The 11th ACM International Conference on Web Search and Data Mining

Los Angeles, California, USA, Feb. 5-9, 2018.

VC & Industry Day

In its eleventh year in 2018, WSDM will feature a new VC and Industry day focused on the interaction of the search and data mining communities with the VC and Industry communities. A series of invited talks by prominent speakers will be mixed with panels on the topics ranging from the role of the data science in startups to the sharing economy. The panels will feature top Data Scientists from companies such as Google, Facebook, Amazon, Airbnb , and others. The lunch break will feature a company expo where 20+ companies will present their work, giving the WSDM attendants a chance to see data science and search applications in practice.

Keynote Speakers

Monday 9:00am

Hartmut Neven

Google

Title: Countdown to Quantum Supremacy: An Update from the Google Quantum Artificial Intelligence Lab

Abstract: In this talk I will report about the effort at the Google Quantum AI Lab to engineer a processor that is capable of passing the quantum supremacy frontier. This is defined as the moment when a quantum processor becomes capable of executing a computational task in a short time, say one second, while even the fastest classical supercomputer can not perform this task within a reasonable time frame, say one year. Once the supremacy milestone is achieved we plan to offer access to our quantum processors via Google Cloud for researchers and practitioners to be able to explore their potential computational powers. I will then discuss which useful applications we hope to run on such near-term quantum processors which have passed the quantum supremacy frontier but do not yet possess enough qubits to perform quantum error correction. I will intrioduce three application areas: quantum enhanced optimization, quantum simulation and quantum neural networks. In particular I will report on i) quantum assisted parallel tempering, a quantum enhanced optimization technique, that uses the physics of many body delocalization to escape local minima ii) a recent breakthrough in quantum simulation that suggests that one only needs a circuit of depth O(n) to perform electronic structure calculations involving n spin orbitals and finally iii) first experiments to train quantum neural networks.
Bio: Hartmut Neven is an Engineering Director at Google. He is the founder and manager of the Quantum Artificial Intelligence lab. The objective of the lab is to fabricate quantum processors and develop novel quantum algorithms to dramatically accelerate computational tasks for machine intelligence. Previously, Hartmut was head of the Visual Search team. His team developed the visual search service which today is used by a large number of Google products including Image Search, Google Photos, YouTube, Street View and Google Goggles. His teams won a number of competitions designed to establish the best visual recognition software for faces (FERET 1996, FRVT 2002), objects (ImageNet 2014) and text (ICDAR 2013). Hartmut was also a co-founder of project Glass and led the team that built the first prototype. Prior to joining Google, Hartmut started two computer vision companies, the second one was acquired by Google in 2006. Hartmut obtained his Ph.D. in 1996 with a thesis on "Dynamics for vision-guided autonomous mobile robots". Then he became a research professor for computer science and theoretical neuroscience at the University of Southern California.
Monday 5:45pm

Vinod Khosla

Khosla Ventures

Title: Fireside chat with Vinod Khosla

Abstract: Andrei Broder will be the interlocutor.

Bio: Vinod Khosla is an entrepreneur, investor, and technology fan. He is the founder of Khosla Ventures, focused on impactful clean technology and information technology investments. Mr. Khosla was a co-founder of Daisy systems and founding CEO of Sun Microsystems where he pioneered open systems and commercial RISC processors. One of Mr. Khosla’s greatest passions is being a mentor to entrepreneurs, assisting entrepreneurs and helping them build technology based businesses. Mr. Khosla is driven by the desire to make positive impact through scaling alternative energy, achieving petroleum independence, and promoting a pragmatic approach to the environment. He is also passionate about Social Entrepreneurship. Vinod holds a Bachelor of Technology in Electrical Engineering from IIT, New Delhi, a Master's in Biomedical Engineering from Carnegie Mellon University and an MBA from the Stanford Graduate School of Business.

