Lukasz is currently a senior Research Scientist in the Google Brain Team in Mountain View, where he works on fundamental aspects of deep learning and natural language processing. He has co-designed state-of-the-art neural models for machine translation, parsing and other algorithmic and generative tasks and co-authored the TensorFlow system, the Tensor2Tensor library and the Transformer model. Lukasz joined Google in 2013. Before joining Google, he was a tenured researcher at University Paris Diderot and worked on logic and automata theory. He received his PhD from RWTH Aachen University in 2008 and his MSc from the University of Wroclaw, Poland.

Gary Bradski is an entrepreneur, engineer and researcher in computer vision and machine learning. He founded and still runs (CEO of) the most popular computer vision library in the world: OpenCV http://opencv.org/.  He organized the computer vision team for Stanley, the autonomous car that kicked off the autonomous driving industry. Gary served as a visiting Professor at Stanford University Computer Science department for seven years where he co-founded the Stanford AI Robot (STAIR) Project which was the forerunner of the robot operating system (ROS) and PR2 robot developed at Willow Garage where he also served as Senior Scientist and manager. He founded Industrial Perception which sold to Google in 2013 and he created the Silicon Valley office of Magic Leap. He has a long list of patents and publications and two textbooks and sits on the boards and advisory boards of several Silicon Valley Companies.

Kun Wang founded Trending Technology in 2019. Prior to this, Dr. Wang Kun served as the Dean of Dell EMC China Research Institute, responsible for managing and leading all Dell EMC research teams in Greater China. Before joining Dell EMC, Dr. Wang worked in IBM China Research Institute and Microsoft Asia Pacific R&D Center, where he served as researcher, senior researcher and research manager. Dr. Wang is a senior expert in the fields of computer architecture, GPU and FPGA virtualization, and distributed systems. He was the first to promote FPGA virtualization related research in the industry. Dr. Wang graduated from the Computer Department of University of Science and Technology of China.

Dr. Fang is currently the Chief AI Consultant of Boolan. He has long been engaged in deep learning, Bayesian networks, evolutionary learning, brain-like learning, impulse neural networks and predicate logic research and technical consulting, involving autonomous driving, face recognition, natural language processing He has led the research and development of artificial intelligence game software framework, general problem solving framework, Prolog logic language compiler and operating environment. Before joining Boolan, Dr. Fang served as a Senior Researcher, Chief Scientist of Shenlan Technology AI, and president of Shenlan University. Graduated with a PhD in computer software from Nanjing University.

Tencent Platform and Content Business Group (PCG) AI platform technology leader, mainly focusing on machine learning platforms, recommendation systems, algorithm applications, etc. Worked on big data system development at Google Core Infra. Engaged in deep learning research and TensorFlow development at Google Brain. Responsible for PaddlePaddle development at Baidu. Served as the technical leader of the department at Tencent PCG.

Mr Yu is currently a senior architect of Huawei's AI computing framework MindSpore, won the 2020OSCAR open source person, and was hired as a visiting professor at Harbin Institute of Technology, leading the design and implementation of Huawei's AI system core algorithm/cloud computing resource scheduling/SDN large-scale routing architecture and algorithm, and published patents And more than 30 papers. Graduated from the University of Science and Technology of China in computer science.

Responsible for the recommendation algorithm of Kuaishou main APP, speed version, live e-commerce, overseas business, etc. Before joining Kuaishou, he served as the technical director of Alibaba. He was responsible for the technology research and development of Shoutaoguo You Like Recommendation and Alibaba’s multiple recommendation business lines. Alibaba recommended technology evolution as the main promoter. There are many experience of recommending business algorithm leaders with a scale of 100 million users. Published many papers at conferences such as KDD, WSDM, WWW, RECSYS, etc.

Ji Zhang , senior algorithm expert of Alibaba Dharma Academy, is committed to the research of algorithms in the field of intelligent human-computer interaction and the implementation of business scenarios. He has accumulated 10 years of technical experience in the field of natural language processing. Technology promotes the landing and development of Xiaomi's large-scale intelligent service business. At present, Xiaomi's algorithm middle station serves Ali CCO customer service, more than 80 business BUs in the economy, millions of corporate customers, and global customers from 18 different languages and more than 130 different countries.

