Liu, Tencent America, USA (Chair)

Past-Chair (2014-2015) - VP of Industrial Relations and Development
Haohong Wang, General Manager, TCL Research America (Chair)

Deputy Chair - VP of Industrial Relations and Development
Chris Gwo Giun Lee, NCKU, Taiwan (Deputy Chair)

Industrial Publication Committee
Ning Xu, Kuaishou US R&D Center, USA (Chair)
Anlei Dong, Microsoft, USA
Chong Chen, Uber ATG, USA
Chongyang Ma, Kwai, USA
Hongcheng Wang, Comcast, USA
I-Ming Pao, Adobe, USA
Li Tao, Samsung, USA
Qian Chen, Facebook, USA
Weidong Zhang,, USA
Yong Liu, Apple, USA
Yu-Chen Sun, Facebook, USA
Zhou Ren, Wormpex AI Research, USA
Yu-Chiang Frank Wang, National Taiwan University, Taiwan
Chia-Wen Lin, NTHU, Taiwan
Sunil Sivadas, NCS CorpLabs, Singapore

Industrial Forum Committee
Toshihiko Sugie, Hokkaido University, Japan (Chair)
Avinash L Varna, Intel, USA
Xiaozhong Xu, Tencent, USA
Ying Li, IBM, USA
Sunil Bharitkar, HP Labs, USA
Bin Shen, Pinterest, USA
Tomokazu Murakami, Hitachi, Japan
Kazuo Sugimoto, Mitsubishi Electric, Japan
Kong Aik Lee, A*STAR, Singapore

Industrial Membership Committee
Chii-Wann Lin, ITRI, Taiwan (Chair)
Qi Wei, Siemens Research, USA
Qirui Huang, Huawei, Singapore
Ying Li, Cirrus, USA
Jiguang Li, Goforward, China
Yohei Kawaguchi, Hitachi, Japan
Jianquan Liu, NEC, Japan
Kuansan Wang, Microsoft, USA
Xi Wang, Fujitsu Lab, USA
Hui Dong, Huawei, USA
Lynn Lu, Nokia, China
Ramesh Subrahmaniam, Infinera, USA
Wenda Ni, Microsoft, USA
Yasunori Owada, NICT, Japan
Tianran Liang, Google, USA
Shang-Hong Lai, Microsoft, Taiwan


APSIPA Industrial Distinguished Leader Program

The APSIPA Industrial Distinguished Leader is a distinction reserved for selected APSIPA members (or potential members) whose extraordinary accomplishments in any of the fields related to APSIPA scope are deemed fitting of this prestigious recognition. The Distinguished Leader nomination and election process conducts twice a year, for more details please refer to the guideline and nomination form.

Year 2021 Fall APSIPA Industrial Distinguished Leaders
1. Mr. Chia-Yung Su, CTO/Co-Founder, Appier
2. Dr. Gerard Medioni, VP/Distinguished Scientist, Amazon
3. Dr. Jinyu Li, Partner Applied Scientist, Microsoft

Year 2021 Spring APSIPA Industrial Distinguished Leaders
1. Dr. Pengfei Xia, Principal Engineer, Amazon
2. Dr. Ching-Yung Lin, CEO, Graphen / Adj. Prof. Columbia University
3. Dr. Shingo Tsukada, NTT Fellow, NTT

Year 2020 Fall APSIPA Industrial Distinguished Leaders
1. Dr Joe Yeh, Co-Founder & CEO aetherAI Co., Ltd

Year 2020 Spring APSIPA Industrial Distinguished Leaders
1. Yuichi Nakamura, VP, Executive Specialist, NEC
2. Danilo Pau, Technical Director, STMicroelectronics
3. Yu Huang, VP of Technology, Autonomous Driving Research, Blacksesame Technology Inc.
4. Xuejing Sun, CEO, Twirling Technologies
5. Hitoshi Imaoka, NEC Fellow, NEC

Year 2019 Fall APSIPA Industrial Distinguished Leaders
1. Dr. Wei-Chao Chen, Co-founder and Chairman, Skywatch

Year 2019 Spring APSIPA Industrial Distinguished Leaders
1. Tao Mei, Deputy Managing Director, JD AI Research
2. Ali Tabatabai, VP, Sony
3. Aldo Badano, Senior Biomedical Researcher, US Food and Drug Administration
4. Yeong-Taeg Kim, Samsung Electronics

Year 2018 Fall APSIPA Industrial Distinguished Leaders
1. Wenjun Zeng, Sr. Principal Research Manager, Microsoft Research Asia
2. Yunqu Leon Liu, President, Viscore Technologies
3. Qingxiong Yang, CEO, MoonX
4. Bowen Zhou, VP,

Year 2018 Spring APSIPA Industrial Distinguished Leaders
1. Jing Xiao, Chief Scientist, PingAn Insurance Group
2. Jianle Chen, VP, America Media Lab of Huawei Technologies
3. Samir N. Hulyalkar, VP, Dolby Labs
4. Jungwon Lee, VP, Samsung SoC Lab
5. Shan Liu, VP and General Manager, Tencent Media Lab

Year 2017 Fall APSIPA Industrial Distinguished Leaders
1. Naonori Ueda, NTT Fellow, NTT
2. James Bankoski, Director, Google
3. Amir Said, Principal Engineer, Qualcomm
4. Chung-Sheng Li, Global Research Managing Director, Accenture Operations
5. Akihiko Sugiyama, Research Fellow, NEC
6. Kar-Han Tan, VP, Novumind

Year 2017 APSIPA Industrial Distinguished Leaders
Chandrakant Patel, Senior Fellow and Chief Engineer, Hewlett Packard
Chien-Ping Lu, VP Engineering, Novumind Inc.
Charlie Zhang, VP, Samsung Research America
Haohong Wang, General Manager, TCL Research America
Yong Rui, Sr. VP and CTO, Lenovo
David Stork, Rambus Fellow, Rambus Inc.

