MSRA Academic Day 2019

Prof. Balan is an ACM Distinguished Scientist and has worked in the area of mobile systems for over 18 years. He obtained his Ph.D. in Computer Science in 2006 from Carnegie Mellon University under the guidance of Professor Mahadev Satyanarayanan. He has been a general chair for both MobiSys 2016 and UbiComp 2018 and has served as a program chair for HotMobile 2012 and MobiSys 2019. In addition, he also organised student workshop, called ASSET, that ran at MobiCom 2019, COMSNETS 2018, and MobiSys 2016. Prof. Balan has a strong interest in applied research and was a director for LiveLabs (http://www.livelabs.smu.edu.sg), a large research / startup lab that turned real-world environments (such as a university, a convention centre, and a resort island) into living testbeds for mobile systems experiments. He founded a startup to more effectively provide LiveLabs technologies to interested commercial clients. These experiences have given Prof Balan a great insight into how hard and meaningful it is to translate research into tangible systems that are tested and deployed in the real world.

Ting Cao is now a Researcher in System Research Group of MSRA. Her research interests include HW/SW co-design, high-level language implementation, software management of heterogeneous hardware, big data and deep learning frameworks. She has reputable publications in ISCA, ASPLOS, PLDI, Proceedings of the IEEE, etc. She got her PhD from the Australian National University. Before joining MSRA, she was a senior software engineer in the Compiler and Computing Language Lab in Huawei Technologies.

Yue Cao is now a researcher at Microsoft Research Asia. He received the B.E. degree in Computer Software at 2014 and Ph.D. degree in Software Engineering at 2019, both from Tsinghua University, China. He was awarded the Top-grade Scholarship of Tsinghua University at 2018, and Microsoft Research Asia PhD Fellowship at 2017. His research interests include computer vision and deep learning. He has published more than 20 papers in the top-tier conferences with more than 1,700 citations.

Xilin Chen is a professor with the Institute of Computing Technology, Chinese Academy of Sciences (CAS). He has authored one book and more than 300 papers in refereed journals and proceedings in the areas of computer vision, pattern recognition, image processing, and multimodal interfaces. He is currently an associate editor of the IEEE Transactions on Multimedia, and a Senior Editor of the Journal of Visual Communication and Image Representation, a leading editor of the Journal of Computer Science and Technology, and an associate editor-in-chief of the Chinese Journal of Computers, and Chinese Journal of Pattern Recognition and Artificial Intelligence. He served as an Organizing Committee member for many conferences, including general co-chair of FG13 / FG18, program co-chair of ICMI 2010. He is / was an area chair of CVPR 2017 / 2019 / 2020, and ICCV 2019. He is a fellow of the IEEE, IAPR, and CCF.

Peng Cheng is the researcher in Networking Research Group, MSRA. His research interests are computer networking and networked systems. His recent work is focusing on Hardware-based System in Data Center. He has publications in NSDI, CoNEXT, EuroSys, SIGCOMM, etc. He received his Ph.D. in Computer Science and Technology from Tsinghua University in 2015.

Jaegul Choo (https://sites.google.com/site/jaegulchoo/ ) is an associate professor in the Dept. of Computer Science and Engineering at Korea University. He has been a research scientist at Georgia Tech from 2011 to 2015, where he also received M.S in 2009 and Ph.D in 2013. His research areas include computer vision, and natural language processing, data mining, and visual analytics, and his work has been published in premier venues such as KDD, WWW, WSDM, CVPR, ECCV, EMNLP, AAAI, IJCAI, ICDM, ICWSM, IEEE VIS, EuroVIS, CHI, TVCG, CFG, and CG&A. He earned the Best Student Paper Award at ICDM in 2016, the NAVER Young Faculty Award in 2015, the Outstanding Research Scientist Award at Georgia Tech in 2015, and the Best Poster Award at IEEE VAST (as part of IEEE VIS) in 2014.

Dr. Nan DUAN is a Principle Research Manager at Microsoft Research Asia. He is working on fundamental NLP tasks, especially on question answering, natural language understanding, language + vision, pre-training and reasoning.

Prof. Winston Hsu is an active researcher dedicated to large-scale image/video retrieval/mining, visual recognition, and machine intelligence. He is a Professor in the Department of Computer Science and Information Engineering, National Taiwan University. He and his team have been recognized with technical awards in multimedia and computer vision research communities including IBM Research Pat Goldberg Memorial Best Paper Award (2018), Best Brave New Idea Paper Award in ACM Multimedia 2017, First Place for IARPA Disguised Faces in the Wild Competition (CVPR 2018), First Prize in ACM Multimedia Grand Challenge 2011, ACM Multimedia 2013/2014 Grand Challenge Multimodal Award, etc. Prof. Hsu is keen to realizing advanced researches towards business deliverables via academia-industry collaborations and co-founding startups. He was a Visiting Scientist at Microsoft Research Redmond (2014) and had his 1-year sabbatical leave (2016-2017) at IBM TJ Watson Research Center. He served as the Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Multimedia, two premier journals, and was on the Editorial Board for IEEE Multimedia Magazine (2010 – 2017).

Sung Ju Hwang is an assistant professor in the Graduate School of Artificial Intelligence and School of Computing at KAIST. He received his Ph.D. degree in computer science at University of Texas at Austin, under the supervision of Professor Kristen Grauman. Sung Ju Hwang’s research interest is mainly on developing machine learning models for tackling practical challenges in various application domains, including but not limited to, visual recognition, natural language understanding, healthcare and finance. He regularly presents papers at various top-tier AI conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, AAAI and ACL.

Guolin Ke is currently a Researcher in Machine Learning Group, Microsoft Research Asia. His research interests mainly lie in machine learning algorithms.

Gunhee Kim is an associate professor in the Department of Computer Science and Engineering of Seoul National University from 2015. He was a postdoctoral researcher at Disney Research for one and a half years. He received his PhD in 2013 under supervision of Eric P. Xing from Computer Science Department of Carnegie Mellon University. Prior to starting PhD study in 2009, he earned a master’s degree under supervision of Martial Hebert in Robotics Institute, CMU. His research interests are solving computer vision and web mining problems that emerge from big image data shared online, by developing scalable and effective machine learning and optimization techniques. He is a recipient of 2014 ACM SIGKDD doctoral dissertation award, and 2015 Naver New faculty award.

Dr. Shujie Liu is a Principle Researcher in Natural Language Computing group at Microsoft Research Asia, Beijing, China. Shujie joined MSRA-NLC in Jul. 2012 after he received his Ph.D in Jun. 2012 from Department of Computer Science of Harbin Institute of Technology.

Shujie’s research interests include natural language processing and deep learning. He is now working on fundamental NLP problems, models, algorithms and innovations.