Phantom is currently the VP of Laiye Technology, responsible for various application scenarios of RPA and RPA+AI. Before joining Laiye Technology, Phantom served as the CTO and technical partner of Zhujian Smart. He is familiar with NLP and knowledge graph implementation solutions, and is also familiar with how to implement human-computer interaction. Since the beginning of the 1990s, he has been exposed to artificial intelligence, including neural networks, computer chess, and ASR, and later became an expert in the field of search engines and email security. Graduated from the Department of Information Engineering, National Taiwan University, and a Master of Computer Science from the State University of New York.

Vice Chairman of Zhongguancun Digital Intelligence Industry Alliance, Architect of Tianshu Open Source AI Platform in Zhijiang Laboratory. In 2013, he joined Microsoft Research Asia to engage in large-scale machine learning platform research and development. In 2014, he invented LightLDA, the world's fastest theme model training algorithm system at the time, and was called "the best achievement of the year" by Zhou Yizhen, global vice president of Microsoft Research. In 2015, he focused on building a deep learning platform based on heterogeneous clusters and won the Special Award from the Dean of Microsoft Research Asia. Dr. Yuan has published many papers at top conferences in the field of computer vision and multimedia, and has won the first place in the video retrieval evaluation competition of the National Bureau of Technology and Standards for many years. Doctor of Engineering from Tsinghua University.

The person in charge of artificial intelligence algorithm research and development of SmartNews, leading the recommendation and advertising ranking based on content understanding and knowledge graph. Prior to joining SmartNews, Dr. Zhou served as a researcher at Xerox Silicon Valley Research Center, senior R&D manager at Amazon US headquarters, product director of Shanda Innovation Institute, vice president of research and development of Zhigu Company, CTO of Baby Tree, head of algorithm research and development of Hulu Beijing R&D Center, artificial intelligence Platform engineering manager of Facebook.

Chen Weiyu, Head of Intelligence & Content Center at China Literature, is responsible for the construction of China Literature's smart center and content center. He has an in-depth understanding of the content industry and has led the promotion of the application and implementation of smart technology within the group. Before China Literature, he was responsible for technical projects such as recommendation system, precise advertising, user portrait, vertical search, and big data commercialization at Baidu.

As a senior architect of machine learning at Sina Weibo, Shen has over 10 years experience of developing machine learning. He's focus on NLP, social mining, visual and auditory computing searching recommendation and information flow sorting.

He has long served as CTO in a first-line artificial intelligence company and has rich experience in AI R&D management. He is one of the founders of OpenKG, the world's largest Chinese open knowledge graph alliance. He is responsible for participating in a number of provincial and ministerial AI-related projects, and has published more than 90 high-level papers in the AI field, which have been cited more than 2000 times and the H-Index has reached 21. He built the world's first interactive virtual idol—"Amber·Xuyan"; the intelligent customer service robot he built has served more than 1 billion users. Currently, he is the deputy director of the Terminology Committee of the China Computer Society; the deputy secretary general of the Language and Knowledge Computing Committee of the Chinese Information Society and other social positions.

Hui Zhou , the head of AI services for the retail big data platform of Ping An Bank's Financial Services Bank Technology Center, graduated from the National University of Singapore, and has successfully started his own business in Singapore. He used to be the head of China Innovation and Technology R&D Center, the head of Global Internet Services of Innovation and Technology, the head of Shanghai Yidong Advertising Data Science, and the CTO of Mammoth Anti-fraud, a financial technology startup.

Senior data scientist in Silicon Valley, PhD in statistics, former visiting professor at Colorado State University, head of Snap advertising technology, head of data science at Stitch fix, and data scientist in Twitter ad group. He has many years of experience in data analysis and modeling, covering areas such as search advertising recommendation back-end algorithms, customer growth in the retail industry, and inventory management. In-depth research on data science education, Internet advertising and emerging retail business models. He look forward to communicating with you on the technology of data science and the topic of business value.

Senior technical expert of artificial intelligence autonomous driving, has been engaged in data science mining and analysis for many years. In 2017, he joined AutoX, founded AutoX China headquarters, and led the team to establish a set of autonomous driving test methods adapted to the Chinese road environment. At the beginning of 2019, the leading team realized the landing of the xUrban system, China's first autonomous driving system adapted to the central sections of first-tier cities. Worked in NetEase, China Merchants Bank and other companies engaged in big data analysis.

Currently in Alibaba AIS Aurora Heterogeneous Computing and Compilation Department, responsible for the AI model system optimization and privacy computing acceleration related work of Aurora heterogeneous computing platform, involving software and hardware collaboration AI algorithm optimization, compilation and algorithm coordination optimization, privacy computing Heterogeneous acceleration and other technical directions in the field; before joining Alibaba, he had been engaged in system performance optimization related work for many years in Huawei, intel, and Samsung, and had in-depth research in the field of system full-stack performance optimization.

