Faculty for Yao Class
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
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
Associate Professor (Tenured)
Quantum Information Sciences Trapped ion Quantum Computation
Kihwan Kim is a tenured associate professor at CQI in IIIS of Tsinghua University. He received a Ph. D degree at Seoul National University and did the post-doctoral researches at Innsbruck University and at the University of Maryland. Currently his research is focusing on the development of trapped ion quantum computation.
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.
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
DiscreteMath, Cryptography, Combinatorial Number Theory, Theoretical Computer Science
John Steinberger received a Ph.D. in mathematics from UC Davis in 2007 and a master in combinatorics and optimization from the University of Waterloo in 2003. Previously to coming to Tsinghua in 2009 John completed a postdoc at University of British Co
Associate Professor and Assistant Dean
Distributed systems, Cloud computing, System monitoring and debugging, Big data, Data center networking
Wei Xu is an associate professor and assistant dean 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 40+ 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.
Artificial Intelligence, Multiagent system, E-commerce, Computational economics, Game theory, Mechanism design
Dr. Pingzhong Tang is associate professor and head of the Computational economics group at IIIS (aka. Yao class), Tsinghua University. Before joining Tsinghua, he spent two years as postdoc at computer science department of CMU. He obtained PhD degree at department of computer science and engineering at HKUST. He has been visiting scientist at Stanford University, Harvard University, University of California at Berkeley and Microsoft research Asia. He published more than 40 papers on AI and economics journals and conferences. He has been a member of Microsoft research Star-track program and PI for a major joint research project between NSFC and ISF (China - Israel). He is an invitee of the prestigious IJCAI early career spotlight talk.
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.
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.
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 joins IIIS as an assistant professor. His research interest focuses on graph algorithms, data structures, and computational theory.
His research interests are in distributed computing, (wireless) networking, and multi-core computer architecture, with a particular focus on algorithmic and theoretical approaches to practical system problems.
Thomas Moscibroda is a Lead Researcher at Microsoft Research Asia in Beijing. He also holds the position of an Adjunct Professor at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. Before moving to China in 2011, he
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”.
Liwei Wang is a professor in the School of Electronics Engineering and Computer Sciences at Peking University. His research focuses on machine learning theory. He received a BS and MS in Electronics Engineering from Tsinghua Unive
Wei Chen is a Senior Researcher at Microsoft Research Asia. He is also an Adjunct Professor at the Institute of Interdisciplinary Information Science, Tsinghua University, and a Guest Researcher at the Institute of Computing Technology, Chinese Academy of Sciences. His main research interests include social and information networks, online learning, algorithmic game theory, Internet economics, distributed computing, and fault tolerance. he has been serving on the PCs or Senior PCs of the top data mining and database conferences, such as KDD, WSDM, WWW, SDM, SIGMOD, ICDE, etc. he is a member of the Big Data Task Force of Chinese Computer Federation. Wei Chen obtained his bachelor and master degrees from the Department of Computer Science and Technology, Tsinghua University, and his Ph.D degree from the Department of Computer Science, Cornell University.
AI+Energy Economics, CS+Urban Systems
Dr. Chenye Wu is an tenure track Assistant Professor at IIIS, Tsinghua University. He was a research scientist at ETH Zurich. Before that, he spent two years as a post doctoral researcher at UC Berkeley. Prior to joining UC Berkeley, he spent one year at CMU as a post doctoral researcher. His research focuses on the power system reliable operation and electricity market design under uncertainties, with an emphasis on utilizing the pervasive intelligent resources. Dr. Wu holds a BS in electronic engineering and a PhD in computer science both from Tsinghua University. He was the best paper co-recipient of IEEE SmartGridComm 2012 and IEEE PES General Meeting 2013.
Computer Networks, Distributed Systems、Cybersecurity
Wenfei Wu got his Ph.D. degree from Computer Sciences Department at the University of Wisconsin-Madison in Dec. 2015, and completed a one-year postdoc in Hewlett Packard Labs, Palo Alto. His research interest is in networked systems. Wenfei has contributions in multiple areas including network management, network verification, the Internet architecture design, and the mobile network architecture design; his works are published in top networking conferences such as SIGCOMM, NSDI, IMC, CoNEXT, etc. He was awarded best student paper in SoCC'13 for his contribution in designing virtual network diagnostic systems.
Computational Biology, Machine Learning, Parallel Algorithms
I am interested in discovering and solving computational problems that can benefit everyday life. This includes designing and applying deep learning methods (e.g., generative adversarial networks) and parallel algorithms (e.g., CUDA programming). Specifically, in the field of computational biology, my recent research work mainly focuses on the following problems: Cryo-EM protein structure determination, nanopore DNA sequencing and methylation detection, and foreign enzyme suggestion for biosynthesis pathway design. Moreover, I am very happy sharing my knowledges and experiences with people who have similar interests.
Spintronics, cavity quantum electrodynamics, spin qubits, topological materials
Executive Director, Chair Professor
FinTech, Machine Learning, Quantitative Finance, Dynamic Resource Management, Information Transmission
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.
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.
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.
Quantum Information, Quantum Computation, Computational Complexity, Quantum Machine Learning, Quantum Programs
Zhaohui Wei is an Assistant Professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. He received his Ph.D. degree from the Department of Computer Science and Technology of Tsinghua University. After that, he worked at the Center for Quantum Technologies in Singapore as a postdoctoral researcher. His research focuses on quantum information and quantum computation, including topics like computational complexity, device-independent quantum tasks, quantum machine learning, and so on.
Tiancheng Lou received his PhD from IIIS, Tsinghua University, advised by Prof. Andrew Yao. During his PhD, he won Google Code Jam twice. Later, Tiancheng served as principal architect of Baidu Autonomous Driving Unit, the youngest T10 technical lead in Baidu history. During the time at Baidu, he fully involved in every aspect of self-driving technology research and development, and chaired the Technical Committee of Baidu Autonomous Driving Unit, responsible of goal setting and technology roadmap decision making. In 2016, Tiancheng co-founded Pony.ai and served as CTO. In 2018, Tiancheng Lou named MIT Technology Review 35 Innovators Under 35.
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, system and chip design for AI and big data, hardware 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.
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.
Assistant Professor (Incoming)
Artificial Intelligence, Deep Reinforcement Learning, Probabilistic Programming, Natural Language Processing
Yi Wu is currently working as a full-time researcher at OpenAI Inc and will join IIIS in 2020 fall. He 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 also worked 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 1200 Google Scholar citations.
Assistant Professor (Incoming)
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.
computer vision, vision for robotics, robot learning, reinforcement learning
Building resource-efficient, high-performance networked systems, and blockchain systems
Assistant Professor (Incoming)
Computer Vision, Artificial Intelligence, Multi-modal Machine Learning, Multi-sensory Systems, Autonomous Driving
Assistant Professor (Incoming)
mechanism design, blockchain systems, platform design, network economics, crowd intelligence