Year 2016 APSIPA Industrial Distinguished Leaders
Bo Begole, VP, Global Head of Media Technologies Lab, Huawei R&D, USA
Achin Bhowmik, VP and General Manager, Perceptual Computing Group, Intel Corporation
Chih-Lin I, Chief Scientist of Wireless Technologies, China Mobile Research Institute, CMCC
Takehiro Moriya, Research Fellow & Direcor, NTT Fellow, Moriya Research Lab
Anthony Vetro, Director and IEEE fellow, Mitsubishi Electric Research Laboratories

Year 2015 APSIPA Industrial Distinguished Leaders
Chung-Min Chen, VP, Telcordia, USA
Lawrance Loh, President, MediaTek USA Inc., USA
Nikhil Balram, President & CEO, Ricoh Innovations, USA
Yasunori Mochizuki, VP, NEC, Japan
Yi Hao, CEO, GWC, China

Year 2014 APSIPA Industrial Distinguished Leaders
Byung K. Yi, EVP & CTO, InterDigtial, USA
C. C. Lee, SVP, Sony, USA
Li Deng, Partner Research Manager, Microsoft, USA (IEEE Fellow)
Kevin Jou, VP & CTO, MediaTek, Taiwan
Sherman (Xuemin) Chen, VP, Broadcom, USA (IEEE Fellow)
Steve Simske, HP Fellow and Chief Technologist, HP, USA
Shawmin Lei, VP, MediaTek, Taiwan (IEEE Fellow)
Tomohiko Taniguchi, Principal, Fujitsu, Japan (IEEE Fellow)


Bios of Board Chair and 3 Committee Chairs:

Seishi Takamura, NTT, Japan

Seishi Takamura received the B.E., M.E. and Ph.D. degrees from the University of Tokyo in 1991, 1993 and 1996, respectively. In 1996 he joined Nippon Telegraph and Telephone (NTT) Corporation, where he has been engaged in research on efficient video coding and ultra-high quality video coding. He has fulfilled various duties in the research and academic community in current and prior roles including Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology, Executive Committee Member of IEEE Tokyo Section, Japan Council and Region 10 (Asia-Pacific). He has also served as Chair of ISO/IEC JTC 1/SC 29 Japan National Body, Japan Head of Delegation of ISO/IEC JTC 1/SC 29, and as an International Steering Committee Member of the Picture Coding Symposium. From 2005 to 2006, he was a Visiting Scientist at Stanford University, California, USA. He is currently a Senior Distinguished Engineer at NTT Media Intelligence Laboratories. Dr. Takamura is a Fellow of IEEE, IEICE and ITE, a senior member of IPSJ, and a member of MENSA, APSIPA, SID.

Chris Gwo Giun Lee, NCKU, Taiwan

Chris Gwo Giun Lee is an investigator in the signal processing systems field including multimedia and bioinformatics. His system design work, based on analytics of algorithm concurrently with architecture, entitled Algorithm/Architecture Co-Design (AAC), has made computations on System-on-Chip, edge and cloud platforms possible in resolving complex problems accurately and efficiently.

Chris・ work have contributed to 130+ original research and technical publications with the invention of 50+ patents worldwide. His AAC work was used by the industry in deploying more than 50 million LCD panels worldwide. Two of these patents were also licensed by US health industry for development of analytics platform based precision medicine products (Boston, MA, June 1, 2015, GLOBE NEWSWIRE). Chris・ AAC work has also been pivotal in delivering feasible and realistic international standards, including 3D extension of HEVC and Reconfigurable Video Coding in ISO/IEC/MPEG, for applications requiring processing of big multimedia data. His low-complexity 3D video coding technology was also included in MPEG.

Chris worked for Philips Semiconductor as a system architect and project leader in the Silicon Valley. He was recruited to National Cheng Kung University in 2003 where he founded and currently leads the Bioinfotronics Research Center. The center conducts highly multidisciplinary research having collaborations with: IBM TJ Watson Research Center on Cloud/Reconfigurable Computing; National Center for High-performance Computing, National Research Laboratory, Taiwan together with Inform Genomics Inc., found by scientists from MD Anderson Cancer Research Center, Harvard Medical School, and MIT, on analytics architecture/platform based Precision Medicine; Banner Alzheimer Institute on Intelligent Health Cloud; National Taiwan University on Harmonically Generated Microscopy Medical Image Processing; and Hualien Tzuchi Medical Center on Mobile Health.

Chris received his B.S. degree in electrical engineering from National Taiwan University, and M.S. and Ph.D. degrees in electrical engineering from the University of Massachusetts. He serves as the AE for IEEE TSP and Journal of Signal Processing Systems. He was formerly the AE for IEEE TCSVT for which he received the Best Associate Editor・s Award in 2011. Chris is the IEEE CASS Distinguished Lecturer from 2019 to 2020. Having served as ExCom Member for IEEE Region 10 since 2017, he is chairing the Industry Relations Committee from 2019 to 2020.

Ning Xu, Kuaishou US R&D Center, USA

Ning Xu is currently a Chief Scientist of Video Algorithms and head of the Lab of Advanced Image/Video Algorithms at Kuaishou US R&D Center. Before that, he was a Principal Applied Scientist at Amazon Go and a Principal Research Scientist and Manager at Snap Research. Prior to joining Snapchat, he has been working with Dolby Laboratories, Inc. and Samsung Research America. Dr. Ning Xu obtained his Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign. Dr. Ning Xu co-authored 100+ journal and conference papers, patents and patent applications. His research interests include image and video processing, computer vision, deep learning, audio/speech, and other related areas. He is a senior member of IEEE.

Toshihiko Sugie, Hokkaido University, Japan

Toshihiko Sugie is an adviser to the Institute for the Promotion of Business-Regional Collaboration of Hokkaido University, Japan. Before that, he was a Senior Technology Strategist of NTT Electronics Corporation, Japan, where he focused on Optical network/device, Optical Access, and Future Information and Communication Technologies. Prior to this, he had been with Nippon Telegram and Telephone Corporation (NTT), where engaged in research and development of optical transmission systems, and optical modules/devices, especially access network systems (Fiber to the Home - FTTH), wavelength multiplexing technologies (WDM), and next generation network architecture. He received the B.S., M.S. and Dr. Eng. degrees in electronics engineering from Hokkaido University, Sapporo, Japan, in 1977, 1979, and 1986, respectively. He is a member of IEEE, Photonics and Communications Society. And he is also the Institute of Electrics, Information, and Communication Engineers (IEICE) of Japan. He received the 1984 Paper Award, the 1986 Young Engineer Award, from the IEICE, and the 4th NTT President・s Award 1988.

Chii-Wann Lin, ITRI, Taiwan

Dr. Chii-Wann Lin is the Vice President and General Director of Biomedical Technology and Device Research Laboratories (BDL), Industrial Technology Research Institute (ITRI) since March, 2017, with teams working on three thrust areas in medical devices, regenerative medicine, and drugs development. The goal is to develop cost effective and user-friendly medical devices toward the success of personalized medicine and e-health. He is also a faculty member of National Taiwan University. His research interests in microfabrication technologies and optical sensing mechanisms to develop nano/micro sensors and integrated system for medical applications with compliance of medical device regulations and standards. He has served as technical advisor in two medical device startup companies based on technology transferred from his research outcomes of Chaotic Phase Space Difference (CPSD) and implantable pain control by Pulse Radiofrequency (PRF). He is also a member of IEEE EMBS (since 1994), Taiwanese BMES, and Taiwan Association of Chemical Sensors (ACST).

