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
Ning Xu, Kuaishou US R&D Center, USA (Deputy Chair)
Industrial Publication Committee
Zhou Ren, Wormpex AI Research, USA (Chair)
Chongyang Ma, Kwai, USA
Yu-Chiang Frank Wang, National Taiwan University, Taiwan
Chia-Wen Lin, NTHU, Taiwan
Sunil Sivadas, NCS CorpLabs, Singapore
Gang Yu, Tecent, China
Wei Xia, Amazon, USA
Tian Lan, Amazon, USA
Yuning Jiang, Alibaba, China
Yuqian Dong, Walmart, USA
Industrial Forum Committee
Toshihiko Sugie, Hokkaido University, Japan (Chair)
Bin Shen, Pinterest, USA
Tomokazu Murakami, Hitachi, Japan
Kazuo Sugimoto, Mitsubishi Electric, Japan
Kong Aik Lee, Agency for Science Technology and Research (A*STAR), Singapore
Gang He, Kuaishou Multimedia R&D Center, China
Xin Chen,Intel Corp.,USA
Industrial Membership Committee
Cheng-Kuang Lee, NVIDIA, Taiwan (Chair)
Ying Li, Cirrus, USA
Linli Lu, Nokia, China
Yi Zhang, Huawei, China
Qi Wei, Siemens Research, USA
Qirui Huang, SUTD, Singapore
Jiguang Li, Goforward, China
Yohei Kawaguchi, Hitachi, Japan
Jianquan Liu, NEC, Japan
Shang-Hong Lai, Microsoft, Taiwan
Top
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 2023 Fall APSIPA Industrial Distinguished Leaders
1. Stefan Winkler, AICS Research Director, National University of Singapore
2. Serhad Doken, ADEIA CTO
Year 2023 Spring APSIPA Industrial Distinguished Leaders
1. Zicheng Liu, partner research manager, Microsoft Azure AI
Year 2022 Fall APSIPA Industrial Distinguished Leaders
1. Yanzhi Wang, Northeastern University, Chairman and former CEO of CoCoPIE Inc., USA
2. Shuhao Wang, Co-founder and CTO of Thorough Future
Year 2022 Spring APSIPA Industrial Distinguished Leaders
1. Xiaoyu Wang, Cofounder & Chief Scientist, Intellifusion Technologies
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, JD.com
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) Top
Bios of Board Chair and 3 Committee Chairs:
Seishi Takamura, Hosei University/NTT Corporation, 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 had served as a Senior Distinguished Engineer at NTT Computer and Data Science Laboratories until 2022 and currently he is a visiting Secnior Distinguished Engineer at NTT and a Professor of Hosei University. Dr. Takamura is a Fellow of IEEE, IEICE, ITE and IPSJ, and a member of MENSA and APSIPA.
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.
Zhou Ren, Wormpex AI Research, USA Dr. Zhou Ren is currently a Principal Research Manager at Wormpex AI Research. Prior to joining Wormpex AI Research, he has been working at Snap Inc. as a Senior Research Scientist. Dr. Zhou Ren has co-authored 50+ journal, conference papers, and patents. His research interests include computer vision, multimedia, natural language processing, and machine learning. His team has won the First Place in ICCV 2021 Low Power Computer Vision Challenge (video track), and won the Runner-up Prize in NIPS 2017 Adversarial Attack and Defense Competition. 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 since 2018 and the Area Chair of CVPR 2021, CVPR 2022, and WACV 2022. He obtained his Ph.D. degree in Computer Science from University of California, Los Angeles.
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 Life Senior 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.
Cheng-Kuang Lee, NVIDIA, Taiwan Dr. Cheng-Kuang (CK) Lee currently serves as a senior solution architect since 2018 and leads NVAITC-TW (NVIDIA AI Technology Center ¡V Taiwan). Dr. Lee worked in TSMC during 2016 - 2018 as principal engineer of YEP (Yield Excellence Program) for developing machine learning and deep learning technology for defect inspection. From 2012 to 2016, he was assistant professor of EE department and Graduate Institute of medical mechatronics of Chang Gung University (CGU). He received the B.S degree in Physics in 2003, and the PhD degree in 2010 from Graduate Institute of Photonics and Optoelectronics, both from National Taiwan University (NTU). His research and scientific interests include deep learning and machine learning algorithm development, Medical or Industrial imaging system, like Optical Coherence Tomography/Microscopy, ultrasound, MRI, CT etc. In 2020, Dr. Lee support NVIDIA global Covid-19 Federated Learning project to predict oxygen need in triage and the result is published in Nature Medicine. He also supports the National Taiwan University Hospital to develop HeaortaNet, a model for segmenting heart, ascending/descending aorta with non-contrast CT. The HeaortaNet project won Future Tech Award 2021 and National Innovation Award in 2021. He led a team in NVIDIA to collaborated with NYMU prof Ching-Po Lin to win Top 4 rank in the world of PREDICTIVE ANALYTICS COMPETITION (PAC 2019) for predicting brain age based on structural Magnetic Resonance Imaging, and collaborated with NTHU prof Chi-Chun (Jeremy) Lee's lab to win Top 1 rank of Interspeech 2019 ComParE challenge, and obtained Silver medal (20/468 Top 5%) in Inclusive Images Challenge (Google AI challenge) on Kaggle.com in 2018.
Top
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.
Top
Bios of Industrial Publication Committee
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.
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.
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.
