Analysis of Algorithms, Computational Complexity, Communication Complexity,
Cryptographic Protocols, Quantum Computing, Computational Economics
Professor Andrew Chi-chih Yao was born in Shanghai and grew up in Taiwan. He received a Bachelor of Science in Physics from National Taiwan University, a doctorate degree in Physics from Harvard University, and another one in Computer Science from the University of Illinois. Professor Yao served on the faculty at MIT, Stanford, UC Berkeley and Princeton University. He left Princeton to join Tsinghua University and founded the world-renowned research center, Institute for Interdisciplinary Information Sciences (IIIS). He is currently the Dean of IIIS. He is also a Distinguished Professor-at-Large at the Chinese University of Hong Kong. Professor Yao’s research interests are in the theory of computation and its applications. He received numerous honours and awards including the prestigious A.M. Turing Award 2000 for his groundbreaking contributions to the theory of computation, the George Polya Prize, the Donald E. Knuth Prize, and honorary degrees from leading universities in Hong Kong (CityU, UST, CU and PolyU), University of Waterloo, and the University of Macau. He is a member of the Chinese Academy of Sciences, and foreign member of the US National Academy of Sciences, and the American Academy of Arts and Sciences.
Computational Geometry and Combinatorial Algorithms
IIIS Chair Professor. She received a B.S. in Mathematics from National Taiwan University in 1969, and a Ph.D. in Mathematics from MIT in 1973. After serving on the Computer Science faculty at University of Illinois, Brown University and Stanford Univer
Quantum Information, Quantum Optics, Atomic Physics, Many-body Theory
"CC Yao Professor" at Tsinghua University and Enrico Fermi Collegiate Professor of the University of Michigan. Prof. Luming Duan obtained his PhD degree from the University of Science and Technology of China. He won Alfred P. Sloan Fellowship
Algorithm Design, Machine Learning, Finance, Databases
Jian Li is Tenured Associate Professor at Institute for Interdisciplinary Information Sciences Tsinghua University. He got his BSc degree from Sun Yat-sen (Zhongshan) University China MSc degree in computer science from Fudan University China and PhD degre
Dr. Sun is an associated professor at the Institute for Interdisciplinary Information Sciences at Tsinghua University. His main research focuses on entanglement and error correction ba
Stochastic Modeling and Analysis Optimization and Control Machine Learning and Sharing Economy
Dr. Huang is an associate professor at the Institute for Interdisciplinary Information Sciences at Tsinghua University Beijing China. He received his Ph.D. in EE from the University of Southern California in August 2011 and then worked as a postdoctoral researcher in the EECS dept. at University of California at Berkeley from July 2011 to August 2012. Dr. Huang has been a visiting scholar at the LIDS lab at MIT and at the EECS department at UC Berkeley and a visiting professor at CUHK Bell-labs France and Microsoft Research Asia. He was a visiting scientist at the Simons Institute at UC Berkeley in Fall 2016. Dr. Huang received the outstanding teaching award from Tsinghua university in 2014. Dr. Huang has served as TPC members for several top-tier IEEE and ACM conferences. He was also the lead guest editor for the IEEE JSAC special issue on “Human-In-The-Loop Mobile Networks” in 2016 and an associate editor for ACM Transactions on Modeling and Performance Evaluation of Computing Systems since 2017.
Distributed systems, Cloud computing, System monitoring and debugging, Big data, Data center networking
Wei Xu is an associate professor at the Institute for Interdisciplinary Information Sciences (IIIS) of Tsinghua University in Beijing. He is also an associate director of the Tsinghua’s Institute of Financial Technology and director of its blockchain research center. His research interest includes distributed system design, data science, especially their applications in financial technology. He has published 50+ research papers in leading venues. He received faculty research awards from Google and IBM, graduate student advising award and employee perfomance award from Tsinghua and multiple best paper awards at leading academic conferences. He received his B.S.E. from Univ. of Penn and Ph.D. from UC Berkeley. Before Tsinghua, he worked for Google as a software engineer for 2.5 years.
Quantum information and quantum optics
Xiongfeng Ma’s main research interest lies on quantum information and quantum optics, particularly in quantum cryptography and quantumness measures. After obtaining his BSc at Peking University in 2003, Xiongfeng attended the University of Toronto for his PhD degree. From 2008 to 2011, he did his post-doc and visiting researcher positions at the University of Waterloo, the University of Toronto, and the University of Leeds. In 2012, Xiongfeng joined Tsinghua University as an assistant professor.