Slides

Invited Talk Speakers

Monday 11:00am

Min Wang

SVP Research
Visa

Title: AI for the Future of Commerce: Challenges and Opportunities

Abstract: Visa's unique position as the world's largest payment network enables us to serve billions of consumers and tens of millions of merchants on a daily basis. These massive high-quality financial data provide valuable insights on how people conduct commerce around the world, and AI technology has the potential to unlock the hidden value in these data and drive innovations in the payments industry. In this talk, I will give an overview of the research opportunities and challenges for data analytics and machine learning in the context of payments data, and share our point of view on how AI can reshape the Future of Payments by delivering unique capabilities in scenarios such as fraud detection, authentication, and recommendation systems.

Bio: Dr. Min Wang joined Visa as the Senior Vice President and Head of Visa Research in May 2015. In her role, she founded and now leads Visa Research, an organization that conducts applied research on the most challenging problems in Payments and provides technical thought leadership for the future of the industry. Visa Research is focusing on three research areas: Data Analytics, Security, and Future of Commerce.
Prior to Visa, Min was a Senior Staff Research Scientist and Research Manager at Google, Director of HP Labs China where she was named a Distinguished Technologist, and held senior research roles at IBM’s Thomas J. Watson Research Center.
Min has published over 90 research papers in top peer-reviewed conferences and journals and received several distinguished research awards for her work on data management. In 2009, she received the ACM SIGMOD Test of Time Award. She has been serving as a board member of the Computing Research Association (CRA) since 2016.
Min received her Ph.D. in Computer Science from Duke University and B.S. and M.S. degrees with top honors, both in Computer Science, from Tsinghua University, Beijing, China.

Monday 11:30am

Ash Damle

Lumiata

Title: Using Deep Learning to Predict Emerging and Unidentified Clinical States

Abstract: Reducing costs in healthcare and improving care delivery rests on the ability to predict individual disease with precision, accuracy and speed. This demands the ability to combine, interpret, and take action on highly complex structured and unstructured data, with minimal error. But, most organizations lack the skills and manpower to do so, leading to labor-intensive, costly and inaccurate processes. Artificial intelligence can introduce the automation, computation and precision needed to transform healthcare operations–it's no small endeavor and requires sophisticated infrastructures and expertise. Lumiata’s predictive AI models clinical science and medicine, and is able to predict individual disease for 2 million people in under 2 hours, from over 5TB of data, with over 80% positive predictive value. Drawing from Lumiata’s experience and approach, this session discusses how to build and apply a real-world, practical AI to extract clinical value from data in ways that can improve the business of healthcare.

Bio: As the Founder and CEO of Lumiata, Ash Damle drives the company’s mission of lowering the cost of healthcare delivery by predicting individual health risks with artificial intelligence. At Lumiata, Ash has pioneered a first-of-kind medical knowledge graph based on current scientific research and clinical practice. The Lumiata medical knowledge graph combines multi-sourced health data with medical knowledge, analyzes the complex relationships between them, and provides precise, clinically-relevant, interpretable analytics.
Ash is a technologist and data scientist deeply rooted in the application of big data to health and its intersection with design, and has worked with organizations in the United States, China, UK, Canada, Australia, France, Germany, India and Japan. Over the last 15 years, he has researched, built and applied AI technologies with leading institutions and organizations, including the UCLA AI and Robotics Lab, MIT’s AI Lab, the MIT Media Lab, the US Navy and NASA. Ash graduated from Massachusetts Institute of Technology (MIT) in both Computer Science and Mathematics, has published numerous papers, and has received patents in real-time unstructured semantic analysis.
Monday 12:00pm