Dr. Wu is currently a machine learning data scientist at Airbnb, and also serves on the ML Review committee of the company. He is an experienced researcher focusing on web and product search, personalization, and recommender systems. Dr. Wu published around 40 papers in major academic conferences, and serves as a program member for major AI conferences such as KDD, SIGIR, IJCAI and WSDM.

Liu Lei, a Senior Applied Researcher in eBay Search Science team, has many years of experience in machine learning, including working on many Search and Ads projects at eBay, Tencent and Alibaba. He currently leads the effort of eBay product item understanding, which includes product item quality evaluation, similar product item detection, fraud detection, etc.

Wei Min, Machine Learning Engineer from Payment & Risk in CCoE, has many years of experience in risk products development. Before rejoining eBay, she was Tech Partner of a FinTech Start-Up and data engineer of eBay search science.

Mr Jiang is currently the senior R&D director of Appen China, responsible for the research and development of Appen's next-generation data service platform. Lead the team to optimize the efficiency of global data collection/labeling/crowd-sourcing recruitment in a technology-driven way. Put forward the concept of “lean labeling” and promote the implementation of an architecture that quickly responds to customized collection and labeling requirements. Worked at eBay as a senior engineer in the search science department. Promoting the implementation of modern intelligent search engines, using data to drive search engine algorithm development, and improving the iterative speed and online effect of algorithm development. Developed search ranking algorithms and anti-fraud models based on deep learning, and successfully launched several models to drive tens of millions of dollars in GMV each year.

At present, he is mainly responsible for AI related product planning and technology research and development, and is committed to promoting the implementation of AI technology in 58.com, building AI midrange capabilities, and improving the human efficiency, revenue and user experience of front office business. At present, the main products in charge include intelligent customer service, voice robot, voice analysis platform, speech recognition, intelligent manuscript writing, AI algorithm platform, CRM intelligent marketing system, etc.He used to be a senior engineer of Tencent, engaged in the research and development of recommendation algorithm.He graduated from University of Chinese Academy of Sciences with a master's degree.

Dihao Chen, Prophet Platform Architect in 4Paradigm, is responsible for the productization of the deep learning framework and the development of the next-generation feature engine. Actively participate in the development of projects such as TensorFlow, Kubernetes, and TVM in the open source community, and have a certain understanding of distributed systems and deep learning platforms. Currently, he focuses on the development of offline and online consistent feature engines.

The current Founder & CEO of PerfXLab, the initiator and main maintainer of the internationally renowned open source matrix computing project OpenBLAS. He graduated from the University of Chinese Academy of Sciences with a Ph.D., and then did postdoctoral research at UT Austin and MIT. In 2016, PerfXLab was founded to provide intelligent edge computing solutions and software ecology and computing platform supporting domestic chips/RISC-V.

Currently responsible for the AI compiler and Apache TVM Committer in Yuntian Lifei. Before joining Yuntian Lifei, he had promoted the compilation and optimization of TVM-based deep learning engine in Alibaba AliOS, which has become the core component of AliOS. Before joining Alibaba, he worked in IBM XL C++ compiler related work. He has a lot of experience and accumulation in C++, compilation optimization, and high-performance computing. Active in the open source project Apache TVM, is the Committer of the project。

The current innovation manager of Merck's China Innovation Center is mainly devoted to the research of artificial intelligence models and data mining algorithms, which are applied to the intersection of biology, medical and other fields. He used to be a research scientist at IBM Research Institute, leading the development of a disease progression management platform based on billions of patient data, a visiting researcher at the University of Calgary, and the founder of Westport Technology. He has published more than 40 papers in top international conferences and journals such as ACL, IJCAI, and Bioinformatics. Frontiers in Artificial Intelligence, Frontiers in Neurorobotics and other journal editors, IEEE SMC 2020, IJCNN 2020 and other conference field chairmen. Ph.D. graduated from Hong Kong Polytechnic University.

Senior algorithm architect in 58 City, a veteran of the Internet industry for many years, previously worked in MSRA/CRL/Tencent/Xiaomi. Mainly engaged in the technical direction of search recommendation advertising, involving search relevance, advertising strategy algorithms, user portrait construction applications, machine learning platforms, recommendation engines and algorithms. He has many years of business landing experience in realizing efficient information distribution based on search recommendation technology, and has in-depth research on the application of machine learning to search and promote.