Bios of Past Board Chair and Past Committee Chairs:

Guan-Ming Su, Dolby Labs, USA

Guan-Ming Su is with Dolby Labs, Sunnyvale, CA. Prior to this he has been with the R&D Department, Qualcomm, Inc., San Diego, CA; ESS Technology, Fremont, CA; and Marvell Semiconductor, Inc., Santa Clara, CA. He is the inventor of 80+ U.S. patents and pending applications. He is the co-author of 3D Visual Communications (John Wiley & Sons, 2013). He served as an associate editor of Journal of Communications; associate editor in APSIPA Transactions on Signal and Information Processing, and Director of review board and R-Letter in IEEE Multimedia Communications Technical Committee. He also serves as the Technical Program Track Co-Chair in ICCCN 2011, Theme Chair in ICME 2013, TPC Co-Chair in ICNC 2013, TPC Chair in ICNC 2014, Demo Chair in SMC 2014, General Chair in ICNC 2015, Area Co-Chair for Multimedia Applications in ISM 2015, Demo Co-Chair in ISM 2016, Industrial Program Co-chair in IEEE BigMM 2017, and Industrial Expo Chair in ACMMM 2017. He served as chair of APSIPA Industrial Publication Committee 2014-2017. He is a Senior member of IEEE. He obtained his Ph.D. degree from University of Maryland, College Park.

Shan Liu, Tencent, USA

Shan Liu is a Distinguished Scientist and Vice President of Tencent Media Lab at Tencent America. Prior to Tencent she was the Chief Scientist and Head of America Media Lab at Futurewei Technologies, a.k.a. Huawei USA. She also held senior management and technical positions at MediaTek, Mitsubishi Electric Research Laboratories, Sony Electronics / Sony Computer Entertainment America, and IBM T.J. Watson Research Center. Dr. Liu is the inventor of more than 200 US and global patent applications and the author of more than 30 journal and conference articles. Many of her inventions have been adopted by international standards such as ITU-T H.265 | ISO/IEC HEVC, MPEG-DASH and OMAF, as well as utilized in widely sold commercial products. She has chaired and co-chaired a number of ad-hoc and technical groups through standard development and served as a Co-Editor of Rec. ITU-T H.265 v4 | ISO/IEC 23008-2:2017. She has been in technical and organizing committees, or an invited speaker, at various international conferences such as IEEE ICIP, VCIP, ICNC, ICME and ACM Multimedia. She served in Industrial Relationship Committee of IEEE Signal Processing Society 2014-2015 and was appointed the VP of Industrial Relations and Development of Asia-Pacific Signal and Information Processing Association (APSIPA) 2016-2017. Dr. Liu obtained her B.Eng. degree in Electronics Engineering from Tsinghua University, Beijing, China and M.S. and Ph.D. degrees in Electrical Engineering from University of Southern California, Los Angeles, USA.

Haohong Wang, TCL Research, USA

Haohong Wang is the General Manager of TCL Research America at San Jose, California. Prior to joining TCL, he held technical and management positions at AT&T, Catapult, Qualcomm, Marvell and Cisco. He is the inventor of 50+ patents and pending applications, and co-author of 5 books and 50+ articles in journals and conferences. He is the Editor-in-Chief of the Journal of Communications, and has been a member of the Steering Committee of the IEEE Transactions on Multimedia. He co-chairs the IEEE Technical Committee on Human Perception and Multimedia Computing, and has chaired the IEEE Multimedia Communications Technical Committee. He chairs the Steering Committee of ICNC conference, and has served as the General Chair of IEEE ICME 2011 and IEEE VCIP 2014, and as the TPC Chair of IEEE GLOBECOM 2010. He is the recipient of the IEEE MMTC Distinguished Service Award (2013), Manager of the Year Award (2012), Distinguished Inventor Award (2013), and Technology Innovation Award (2014) by TCL Corporation. He received his Ph.D. from Northwestern University, Evanston, USA.

Yang Lei, HP Labs, USA

Yang Lei is a Senior Research Scientist at HP Labs,Palo Alto CA, leading the imaging and 3D visionsystems design and development in multiple projects. Yang received her Ph.D. in Electrical and ComputerEngineering from Purdue University, under the supervision of Prof. Jan Allebach.Herresearch interests are in digital imaging and computer visionsystems and their applications in the industry, includinglarge-scale image recognition and understanding, 3D objectscanning and retrieval, etc. Yang has published multiplearticles in IEEE and ACM conferences, such as IEEE ICIP,ICASSP, ACMDocEng, and Journal of Imaging Science andTechnology (JIST). She was invited to serve as ProgramCo-Chair, organizing committee, or programcommitteein major international conferences in imagingandmultimedia, such as IEEE BigMM, ISM,etc.

Ming Xia, Alibaba, USA

Ming Xia is with Alibaba. Prior to this, he worked at LinkedIn in Mountain View, CA, Ericsson Research Silicon Valley in San Jose, CA, and National Institute of Information and Communications Technology (NiCT) in Tokyo, Japan. He is the inventor of 20+ patents and pending applications, and co-author of 80+ articles in journals and conferences. He is on the editorial board of Journal of Telecom Systems, and is a guest editor of Journal of Computers & Electrical Engineering. He co-chaired the IEEE ANTS'13 technical committee, the IEEE Globecom'13 workshop on SDN and Optics, and the ICNC'14 Optical and Grid Networking symposium. He is winner of the best paper award at the IEEE ANTS'10. Ming Xia obtained his Ph.D. degree in computer science from the University of California, Davis, USA.


Bios of Industrial Publication Committee

Anlei Dong, Microsoft, USA

Anlei Dong received the BS and MS degrees in Automation from the University of Science and Technology of China, the PhD degree in electrical engineering from the University of California at Riverside. Currently Dr. Dong is a principal scientist and architect at Microsoft Bing Search team. Previously, he was a science director at Yahoo! Labs. Dr. Dong also used to work with a few start-up companies in Silicon Valley. His research interests include a wide range of areas such as information retrieval, data mining, natural language processing, especially on the applications of search and recommendation.

Chong Chen, Uber ATG, USA

Dr. Chong Chen is with Uber ATG, where he works on sensor calibration for autonomous vehicles. Prior to joining Uber, he worked at Apple Inc, working on Portrait Mode and Portrait Lighting, as well as other computer vision and video processing applications. He worked at Samsung Research America as a Senior Research Engineer from 2010 to 2013. He received his Ph.D. in Electrical and Computer Engineering from University of Illinois at Chicago, M.S. from Institute of Automation, Chinese Academy of Sciences, and B.S. in Electrical Engineering from Xi'an Jiaotong University. His research interests include computer vision, image processing, machine learning and computer graphics.

Chongyang Ma, Kwai, USA

Dr. Chongyang Ma is currently a Research Lead heading the Graphics AI team at Kuaishou Technology (Kwai Inc.). Previously he was a Sr. Research Scientist at Snap Research. Prior to that, he was a Senior Research Engineer at Activision Central Tech. From 2012 to 2015, he was a postdoc researcher at UBC and USC. He obtained his Ph.D. in Computer Science and B.S. in Mathematics and Physics, both from Tsinghua University.