Hang Li

Toutiao

Title: New Era of Information Dissemination - Toutiao’s Vision and Practice

Abstract: Mobile Internet and artificial intelligence (AI) technologies are bringing us to a new era of information dissemination. Information and knowledge are circulated in an unprecedented scale, speed, and depth, with ubiquitousness, immediacy, diversity, and sociality as the main characteristics. Founded in 2012, Toutiao is a company mainly based in China providing the largest information distribution platform in the world. Its AI-powered mobile apps now deliver personalized content to hundreds of millions of users based on their interests. The vision of the company is to build a world-wide information platform which understands the users the best, connects people and information in the most effectively way, and promotes creation and dissemination of information. The AI Lab of Toutiao is conducting research on machine learning, computing vision, natural language processing, and other AI technologies. The goal is to develop cutting edge technologies that can offer the best experiences to the users. In this talk, I will introduce Toutiao’s vision and practice in enhancement of information dissemination. I will particularly introduce the technically challenging problems which we are tackling.

Bio: Hang Li is director of Toutiao AI Lab, adjunct professors of Peking University and Nanjing University. He is an IEEE Fellow and an ACM Distinguished Scientist. His research areas include information retrieval, natural language processing, machine learning, and data mining. Hang graduated from Kyoto University in 1988 and earned his PhD from the University of Tokyo in 1998. He worked at NEC Research as researcher from 1990 to 2001, Microsoft Research Asia as senior researcher and research manager from 2001 to 2012, and chief scientist and director of Huawei Noah’s Ark from 2012 to 2017. He joined Toutiao in 2017. Hang has published three technical books, and more than 120 technical papers at top international conferences including SIGIR, WWW, WSDM, ACL, EMNLP, ICML, NIPS, SIGKDD, AAAI, IJCAI, and top international journals including CL, NLE, JMLR, TOIS, IRJ, IPM, TKDE, TWEB, TIST. He and his colleagues’ papers received the SIGKDD’08 best application paper award, the SIGIR’08 best student paper award, the ACL’12 best student paper award. Hang worked on the development of several products such as Microsoft SQL Server 2005, Office 2007, Live Search 2008, Bing 2009, Office 2010, Bing 2010, Office 2012, Huawei smartphones 2014 and Huawei smartphones 2017. He has 42 granted US patents. Hang is also very active in the research communities and has served or is serving top international conferences as PC chair, Senior PC member, or PC member, including SIGIR, WWW, WSDM, ACL, NACL, EMNLP, NIPS, SIGKDD, ICDM, IJCAI, ACML, and top international journals as associate editor or editorial board member, including CL, IRJ, TIST, JASIST, JCST.

Monday 2:00pm

Benyu Zhang

Founder & CEO
CloudBrain

Title: CloudBrain

Abstract: CloudBrain is an AI startup to provide AI platforms to different industries, including mobile, securities, human resources, manufactures. After a brief introduction on CloudBrain, I will use one example in human resources to demonstrate one of our technical focuses: model interpretability.

Bio: Benyu Zhang is the Founder & CEO of CloudBrain. Before he founded CloudBrain in 2015, he worked in Facebook, Google, and Microsoft where he initiated and led multiple key products and research projects in search, ads, recommendation, and artificial intelligence. He has 45 published papers and book chapters, with more than 6000 citations. He held 150 US patents in Al related fields. CloudBrain builds industry-specific Al platforms to bridge the gap between Al research and industries. Right now, CloudBrain focuses on the finance, telecom, energy, and human resource industries, and has offices in China and US Silicon Valley.

Monday 2:20pm

Ken Weiner

CTO
GumGum

Title: Computer Vision at GumGum

Abstract: Images are everywhere. With today's access to big data and cheaper processing power, technologies such as deep learning can be leveraged to analyze visual content at scale. GumGum is a computer vision company with a mission to unlock the value of images and videos produced daily across the web, social media, and broadcast TV. You will learn how GumGum has applied its computer vision capabilities to serve a variety of industries from advertising to professional sports.

