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Lightning Talk
Lightning Talks 2A-4
Sarthak Mittal · Richard Grumitt · Zuoyu Yan · Lihao Wang · Dongsheng Wang · Alexander Korotin · Jiangxin Sun · Ankit Gupta · Vage Egiazarian · Tengfei Ma · Yi Zhou · Yishi Xu · Albert Gu · Biwei Dai · Chunyu Wang · Yoshua Bengio · Uros Seljak · Miaoge Li · Guillaume Lajoie · Yiqun Wang · Liangcai Gao · Lingxiao Li · Jonathan Berant · Huang Hu · Xiaoqing Zheng · Zhibin Duan · Hanjiang Lai · Evgeny Burnaev · Zhi Tang · Zhi Jin · Xuanjing Huang · Chaojie Wang · Yusu Wang · Jian-Fang Hu · Bo Chen · Chao Chen · Hao Zhou · Mingyuan Zhou

Tue Dec 06 06:30 PM -- 06:45 PM (PST) @
in Featured Papers Panels 2A »

Q&A on RocketChat immediately following Lightning Talks

Author Information

Sarthak Mittal (Universite de Montreal / MILA)
Richard Grumitt (Tsinghua University)
Zuoyu Yan (Peking University)

Zuoyu Yan received his M.S. degree from Peking University in 2019. He is currently pursuing a Ph.D. degree in Wangxuan Institute of Computer Technology, Peking University. His research interests include persistent homology, graph representation learning, and topological data analysis.

Lihao Wang (ByteDance AI lab)
Dongsheng Wang (Xidian University)
Alexander Korotin (Skolkovo Institute of Science and Technology)
Jiangxin Sun (Sun Yat-sen University)
Ankit Gupta (Tel Aviv University)
Vage Egiazarian (Skoltech)
Tengfei Ma (The University of Tokyo)
Yi Zhou (Bytedance)
Yishi Xu (Xidian University)
Albert Gu (Stanford)
Biwei Dai (UC Berkeley)
Chunyu Wang (Microsoft)
Yoshua Bengio (Mila / U. Montreal)

Yoshua Bengio is Full Professor in the computer science and operations research department at U. Montreal, scientific director and founder of Mila and of IVADO, Turing Award 2018 recipient, Canada Research Chair in Statistical Learning Algorithms, as well as a Canada AI CIFAR Chair. He pioneered deep learning and has been getting the most citations per day in 2018 among all computer scientists, worldwide. He is an officer of the Order of Canada, member of the Royal Society of Canada, was awarded the Killam Prize, the Marie-Victorin Prize and the Radio-Canada Scientist of the year in 2017, and he is a member of the NeurIPS advisory board and co-founder of the ICLR conference, as well as program director of the CIFAR program on Learning in Machines and Brains. His goal is to contribute to uncover the principles giving rise to intelligence through learning, as well as favour the development of AI for the benefit of all.

Uros Seljak (University of California Berkeley)
Miaoge Li (Xidian University)
Guillaume Lajoie (Mila, Université de Montréal)
Yiqun Wang (ByteDance Inc)
Liangcai Gao (Peking University)
Lingxiao Li (MIT)
Jonathan Berant (Tel Aviv University)
Huang Hu (Microsoft)
Xiaoqing Zheng (Fudan University)
Zhibin Duan (Xidian University)
Hanjiang Lai (Sun Yat-Sen university)
Evgeny Burnaev (Skoltech)

Evgeny Burnaev obtained his MSc in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology in 2006. After successfully defending his PhD thesis in Foundations of Computer Science at the Institute for Information Transmission Problem RAS (IITP RAS) in 2008, Evgeny stayed with the Institute as a head of IITP Data Analysis and Predictive Modeling Lab. Since 2007 Evgeny Burnaev carried out a number of successful industrial projects with Airbus, SAFT, IHI, and Sahara Force India Formula 1 team among others. The corresponding data analysis algorithms, developed by Evgeny Burnaev and his scientific group, formed a core of the algorithmic software library for metamodeling and optimization. Thanks to the developed functionality, engineers can construct fast mathematical approximations to long running computer codes (realizing physical models) based on available data and perform design space exploration for trade-off studies. The software library passed the final Technology Readiness Level 6 certification in Airbus. According to Airbus experts, application of the library “provides the reduction of up to 10% of lead time and cost in several areas of the aircraft design process”. Nowadays a spin-off company Datadvance develops a Software platform for Design Space Exploration with GUI based on this algorithmic core. Since 2016 Evgeny Burnaev works as Associate Professor of Skoltech and manages his research group for Advanced Data Analytics in Science and Engineering For his scientific achievements in the year 2017 Evgeny Burnaev was honored with the Moscow Government Prize for Young Scientists in the category for the Transmission, Storage, Processing and Protection of Information for leading the project “The development of methods for predictive analytics for processing industrial, biomedical and financial data.”

Zhi Tang (Peking University)
Zhi Jin (SUN YAT-SEN UNIVERSITY)
Xuanjing Huang (Fudan University)

Xuanjing Huang is a Professor of the School of Computer Science, Fudan University, Shanghai, China. She received her PhD degree in Computer Science from Fudan University in 1998. From 2008 to 2009, she is a visiting scholar in CIIR, UMass Amherst. Her research interest includes text retrieval, natural language processing, and data intensive computing. She has published dozens of papers in several major conferences including SIGIR, ACL, ICML, IJCAI, AAAI, CIKM, ISWC, EMNLP, WSDM and COLING. She has also translated the second version of “Modern Information Retrieval” to Chinese. In the research community, she served as the organizer of WSDM 2015, competition chair of CIKM 2014, tutorial chair of COLING 2010, SPC or PC member of past WSDM, SIGIR, WWW, CIKM, ACL, IJCAI, EMNLP and many other conferences.

Chaojie Wang (Nanyang Technological University)
Yusu Wang (University of California, San Diego)
Jian-Fang Hu (SUN YAT-SEN UNIVERSITY)
Bo Chen (Xidian University)
Chao Chen (Stony Brook University)
Hao Zhou (Bytedance AI Lab)
Mingyuan Zhou (University of Texas at Austin)

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