Hongcheng Wang, Comcast, USA

Hongcheng Wang, currently a Senior Manager, Technical R&D, at Comcast Applied AI Research, where he manages the Computer Vision and Deep Learning Team since 2015. Prior to this, he was a Principal Investigator at UTRC. His research interests include Computer Vision, Machine Learning Learning and Artificial Intelligence for public and residential security, autonomy, industrial inspection and multimedia applications. He had short-term research experience in Mitsubishi MERL, Siemens Corporate Research and IBM Almaden Research. He has published 40+ journal and conference papers in CVPR, ICCV, SIGGRAPH, IJCV etc., and holds 40+ patents and patent applications (19 U.S. patents awarded). He has been an Associate Editor for The Visual Computer Journal since 2012, and served as an industrial chair for ACCV 2014 and an area chair for WACV from 2014 to 2016. He received his Ph.D. and M.S. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC). He is a Senior Member of IEEE.

I-Ming Pao, Adobe, USA

I-Ming Pao is a Scientist at Adobe and previously held engineering and management positions at Real Communications Inc, SONY, and Freescale. He received his Ph.D. from University of Washington, Seattle, USA.

Li Tao, Samsung, USA

Dr. Li Tao received her Bachelor and Master's degrees from the Department of Electrical and Computer Engineering at Sichuan University, China in 1998 and 2001, respectively. She obtained her PhD from the Department of Electrical and Computer Engineering at Old Dominion University, Virginia in 2006. Also in 2006 Dr. Tao joined the Digital Media Solution Lab (DMS Lab) of Samsung Research America (SRA) located in Irvine California, where she started to develop SoC (System on Chip) video algorithms for Samsung TVs, such as 2D to 3D conversion, 2K to 4K super resolution, statistical image feature detection, SDR legacy video enhancement and High Dynamic Range(HDR) video enhancement. All these developed digital image/video processing techniques have been successfully integrated into Samsung HDTVs/UHDTVs andlevitate Samsung TV products' image or video quality to a leading position among the peers.

Currently Dr. Tao is a Director and Principal Engineer at the same SRA facility, where she is leading a group of talented R&D engineers to develop Samsung's superior HDR TV's video technology. The recently developed Dynamic Tone Mapping (DTM) system for HDR video contents by Dr. Tao became an industry standard (known as SMPTE 2094-40) in 2016. This standard was based on her awarded 2 U.S. patents. Samsung is currently promoting the HDR technology based on SMPTE 2094-40 to the HDR industry as an effective and competitive HDR solution package known as HDR10+. Due to its effective and outstanding quality, HDR10+ technology has been accepted by Amazon and Warner Bros for the HDR contents ecosystem, which was announced at 2018 CES. Except contents providers and distributors, many SoC manufactures worldwide are implementing Samsung's HDR10+ technology into their major TV chipsets.

Dr. Tao has published 7 peer reviewed journal papers, 2 book chapters, and 28 peer reviewed conference papers in the field of image/video processing, machine learning, computer vision, and SoC implementation. Dr. Tao is the primary placeholder of 27 U.S. patents based on her key inventions. These patents built up and secured the core image/video enhancement technology of Samsung TVs.

Qian Chen, Facebook, USA

Qian Chen is currently with Facebook Inc., working on video streaming and improve video qualities in various encoding pipeline. Prior to joining Facebook, she has been with Dolby Laboratories, Inc. She has 20+ patents and pending applications dedicated in video processing and video compression. She has co-authored multiple papers published in IEEE CSVT journals and multimedia conferences, while serving as a constant reviewer to these publications. Dr. Chen received her Ph.D in Electrical and Computer Engineer, University of Florida, Gainesville, USA in 2011.

Weidong Zhang,, USA

Weidong Zhang is the Tech Leader of AI & Big Data team, Silicon Valley R&D Center. His research interests are machine learning, deep learning and their applications in the field of computer vision, such as image segmentation, classification and detection.

Dr. Zhang got his Bachelor degree with honors from Xi・an Jiaotong University in 2003. He earned his PhD degree from the prestigious Tsinghua University in 2009, majoring in machine learning and computer vision. After graduation, he joined University of Pittsburgh as a Post-doc for one year. From 2010 to 2013, Dr. Zhang worked in National Institutes of Health as Research Fellow, focusing on medical image processing. From 2013 to 2016, he worked as Sr. Researcher in Samsung Research American, working on image processing and deep learning.

Dr. Zhang has published more than 30 papers in prestigious international journals and conferences, which are top-ranked in the fields of image processing and computer vision, such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Medical Image Computing and Computer Assisted Intervention (MICCAI). Dr. Zhang was the sole recipient of Best Student Paper Award at Pacific-Rim Conference on Multimedia 2006. He were frequently invited as reviewers for more than 10 journals. His research findings has been widely cited and reported, and was highlighted by NIH Director Francis Collins during his opening keynote speech at the mHealth Summit Meeting 2010.

Xuejing Sun, Twirling Technologies, China

Xuejing Sun is the founder and CEO of Twirling Technologies, a company specializing in speech and audio processing. He has led the team developing the world-first ambisonic microphone array Twirling720 Lite for mobile phones, as well as a complete suite of software for virtual reality audio, from capture to creation and rendering. His team also developed robust algorithms and low power SOC for far-field speech recognition, a crucial component in natural voice interaction applications, such as smart speakers. Prior to Twirling, Dr. Sun had technical lead roles at Dolby Laboratories, working on Dolby Voice, an immersive audio conferencing solution, CSR (now part of Qualcomm), being one of the core contributors to the speech enhancement software suite CVC deployed on millions of Bluetooth devices. Before that he was with Panasonic speech technology laboratory, working on embedded speech recognition and speech synthesis.

During his Ph.D. studies at Northwestern University, Xuejing Sun developed an automatic prosody modeling system using ensemble machine learning and a pitch determination algorithm based on subharmonic-to-harmonic ratio that has seen substantial usage in the past decades. He received his B.S. degree from Peking University. He has over 100 patents, pending applications, and technical publications. He is a senior member of IEEE.

Yong Liu, Apple, USA

Dr. Yong Liu is currently with Apple. Prior to joining Apple, he worked at Broadcom, Marvell, and Samsung. Dr. Yong Liu obtained his Ph.D. degree in Electrical Engineering from the City University of New York and his Master's and Bachelor's degrees from the University of Science and Technology of China. Dr. Yong Liu holds 100+ granted patents in the areas of wireless communication and networking. He is the recipient of IEEE 802 standard awards for his significant contributions to IEEE 802.11ah, IEEE 802.11ac, IEEE 802.11ad, and IEEE 802.15.5 standards. He served as a Director in Wi-Fi Alliance Board.