Prof. Xuanzhe Liu is now an associate professor with the Institute of Software, Peking University, since 2011. He now leads the DAAS (Data, Analytics, Applications, and Systems) lab in Peking University. Prof. Liu’s recent research interests are focused on measuring, engineering, and operating large-scale service-based and intelligent software systems (such as mobility and Web), mostly from a data-driven perspective. Prof. Liu has published more than 80 papers on premier conferences such as WWW, ICSE, OOPSLA, MobiCom, UbiComp, EuroSys, and IMC, and impactful journals such as ACM TOIS/TOIT and IEEE TSE/TMC/TSC. He won the Best Paper Award of WWW 2019. He was also recognized by several academic awards, such as the CCF-IEEE CS Young Scientist Award, the Honorable Young Faculty Award of Yangtze River Scholar Program, and so on. Prof. Liu was a visiting researcher with Microsoft Research (with “Star-Track Young Faculty Program”) from 2013-2014, and the winner of Microsoft Ph.D. Fellowship in 2007.

Jiwen Lu is currently an Associate Professor with the Department of Automation, Tsinghua University, China. His current research interests include computer vision, machine learning, and intelligent robotics. He has authored/co-authored over 200 scientific papers in these areas, where over 70 of them are IEEE Transactions papers and over 50 of them are CVPR/ICCV/ECCV papers. He was a recipient of the National 1000 Young Talents Program of China in 2015, and the National Science Fund of China Award for Excellent Young Scholars in 2018. He serves as the Co-Editor-of-Chief for PR Letters, an Associate Editor for T-IP/T-CSVT/T-BIOM/PR. He is the Program Co-Chair of ICME’2020, AVSS’2020 and DICTA’2019, and an Area Chair for CVPR’2020, ICME’2017-2019, ICIP’2017-2019, and ICPR 2018.

Dr. Chong Luo joined Microsoft Research Asia in 2003 and is now a Principal Researcher at the Intelligent Multimedia Group (IMG). She is an adjunct professor and a Ph.D. advisor at the University of Science and Technology of China (USTC), China. Her current research interests include computer vision, cross-modality multimedia analysis and processing, and multimedia communications. In particular, she is interested in visual object tracking, audio-visual and text-visual video analysis, and hybrid digital-analog transmission of wireless video. She is currently a member of the Multimedia Systems and Applications (MSA) Technical Committee (TC) of the IEEE Circuits and Systems (CAS) society. She is an IEEE senior member.

Dr Sinno Jialin Pan is a Provost’s Chair Associate Professor with the School of Computer Science and Engineering, and Deputy Director of the Data Science and AI Research Centre at Nanyang Technological University (NTU), Singapore. He received his Ph.D. degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2011. Prior to joining NTU, he was a scientist and Lab Head of text analytics with the Data Analytics Department, Institute for Infocomm Research, Singapore from Nov. 2010 to Nov. 2014. He joined NTU as a Nanyang Assistant Professor (university named assistant professor) in Nov. 2014. He was named to “AI 10 to Watch” by the IEEE Intelligent Systems magazine in 2018. His research interests include transfer learning, and its applications to wireless-sensor-based data mining, text mining, sentiment analysis, and software engineering.

Xu Tan is currently a Senior Researcher in Machine Learning Group, Microsoft Research Asia (MSRA). He graduated from Zhejiang University on March, 2015. His research interests mainly lie in machine learning, deep learning, low-resource learning, and their applications on natural language processing and speech processing, including neural machine translation, text to speech, etc.

Chuan Wu received her B.Engr. and M.Engr. degrees in 2000 and 2002 from the Department of Computer Science and Technology, Tsinghua University, China, and her Ph.D. degree in 2008 from the Department of Electrical and Computer Engineering, University of Toronto, Canada. Between 2002 and 2004, She worked in the Information Technology industry in Singapore. Since September 2008, Chuan Wu has been with the Department of Computer Science at the University of Hong Kong, where she is currently an Associate Professor. Her current research is in the areas of cloud computing, distributed machine learning/big data analytics systems, and smart elderly care technologies/systems. She is a senior member of IEEE, a member of ACM, and an associate editor of IEEE Transactions on Cloud Computing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and ACM Transactions on Modeling and Performance Evaluation of Computing Systems. She was the co-recipient of the best paper awards of HotPOST 2012 and ACM e-Energy 2016.

I am currently a researcher at machine learning group, Microsoft Research Asia. I received my Ph.D. degree from University of Science and Technology in 2018, supervised by Dr. Tie-Yan Liu and Prof. Nenghai Yu. Prior to that, I obtained my bachelor degree from University of Science and Technology of China in 2013.

My research revolves around dual learning (a new learning paradigm proposed by our group) and deep learning (with application to neural machine translation and image processing).

Dr. Dongdong Zhang is a researcher in Natural Language Computing group at Microsoft Research Asia, Beijing, China. He received his Ph.D in Dec. 2005 from Department of Computer Science of Harbin Institute of Technology under the supervision of Prof. Jianzhong Li. Before that, he received a B.S. degree and M.S. degree from the same department in 1999 and 2001 respectively.

Dongdong’s research interests include natural language processing, machine translation and machine learning. He is now working on research and development of advanced statistical machine translation systems (SMT) as well as related fundamental NLP problems, models, algorithms and innovations.

Quanlu Zhang is a senior researcher at MSRA. He obtained his PhD in computer science from Peking University. His current focuses are on the areas of AutoML systems, GPU cluster management, resource scheduling, and storage support for DL workload. Some works have been published on conferences such as OSDI, SoCC, FAST etc.

Prof. Balan is an ACM Distinguished Scientist and has worked in the area of mobile systems for over 18 years. He obtained his Ph.D. in Computer Science in 2006 from Carnegie Mellon University under the guidance of Professor Mahadev Satyanarayanan. He has been a general chair for both MobiSys 2016 and UbiComp 2018 and has served as a program chair for HotMobile 2012 and MobiSys 2019. In addition, he also organised student workshop, called ASSET, that ran at MobiCom 2019, COMSNETS 2018, and MobiSys 2016. Prof. Balan has a strong interest in applied research and was a director for LiveLabs (http://www.livelabs.smu.edu.sg), a large research / startup lab that turned real-world environments (such as a university, a convention centre, and a resort island) into living testbeds for mobile systems experiments. He founded a startup to more effectively provide LiveLabs technologies to interested commercial clients. These experiences have given Prof Balan a great insight into how hard and meaningful it is to translate research into tangible systems that are tested and deployed in the real world.