Computational Biology Machine Learning Big Data
Jianyang (Michael) Zeng is currently a tenure-track assistant professor in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. He was a postdoctoral associate in the Department of Computer Science at Duke University and the Duke University School of Medicine in 2011-2012. He received his PhD in Computer Science from Duke University in 2011 advised by Prof. Bruce Donald (ACM and IEEE fellows). He received his MS and BS degrees from Zhejiang University in 2002 and 1999 respectively. His current research interests include Computational Biology Machine Learning and Big Data Analysis. In 2012 he was chosen as a Finalist for a Lane Fellowship in Computational Biology at Carnegie Mellon University (CMU). He received the Best Paper Award in the sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT) in 2005. He has served as PC members for several top-tier international conferences such as RECOMB ISMB and IJCAI.
Graph Algorithms, Data Structures, Computational Theory
Ran Duan received his B.S. degree in Computer Science at Tsinghua University in 2006, and his M.S. and Ph.D. degrees in Theoretical Computer Science at University of Michigan, Ann Arbor (under the instruction of Prof. Seth Pettie). Then he held a postdoctoral researcher position in Max-Planck-Institut für Informatik in Germany until 2014, supported by Alexander von Humboldt fellowship. In Aug 2014, he becomes a faculty member in IIIS. His research interest focuses on graph algorithms, data structures, and computational theory.
Artificial Intelligence, Deep Reinforcement Learning, Multi-Agent Reinforcement Learning
Chongjie Zhang is an Assistant Professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. Before joining the faculty, he worked as a postdoc at Massachusetts Institute of Technology on studying robotics with applications on manufacturing. He received his Ph.D. from University of Massachusetts Amherst in 2011. His research focuses on machine learning and planning for decision making and control, with an emphasis on deep reinforcement learning and multi-agent learning. Applications of his work includes autonomous robotic systems, games, sensor networks, cloud computing, as well as resource management.
Algorithm Economics, Computational Environmental and Ecological Management, Market design for smart grid and smart city, Optimal Control and Operation of Power Systems, AI and Big Data
Yang Yu is Assistant Professor of the Institute for Interdisciplinary Information sciences (IIIS) in Tsinghua University. Before joining the IIIS, he got his Ph.D. from Stanford University. His research interests cover a wide range of topics in energy systems and markets and smart grid, with a focus on the environmental effects of the interactions between energy policy, market design, and energy system’s physical features. His research on the marginal cost of wind power and the market power won the “2015 Dennis J. O'Brien USAEE/IAEE Best Student Paper Award” at the USAEE Conference. In the same year, his research on incompatibility between the current transmission congestion policy and wind power uncertainties won the “2015 Annual Best Student Paper Award” at the IAEE Conference. In 2016, Dr. Yu received the “Best Paper Award” from the U.S-China Green Energy Summit for his study that demonstrates how China’s renewable priority dispatch policy will weaken the capability of wind power to reduce CO2 emission and the effectiveness of a carbon tax.
Cold atom physics, topological condensed matter physics
Yong Xu is an assistant professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. He received his B.S. degree from Lanzhou University in 2005 and PhD degree from Institute of Physics, Chinese Academy of Science in 2013. In 2017, he joined the IIIS at Tsinghua University as an assistant professor, after his postdoc training at the University of Michigan, Ann Arbor. His research interests broadly encompass the theory of topological condensed matter physics and ultra-cold atomic gases. His mainly research contribution includes the theoretical prediction of structured (type-II) Weyl fermions, Weyl exceptional rings, topological amorphous metals, type-II quadrupole topological insulators and new topological insulators beyond energy band characterization. Currently, he has published 30 papers, including 9 Physical Review Letters，1 Nature Communications and 1 Science Advances (accepted for publication). The citations from Google scholar are 1177.
Quantum artificial intelligence, Quantum information and computation, topological phases of matter, cold atoms, quantum nonequilibrium systems
Dr. Dong-Ling Deng is an assistant professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. He graduated from Nankai University with two Bachelor degrees, one in physics and the other in mathematics. He then studied at the Chern Institute of Mathematics and got a master degree in theoretical physics. After that, he moved to the University of Michigan and obtained his Ph.D. in physics. He did his postdoctoral work as a JQI (Joint Quantum Institute) postdoctoral fellow at the University of Maryland. Prof. Deng’s current research mainly focus on quantum machine learning/artificial intelligence.