Yu Huang, Singulato, USA

Dr. Yu Huang is now a chief scientist of autonomous driving and president of Silicon Valley R&D Center of Singulato Inc. Before that, he had worked for Baidu R&D USA, Intel corporation, Samsung R&D USA, Huawei R&D USA and Thomson Corporate Research USA. His main work fields are autonomous driving, computer vision, machine (deep) learning, VR & AR, image & video processing and cloud computing etc. Dr. Huang has published more than 30 academic papers in int. conferences and journals, filed more than 30 US/Europe patents and 13 of them issued.

Yu-Chen Sun, Facebook, USA

Yu-Chen Sun is currently with Facebook. Prior to joining Facebook, he was with Alibaba, Qualcomm, and MediaTek Inc. He received his Ph.D. degree in computer science from National Chiao-Tung University, Taiwan. He is actively involved in digital video coding standardization developed by the ITU-T Study Group 16 (VCEG) and ISO/IEC JTC 1 SC 29 / WG 11 (MPEG). His research interests include image/video processing, compression, and communication.

Zhou Ren, Wormpex AI Research, USA

Dr. Zhou Ren is currently a Research Lead / Senior Researcher at Wormpex AI Research. Prior to joining Wormpex AI Research, he has been working with Snap Inc. as a Senior Research Scientist. Dr. Zhou Ren has co-authored 40+ journal, conference papers, and patents. His research interests include computer vision, multimedia, natural language processing, and machine learning. His team has been the runner-up winner in NIPS 2017 Adversarial Attack and Defense Competition among 107 teams; one of his work has been nominated to the :CVPR 2017 Best Student Paper Award;; and he is the winner of the :IEEE Trans. on Multimedia 2016 Best Paper Award;. He serves as the Associate Editor of The Visual Computer Journal and Area Chair of CVPR 2021. He obtained his Ph.D. degree in Computer Science from the University of California, Los Angeles.

Yu-Chiang Frank Wang, National Taiwan University, Taiwan

Frank Wang received the B.S. degree in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 2001. He obtained his M.S. and Ph.D. degrees in electrical and computer engineering from Carnegie Mellon University, Pittsburgh, PA, USA, in 2004 and 2009, respectively. He joined the Research Center for Information Technology Inno-vation (CITI), Academia Sinica, Taipei, Taiwan, in 2009 as an Assistant Research Fellow, leading the Multimedia and Machine Lab at CITI. He was later promoted as an Associate Research Fellow in 2013. From 2015 to 2017, He also served as a Deputy Directorof CITI. In 2017, he joined the Graduate Institute of Communication Engineering and Department of Electrical Engineering of National Taiwan University as an Associate Professor, and was promoted to Professor in 2019. He leads the Vision and Learning Lab and focuses on research topics of computer vision and machine learning. He serves as the member of Senior Program Committee, Program Committee and Area Chairs at multiple international conferences such as CVPR, ICCV, ECCV, AAAI, and related academic activities. Several of his papers were nominated for the best paper awards at IEEE ICIP, IEEE ICME and IAPR MVA. He was twice selected as the Outstanding Young Researchers by the Ministry of Science and Technology of Taiwan. He also currently holds the position as the AI Advisory Consultant at ASUS Intelligent Could Services.

Chia-Wen Lin, NTHU, Taiwan

Chia-Wen Lin received his Ph.D. gree in Electrical Engineering from National Tsing Hua University (NTHU), Hsinchu, Taiwan in 2000. He is currently a Professor with the Department of Electrical Engineering and the Institute of Communications Engineering of NTHU. He also serves as Deputy Director of the AI Research Center of NTHU. Prior to joining NTHU in 2007, he worked for the Department of Computer Science & Information Engineering of National Chung Cheng University, Chiayi, Taiwan from 2000 to 2007, and for Industrial Technology Research Center from 1992 to 2000. He is an IEEE Fellow (class of 2018) and a Member of APSIPA. He was Conference Chair for IEEE VCIP 2019, TPC Chair for IEEE ICIP 2019 and IEEE ICME 2010, and Award Chair and Forum Chair for APSIPA ASC 2013. He has also served as Associate Editor for four IEEE journals. He received the Best Paper Award from IEEE VCIP 2015. He is President of the Chinese Image Processing and Pattern Recognition Association, Taiwan.


Bios of Industrial Forum Committee

Ying Li, IBM, USA

Dr. Ying Li is currently a Principal Data Scientist and a manager at IBM Human Resources, leading projects that develop advanced people analytics related to various stages of employee lifecycle, such as talent acquisition, engagement, development, retention and growth. Before joining HR, she spent one year at IBM GBS (Global Business Service) providing technical consultancy as well as deep solutioning guidance on projects that leverage Watson cognitive capabilities and advanced analytics. Before joining GBS, she was a Research Staff Member at IBM T. J. Watson Research Center for 13 years. Ying received the Ph.D. degree in Electrical Engineering from the University of Southern California (USC) in 2003.

Ying's research interests include digital image processing, multimedia content analysis, computer vision, business analytics, computational creativity and cognitive computing. Ying has authored or co-authored around 70 peer-reviewed conference and journal papers including ACM MM, ICMR, ICME, ICPR, SCC, CSVT, IEEE Multimedia and PRL, as well as 7 book and book chapters on various multimedia and computer vision related topics. She currently holds 50+ US patents.

Ying has been serving on the Technical Program Committee of dozens of IEEE and ACM conferences such as ICME, ICIP, ICASSP, SCC and ACM Multimedia, as well as on the Program Committee of various IEEE conferences and workshops. She is on the editorial board for Journal of Visual Communication and Image Representation (JVCI) and International Journal of Multimedia Information Retrieval (JMIR). Ying was (or is) the Publicity Chair of MMSP 2007; Finance Chair of VCIP 2012, ICME 2009, 2014 and 2016; Area Chair of ICPR 2012, ISCAS 2014-2017, BigMM 2015 and ICME 2015; Industry Program Chair of ISM 2009 and 2011; Panel Co-Chair of ISM 2013, 2015 and BigMM 2017, and co-chairs of various special sessions at ICME and SPIE. She was on NSF panel of Video Analysis Track in 2005. Ying was the leading General Co-Chair for VCIP 2017.

Ying is an IEEE Senior Member and was awarded as IBM Master Inventor for the Class of 2016.

Sunil Bharitkar, HP Labs, USA

Sunil Bharitkar received his Ph.D in Electrical Eng. from the University of Southern California (USC) in 2004 and is presently the Distinguished Member of Technical Staff at HP Labs. His research spans neural networks, signal processing, speech/audio, bioinformatics (signal proceedings and deep learning for cancer), physio-signal (e.g., EEG) analysis, & machine learning. The research has led to tech that is in HP products ( From 2011-2016 he was the Director of Audio at Dolby leading/guiding research in audio, signal processing, haptics, machine learning, & standardization at ITU, SMPTE. He co-founded the Intel-funded company Audyssey Labs in 2002 where he was VP/Research responsible for inventing new technologies which were licensed to companies including IMAX, Denon, Audi, Sharp, etc. He also taught in the Dept. of Electrical Engineering at USC.