Lei Chen has BS degree in computer science and engineering from Tianjin University, Tianjin, China, MA degree from Asian Institute of Technology, Bangkok, Thailand, and Ph.D. in computer science from the University of Waterloo, Canada. He is a professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). Currently, Prof. Chen serves as the director of Big Data Institute at HKUST, the director of Master of Science on Big Data Technology and director of HKUST MOE/MSRA Information Technology Key Laboratory. Prof. Chen’s research includes human-powered machine learning, crowdsourcing, Blockchain, social media analysis, probabilistic and uncertain databases, and privacy-preserved data publishing. Prof. Chen got the SIGMOD Test-of-Time Award in 2015.The system developed by Prof. Chen’s team won the excellent demonstration award in VLDB 2014. Currently, Pro. Chen serves as Editor-in-Chief of VLDB Journal, associate editor-in-chief of IEEE Transaction on Data and Knowledge Engineering and Program Committee Co-Chair for VLDB 2019. He is an ACM Distinguished Member and an IEEE Senior Member

Wen-Huang Cheng is Professor with the Institute of Electronics, National Chiao Tung University (NCTU), Hsinchu, Taiwan, where he is the Founding Director with the Artificial Intelligence and Multimedia Laboratory (AIMMLab). Before joining NCTU, he led the Multimedia Computing Research Group at the Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan, from 2010 to 2018. His current research interests include multimedia, artificial intelligence, computer vision, machine learning, social media, and financial technology. He has actively participated in international events and played important leading roles in prestigious journals and conferences and professional organizations, like Associate Editor for IEEE Multimedia, General co-chair for ACM ICMR (2021), TPC co-chair for ICME (2020), Chair-Elect for IEEE MSA-TC, governing board member for IAPR. He has received numerous research and service awards, including the 2018 MSRA Collaborative Research Award, the 2017 Ta-Yu Wu Memorial Award from Taiwan’s Ministry of Science and Technology (the highest national research honor for young Taiwanese researchers under age 42), the Top 10% Paper Award from the 2015 IEEE MMSP, the K. T. Li Young Researcher Award from the ACM Taipei/Taiwan Chapter in 2014, the 2017 Significant Research Achievements of Academia Sinica, the 2016 Y. Z. Hsu Scientific Paper Award, the Outstanding Youth Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2015, and the Outstanding Reviewer Award of 2018 IEEE ICME.

Minsu Cho is an assistant professor at the Department of Computer Science and Engineering at POSTECH, South Korea, leading POSTECH Computer Vision Lab. Before joining POSTECH in the fall of 2016, he has worked as a postdoc and a starting researcher in Inria (the French National Institute for computer science and applied mathematics) and ENS (École Normale Supérieure), Paris, France. He completed his Ph.D. in 2012 at Seoul National University, Korea. His research lies in the areas of computer vision and machine learning, especially in the problems of object discovery, weakly-supervised learning, semantic correspondence, and graph matching. In general, he is interested in the relationship between correspondence and supervision in visual learning. He is an editorial board member of International Journal of Computer Vision (IJCV) and has been serving area chairs in top computer vision conferences including CVPR 2018, ICCV 2019, and CVPR 2020.

Seungmoon Choi, PhD, is a Professor of Computer Science and Engineering at POSTECH in Korea. He received the BS and MS degrees from Seoul National University and the PhD degree from Purdue University. His main research area is haptics, the science and technology for the sense of touch, as well as its application to various domains including robotics, virtual reality, human-computer interaction, and consumer electronics. He received a 2011 Early Career Award from the IEEE Technical Committee on Haptics.

Jaegul Choo (https://sites.google.com/site/jaegulchoo/ ) is an associate professor in the Dept. of Computer Science and Engineering at Korea University. He has been a research scientist at Georgia Tech from 2011 to 2015, where he also received M.S in 2009 and Ph.D in 2013. His research areas include computer vision, and natural language processing, data mining, and visual analytics, and his work has been published in premier venues such as KDD, WWW, WSDM, CVPR, ECCV, EMNLP, AAAI, IJCAI, ICDM, ICWSM, IEEE VIS, EuroVIS, CHI, TVCG, CFG, and CG&A. He earned the Best Student Paper Award at ICDM in 2016, the NAVER Young Faculty Award in 2015, the Outstanding Research Scientist Award at Georgia Tech in 2015, and the Best Poster Award at IEEE VAST (as part of IEEE VIS) in 2014.

Chenhui Chu received his B.S. in Software Engineering from Chongqing University in 2008, and M.S., and Ph.D. in Informatics from Kyoto University in 2012 and 2015, respectively. He is currently a research assistant professor at Osaka University. His research won the MSRA collaborative research 2019 grant award, 2018 AAMT Nagao award, and CICLing 2014 best student paper award. He is on the editorial board of the Journal of Natural Language Processing, Journal of Information Processing, and a steering committee member of Young Researcher Association for NLP Studies. His research interests center on natural language processing, particularly machine translation and language and vision understanding.

Jun Du received the B.Eng. and Ph.D. degrees from the Department of Electronic Engineering and Information Science, University of Science and Technology of China (USTC), in 2004 and 2009, respectively. From July 2009 to June 2010, he was with iFlytek Research leading a team to develop the ASR prototype system of the mobile app “iFlytek Input”. From July 2010 to January 2013, he joined MSRA as an Associate Researcher, working on handwriting recognition, OCR, and speech recognition. Since February 2013, he has been with the National Engineering Laboratory for Speech and Language Information Processing (NEL-SLIP), USTC. His main research interest includes speech signal processing and pattern recognition applications. He has published more than 100 conference and journal papers with more than 2300 citations in Google Scholar. His team is one of the pioneers in deep-learning-based speech enhancement area, publishing two ESI highly cited papers. As the corresponding author, the IEEE-ACM TASLP paper “A Regression Approach to Speech Enhancement Based on Deep Neural Networks” also received 2018 IEEE Signal Processing Society Best Paper Award. Based on those research achievements of speech enhancement, he led a joint team with members from USTC and iFlytek Research to win the champions of all three tasks in the 2016 CHiME-4 challenge and all four tasks in 2018 CHiME-5 challenge. Currently he is the associate editor of IEEE-ACM TASLP. He is one of the organizers for DIHARD Challenge 2018 and 2019.

Ryo Furukawa is an associate professor of Faculty of Information Sciences, Hiroshima City University, Hiroshima, Japan. He received his Ph.D. from Nara Institute of Science and Technology, Japan. His research area includes shape-capturing, 3D modeling, image-based rendering, and medical image analysis. He has won academic awards including ACCV Songde Ma Outstanding Paper Award (2007), PSIVT Best Paper Award (2009), IEVC2014 Best Paper Award (2014), IEEE WACV Best Paper Honorable Mention (2017), MICCAI Workshop CARE, KUKA Best Paper Award 3rd Place (2018).

Yao Guo is a professor and vice chair of the Department of Computer Science at Peking University. His recent research interests mainly focus on mobile app analysis, as well as privacy and security of mobile systems. He has received multiple awards for his research work and teaching, including First Prize of National Technology Invention Award, an Honorable Mention Award from UbiComp 2016, as well as a Teaching Excellence Award from Peking University. He received his PhD in computer engineering from University of Massachusetts, Amherst in 2007, and BS/MS degrees in computer science from Peking University.