Bio: Ken Weiner is GumGum’s Chief Technology Officer. With over 15 years of experience in digital technology, Ken leads his engineering and product teams to build the leading computer vision platform for marketers. Ken was LA Business Journal’s 2015 CTO of the Year and was included in the 2003 InfoWorld Top 100 for his open source project uPortal, the leading open source web portal framework for the higher education community that is still used by top universities today. He takes an active role in the ad tech industry and can be seen speaking at conferences and participating in advertising industry groups like IAB’s Open RTB Working Group and LA Ad Tech Meetups. Prior to GumGum, Ken was the Director of Engineering at lead-generation platform LowerMyBills.com which was acquired by Experian in 2005. Prior to LowerMyBills, Ken was an open source software consultant, project manager, and instructor at Interactive Business Solutions (IBS) which was acquired by Unicon Inc. in 2003. Ken received a Bachelor of Science from UCLA and currently lives in Los Angeles, CA. Away from the office, Ken enjoys mountain biking, hiking, California native plants, jazz music, and playing the saxophone.

Monday 2:40pm

Adam Zheng

Cofounder & COO
Oben

Title: The convergence of AI and Blockchain using PAI Chain

Abstract: We have entered a new era of artificial intelligence where we can create intelligent avatars made from the digital profiles of our behaviors online. We call them Personal Artificial Intelligence, or PAI. A PAI is an intelligent avatar that looks, talks and behaves just like its human counterpart, and is secured on the blockchain. Project PAI is an open-source, blockchain platform designed to allow everyone to create, own, and manage their own PAI. Learn more at projectpai.com.

Bio: Adam Zheng is cofounder and COO of ObEN.com, an artificial intelligence (AI) company that builds a full-stack Personal AI on blockchain. ObEN believes that everyone in the world should have his/her own personal AI that looks, sounds and behaves like its human counterpart, and manages these AI rights on the blockchain that is able to support peer-to-peer AIs. Prior to ObEN, Adam cofounded Baihe.com and was a venture partner at Lightspeed Venture Partners. Adam received his Ph.D. from UC Davis and MFE from UC Berkeley.

Monday 3:00pm

Richard Liu

Co-founder & CEO
Leap.ai

Title: Leap.ai: Real-time AI-powered Job Matching Platform

Abstract: Job search is hard and hiring is equally hard. It does not need to be in that way. There is a lot of data and pattern matching in recruiting. This makes it a prime space for AI application. Similar to any other AI applications, data is the key to success. In this talk, I will share Leap.ai's approach of capturing critical but missing data early in the recruiting cycle, and use AI to match talent with the right opportunities in real time.

Bio: Richard is co-founder and CEO at Leap.ai, a startup on building a career development framework to empower people to leap to their dream career. Before started Leap.ai in 2016, he was an Engineering Director at Google. He was a key leader in a wide range of product areas from Enterprise Search, Shopping, Offers to Project Fi. Dr. Liu obtained his Ph.D. in Electrical and Computer Engineering from Univ. of Florida and MBA from Southern Methodist Univ. He earned his master’s degree from Tsinghua Univ. and bachelor’s degree from Sichuan Univ. in China.

Monday 4:45pm

Mihajlo Grbovic

Aribnb

Title: Search Ranking And Personalization at Airbnb

Abstract: Search ranking is a fundamental problem of crucial interest to major Internet companies, including web search engines, content publishing websites and marketplaces. However, despite sharing some common characteristics a one-size-fits-all solution does not exist in this space. Given a large difference in content that needs to be ranked and the parties affected by ranking, each search ranking problem is somewhat specific. Correspondingly, search ranking at Airbnb is quite unique, being a two-sided marketplace in which one needs to optimize for host and guest preferences, in a world where a user rarely consumes the same item twice and one listing can accept only one guest for a certain set of dates. In this talk, I will discuss challenges we have encountered and Machine Learning solutions we have developed for listing ranking at Airbnb. Specifically, the listing ranking problem boils down to prioritizing listings that are appealing to the guest but at the same time demoting listings that would likely reject the guest, which is not easily solvable using basic matrix completion or a straightforward linear model. I will shed the light on how we jointly optimize the two objectives by leveraging listing quality, location relevance, reviews, host response time as well as guest and host preferences and past booking history. Moreover, I will present our recent work on real-time personalization in search ranking, where we leverage listing embeddings trained on historical search sessions to enhance user’s future search experience by promoting similar content to the one user recently interacted with. Finally, I will talk about how we train and use query embeddings to provide better type-ahead suggestions and handle broad queries, in our case queries with no explicit location.