Sunil has published over 50 peer-reviewed conf./journal papers and has over 20 patents in the area of signal processing, acoustics, neural networks, pattern recognition, and a textbook (Immersive Audio Signal Processing) from Springer-Verlag. He is a recipient of the Outstanding Paper Award from the 2019 9th IEEE-ICCE Conf., a Best Paper Award at the 2003 37th IEEE Asilomar Conf. on Signals, Systems, &Computers, and the Dept. of EE (USC) TA Award for DSP.

He is a reviewer for various IEEE journals, Journal of the Acoustical Society of America, EURASIP, and the Journal of the Audio Eng. Soc. He has also been on the Organizing and Technical Program Committees of the 2008 & 2009 European Sig. Proc. Conference (EUSIPCO), the 57th AES Conference. He has also served as an invited tutorial speaker at the 2006 IEEE Conf. on Acoust. Speech and Sig. Proc. (ICASSP).

Sunil is an IEEE Senior Member, member of the ILB of the IEEE Systems, Man, & Cybern. Society, the Acoustical Soc. of Amer. (ASA), European Association for Signal and Image Processing (EURASIP), and the Audio Eng. Soc. (AES). Sunil is a PADI diver & plays the Didgeridoo.

Bin Shen, Pinterest, USA

Bin Shen is now working at Pinterest. He was with Google New York from 2015 to 2019, where he worked for Google Research and YouTube. He earned B.S. and M.S. degrees from Department of Electronic Engineering, Tsinghua University, Beijing, in 2007 and 2009, respectively, and M.S. and Ph.D. degrees from Department of Computer Science, Purdue University, West Lafayette, Indiana, in 2011 and 2014. His research interests lie in machine learning, image processing and computer vision.

Tomokazu Murakami, Hitachi, Japan

Tomokazu Murakami is a Department Manager of Intelligent Vision Research Department of Hitachi, R&D Group, Center for Technology Innovation, currently leading a research department developing video analytics technologies. He has been engaged in research and development of image processing, video coding and image recognition techniques for 20 years and now his team is developing new technologies and solutions for video surveillance and content management systems.

He received a Master degree in Information and Communication Engineering and a Ph.D. degree in Information Science and Technology from The University of Tokyo. He was a visiting researcher at Stanford University in 2008. Dr. Murakami is a member of The Institute of Electronic, Information, and Communication Engineers (IEICE), The Institute of Image Information and Television Engineers (ITE), and The Virtual Reality Society of Japan (VRSJ). He received the VRSJ Young Researcher's Award in 1998 and the IEICE Young Researcher's Award in 2006.

Kazuo Sugimoto, Mitsubishi Electric, Japan

Kazuo Sugimoto is a senior department manager at Information Technology R&D Center, Mitsubishi Electric Corporation, Japan, where he is leading a department of researchers working on AI related R&D. Prior to this he had been with Mitsubishi Electric as a research scientist and later as a group manager and his research topics were on video compression, image processing and visual analysis. He used to be an active member of standardizing HEVC under ISO/IEC JTC 1/SC 29/WG 11(MPEG) and holds 50+ patents and he is still an active member of ISO/IEC JTC 1/SC 42 to standardize AI related topics. He was with Mitsubishi Electric Research Labs in Massachusetts from 2013 to 2016 and a visiting researcher at Stanford University from 2007 to 2008. He received his BS and MS degrees in electrical engineering from the University of Tokyo, Japan.

Kong Aik Lee, Agency for Science Technology and Research (A*STAR), Singapore

Dr. Lee is currently a Senior Scientist at the Institute for Infocomm Research, A*STAR, Singapore. He was a Senior Principal Researcher at the Biometrics Research Laboratories, NEC Corp., Japan, from 2018 to 2020. He received his Ph.D. degree from Nanyang Technological University, Singapore, in 2006. From 2006 to 2018, he was a Research Scientist at the Human Language Technology department, I2R, A*STAR, Singapore, where he led the speaker recognition group. He was the recipient of Singapore IES Prestigious Engineering Achievement Award 2013 for his contribution to voice biometrics technology, and the Outstanding Service Award by IEEE ICME 2020. He was the Lead Guest Editor for the CSL SI on :Two decades into Speaker Recognition Evaluation - are we there yet?; Currently, he serves as an Editorial Board Member for Elsevier Computer Speech and Language (2016 - present), and an Associate Editor for IEEE/ACM Transactions on Audio, Speech and Language Pro2030 cessing (2017 - present). He is an elected member of IEEE Speech and Language Technical Committee, and the General Chair of the Speaker Odyssey 2020 Workshop.

Xiaozhong Xu, Tencent, USA

Xiaozhong Xu is a Principal Researcher and Manager of Multimedia Standards at Tencent Media Lab. He was a Senior Staff Engineer/Manager at MediaTek USA Multimedia Technology Development division from 2013 to 2017. Prior to that, he also held technical positions at different organizations including Zenverge Inc. (now NXP), Mitsubishi Electric Research Laboratories, Thomson (now Technicolor). Since 2004, he has been an active participant and contributor in various video coding standardizations, including China's AVS, H.264/AVC and its multi-view coding (MVC) extensions, H.265/HEVC and its screen content coding (SCC) extensions, MPEG-5 EVC and the latest VVC video coding standard. He is an inventor or co-inventor of 100+ granted US patent or pending applications. He received his PhD degree from Tsinghua University, Beijing China in 2009. His main research interest lies in multimedia data processing, compression and communication.

Avinash L. Varna, Intel, USA

Avinash L. Varna is currently a Principal Engineer with Intel, Chandler, AZ, USA. He received the B.Tech. degree in electrical engineering from the Indian Institute of Technology, Madras, in 2005, and the Ph.D. degree in electrical engineering from the University of Maryland, College Park, in 2011. His research interests include security of embedded systems and cryptographic implementations, information forensics, multimedia security, and digital rights management.