Bohyung Han is an Associate Professor in the Department of Electrical and Computer Engineering at Seoul National University, Korea. Prior to the current position, he was an Associate Professor in the Department of Computer Science and Engineering at POSTECH, Korea and a visiting research scientist in Machine Intelligence Group at Google, Venice, CA, USA. He is currently visiting Snap Research, Venice, CA. He received the B.S. and M.S. degrees from Seoul National University, Korea, in 1997 and 2000, respectively, and the Ph.D. in Computer Science at the University of Maryland, College Park, MD, USA, in 2005. He served or will be serving as an Area Chair or Senior Program Committee member of major conferences in computer vision and machine learning including CVPR, ICCV, NIPS/NeurIPS, IJCAI and ACCV, a Tutorial Chair in ICCV 2019, a General Chair in ACCV 2022, a Demo Chair in ECCV 2022, a Workshop Chair in ACCV 2020, and a Demo Chair in ACCV 2014. His research interest is computer vision and machine learning with emphasis on deep learning.

Prof. Winston Hsu is an active researcher dedicated to large-scale image/video retrieval/mining, visual recognition, and machine intelligence. He is a Professor in the Department of Computer Science and Information Engineering, National Taiwan University. He and his team have been recognized with technical awards in multimedia and computer vision research communities including IBM Research Pat Goldberg Memorial Best Paper Award (2018), Best Brave New Idea Paper Award in ACM Multimedia 2017, First Place for IARPA Disguised Faces in the Wild Competition (CVPR 2018), First Prize in ACM Multimedia Grand Challenge 2011, ACM Multimedia 2013/2014 Grand Challenge Multimodal Award, etc. Prof. Hsu is keen to realizing advanced researches towards business deliverables via academia-industry collaborations and co-founding startups. He was a Visiting Scientist at Microsoft Research Redmond (2014) and had his 1-year sabbatical leave (2016-2017) at IBM TJ Watson Research Center. He served as the Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Multimedia, two premier journals, and was on the Editorial Board for IEEE Multimedia Magazine (2010 – 2017).

Prof. Seung-won Hwang is a Professor of Computer Science at Yonsei University. Prior to joining Yonsei, she had been an Associate Professor at POSTECH for 10 years, after her PhD from UIUC. Her recent research interests has been machine intelligence from data, language, and knowledge, leading to 100+ publication at top-tier AI, DB/DM, and NLP venues, including ACL, AAAI, EMNLP, IJCAI, KDD, SIGIR, SIGMOD, and VLDB. She has received best paper runner-up and outstanding collaboration award from WSDM and Microsoft Research respectively. Details can be found at http://dilab.yonsei.ac.kr/~swhwang.

Hong-Goo Kang received the B.S., M.S., and Ph.D. degrees from Yonsei University, Korea in 1989, 1991, and 1995, respectively. From 1996 to 2002, he was a senior technical staff member at AT&T Labs-Research, Florham Park, New Jersey. He was an associate editor of the IEEE Transactions on Audio, Speech, and Language processing from 2005 to 2008, and served numerous conferences and program committees. In 2008~2009 and 2015~2016, respectively, he worked for Broadcom (Irvine, CA) and Google (Mountain View, CA) as a visiting scholar, where he participated in various projects on speech signal processing. His research interests include speech/audio signal processing, machine learning, and human computer interface.

Gunhee Kim is an associate professor in the Department of Computer Science and Engineering of Seoul National University from 2015. He was a postdoctoral researcher at Disney Research for one and a half years. He received his PhD in 2013 under supervision of Eric P. Xing from Computer Science Department of Carnegie Mellon University. Prior to starting PhD study in 2009, he earned a master’s degree under supervision of Martial Hebert in Robotics Institute, CMU. His research interests are solving computer vision and web mining problems that emerge from big image data shared online, by developing scalable and effective machine learning and optimization techniques. He is a recipient of 2014 ACM SIGKDD doctoral dissertation award, and 2015 Naver New faculty award.

Jong Kim is a professor in the Department of Computer Science and Engineering at Pohang University of Science and Technology (POSTECH). He received his Ph.D. degree from Penn. State University in 1991. From 1991 to 1992, he worked at University of Michigan as a Research Fellow. His research interests include dependable computing, hardware security, mobile security, and machine learning security. He has published papers on top security and security conferences including S&P, NDSS, CCS, WWW, Micro, and RTSS.

Min H. Kim is a KAIST-Endowed Chair Professor of Computer Science at KAIST, Korea, leading the Visual Computing Laboratory (VCLAB). Before coming to KAIST, he had been a postdoctoral researcher at Yale University, working on hyperspectral 3D imaging. He received his Ph.D. in computer science from University College London (UCL) in 2010, with a focus on HDR color reproduction for high-fidelity computer graphics. In addition to serving on international program committees, e.g., ACM SIGGRAPH Asia, Eurographics (EG), Pacific Graphics (PG), CVPR, and ICCV, he has worked as an associate editor of ACM Transactions on Graphics (TOG), ACM Transactions on Applied Perception (TAP), and Elsevier Computers and Graphics (CAG). His recent research interests include a wide variety of computational imaging in the field of computational photography, hyperspectral imaging, BRDF acquisition, and 3D imaging.

Heejo Lee is a Professor in the Department of Computer Science and Engineering, Korea University (KU), Seoul, Korea and the director of CSSA (Center for Software Security and Assurance). Before joining KU, he was at AhnLab, Inc., the leading security company in Korea, as a CTO from 2001 to 2003. He received his BS, MS, PhD from POSTECH, and worked for Purdue and CMU. He is a recipient of the ISC^2 ISLA award and got the most prestigious recognition of Asia-Pacific community service star in 2016.

Seong-Whan Lee is a full professor at Korea University, where he is the head of the Department of Artificial Intelligence and the Department of Brain and Cognitive Engineering.

A Fellow of the IAPR(1998), IEEE(2009), and Korean Academy of Science and Technology(2009), he has served several professional societies as chairman or governing board member. He was the founding Co-Editor-in-Chief of the International Journal of Document Analysis and Recognition and has been an Associate Editor of several international journals: Pattern Recognition, ACM Trans. on Applied Perception, IEEE Trans. on Affective Computing, Image and Vision Computing, International Journal of Pattern Recognition and Artificial Intelligence, and International Journal of Image and Graphics.

Seung Ah Lee is an assistant professor at the Department of Electrical and Electronic Engineering at Yonsei University. Seung Ah joined Yonsei University in Fall 2018, currently leading the Optical Imaging Systems Laboratory. Prior to Yonsei, she was at Verily Life Sciences, a former Google [x] team, between 2015-2018 as a scientist. She received her PhD in Electrical Engineering at Caltech (2014) and a postdoctoral training at Stanford Bioengineering (2014-2015). She completed her BS (2007) and MS (2009) degree in Electrical Engineering at Seoul National University.

