高清无码

Algorithms, Cryptography, Quantum Computing, Artificial Intelligence

Professor Andrew Chi-chih Yao was born in Shanghai and grew up in Taiwan. He received a Bachelor of Science in Physics from 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

Decision Intelligence, Stochastic Modeling and Analysis, Online learning, Optimization and Control

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.

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.

Quantum Information

Dr. Sun is a tenured professor at the Institute for Interdisciplinary Information Sciences at Tsinghua University. His main research focuses on entanglement and error correction based on superconducting circuits. He received his Ph.D. in physics in 2008 at University of Maryland College Park USA. He then did his post-doctoral research at Yale University.

Distributed systems, Data center networking, Fintech, AI Safety, AI+healthcare

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 artificial intelligence, Quantum information and computation, topological phases of matter, quantum nonequilibrium systems

Dr. Dong-Ling Deng is an tenured associate professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. He graduated from Nankai University with two Bachelor's degrees, one in physics and the other in mathematics. He then studied at the Chern Institute of Mathematics and got a master's degree in theoretical physics. After that, he moved to the University of Michigan and obtained his Ph.D. in physics, with a dissertation awarded the "Kent M. Terwilliger Memorial Thesis Prize". He did his postdoctoral work as a JQI (Joint Quantum Institute) postdoctoral fellow at the University of Maryland. Prof. Deng’s current research mainly focuses on quantum artificial intelligence. He has published more than 100 peer-reviewed papers with more than 4300 citations (Google Scholar).

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.

AI+Chiplet, AI algorithm development, Self-driving, Implanted Systems, Neural Dusts

Kaisheng Ma is a tenured associate 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.).

Quantum physics and quantum information, Nonlinear physics, Quantum many-body 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 main 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 46 papers, including 13 Physical Review Letters，1 Science Advances, and 1 Nature Communications. The citations from Google scholar are 2400.

Computer architecture and systems (efficient memory architectures, scalable data processing, and hardware system security)

Mingyu Gao is an associate professor of computer science in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, China. He received his PhD in Electrical Engineering at Stanford University. 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 conferences including ISCA, ASPLOS, MICRO, HPCA, OSDI, SIGMOD, and VLDB. He also regularly serves in the program committees of ISCA, MICRO, ASPLOS, HPCA, and other top conferences. He won the IEEE Micro Top Picks paper award in 2016, and was the recipients of Forbes China 30 Under 30 in 2019 and the outstanding candidate award of 2022 Alibaba DAMO Academy Yong Fellow.

AI+Healthcare, AI theory, Applied Category Theory

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 was on the list of Forbes China 30 Under 30 (2019) and Beijing Zhiyuan Young Researcher 2019.

robotics, reinforcement learning, control, autonomous driving

Jianyu Chen is an assistant professor in Institute of Interdisciplinary Information Sciences at Tsinghua University. He received his bachelor's degree from Tsinghua University and his PhD degree from the University of California, Berkeley, adviced by Professor Masayoshi Tomizuka. In recent years, Jianyu has been engaged in cutting-edge researches in the fields of robotics, reinforcement learning, autonomous driving and control. His research goal is to build advanced robotic systems with high performance and high intelligence. He has published more than 30 papers in top international conferences and journals in the fields of robotics, artificial intelligence, control and transportation, and some of them have been selected as finalists of best papers in L4DC 2022, IEEE IV 2021 and IFAC MECC 2021. He was selected on the Forbes China 30under30 list in 2021.

Cryptography

Yilei Chen 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 //www.chenyilei.net

Computer graphics, machine learning, robotics

Tao Du is an Assistant Professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. His research combines physics simulation, machine learning, and numerical optimization techniques to solve real-world inverse dynamics problems. His work has been published at top-tier graphics and learning conferences, including SIGGRAPH, ICLR, ICML, NeurIPS, and others. Before joining Tsinghua, he was a Postdoctoral Associate (2021-2022) at MIT CSAIL and completed his Ph.D. in Computer Science (2021) at MIT CSAIL under the supervision of Wojciech Matusik. He obtained his Master's in Computer Science (2015) from Stanford University and Bachelor's in Computer Software (2013) from Tsinghua University.