Bios of Industrial Membership Committee

Xi Wang, Fujitsu Lab, USA

Xi Wang is a Senior Researcher with Fujitsu Laboratories of America in Richardson, Texas USA, where his research focuses on architecture design, control and management of Software-Defined Networks (SDN), packet optical networks, vehicular networks, network programming, optical/wireless network integration, and future Information and Communications Technology (ICT) fusion. Prior to joining Fujitsu, he was a visiting post-doctoral research associate with the Electronic Visualization Laboratory, Computer Science Department, University of Illinois at Chicago from 2005 to 2007, where he was engaged in research on innovative photonic networking technologies contributing to the overall design of a seamless global optical infrastructure for eScience applications. Xi Wang received B.S. degree in electronic engineering from Doshisha University, Japan in 1998, and M.E. and Ph.D. degrees in information and communication engineering from the University of Tokyo, Japan in 2000 and 2003, respectively. He has over 200 publications and holds 30+ US and international patents and pending applications. Dr. Wang served on the Technical Program Committee of the Optical Fiber Communications conference OFC/NFOEC 2013 & 2014, OFC 2015, and OSA Photonics in Switching conference 2017. He is a member of IEEE Communications Society & IEEE Vehicular Technology Society.

Ying Li, Cirrus, USA

Dr Li received her B.S and master degrees in electrical engineering from Xian Jianying University in 2001 and 2004, respectively. She was granted PhD degree in signal processing from Arizona State University in 2010. After one year・s post-doc, she joined Cirrus Logic in 2011 and works as a researcher in audio signal processing since then. She expertise on noise reduction and echo cancellation in single or multiple microphones, including linear/nonlinear AEC, multiple channel AEC, single and multiple mic noise reduction, far field pickup, single/double talk detection, direction of arrival, Voice activity detection etc. She was granted a few rewards from the company for her exceptional contributions. She holds a few granted or pending patents on audio signal processing.

Hui Dong, Huawei, USA

Hui Dong has worked in various areas of speech communication and population health for more than 25 years with an emphasis on signal and data processing. She currently is an independent consultant in digital signal processing and digital health. She did her post-doc training at Signal Compression Lab at the University of California at Santa Barbara, and received her Ph.D., M. S, B. S from Southern Methodist University, Texas A&M University, and Wuhan University respectively, all in electrical engineering.

Lynn Lu, Nokia, China

Linli Lu is Director and head of APAC BBA product line management team in Nokia. Linli hold Master degree and MBA from Shanghai Jiao Tong University and Huazhong Science and Technology University. Prior to joining Nokia, she held senior technical and management positions in Ericsson, Alcatel-Lucent and ZTE. She owns 20+ patents in China, US and Europe, which have been applied in portfolio and deployed more than several million lines. She is author of 20+ academic articles in China and international journals and conferences. She has been editor of ITU-T recommendations and CCSA standards, with more than 50 contributions to SDOs such like FSAN, BBF, NGMN, IEEE and etc.Ms.Lu has been awarded national 1st grade science & technology improvement, ALTA member, national ITU-T excellent contributor.

Ramesh Subrahmaniam,Infinera, USA

Ramesh Subrahmaniam is an independent consultant in Software Architecture and System. Prior to being with Infinera Corporation, he was a Principal Software Architect at Futurewei Technologies working with the strategy team. Prior to that he was a Principal researcher with Ericsson Research Silicon Valley, California. He has an extensive background in Systems and Software with 20 plus years of experience. He was the inventor of 8 patents and several pending applications. He has co-authored publications on packet optical systems and technologies in several conferences. Ramesh Subrahmaniam obtained his M.S. degree in computer science from the Florida Institute of Technology, Melbourne, FL USA.

Wenda Ni, Microsoft, USA

Wenda Ni is with Microsoft Azure Networking. Prior to joining Microsoft, he was a Senior Embedded Software Designer with Pleora Technologies Inc., a Lead R&D Engineer with Viscore Technologies Inc., and a Researcher with the Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada. Dr. Ni is a semi-finalist in the 2010 Corning Outstanding Student Paper Competition, a runner-up of the 2013 Fabio Neri Best Paper Award, and, most notably, a recipient of O-1 visa, a US visa category for individuals with extraordinary ability or achievements. He is serving or served as a TPC member for many international conferences, such as IEEE ICC, IEEE GLOBECOM, IEEE ONDM, IEEE ICNC, OSA ACP, and OSA Photonic Networks and Devices. Wenda Ni received his B.Eng. (with excellence) and Ph.D. degrees in Electronic Engineering from Tsinghua University, Beijing, China.

Qi Wei, Siemens Research, USA

Qi Wei received his Ph.D degree in Signal and Image Processing from National Polytechnic Institute of Toulouse (INP-ENSEEIHT), University of Toulouse, France in September 2015 and Bachelor degree in Electrical Engineering from Beihang University (BUAA), Beijing, China in July 2010. His doctoral thesis Bayesian Fusion of Multi-band Images: A Powerful Tool for Super-resolution was rated as one of the best theses (awarded Prix L_eopoldEscande) at University of Toulouse, 2015. From August of 2015 to September of 2016, he worked on multi-band image processing as a Research Associate with Signal Processing Laboratory, Department of Engineering, University of Cambridge, UK. From October of 2016 to September of 2017, he worked with Prof. Lawrence Carin and Prof. Katherine Heller as an Research Associate at Duke University, US. Since September 2017, he has joined Siemens Corporate Technology as a Research Scientist. His research has been focused on machine/deep learning, computer vision/image processing, Bayesian statistical inference, etc.

Yasunori Owada, NICT, Japan

YasunoriOwada is a Senior Researcher at National Institute of Information and Communications Technology (NICT), Japan. He is involved in designing wireless access network architectures for future mobile and sensor networks. He is currently developing distributed IoT platform for smart society, designing cross-layer system and distributed edge computing architecture. Dr. Owada was engaged in the standardization of a mobile ad hoc network (MANET) WG at IETF from 2004 to 2008. He was then involved in development of wireless network simulator "Scenargie" at Space-Time Engineering Japan, Inc., serving as President from 2008 to 2010. He obtained his master and Ph.D degree in electronics and electrical communications from Niigata University, Japan. He received the IEICE Young Researcher's Award in 2003. He is on the editorial board of Journal of IEICE Special Issue of MoNA, board member of IEICE technical committee on AN, MoNA, ASN in 2010-2013, 2013-2015, 2016-2018 respectively.

Tianran Liang,Google, USA

Tianran Liang is with Google's technical infrastructure team. Prior to joining Google, he worked for Avago Technologies (now Broadcom Limited), where he was the tech lead on high-speed optical transceiver products. His interests include datacenter networking, high-speed optical interconnects, compute and storage infrastructure systems. He received his B.S. degree in Engineer Physics from Tsinghua University, Beijing, China in 2006, and Ph.D. degree in Applied Science Engineering from the University of California, Davis in 2013.

Qirui Huang, SUTD, Singapore

Qirui Huang received his Bachelor Degree and Master degree in optical communications, both from Huazhong University of Science and Technology, Wuahn, P. R. China, in 2004 and 2007, respectively. He received his Ph.D degree in Electrical and Electronic Engineering from Nanyang Technological University in 2011. He was the recipient of the Outstanding Ph.D students Award in 2010 from Chinese Government in recognition of his research achievements during Ph. D studies. From 2011 to 2015, he was with the Institute for Infocomm Research, A*STAR in Singapore, where he was a scientist and working on research in large-scale switching technologies, data center networks, and software defined networking. He is currently the principal architect of network system and project manager in Temasek Lab at Singapore University of Technology and Design. Dr. Huang was a recipient of IEEE ICC 2012 best paper award. He has filed one patent in Singapore and has authored more than 30 publications in journals and conferences.