Seungyong Lee is a professor of computer science and engineering at Pohang University of Science and Technology (POSTECH), Korea. He received a PhD degree in computer science from Korea Advanced Institute of Science and Technology (KAIST) in 1995. From 1995 to 1996, he worked at City College of New York as a postdoctoral researcher. Since 1996, he has been a faculty member of POSTECH, where he leads Computer Graphics Group. During his sabbatical years, he worked at MPI Informatik (2003-2004) and Creative Technologies Lab at Adobe Systems (2010-2011). His technologies on image deblurring and photo upright adjustment have been transferred to Adobe Creative Cloud and Adobe Photoshop Lightroom. His current research interests include image and video processing, deep learning based computational photography, and 3D scene reconstruction.

Jingwen Leng is an Assistant Professor in the John Hopcroft Computer Science Center and Computer Science & Engineering Department at Shanghai Jiao Tong University. His research focuses on building efficient and resilient architectures for deep learning. He received his Ph.D. from the University of Texas at Austin, where he worked on improving the efficiency and resiliency of general-purpose GPUs.

Cheng Li is a research professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). His research interests lie in various topics related to improving performance, consistency, fault tolerance, and availability of distributed systems. Prior to joining USTC, he was an associated researcher at INESC-ID, Portugal, and a senior member of technical staff at Oracle Labs Swiss. He received his PhD degree from Max Planck Institute for Software Sytems (MPI-SWS) in 2016, and his bachelor degree from Nankai University in 2009. His work has been published in the premier peer-reviewed system research venues such as OSDI, USENIX ATC, EuroSys, TPDS and etc. He is a member of ACM Future Computing Academy. He was a co-chair on the Program Committee of the ACM SOSP 2017 Poster Session and ACM TURC 2018 SIGOPS/ChinaSys workshop.

Shou-de Lin is currently a full professor in the CSIE department of National Taiwan University. He holds a BS degree in EE department from National Taiwan University, an MS-EE degree from the University of Michigan, an MS degree in Computational Linguistics and PhD in Computer Science both from the University of Southern California. He leads the Machine Discovery and Social Network Mining Lab in NTU. Before joining NTU, he was a post-doctoral research fellow at the Los Alamos National Lab. Prof. Lin’s research includes the areas of machine learning and data mining, social network analysis, and natural language processing. His international recognition includes the best paper award in IEEE Web Intelligent conference 2003, Google Research Award in 2007, Microsoft research award in 2008, 2015, 2016 merit paper award in TAAI 2010, 2014, 2016, best paper award in ASONAM 2011, US Aerospace AFOSR/AOARD research award winner for 5 years. He is the all-time winners in ACM KDD Cup, leading or co-leading the NTU team to win 5 championships. He also leads a team to win WSDM Cup 2016. He has served as the senior PC for SIGKDD and area chair for ACL. He also served as the co-founder and chief scientist of a start-up The OmniEyes.

Jiaying Liu is currently an Associate Professor with the Institute of Computer Science and Technology, Peking University. She received the Ph.D. degree (Hons.) in computer science from Peking University, Beijing China, 2010. She has authored over 100 technical articles in refereed journals and proceedings, and holds 42 granted patents. Her current research interests include multimedia signal processing, compression, and computer vision.

Dr. Liu is a Senior Member of IEEE, CSIG and CCF. She was a Visiting Scholar with the University of Southern California, Los Angeles, from 2007 to 2008. She was a Visiting Researcher with the Microsoft Research Asia in 2015 supported by the Star Track Young Faculties Award. She has served as a member of Multimedia Systems & Applications Technical Committee (MSA TC), Visual Signal Processing and Communications Technical Committee (VSPC TC) and Education and Outreach Technical Committee (EO TC) in IEEE Circuits and Systems Society, a member of the Image, Video, and Multimedia (IVM) Technical Committee in APSIPA. She has also served as the Technical Program Chair of IEEE VCIP-2019/ACM ICMR-2021, the Publicity Chair of IEEE ICIP-2019/VCIP-2018/MIPR 2020, the Grand Challenge Chair of IEEE ICME-2019, and the Area Chair of ICCV-2019. She was the APSIPA Distinguished Lecturer (2016-2017).

Shixia Liu is a tenured associate professor at Tsinghua University. Her research interests include explainble machine learning, interative data quality improvement, and visual text analytics. Shixia is an associate Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Big Data, and ACM Transactions on Interactive Intelligent Systems . She was the Papers Co-Chairs of IEEE VAST 2016/2017 and the program co-chair of PacifcVis 2014.

Youyou Lu is an assistant professor in the Department of Computer Science and Technology at Tsinghua University. He obtained his B.S. degree from Nanjing University in 2009 and his Ph.D degree from Tsinghua University in 2015, both in Computer Science, and was a postdoctoral fellow at Tsinghua from 2015 to 2017. His current research interests include file and storage systems spanning from architectural to system levels. His research works have been published at a number of top-tier conferences including FAST, USENIX ATC, SC, EuroSys etc. His research won the Best Paper Award at NVMSA 2014 and was selected into the Best Papers at MSST 2015. He was elected in the Young Elite Scientists Sponsorship Program by CAST (China Association for Science and Technology) in 2015, and received the CCF Outstanding Doctoral Dissertation Award in 2016.

She received the Dr. Sci. degrees in mathematics from Osaka University, Osaka, Japan in 1997. She joined Panasonic Co., LTD from 1990 to 1998.She was an associate professor at the Japan Advanced Institute of Science and Technology (JAIST) in 1998. She joined the UC Davis from 2002 to 2003. She has been a professor at JAIST, a professor at Osaka University, and an Auditor of Information-technology Promotion Agency Japan since 2007, 2015 and 2016 respectively. She has been an editor of ISO/IEC since 2000.

She received Young Paper Award of SCIS’93 in 1993, Notable Invention Award of the Science and Technology Agency in 1997, the IPSJ Sakai Special Researcher Award in 2002, the Standardization Contribution Award in 2003, Engineering Sciences Society: Certificate of Appreciation in 2005, the AWARD for the contribution to CULTURE of SECURITY in 2007, IPSJ/ITSCJ Project Editor Award in 2007, 2008, 2009, 2010, 2012, 2016, and the Director-General of Industrial Science and Technology Policy and Environment Bureau Award in 2007, DoCoMo Mobile Science Awards in 2008, ADMA 2010 Best Paper Award, Prizes for Science and Technology, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, ATIS 2016 Best Paper Award, IEEE Trustocm 2017 Best Paper Award, and IEICE milestone certification in 2017.