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.

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.

AI Safety, AI Simulation, and AI in Games

Tianxing He is currently an assistant professor at IIIS-Tsinghua. His current research interest is in AI-related social simulation, gaming, and safety.He worked with Yulia Tsvetkov in UW on natural language generation as a postdoc. Before UW, he did PhD in MIT supervised by James Glass. His master was in SJTU SpeechLab supervised by Kai Yu. He was also from ACM 10 (SJTU). During his postdoc, he worked on developing algorithms or protocols for a trustworthy cyberspace in the era of large language models. During his PhD, he worked towards a better understanding of how the current large language models work.

Trapped-ion quantum computing; Quantum information processing with NV centers in diamond

Pan-Yu Hou is an assistant professor at the Institute for Interdisciplinary Information Sciences, Tsinghua University. He obtained his bachelor's and doctoral degrees in Physics from Tsinghua University. His Ph.D. research focused on experimental quantum information and quantum control using color centers and phonon modes in diamond systems under the supervision of Prof. Lu-Ming Duan. He joint Ion Storage Group at NIST Boulder, in the U.S. in 2018 as a postdoc and used trapped ions for quantum computing. His research interest lies in the physical implementation of quantum information processing, including large-scale quantum computing using trapped ions, as well as many-body quantum simulation and quantum sensing using nitrogen-vacancy centers in diamond. He has published nearly 20 papers in highly-selected physics journals and serves as a reviewer and guest editor for several journals.

Machine Learning Theory, AI Safety/Alignment, Optimization

Kaifeng Lyu will be joining the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University as an Assistant Professor in the fall of 2025. His primary research interests include machine learning theory, AI safety/alignment, and optimization. Kaifeng Lyu graduated from the special pilot class (Yao class) at IIIS, Tsinghua University in 2019. He is currently a final-year PhD student at Princeton University, advised by Prof. Sanjeev Arora. Kaifeng Lyu has made fundamental contributions to understanding optimization and generalization in deep learning. His work has been published at top international conferences such as NeurIPS, ICML, and ICLR.

Trapped ion quantum network, cold atom quantum repeater, nonlinear optics

Dr. Pu is an assistant professor at the Institute for Interdisciplinary Information Sciences at Tsinghua University. His main research focuses on quantum network and quantum computation based on cold atoms and trapped ions. He received his BSc and Phd at Tsinghua University in 2012 and 2018. He then did his post-doctoral research at University of Innsbruck. In 2021, Yunfei joined Tsinghua University as an assistant professor.

Cryptography

Yifan Song is an assistant professor at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. In 2017, he received the bachelor's degree in Yao Class at Tsinghua University. In 2022, he received the Ph.D. degree from Carnegie Mellon University, advised by Prof. Vipul Goyal. His research interest is theoretical cryptography, with a special focus on secure multiparty computation, private circuit, information-theoretic security. So far, he has published more than 10 papers at the top conferences (CRYPTO, EUROCRYPT) in Cryptography.

causal inference, experimental design, high-dimensional statistics, econometrics

Yuhao Wang is currently an assistant professor in IIIS, Tsinghua University. Before that, Yuhao Wang was a postdoctoral research associate at the University of Cambridge. 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, experimental design, high-dimensional statistics and econometrics. He has published several papers at top venues including, Biometrika, Bernoulli, NeurIPS. Until August, 2022, Yuhao has more than 556 Google Scholar citations.

Reinforcement Learning for LLM & Large Reasoning Mode, Multi-Agent Reinforcement Learning, Human-Robot Interaction, Machine Learning System

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 more than 40 papers at top venues including NIPS, ICML, ICLR, EMNLP, ICCV, AAAI with over 5700 Google Scholar citations.