Bio: Mihajlo Grbovic, Ph.D. is a Principal Machine Learning Scientist on the Search Ranking Team at Airbnb. Prior to that, he was a Senior Research Manager at Yahoo Labs working on Advertising Sciences. He has more than 10 years of technical experience in applied Machine Learning, acting as a Science Lead in a portfolio of advertising technology projects at Yahoo and Tumblr. Some of his biggest accomplishments include building a Large-scale Interest and Gender Targeting Pipeline for Tumblr, delivering Email Classification Platform used in Yahoo Mail Smart Views that millions of people interact with every day, and introducing the next generation Query-Ad Matching algorithm to Yahoo Sponsored Search. Dr. Grbovic published more than 40 peer-reviewed publications at top Machine Learning and Web Science Conferences and co-authored more than 10 pending patents. His work was featured in Wall Street Journal, Scientific American, MIT Technology Review, Popular Science and Market Watch.

Monday 5:15pm

Nima Khajehnouri

Engineering Director
Snap Inc.

Title: Snap Monetization, A Cognitive Marketing Ecosystem

Abstract: Snapchat at its core is the safest while funnest place for people to communicate with the ones they care about, and we believe advertising on Snapchat should follow the same philosophy by creating users experiences that are engaging, personalized, fun and privacy safe. Billions of ad requests are made from within the Snapchat app every day. Each of these requests requires either matching an existing ad to a user or actively choosing to not show ad at this time. This decision is made by taking into account many factors such as how much each ad is willing to pay, what events matter to each advertiser, how relevant each ad is to each user, how much we understand users, what they care about, where they go in the physical world, and what they consume across online and offline media, products and services and likelihood of achieving business objective for the advertiser. Moreover, we need to ensure that we’re properly balancing the revenue vs. user-sentiment trade-off, especially as our business continues to grow. We achieve these by processing petabytes of data and analyzing billions of users behavior signals daily. We use machine learning to create granular, context-aware predictive models for every single user. We build, measure and learn, and repeat this loop as fast as possible while remaining vigilant to details, anomalies and the impact on organic engagement of users on our platform.

Bio: Nima Khajehnouri is an Engineering Director at Snap. He runs monetization engineering platform at Snap. His teams work on all aspects of ad delivery platform, such as ad server, targeting, audience discovery and building, auction, marketplace, data science and analytics, ad ranking and machine learning, optimization, ad measurement and reporting. Prior to Snap he was a founding member and VP of engineering of NetSeer (acquired by Inuvo) specialized in concept-based intent ad-targeting solutions which he oversaw all engineering and product development functions. He received his PhD and M.S. in Computer Science and Electrical Engineering from UCLA and have more than 13 years of executive leadership experience in online advertising solutions, software engineering, big data, algorithms, machine learning, data science, large-scale data processing and data serving and cloud infrastructure.