Gang Yu, Tecent, China Gang Yu is a research director at Tencent. He received Ph.D. from Nanyang Technological University (NTU), Singapore. Before joining Tencent, he was the team leader in Megvii, leading the development of detection/segmentation techniques for mobile and embedded devices. He has published more than 30 papers on top journals and conferences. He is the winner for more than ten challenges, including COCO detection/skeleton (2017 & 2018), Widerface Face Detection (2018), ActivityNet AVA Detection (2018), and WAD Instance Segmentation (2018). He received Microsoft Research Asia Fellowship in 2011.
Wei Xia, Amazon, USA Dr. Wei Xia is a Principal Scientist at Amazon, leading the research efforts in Amazon Rekognition, an AWS cloud AI service for large scale visual recognition. Previously he was the Chief Scientist and a founding member for Orbeus Inc., which was acquired by Amazon in Sep 2015. He was leading the research to support both the ReKognition APIs and consumer-end products, like Phototime, the first intelligent photo album. Wei obtained his Phd in computer vision from National University of Singapore and conducted research at Panasonic and Lund University, etc. He has published 20+ papers and filed 20+ US patents. He also served as the reviewer in top-tiered conferences and journals, like TPAMI/ICCV/CVPR, etc. He has won the winner awards of PASCAL VOC classification and segmentation competition in 2012, runner-up award in ILSVRC challenge 2013, and winner award of ILSVRC detection challenge in 2014. Together with his colleagues in AWS, he also initiated a new research direction of ML model compatibility and co-organized the first tutorial of this topic in CVPR 2021.
Tian Lan, Amazon, USA Dr. Tian Lan is a Principal Scientist and Research Manager at Amazon. He is leading the Amazon Go research team to develop the world¡¦s first ever Just Walk Out technology to re-invent retail using computer vision and deep learning. Prior to joining Amazon, he was a post-doctoral researcher at Stanford University in 2013-2014. Dr. Lan received his Ph.D. in Computer Science from Simon Fraser University in 2013. He earned his M.Sc. also from Simon Fraser, in 2010, and his B.Eng. from Huazhong University of Science and Technology in 2008. His Ph.D. thesis on structured visual recognition won the?CIPPRS Doctoral Dissertation Award, awarded annually to the top thesis in Canada in the field of computer vision and robotics.?He served as the website chair of CVPR 2020.?
Yuning Jiang, Alibaba, China Yuning Jiang is the director of Ads Engineering Business Unit of Alibaba Inc. Prior to joining Alibaba, Jiang has been working with Bytedance AI Lab and Megvii Inc. as a research scientist. Jiang's research topics include computer vision and machine learning, co-authoring 40+ journal, conference papers, and patents. Specifically, he focuses on multi-media advertising system and visual content generation. Yuning Jiang received the B.S. degree from University of Science and Technology of China (USTC) in 2010.
Yuqian Dong, Walmart, USA Dr. Yuqian Dong is currently an Associate Director of Data Science at Walmart, focusing on Data Science/Analytics applications in Supply Chain automation and optimization. Prior to joining Walmart, she was the Head of Supply Chain Solutions and Analytics at DP World. Before that, she was a Senior Research Lead at Wormpex AI Research, and a senior manager at Staples. She is extensively experienced in leading data science projects that require collaboration with operation, engineering, and business teams through the full life cycle development of data-centric products. Dr. Dong received her Ph.D. in Aerospace Engineering and M.S. in Operations Research from Georgia Institute of Technology.
Top
Bios of Industrial Forum Committee
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.
Gang He, Kuaishou Multimedia R&D Center, China Gang He, Kuaishou Multimedia R&D Center, China. Gang He is currently a senior expert of video processing technology, in Kuaishou Corp. He focused on video enhancement and coding. He received the B.S. degree in electronic engineering from Xi¡¥an Jiaotong University, Xi¡¦an, China, in 2008, and the M.S. and Ph.D. degree in system LSI from Waseda University, Kitakyushu, Japan, in 2011 and 2014, respectively.?He was the product designer once, and his leading project had been reported by china famous TV CCTV13. Now his research domain includes video restoration, super resolution, HDR, and future video coding. He is also an associate professor with Xidian University and supervised more than 50 graduated students. He has published over 80 research papers, such as AAAI, T-IP and T-CSVT.?
Xin Chen,Intel Corp.,USA Dr. Xin Chen is currently a Senior Software Engineer at Intel Corp.,USA . Prior to joining Intel, he worked for Kuaishou US R&D Center, Media Emerging Technology Center (San Jose,CA), Mass General Hospital/ Harvard Medical School. His main work areas are computer vision, machine learning, hardware-software codesign for model compression, and high performance computing. Dr. Chen co-authored 30+ journal and conference papers, patents and patent applications.Dr. Chen received his Ph. D in Mechanical Engineering from University of Hawaii at Manoa in 2007.
Top
Bios of Industrial Membership Committee
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.
Linli 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.
Yi Zhang, Huawei, China Dr. Yi Zhang is a principal engineer and data scientist in Cloud based Systems at Huawei Ireland research centre. He used to work as a research fellow at Trinity College Dublin, Ireland from 2015 to 2020, on deep learning, reinforcement learning, data analytics, cloud system and software-defined wireless networks. He was a postdoctoral researcher in Politecnico di Torino, Italy on energy-efficient wireless networks from November 2012 to May 2015. He got his Ph.D. and bachelor degree both on Electronic engineering from Tsinghua University, China, and spent 2 years in Dept. of Computer Science of the University of California, Davis, USA, as a visiting researcher. He is a senior member of IEEE. He has been serving as a TPC member for 20+ IEEE/ACM conferences. He has served as an associate editor of IEEE Access Journal. His google scholar citation is 1000+.
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.
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.
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.
Top
|