Tadashi Nomoto is currently an associate professor at Graduate University for Advanced Studies (SOKENDAI) with a joint appointment to National Institute of Japanese Literature. He has been actively engaged in the area of natural language processing and information retrieval for more than a decade, both in academia and in industry. His research interests include computational linguistics, digital library, data mining, machine translation, and quantitative media analysis. He has published extensively in major international conferences (the likes of SIGIR, ACL, ICML, CIKM). He holds an MA in Linguistics from Sophia University, Japan, and a PhD in Computer Science from Nara Institute of Science and Technology located also in Japan.

Dr Sinno Jialin Pan is a Provost’s Chair Associate Professor with the School of Computer Science and Engineering, and Deputy Director of the Data Science and AI Research Centre at Nanyang Technological University (NTU), Singapore. He received his Ph.D. degree in computer science from the Hong Kong University of Science and Technology (HKUST) in 2011. Prior to joining NTU, he was a scientist and Lab Head of text analytics with the Data Analytics Department, Institute for Infocomm Research, Singapore from Nov. 2010 to Nov. 2014. He joined NTU as a Nanyang Assistant Professor (university named assistant professor) in Nov. 2014. He was named to “AI 10 to Watch” by the IEEE Intelligent Systems magazine in 2018. His research interests include transfer learning, and its applications to wireless-sensor-based data mining, text mining, sentiment analysis, and software engineering.

Dr. Tim Pan is the senior director of Outreach of Microsoft Research Asia, responsible for the lab’s academic collaboration in the Asia-Pacific region. He establishes strategies and directions, identifies business opportunities, and designs various programs and projects that strengthen partnership between Microsoft Research and academia.

Xueming Qian PhD/Professor, received the B.S. and M.S. degrees in Xi’an University of Technology, Xi’an, China, in 1999 and 2004, respectively, and the Ph.D. degree in the School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China, in 2008. He was awarded Microsoft fellowship in 2006, outstanding doctoral dissertation of Xi’an Jiaotong University and Shaanxi Province in 2010 and 2011 respectively. He is the director of SMILES LAB. He was a visit scholar at Microsoft research Asia from August 2010 to March 2011. His research interests include social mobile multimedia mining learning and search.

Huamin Qu is a full professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). His main research interests are in data visualization and human-computer interaction, with focuses on explainable AI, urban informatics, social media analysis, E-learning, and text visualization. He has served as paper co-chairs for IEEE VIS’14, VIS’15, and VIS’18 and an associate editor of IEEE Transactions on Visualization and Computer Graphics (TVCG). He received a BS in Mathematics from Xi’an Jiaotong University and a PhD in Computer Science from Stony Brook University.

Jun Rekimoto received his B.A.Sc., M.Sc., and Ph.D. in Information Science from Tokyo Institute of Technology in 1984, 1986, and 1996, respectively. From 1986 to 1994, he worked for the Software Laboratory of NEC. During 1992-1993, he worked in the Computer Graphics Laboratory at the University of Alberta, Canada, as a visiting scientist. Since 1994 he has worked for Sony Computer Science Laboratories (Sony CSL). In 1999 he formed, and has since directed, the Interaction Laboratory within Sony CSL.

Rekimoto’s research interests include computer augmented environments, mobile/wearable computing, virtual reality, and information visualization. He has authored dozens of refereed publications in the area of human-computer interactions, including ACM, CHI, and UIST. One of his publications was recognized with the 30th commemorative papers award from the Information Processing Society Japan (IPSJ) in 1992. He also received the Multi-Media Grand Prix Technology Award from the Multi-Media Contents Association Japan in 1998, the Yamashita Memorial Research Award from IPSJ in 1999, and the Japan Inter-Design Award in 2003. In 2007, He elected to ACM SIGCHI Academy.

Insik Shin is a professor in the School of Computing and a Chief Professor of Graduate School of Information Security at KAIST, Korea. He received a Ph.D. degree from the University of Pennsylvania. His research interests include real-time embedded systems, systems security, mobile computing, and cyber-physical systems. He serves on program committees of top international conferences, including RTSS, RTAS and ECRTS. He is a recipient of several best (student) paper awards, including MobiCom ’19, RTSS ’12, RTAS ’12, and RTSS ’03, KAIST Excellence Award, and Naver Young Faculty Award.

Jun Takamatsu received a Ph.D. degree in Computer Science from the University of Tokyo, Japan, in 2004. From 2004 to 2008, he was with the Institute of Industrial Science, the University of Tokyo. In 2007, he was with Microsoft Research Asia, as a visiting researcher. From 2008 to now, he joined Nara Institute of Science and Technology, Japan, as an associate professor. He was also with Carnegie Mellon University as a visitor in 2012 and 2013 and with Microsoft as a visiting scientist in 2018. His research interests are in robotics including learning-from-observation, task/motion planning, and feasible motion analysis, 3D shape modeling and analysis, and physics-based vision.

Dr. Mingkui Tan is currently a professor with the School of Software Engineering at South China University of Technology, China. He received his Bachelor Degree in Environmental Science and Engineering in 2006 and Master degree in Control Science and Engineering in 2009, both from Hunan University in Changsha, China. He received the PhD degree in Computer Science from Nanyang Technological University, Singapore, in 2014. From 2014-2016, he worked as a Senior Research Associate on machine learning and computer vision in the School of Computer Science, University of Adelaide, Australia. His research interests include machine learning, sparse analysis, deep learning and large-scale optimization. He has published about 70 research papers in top-tier conferences such as NeurIPS, ICML and KDD and international peer-reviewed journals such as TNNLS, JMLR and TIP.

I am now a principal researcher in Internet Graphics Group of Microsoft Research Asia . I obtained my Ph.D. degree in Computer Graphics from Tsinghua University in 1999. My Ph.D. thesis is about hardware assisted volume rendering. I got my B.S. Degree and Master Degree in Computer Science from Zhejiang University in 1993 and 1996 respectively.

My research interests include appearance modeling and rendering, texture synthesis, and image based modeling and rendering. Specifically, my research concentrates on studying the underline principles of material light interaction and light transport, and developing efficient methods for appearance modeling and rendering. I am also interested in performance capturing and facial animation.

Hongzhi Wang, Professor, PHD supervisor, Vice Dean of Honors School of Harbin Institute of Technology, the secretary general of ACM SIGMOD China, CCF outstanding member, a member of CCF databases and big data committee. Research Fields include big data management and analysis, database and data quality. He was “starring track” visiting professor at MSRA. He has been PI for more than 10 projects including NSFC key project, NSFC projects. He also serve as a member of ACM Data Science Task Force. His publications include over 200 papers including VLDB, SIGMOD, SIGIR papers, and 4 books. His papers were cited more than 1000 times. His personal website is http://homepage.hit.edu.cn/wang.