Physical implementation of quantum computing, Quantum information, Quantum machine learning

Dr. Yukai Wu is an assistant professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University. He graduated from Physics Department, Tsinghua University in 2015, and received his Ph.D. degree from Physics Department, University of Michigan, Ann Arbor in 2019. From 2019 to 2021, he did his postdoctoral work at IIIS, Tsinghua University. His research mainly focuses on the physical implementation of quantum computing.

Deep reinforcement learning, robotics, computer vision and tactile sensing

Huazhe Xu is a tenure-track assistant professor at Tsinghua IIIS. Before that, he was a postdoctoral researcher at Stanford University. He obtained his Ph.D. degree from UC Berkeley. He obtained his bachelor's degree from Tsinghua University. His research interest lies in the intersection of robotics, deep reinforcement learning, computer vision, and tactile sensing. His research works have been selected for oral presentation in CVPR and ICML and have been covered by MIT Tech Review and Stanford HAI.

3D computer vision, 3D deep learning, robot perception, computer graphics, geometric processing

Li Yi is a tenure-track assistant professor in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University. He received his Ph.D. from Stanford University, advised by Professor Leonidas J. Guibas. And he was previously a Research Scientist at Google working closely with Professor Thomas Funkhouser. Before joining Stanford, he got his B.E. in Electronic Engineering from Tsinghua University. His research interests span across 3D computer vision, computer graphics, and robot learning, and his mission is to equip robotic agents with the ability of understanding and interacting with the 3D world. He has published more than 20 papers at CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, SIGGRAPH Asia, etc and he serves as an Area Chair for CVPR 2022. He has gained more than 6000 citations and his representative works include ShapeNet, spectral graph CNNs, PointNet++.

Database Management Systems，Indexing Data Structures, Data Compression, Cloud Databases

optimization, learning theory, artificial intelligence

I got my PhD from MIT under supervision of Prof. Suvrit Sra and Prof Ali Jadbabaie. My research was about understanding optimization in deep learning setups. Currently I aim to provide analysis for training neural networks. I am also interested in understanding learning theory from a dynamical system and understand dynamical system from a learning perspective. Before attending MIT, I did my undergrad at UC Berkeley under supervision of Prof Laura Waller, where I worked on wave optics and computational imaging.

Computer Vision, Multi-modal Machine Learning, Autonomous Driving, Robotics

Dr. Hang Zhao is an Assistant Professor at the Institute of Interdisciplinary Information Sciences, Tsinghua University. He got his Ph.D. degree from MIT, and a bachelor's degree from Zhejiang University. His main research interests are multimodal machine learning, autonomous driving, and robotics. During his Ph.D. study, Dr. Hang Zhao was supervised by Professor Antonio Torralba, director of the MIT AI+Decision, focusing on visual and auditory crossmodal learning research. He also worked as a part-time researcher at Facebook, NVIDIA, and MERL. After MIT, Dr. Hang Zhao worked as a research scientist at Waymo (known as Google Self-driving), mainly developing multi-sensor learning and motion prediction algorithms. His published works such as VectorNet, TNT, and Open Dataset have become the most widely used algorithm models and data sets in the autonomous driving industry. Dr. Hang Zhao has published more than 40 papers in many high-level academic conferences and journals such as CVPR, ICCV, ECCV, NeurIPS, SIGCOMM, ICRA, etc., and has been cited more than 8,000 times. He has won the ICCP Best Paper Award, Snap Research Fellow, Forbes China 30 Under 30.

Economics and Computation, Artificial Intelligence, Data Markets

Shuran Zheng is a tenure-track Assistant Professor in the Institute for Interdisciplinary Information Sciences at Tsinghua University. Before coming to Tsinghua, she obtained her Ph.D. in Computer Science at Harvard University in 2022. After that, she spent one year as a postdoctoral researcher at Carnegie Mellon University. During the fall of 2022, she was a Student Researcher at Google Research NYC. Broadly speaking, her research is situated at the intersection of Economics and Computer Science. In particular, she is interested in understanding the value of data and information. Her research uses concepts and tools from Economics (especially Mechanism Design), Machine Learning, and Algorithm Design.