Jiguang Li, Goforward, China

Jiguang Li is Chief Technology Officer of Zhejiang Goforward Technology Inc. Before that Then he worked as technology director of ProEnergy Technology, New York and senior scientist Nanorods LLC and engineer in Alcatel Shanghai Bell. His research interest includes semiconductor material and device, optoelectronic system and applications, optical communications and signal processing. He led projects funded by NSF, CBRN, Maryland TEDCO, Zhejiang Commission of Information, etc. He published 20+ patents, articles in journals and conferences, including publication with Nobel Prize Laureate. He received Chinese Government Award for National Outstanding Self-Financed Students Abroad in 2011. He is a member of Institute of Electrical and Electronics Engineers (IEEE), Materials Research Society (MRS) and Optical Society of America (OSA). He received bachelor degree from Huazhong University of Science and Technology, China and master of science from Rensselaer Polytechnic Institute, USA and Ph.D. from University of Virginia, USA.

Yohei Kawaguchi, Hitachi, Japan

Dr. Kawaguchi is a senior research scientist in Hitachi, Ltd. He received B.E and M.E. degrees in Informatics from Kyoto University, Japan, in 2005 and 2007, respectively. He received a Ph.D. degree in Engineering from The University of Tsukuba, Japan, in 2017. He joined the Central Research Laboratory, Hitachi, Ltd. in Japan in 2007, where he is currently a senior research scientist and a team leader. His research interests are in signal processing and machine learning for Internet of Things (IoT) systems using microphone arrays, vibration sensors, underwater sonars, chemical sensors, optical sensors, etc., with recent activities focused on acoustic scene classification for machine-health diagnosis. He won the 2016 Signal Processing Young Researcher Encouragement Award from the Institute of Electronics, Information and Communication Engineers in Japan (IEICE) Signal Processing Technical Committee. He served as a co-secretary of IEEE SPS Tokyo-Joint Chapter in 2017-2018, a special session co-chair of IWAENC 2018, etc. He is a member of DCASE 2020 Workshop organizing committee and a general co-chair. He is a senior member of IEEE SPS, a member of the Asia-Pacific Signal and Information Processing Association (APSIPA) Signal and Information Processing Theory and Methods (SIPTM) Technical Committee, a member of the IEICE Signal Processing Technical Committee, and a member of the editorial board of Journals of Acoustical Society of Japan (ASJ).

Jianquan Liu, NEC, Japan

Jianquan Liu is currently a senior researcher at the Biometrics Research Laboratories of NEC Corporation, working on the topics of multimedia data processing. He is also an adjunct assistant professor at Graduate School of Science and Engineering, Hosei University, Japan. Prior to NEC, he was a development engineer in Tencent Inc. from 2005 to 2006, and was a visiting researcher at the Chinese University of Hong Kong in 2010. His research interests include high-dimensional similarity search, multimedia databases, web data mining and information retrieval, cloud storage and computing, and social network analysis. He has published 50+ papers at major international/domestic conferences and journals, received 20+ international/domestic awards, and filed 40+ PCT patents. He also successfully transformed these technological contributions into commercial products in the industry. Currently, he is/was serving as the General Co-chair of IEEE MIPR 2021; the PC Co-chair of IEEE ICME 2020, AIVR 2019, BigMM 2019, ISM 2018, ICSC 2018, ISM 2017, ICSC 2017, IRC 2017, and BigMM 2016; the Workshop Co-chair of IEEE AKIE 2018 and ICSC 2016; the Demo Co-chair of IEEE MIPR 2019 and MIPR 2018. He is a member of ACM, IEEE, IPSJ, and the Database Society of Japan (DBSJ), a member of expert committee for IEICE Mathematical Systems Science and its Applications, and IEICE Data Engineering, and an associate editor of IEEE MultiMedia Magazine and the Journal of Information Processing (JIP). Dr. Liu received the M.E. and Ph.D. degrees from the University of Tsukuba, Japan.

Kuansan Wang, Microsoft, USA

Kuansan Wang is Managing Director of Microsoft Research Outreach in Redmond, WA. He joined Microsoft Research in 1998, first as a researcher in the Speech Technology Group working on multimodal dialog system, then as an architect in the Speech Product Group that shipped various speech products, including the Voice Command on mobile that eventually becomes Cortana, and Microsoft Speech Server that is still powering Microsoft and partners・ call centers. In 2007, he rejoined Microsoft Research to work on large scale natural language understanding and web search technologies, and is currently responsible for Microsoft Academic Services, a large machine reading effort that uses AI agents to dynamically acquire knowledge from the web and make it available to the general public. Kuansan received his BS from National Taiwan University and MS and PhD from University of Maryland, College Park, respectively, all in Electrical Engineering. In addition to 100+ scholarly papers and 90+ patents he has published, his work has also been adopted into 10 international standards from W3C, ECMA and ISO.

Shang-Hong Lai, Microsoft, Taiwan

Shang-Hong Lai is currently a principal researcher at Microsoft AI R&D Center, where he leads a team focusing on computer vision research related to face related applications. He received the B.S. and M.S. degrees from National Tsing Hua University, Taiwan and the Ph.D. degree from University of Florida, Gainesville, USA. He joined Siemens Corporate Research in Princeton, New Jersey, USA, as a member of technical staff in 1995. Since 1999, he joined the Department of Computer Science, National Tsing Hua University, Taiwan, where he has been a professor there. Since 2018, Dr. Lai has been on leave from NTHU to join Microsoft AI R&D Center, Taiwan. Dr. Lai・s research interests are mainly focused on computer vision, image processing, and machine learning. He has authored more than 300 papers published in refereed international journals and conferences in these areas. In addition, he has been awarded around 30 patents on his researches on computer vision. He has involved in the organization for a number of international conferences in computer vision and related areas, such as ICCV, ACCV, ICIP, etc. Furthermore, he has served as an associate editor for Journal of Signal Processing Systems and Pattern Recognition.

Sunil Sivadas, NCS CorpLabs, Singapore

Sunil Sivadas is a Lead Research Scientist and Associate Director of CorpLabs in NCS Product & Platforms department. He leads the research and development of applied machine learning and natural language processing for accelerating customer・s digital transformation needs. He directs many research projects in Singtel Cognitive and Artificial Intelligence Lab for Enterprises at Nanyang Technological University, Singapore. Prior to joining NCS, he was the unit head of Human Language Technology department in Institute for Infocomm Research, A*STAR, Singapore.

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