AI chip design, AI algorithm development, Self-driving, Implanted Systems, Neural Dusts
Kaisheng Ma is a tenure-track assistant professor of computer science in Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. He leads the Algorithms, Architecture and Chipset Lab (ArChip). His research interests lie in the interdisciplinary fields of human-machine interface (HMI), brain-spired AI algorithm design, computer vision for self-driving, compact model design, computer architecture and microelectronics. He believes in vertical integration for systems, with a special emphasis on implanted medical and neural devices, and chip level system solutions for self-driving systems. He publishes papers on conferences including NeuralPS, ICCV, AAAI, CVPR, ISCA, ASPLOS, MICRO, HPCA, DAC etc.
Dr. Ma received his Ph.D. in Computer Science and Engineering at the Pennsylvania State University, following Professor Vijaykrishnan Nanrayanan @ Penn State, Yuan Xie @ UCSB (Now at Alibaba DAMO Computing Lab), Jack Sampson @ Penn State. His previous research on Nonvolatile Processor and Energy Harvesting won 2018 EDAA Best Dissertation Award.
Dr. Ma has won many awards, including: 2015 HPCA Best Paper Award, 2016 IEEE MICRO Top Picks, 2017 ASP-DAC Best Paper Award. 2018 EDAA Best Dissertation Award. Dr. Ma has many honors, including 2016 Penn State CSE Department Best Graduate Research Award (Among ~170 Ph.D. students), 2016 Cover Feature of NSF ASSIST Engineering Research Center Newsletter, 2011 Yang Fuqing & Wang Yangyuan Academician Scholarship (1/126, Peking University.).
Theory for machine learning and optimization, machine learning algorithm
Yang Yuan is an assistant professor at IIIS, Tsinghua. He finished his undergraduate study at Peking University in 2012. Afterwards, he received his PhD at Cornell University in 2018, advised by Professor Robert Kleinberg. During his PhD, he was a visiting student at MIT/Microsoft New England (2014-2015) and Princeton University (2016 Fall). Before joining Tsinghua, he spent one year at MIT Institute for Foundations of Data Science (MIFODS) as a postdoc researcher, advised by Professor Piotr Indyk and Professor Aleksander Madry. He works on machine learning theory and algorithm design, including optimization, neural network analysis, hyperparameter tuning, etc. He has published 19 papers, and has more than 1800 Google scholar citations. He was on the list of Forbes China 30 Under 30 (2019) and Beijing Zhiyuan Young Researcher 2019.
Computer architecture and systems, scalable system and chip design for AI and big data, efficient memory architectures, and hardware system security
Mingyu Gao is a tenure-track assistant professor of computer science in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, China. Mingyu received his PhD and Master of Science degrees in Electrical Engineering at Stanford University, and Bachelor of Science degree in Microelectronics at Tsinghua University. Currently he leads the Innovative Data-centric Efficient Architecture Lab (IDEAL). His research interests lie in the fields of computer architecture and systems, including efficient memory architectures, scalable data processing, and hardware system security, with a special emphasis on data-intensive applications like artificial intelligence and big data analytics. He has published in top-tier computer architecture conferences including ISCA, ASPLOS, HPCA, and PACT, and been granted several patents. He won the IEEE Micro Top Picks paper award in 2016, European HiPEAC paper awards for three times, and was the recipient of Forbes China 30 Under 30 in 2019.
Database, Data Mining
Yihan Gao is an Assistant Professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. His research interest is primarily on the deep integration between Artificial Intelligence and Databases, which can be broadly categorized into two groups: 1. techniques that allow database systems to "learn" the characteristics of datasets can tune its internal structures accordingly to achieve superior performance; 2. algorithms that provides "smart" functionalities for databases that are beyond the reach of conventional DB systems.
Building resource-efficient, high-performance networked systems, and blockchain systems
Dong Zhou is an Assistant Professor at IIIS, Tsinghua University. He graduated from IIIS in 2012 and received his PhD in Computer Science from Carnegie Mellon University. Dong's research interests are in building resource-efficient, high-performance software systems and network components, and more recently, blockchain systems. He has published in top conferences including SIGCOMM, NSDI and SOSP.
computer vision, reinforcement learning
Yang Gao got his bachelor degree from the department of computer science, Tsinghua University. Later, he got his Ph.D. from UC Berkeley, advised by Prof. Trevor Darrell. He has collaborations with many professors at Berkeley, such as Pieter Abbeel and Sergey Levine. Yang's main research interest lies at the intersection of computer vision and reinforcement learning. Before joining Tsinghua University, he works with Dr. Vladlen Koltun at Intel Research on using deep learning for autonomous driving. In 2016, Yang interns at Waymo, the autonomous driving department at Google. He made important improvements to the vision component of the vehicle. Yang published many papers at top-tier conferences such as CVPR, ICML, NeurIPS, ECCV, ICLR and ICRA. He got more than 1700 citations, according to Google Scholar.
Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, Reinforcement Learning System, Natural Language Understanding and Interaction
Yi Wu graduated from the special pilot class (Yao class) at the institute of interdisciplinary information sciences (IIIS) in 2014 and obtained his Ph.D. degree in AI from UC Berkeley under the supervision of Prof. Stuart Russell. He worked as a full-time researcher at OpenAI Inc from 2019 to 2020 and as a part-time researcher at Facebook AI Research from 2017 to 2018. During Yi's college study, he received university principle scholarship for freshmen and institute principle scholarship. During his Ph.D. study, Yi received Baidu Fellowship and the only best paper award at NIPS 2016. Yi has published 16 papers at top venues including NIPS, ICML, ICLR, EMNLP, ICCV, AAAI with over 1600 Google Scholar citations.
causal inference, high-dimensional statistics, robust machine learning
Yuhao Wang is currently a postdoctoral research associate at the Department of Pure Math and Mathematical Statistics at the University of Cambridge. He will join IIIS as an assistant professor in fall, 2020. Yuhao Wang got his Ph.D. and Master degree from the Department of Electrial Engineering and Computer Science at the Massachusetts Institute of Technology and his Bachelor from the Department of Automation at Tsinghua University. Yuhao Wang's primary research focus includes causal inference, high-dimensional statistics and robust machine learning. He has published several papers at top venues including NeurIPS, AISTATS, ISMB and ACSSC and has more than 225 Google Scholar citations.
mechanism design, blockchain systems, platform design, network economics, crowd intelligence
Zhixuan Fang is a tenure-track assistant professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. He received his PhD degree from IIIS, Tsinghua University in 2018, and the B.S. degree in School of Physics, Peking University in 2013. Before joining IIIS, he worked as a postdoctoral researcher at the Chinese University of Hong Kong. His research focuses on developing methods and solutions to address challenges in multi-agent systems consist of interest-driven individuals. Specifically, his recent studies are mostly on the topics of online platforms and blockchain systems.
reinforcement learning, control, robotics, autonomous driving
Jianyu Chen is an assistant professor in Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. Prior to that, he was working with Prof. Masayoshi Tomizuka at the University of California, Berkeley and received his Ph.D. degree in 2020. He received his Bachelor degree from Tsinghua University in 2015. Jianyu is working at an intersection of machine learning, robotics and control to build intelligent systems which can efficiently obtain safe, reliable and adaptable sensori-motor control policies. Applications of his work mainly focus on robotic systems such as autonomous driving and industrial robots. His research interests include reinforcement learning, robotics, autonomous driving, deep learning, and control.
Database Management Systems，Indexing Data Structures, Data Compression, Cloud Databases
Yilei Chen is an assistant professor at Tsinghua University IIIS. Before joining Tsinghua he was a researcher at VISA Research. In 2018 he got his Ph.D. from Boston University under the guidance of Professor Ran Canetti and Professor Leonid Reyzin. He attended college at Shanghai Jiao Tong University.
Yilei's research interest is in cryptography, especially in the areas of pseudorandomness, lattice, number theory, and quantum computation. His main research contributions are (1) developping the lattice theory behind multilinear maps and program obfusctaion; (2) basing the Fiat-Shamir heuristic on established cryptographic assumptions; (3) proposing a candidate group with infeasible inversion. More information is available on http://www.chenyilei.net
large-scale pretraining, natural language processing, few-shot learning, generative modeling, sequence modeling, multi-modal learning
3D computer vision, 3D deep learning, robot perception, computer graphics, geometric processing
Shi-Min Hu is currently a professor at Tsinghua University, Beijing, and director of Tsinghua-Tencent joint Lab for Joint Laboratory for Internet Innovation Technology. He received the PhD degree from Zhejiang University in 1996. His research interests include digital geometry processing, video processing, rendering, computer animation, and computer aided geometric design. He has published more than 100 papers in journals and refereed conference, include 30 papers in ACM SIGGRAPH/ACM TOG. He is Editor-in-Chief of Computational Visual media (Springer), associate Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics, and on Editorial board of Computer Aided Design (Elsevier) and Computer & Graphics (Elsevier). He is in steering committee of various conferences; include Pacific Graphics, Geometric Modeling and Professing. Professor Shi-Min Hu is a teacher of computer graphics course for “Yao Class”.