Panels

VC Panel

Time: Monday, 9:45am
Moderator:
  • Steve Hwang, SnapchatBio
    Steve Hwang is VP of Corporate Development at Snap Inc., where he is responsible for M&A and the planning and execution of strategic priorities. Prior to joining the company in January 2014, Steve closely advised Snap Inc. and other notable startups as outside corporate counsel at Cooley LLP.
Panelists:
  • Sunil Nagaraj, UbiquityBio
    Sunil Nagaraj is Managing Partner of Ubiquity Ventures where he invests in seed-stage startups in the areas of smart hardware and machine intelligence applications. Prior to Ubiquity, Sunil spent 6 years as a VC with Bessemer Venture Partners where he was part of investments in Auth0, Defense.Net (acquired by F5 Networks), Rocket Lab, Spire, Tile, Twitch (acquired by Amazon), and Zapier. He was previously founder/CEO of VC-backed online dating startup Triangulate. He has also worked at Bain & Company, Cisco, and Microsoft.

    Sunil holds an MBA from Harvard Business School and a BS in Computer Science from the University of North Carolina at Chapel Hill. He is current Co-Chair of the NextGen Partners (the largest VC networking organization in the Bay Area) as well as the NextGen Board of the Computer History Museum. He also serves on the board of the Astronomical Society of the Pacific (the largest general astronomy education society in the world), the Harvard Business School California Research Center, and the Volunteer Council of the SETI Institute.

  • Liz Milonopoulos, Goldman SachsBio
    Liz is head of Digital Media and Advertising in the Technology, Media and Telecom Group in the Investment Banking Division (IBD). She focuses on client coverage of companies across a broad range of technology, internet and media sub-sectors. Liz is also co-head of the IBD Women's Network. She joined Goldman Sachs in 2008 as an associate and was named managing director in 2015. Prior to joining the firm, Liz worked as an executive at Accenture. Liz earned an MBA from Columbia Business School.
  • Cody Simms, Techstars VenturesBio
    Cody is presently Executive Director at Techstars and head of Techstars accelerator programs in North America. Our US-based accelerator programs are investing in 150+ startups a year in over 15 locations across the USA with more to come. Previously, Cody established and launched the Disney Accelerator, powered by Techstars. Earlier in his career, Cody held roles including Chief Product Officer of StumbleUpon, Vice President of Product Management at Yahoo, and Product Manager at The New York Times, Sprint, and NBC Internet.
  • Damir Becirovic, Index VenturesBio
    Damir joined Index in 2015 and focuses on venture investments in consumer internet companies. He is particularly interested in companies that are pursuing opportunities around the rise of digital commerce and the reshaping of the labor force. Prior to Index, Damir was at Goldman Sachs, where he worked on M&A and capital markets transactions for consumer / retail, healthcare, and cleantech companies, and at Coatue, where he was involved with the firm's investments in Lyft and Avvo. Damir has also worked at Activision Blizzard, Apple and Flextronics. Damir graduated summa cum laude from the University of Southern California with a B.S. in Business Administration. He currently lives in San Francisco and can be found on a soccer field in his spare time.