Professor in School of Electronics Engineering and Computer Science, Peking University, researcher in Beijing Institute of Big Data Research, adjunct professor in Institute for Interdisciplinary Information Science, Tsinghua University. He was recognized by IEEE Intelligent Systems as one of AI’s 10 to Watch in 2010, the first Asian scholar since the establishment of the award. He received the NSFC excellent young researcher grant in 2012. He was also supported by program for New Century Excellent Talents in University by the Ministry of Education.

Hiroki Watanabe is an assistant professor at Graduate School of Information Science and Technology, Hokkaido University, Japan. He received B. Eng. and M. Eng. and Ph.D. degrees from Kobe University in 2012, 2014, and 2017, respectively. He is working on wearable computing and ubiquitous computing.

Dr. Yonggang Wen is the Professor Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU), Singapore. He also serves as the Associate Dean (Research) at the College of Engineering, and the Director of Nanyang Technopreneurship Centre at NTU. He received his PhD degree in Electrical Engineering and Computer Science (minor in Western Literature) from Massachusetts Institute of Technology (MIT), Cambridge, USA, in 2007.

Dr. Wen has worked extensively in learning-based system prototyping and performance optimization for large-scale networked computer systems. In particular, his work in Multi-Screen Cloud Social TV has been featured by global media (more than 1600 news articles from over 29 countries) and received 2013 ASEAN ICT Awards (Gold Medal). His work on Cloud3DView, as the only academia entry, has won 2016 ASEAN ICT Awards (Gold Medal) and 2015 Datacentre Dynamics Awards – APAC (‘Oscar’ award of data centre industry). He is a co-recipient of 2015 IEEE Multimedia Best Paper Award, and a co-recipient of Best Paper Awards at 2016 IEEE Globecom, 2016 IEEE Infocom MuSIC Workshop, 2015 EAI/ICST Chinacom, 2014 IEEE WCSP, 2013 IEEE Globecom and 2012 IEEE EUC. He was the sole winner of 2016 Nanyang Awards in Entrepreneurship and Innovation at NTU, and received 2016 IEEE ComSoc MMTC Distinguished Leadership Award. He serves on editorial boards for ACM Transactions Multimedia Computing, Communications and Applications, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Wireless Communication Magazine, IEEE Communications Survey & Tutorials, IEEE Transactions on Multimedia, IEEE Transactions on Signal and Information Processing over Networks, IEEE Access Journal and Elsevier Ad Hoc Networks, and was elected as the Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research interests include cloud computing, blockchain, green data centre, distributed machine learning, big data analytics, multimedia network and mobile computing.

Wenfei Wu is an assistant professor in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. Wenfei Wu obtained his Ph.D. from the CS department at the University of Wisconsin-Madison in 2015. Dr. Wu’s research interests are in networked systems, including architecture design, data plane optimization, and network management optimization. He was awarded the best student paper in SoCC’13. Currently, Dr. Wu is working on model-centric DevOps for network functions, in-network computation for distributed systems (including distributed neural networks and big data systems), and secure network protocol design.

Yingcai Wu is a National Youth-1000 scholar and a ZJU100 Young Professor at the State Key Lab of CAD & CG, College of Computer Science and Technology, Zhejiang University. He obtained his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology (HKUST). Prior to his current position, Yingcai Wu was a researcher in the Microsoft Research Asia, Beijing, China from 2012 to 2015, and a postdoctoral researcher at the University of California, Davis from 2010 to 2012. He was a paper co-chair of IEEE Pacific Visualization 2017 and ChinaVis 2016-2017. His main research interests are in visual analytics and human-computer interaction, with focuses on sports analytics, urban computing, and social media analysis. He has published more than 50 refereed papers, including 25 IEEE Transactions on Visualization and Computer Graphics (TVCG) papers. His three papers have been awarded Honorable Mention at IEEE VIS (SciVis) 2009, IEEE VIS (VAST) 2014, and IEEE PacificVis 2016. For more information, visit www.ycwu.org

Hiroaki Yamane is a post-doctoral researcher at RIKEN AIP and a visiting researcher at the University of Tokyo. He completed his PhD at Keio University where he proposed slogan generating systems. After PhD acquisition, he was dedicated to brain decoding and currently is working on building machine intelligence for medical engineering at RIKEN AIP. Because he has a strong interest in human intelligence, sensitivity, and health, his research interests include: word embedding on commonsense, sentiment analysis, sentence generation, and domain adaptation. He is more broadly interested in multidisciplinary areas natural language processing, computer vision, cognitive & neuroscience, and AI applications to medical.

Dr. Rui Yan is an assistant professor at Peking University, an adjunct professor at Central China Normal University and Central University of Finance and Economics, and he was a Senior Researcher at Baidu Inc. He has investigated several open-domain conversational systems and dialogue systems in vertical domains. Till now he has published more than 100 highly competitive peer-reviewed papers. He serves as a (senior) program committee member of several top-tier venues (such as KDD, SIGIR, ACL, WWW, IJCAI, AAAI, CIKM, and EMNLP, etc.).

Chuck Yoo received B.S. degree from Seoul National University in 1982, and M.S. and Ph.D degrees from University of Michigan, Ann Arbor, Michigan in 1986 and 1990 respectively. From 1990 to 1995, he was with Sun Microsystems, Mountain View, California, working on Sun’s operating systems. In 1995, he joined the computer science department of Korea University and served the dean of the College of Informatics for 5 years until Jan. of 2018.

He has been working on virtualization, starting with hypervisor for mobile phones, virtualized automotive platform, integrated SLA (service level agreement) for clouds and network virtualization including virtual routers and SDN. He hosted Xen Summit in Seoul in 2011 and served program committees of various conferences. In addition to publishing quite a number of papers, his research has influenced global industry leaders such as Samsung and LG to inspire and enhance their products.

Recently, he is working with the College of Medicine for precision medicine and also with the College of Law to bring up new and revised legislative bills for the fourth industrial revolution.

Sung-Eui Yoon is a professor at Korea Advanced Institute of Science and Technology (KAIST). He received the B.S. and M.S. degrees in computer science from Seoul National University in 1999 and 2001, respectively. He received his Ph.D. degree in computer science from the University of North Carolina at Chapel Hill in 2005. He was a postdoctoral scholar at Lawrence Livermore National Laboratory, USA. His research interests include graphics, vision, and robotics. He has published about 100 technical papers, and gave numerous tutorials on ray tracing, collision detection, and image search in premier conferences like ACM SIGGRAPH, IEEE Visualization, CVPR, ICRA, etc. He served as conf. co-chair and paper co-chair for ACM I3D 2012 and 2013 respectively. At 2008, he published a monograph on real-time massive model rendering with other three co-authors. Recently, we also published an online book on Rendering at 2018. Some of his papers received a test-of-time award, a distinguished paper award, and a few invitations to IEEE Trans. on Visualization and Graphics. He is currently senior members of IEEE and ACM.

