Past Meetup

Orbeus and Computer Vision Tech Day

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Welcome to “AI Tech Day @ Palo Alto”, and this is a meet-up group initiated by “Amino Capital ( Fellowship Program”, for Stanford students, Silicon Valley engineers and entrepreneurs, to learn more about the technological advancements and application of artificial intelligence. This month we proudly present "Orbeus and Computer Vision Tech Day".

Dr. Huican Zhu from Amino Capital ( and CEO of our portfolio company Yi Li from Orbeus ( (Acquired by Amazon) will give welcome remarks and share their thoughts on the future of computer vision and AI.

Mu Li ( , Principal Architect at Baidu, and deep learning expert at CMU, will give a talk on "MXNet: Flexible Deep Learning Framework from Distributed GPU Clusters to Embedded Systems"

Orbeus scientists, Meng Wang, Wei Xia, Yushan Chen, and Weixin Wu, will dive into "Large-scale facial and object recognition, from research to industry"

Professor X ( (Jianxiong Xiao) from CS@Princeton and Founder of AutoX is joining us as well, and his presentation abstract will be disclosed soon.


1:30pm - 2pm: Networking

2pm - 3:30pm: Presentations

3:30pm - 4pm: Wind down

• [Welcome Remark]

Huican Zhu, PhD (Amino Capital (, early Googler starting in 2000)

Bio: Dr. Huican Zhu is Founding Partner at Amino Capital. He got his B.E degree at Sun Yat-sen University, M.S degree at National Academy of Science and PhD degree at University of California, Santa Barbara. He is the pioneer at Google image search, and the first Senior Chinese Engineer and Senior Manager at Google and has received highly praise for his excellent computer vision research capability. Huican went to Google at 2000 and took responsibility of many kinds of significant Google researches. At Google, Huican left and spent two years at Tencent during[masked] to be the Chief Architect and General Manager of Infrastructure. Huican has a strong academic reputation, and his research results have over 12,000 citations. Dr. Zhu is currently a board member of MaxFun, Weee, Virtulus, Yiqixie, and Evertoon.

• [Welcome Remark]

Yi Li (Orbeus / Amazon)

Bio: Yi is passionate about leveraging technology to build creative products that people enjoy using. Yi served as CEO of Orbeus, and was featured by Huffington Post for "Women in Business". Founded in 2012, Orbeus has developed what could be the best API and application yet for letting everyday consumers benefit from advances in deep learning. Yi spearheaded the successful engagement of customers for their ReKognition API and managed the creation of a novel image recognition application called PhotoTime. Company got acquired by Amazon in 2015.

• [Presentation] MXNet: Flexible Deep Learning Framework from Distributed GPU Clusters to Embedded Systems

Mu Li ( (CMU, Baidu)

Abstract:This talk will describe how to develop and deploy deep learning applications efficiently and easily using MXNet. MXNet is a new deep learning framework developed by collaborators from over 10 institutes. It is designed for both flexibility and optimized performance, with easy to use interfaces in currently 7 programming languages including Python, Scala and R. We will discuss the technologies to scale out the framework to distributed clouds ranging from EC2, Azure, GCE to Spark clusters, and also memory optimizations to fit into embedded systems like mobile phones. Finally, we'll demonstrate deep learning applications in computer vision, natural language processing, and speech recognition.

Bio: Mu Li is currently a final year Ph.D. student at Carnegie Mellon University. His research interests lie in algorithms and systems for distributed machine learning and deep learning. In particular, he designs algorithms and systems scaling to petabyte datasets and running over thousands of machines. He has co-authored tens of top journal and conference papers ranging from learning theory to machine learning, from data mining to systems. He has served as principal architect at Baidu and co-founded several machine learning startups.

• [Panel] Large-scale facial and object recognition, from research to industry

Panelist: Meng Wang, Wei Xia, Weixin Wu (Orbeus / Amazon)

Moderator: Yushan Chen (Orbeus / Amazon)


Meng Wang, Lead Scientist at Amazon

Meng co-founded Orbeus with the vision to use face and image recognition technology to quickly find photos and key sections of videos. Meng has 10+ years of experience in computer vision and image processing, including roles at Google Research, Google Search and YouTube. At Orbeus, Meng developed a high-speed, large-scale Convolutional Neural Networks (CNN) training process by building a multi-GPU system. He also developed the a high-throughput online face and concept recognition parallel computing framework that is at the core of Orbeus’ products and services. Meng studied in Boston University and conducted research at MIT and MERL, and is credited with more than 20 patents in this area.