Career Panel

Time: Monday, 4:00pm
Moderator:
  • Ricardo Baeza-Yates, NTENTBio
    Ricardo Baeza-Yates' areas of expertise are web search and data mining, information retrieval, data science and its associated algorithms. Since June 2016, he is CTO of NTENT, a semantic search technology company based in California, USA. Before he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from January 2006 to February 2016. He also is part time Professor at DTIC of the Universitat Pompeu Fabra, in Barcelona, Spain, as well as at DCC of Universidad de Chile in Santiago. Until 2004 he was Professor and founding director of the Center for Web Research at the later place. He obtained a Ph.D. in CS from the University of Waterloo, Canada, in 1989. He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 2011 (2nd ed), that won the ASIST 2012 Book of the Year award. From 2002 to 2004 he was elected to the Board of Governors of the IEEE Computer Society and between 2012 and 2016 was elected for the ACM Council. Since 2010 is a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow, among other awards and distinctions.
Panelists:
  • Kevyn Collins-Thompson, U MichiganBio
    Kevyn Collins-Thompson is an Associate Professor of Infomation and Computer Science at the University of Michigan. His research explores theoretical models, algorithms, and software systems for optimally connecting people with information, especially toward educational goals. His research has been applied to real-world systems ranging from intelligent tutoring systems to commercial Web search engines. Kevyn has also pioneered techniques for modeling the reading difficulty of text, creating risk-averse search engines that maximize effectiveness while minimizing worst-case errors, and understanding and supporting how people learn language. He received his Ph.D. from the Language Technologies Institute at Carnegie Mellon University. Before joining the University of Michigan in 2013, he was a researcher for five years in the Context, Learning, and User Experience for Search (CLUES) group at Microsoft Research. Kevyn also has ten years of experience in commercial software development, including as technical lead at Microsoft where he led teams that shipped state-of-the art technology in Windows, Office, and many other consumer products.
  • Lada Adamic, FacebookBio
    Lada Adamic leads the Computational Social Science group within Facebook's Core Data Science Team. Prior to joining Facebook she was an associate professor at the University of Michigan's School of Information and Center for the Study of Complex Systems. Her research interests center on information dynamics in networks: how information diffuses, how it can be found, and how it influences the evolution of a network's structure. Her projects have included identifying expertise in online question and answer forums, studying the dynamics of viral marketing, and characterizing the structural and communication patterns in online social media. She has received an NSF CAREER award, a University of Michigan Henry Russell award, the 2012 Lagrange Prize in Complex Systems.
  • Sharad Goel, Stanford UniversityBio
    Sharad Goel is an assistant professor at Stanford University in the Department of Management Science & Engineering, and holds courtesy appointments in Computer Science and Sociology. He looks at public policy through the lens of computer science, bringing a computational perspective to a diverse range of contemporary issues, including police practices, bail reform, political polarization, voter fraud, and online privacy. Before joining Stanford, Sharad worked in industry for seven years, first at Yahoo Labs and then at Microsoft Research.

Schedule

Monday, February 5
Room: Salon I
9am
Industry keynote
Hartmut Neven
Engineer Director, Google
Title: Countdown to Quantum Supremacy: An Update from the Google Quantum Artificial Intelligence Lab
9:45am
VC Panel
Moderator: Steve Hwang (Snapchat)
Panelists: Sunil Nagaraj (Ubiquity), Liz Milonopoulos (Goldman Sachs), Cody Simms (Techstars Ventures), Damir Becirovic (Index Ventures)
10:30am
Coffee Break
11am
Invited Talk
Min Wang
SVP Research, Visa
Title: AI for the Future of Commerce: Challenges and Opportunities
11:30am
Invited Talk
Ash Damle
Lumiata
Title: Using Deep Learning to Predict Emerging and Unidentified Clinical States
12:00pm
Invited Talk
Hang Li
Toutiao
Title: New Era of Information Dissemination - Toutiao’s Vision and Practice
12:30pm Lunch
2pm
Invited Talks
Benyu Zhang
CloudBrain
Title: CloudBrain
2:20pm
Invited Talks
Ken Weiner
GumGum
Title: Computer Vision at GumGum
2:40pm
Invited Talks
Adam Zheng
Oben
Title: The convergence of AI and Blockchain using PAI Chain
3pm
Invited Talks
Richard Liu
Leap.ai
Title: Leap.ai: Real-time AI-powered Job Matching Platform
3:30pm
Coffee Break
4:00pm
Career Panel
Moderator: Ricardo Baeza-Yates (NTENT)
Panelists: Kevyn Collins-Thompson (University of Michigan), Lada Adamic (Facebook), Sharad Goel (Stanford University)
4:45pm
Invited Talk
Mihajlo Grbovic
Aribnb
Title: Search Ranking And Personalization at Airbnb
5:15pm
Invited Talk
Nima Khajehnouri
Snap Inc.
Title: Snap Monetization, A Cognitive Marketing Ecosystem
5:45pm
Fireside chat with Vinod Khosla
Vinod Khosla
Khosla Ventures
Andrei Broder will be the interlocutor.
6:30pm  

Organizers