Masatoshi Yoshikawa received the B.E., M.E. and Ph.D. degrees from Department of Information Science, Kyoto University in 1980, 1982 and 1985, respectively. In 1985, he joined The Institute for Computer Sciences, Kyoto Sangyo University as an Assistant Professor. From April 1989 to March 1990, he has been a Visiting Scientist at the Computer Science Department of University of Southern California (USC). In 1993, he joined Nara Institute of Science and Technology as an Associate Professor of Graduate School of Information Science. From April 1996 to January 1997, he has stayed at Department of Computer Science, University of Waterloo as a Visiting Associate Professor. From June 2002 to March 2006, he served as a professor at Nagoya University. From April 2006, he has been a professor of Graduate School of Informatics, Kyoto University.

One of his current research topics is theory and practice of privacy protection. As a basic research, he investigated the potential privacy loss of a traditional Differential Privacy (DP) mechanism under temporal correlations. He is also interested in personal data market. Particularly, he is studying a mechanism for pricing and selling personal data perturbed by DP.

He was a General Co-Chair of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019). He is a Steering Committee member of the International Conference on Big Data and Smart Computing (BigComp), He is serving as a PC member of VLDB2020 and ICDE2030. He is member of the IEEE ICDE Steering Committee, Science Council of Japan (SCJ), ACM, IPSJ and IEICE.

Huanjing Yue received the B.S. and Ph.D. degrees from Tianjin University, Tianjin, China, in 2010 and 2015, respectively. She was an Intern with Microsoft Research Asia from 2011 to 2012, and from 2013 to 2015. She visited the Video Processing Laboratory, University of California at San Diego, from 2016 to 2017. She is currently an Associate Professor with the School of Electrical and Information Engineering, Tianjin University. Her current research interests include image processing and computer vision. She received the Microsoft Research Asia Fellowship Honor in 2013 and was selected into the Elite Scholar Program of Tianjin University in 2017.

Lijun Zhang received the B.S. and Ph.D. degrees in Software Engineering and Computer Science from Zhejiang University, China, in 2007 and 2012, respectively. He is currently an associate professor of the Department of Computer Science and Technology, Nanjing University, China. Prior to joining Nanjing University, he was a postdoctoral researcher at the Department of Computer Science and Engineering, Michigan State University, USA. His research interests include machine learning and optimization. He has published 80 academic papers, most of which are on prestigious conferences and journals, such as ICML, NeurIPS, COLT and JMLR. He received the DAMO Academy Young Fellow of Alibaba, and AAAI-12 Outstanding Paper Award.

Dr. Min Zhang is a tenured associate professor in the Dept. of Computer Science & Technology, Tsinghua University, specializes in Web search and recommendation, and user modeling. She is the vice director of State Key Lab. of Intelligent Technology & Systems, the executive director of Tsinghua-MSRA Lab on Media and Search. She also serves as the ACM SIGIR Executive Committee member, associate editor for the ACM Transaction of Information Systems (TOIS), Short Paper co-Chair of SIGIR 2018, Program co-Chair of WSDM 2017, etc. She has published more than 100 papers on top level conferences with 4100+ citations. She was awarded Beijing Science and Technology Award (First Prize), etc. She also owns 12 patents. And she has made a lot of cooperation with international and domestic enterprises, such as Microsoft, Toshiba, Samsung, Sogou, WeChat, Zhihu, JD, etc

Tianzhu Zhang is currently a Professor at the Department of Automation, School of Information Science and Technology, University of Science and Technology of China. His current research interests include pattern recognition, computer vision, multimedia computing, and machine learning. He has authored or co-authored over 80 journal and conference papers in these areas, including over 60 IEEE/ACM Transactions papers (TPAMI/IJCV/TIP) and top-tier conference papers (ICCV/CVPR/ACM MM). According to the Google Scholar, his papers have been cited more than 4900 times. His work has been recognized by 2017 China Multimedia Conference Best Paper Award and 2016 ACM Multimedia Conference Best Paper Award (CCF-A). He has got Chinese Academy of Sciences President Award of Excellence in 2011, Excellent Doctoral Dissertation of Chinese Academy of Sciences in 2012, Youth Innovation Promotion Association CAS in 2018, and the Natural Science Award (first Prize) of Chinese Institute of Electronics in 2018. He served/serves as the Area Chair for CVPR 2020, ICCV 2019, ACM MM 2019, WACV 2018, ICPR 2018, and MVA 2017, the Associate Editor for IEEE T-CSVT and Neurocomputing. He received the outstanding reviewer award in MMSJ, ECCV 2016 and CVPR 2018.

Yu Zhang is an associate professor in School of Computer Science & Technology, University of Science and Technology of China (USTC). She got her Ph.D. at USTC in Jan. 2005. Her current research interests include programming languages and systems for emerging AI applications, quantum software.

Zhou Zhao received his Ph.D. from the Hong Kong University of Science and Technology in 2015. He subsequently worked at Zhejiang University as an associate professor and doctoral supervisor. Zhao’s main research interests are in natural language processing and multimedia key technology research and development. Zhao is a fellow of the Association for Computing Machinery(ACM),a fellow of the Institute of Electrical and Electronics Engineers(IEEE),and a fellow of the China Computer Federation(CCF).In addition, he release more than sixty papers on the top international conference, such as NIPS, CLR, ICML. Zhao was rewarded the Innovation Award of the Information Department of Zhejiang University the title of the Outstanding Youth in Zhejiang.

Dr. Wei-Shi Zheng is now a Professor with Sun Yat-sen University. Dr. Zheng received the PhD degree in Applied Mathematics from Sun Yat-sen University in 2008. He is now a full Professor at Sun Yat-sen University. He has now published more than 100 papers, including more than 80 publications in main journals (TPAMI, TNN/TNNLS, TIP, TSMC-B, PR) and top conferences (ICCV, CVPR, IJCAI, AAAI). He has joined the organisation of four tutorial presentations in ACCV 2012, ICPR 2012, ICCV 2013 and CVPR 2015. His research interests include person/object association and activity understanding in visual surveillance, and the related large-scale machine learning algorithm. Especially, Dr. Zheng has active research on person re-identification in the last five years. He serves a lot for many journals and conference, and he was announced to perform outstanding review in recent top conferences (ECCV 2016 & CVPR 2017). He has ever joined Microsoft Research Asia Young Faculty Visiting Programme. He has ever served as a senior PC/area chair/associate editor of AVSS 2012, ICPR 2018, IJCAI 2019/2020, AAAI 2020 and BMVC 2018/2019. He is an IEEE MSA TC member. He is an associate editor of Pattern Recognition. He is a recipient of Excellent Young Scientists Fund of the National Natural Science Foundation of China, and a recipient of Royal Society-Newton Advanced Fellowship of United Kingdom.