Wei Xia, Sr Research Scientist, Amazon

Wei is now a Sr. research scientist at Amazon. His research interests focus in large-scale visual recognition and deep learning. Previously he is the Chief Scientist at Orbeus, leading the efforts of developing recognition algorithms, to support both the APIs and consumer-end products, like PhotoTime. Wei obtained his Phd in computer vision from National University of Singapore and conducted research at Panasonic and Lund University, etc.. He has published 10+ papers and served as reviewer in top-tiered conferences and journals, like PAMI/ICCV/CVPR, etc.. He has won the winner awards of PASCAL VOC classification and segmentation competitions in 2012, runner-up award in ILSVRC challenge 2013, and winner award of ISVLRC detection challenge in 2014.

Yushan Chen, Sr Product Manager, Amazon

Yushan is passionate about product design and development and is a trained roboticist with the dream to improve people's daily life with smart devices, cloud computing and artificial intelligence. She now focuses on Product Management in Alexa Cloud Platform (also known as Echo, the personal assistant). She was one of the founding members and product lead in Orbeus. She launched various consumer products such as PhotoTime - a smart personal photo search / management app, Magic Mirror - beauty score detector, etc. Prior to Orbeus, Yushan obtained her Ph.D in Robotics at Boston University. She is credited with inventing theoretical frameworks for automatic synthesis of distributed control schemes for robotic agents. She has published 10+ papers and serves as reviewers for top control and robotic conferences and journals. She also received the “best paper” award for her work in Robotics at DARS 2010.

Weixin Wu , Sr.Engineer/Tech Lead/Manager

Prior to joining Orbeus, Weixin is with Amazon’s Lab126, where he lead and developed the GPU Computer Vision Engine for both Android and iOS. He was also responsible for the Android and iOS demo prototyping, GPU architecture and driver performance. Prior to Amazon, Weixin worked at Qualcomm, where he architected and developed the world's 1st commercial mobile GPGPU OpenCL profiler and Kernel Analyzer, which is now used by Qualcomm, Samsung, Amazon, SONY and the general community of Android developers. He also served as GPGPU expert in Qualcomm’s Multimedia R&D facility, where he specialized in FastCV GPU acceleration, and achieved 5X+ faster performance against a hand optimized Neon SIMD assembly. Prior to Qualcomm, Weixin worked on AMD’s GPU Performance Application Engineering team, where he served as the judge and designed various problem sets for AMD’s APU and discrete GPU architecture, which are used for the TopCoder 1st OpenCL Competition. Weixin holds a Bachelor’s degree in Electrical Engineering from the Harbin Institute of Technology and a Master’s degree in Electrical Engineering from Clemson University.

• [Presentation]

Jianxiong Xiao (a.k.a. Professor Xi, CS@Princeton, CSAIL@MIT, Founder of AutoX)


Jianxiong Xiao (a.k.a., Professor X) is the Founder and CEO of AutoX, Inc., a high-tech startup currently in stealth mode. Previously, he was an Assistant Professor in the Department of Computer Science at Princeton University and the founding director of the Princeton Computer Vision and Robotics Labs from 2013 to 2016. He received his Ph.D. from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT) in 2013. Before that, he received a BEng. and MPhil. in Computer Science from the Hong Kong University of Science and Technology in 2009. His research focuses on bridging the gap between computer vision and robotics by building extremely robust and dependable computer vision systems for robot perception. In particular, he is a pioneer in the fields of 3D Deep Learning, Autonomous Driving, RGB-D Recognition and Mapping, Big Data, Large-scale Crowdsourcing, and Deep Learning for Robotics. His work has received the Best Student Paper Award at the European Conference on Computer Vision (ECCV) in 2012 and the Google Research Best Papers Award for 2012, and has appeared in the popular press. Jianxiong was awarded the Google U.S./Canada Fellowship in Computer Vision in 2012, the MIT CSW Best Research Award in 2011, and two Google Faculty Awards in 2014 and in 2015 respectively. He co-lead the MIT+Princeton joint team in 2016 to participate at the Amazon Picking Challenge and won the 3rd and 4th place worldwide. More information can be found at: