Call for Summer School Applications

  • 2023-05-23 11:10:00


SJTU-THU-PKU Computer Science Summer School 2023 will be launched at Zhiyuan College of Shanghai Jiao Tong University, between July 3rd and July14th. The Summer School aims to provide top-notch undergraduate students from China and overseas universities with a platform to gain cutting-edge academic experience and build friendships among their peers. 

This Summer School offers two courses, Artificial Intelligence and Cryptography in Blockchain, face-to-face lectures given by world-leading scientists, and a series of extracurricular activities. 

The Summer School is now open for applications from outside the mainland of China. Please click the link at the end of the article to access the application system.

July 3-14, 2023

Shanghai Jiao Tong University

Main Participants
  • Shanghai Jiao Tong University
  • Tsinghua University
  • Peking University

Keynote Speakers

Artificial Intelligence 
  • Ping Luo, Associate Professor at the University of Hong Kong.

Ping Luo is an Associate Professor at the Department of Computer Science, the University of Hong Kong. He received his PhD degree in 2014 in Information Engineering, the Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaoou Tang and Prof. Xiaogang Wang. He has published 100+ peer-reviewed articles in top-tier conferences and journals such as TPAMI, ICML, ICLR, NeurIPS, and CVPR in recent three years. His citations in Google Scholar are 33000+. He has won a number of competitions and awards such as the first runner up in 2014 ImageNet ILSVRC Challenge, Gold medal in 2017 Youtube-8M Video Classification Challenge, 2011 HK PhD Fellow Award, 2013 Microsoft Research Fellow Award (ten PhDs in Asia), 2015 AAAI Easily Accessible Paper, 2021-23 AI2000 Most Influential Scholar, 2022 ACL Outstanding Paper, and 2022 Computational Visual Media Journal Best Paper runner-up. He was named one of the young innovators by the MIT Technology Review "Innovators Under 35 (MIT TR 35)" Asia Pacific.

  • Wanli Ouyang, Professor at Shanghai AI Lab.
  • Hang Zhao, Assistant Professor at the Institute for Interdisciplinary Information Sciences at Tsinghua University.

Hang Zhao is an assistant professor at the Institute of Interdisciplinary Information Sciences (IIIS), Tsinghua University. He got his Ph.D. from MIT and then worked as a research scientist at Waymo LLC, known as Google's self-driving car project. His research interests include multimodal machine learning, autonomous driving and robotics. His works in autonomous driving perception and prediction have been widely deployed or referenced by companies in the industry. He won the ICCP Best Paper Award in 2015, and was selected for the 2020 Forbes China U30 List.

  • Tianfan Xue, Assistant Professor at the Chinese University of Hong Kong.

Professor Xue Tianfan is the Vice Chancellor Assistant Professor of the IE department at CUHK. Prior to this, he served as the Staff Engineer at Google Research for over five years. He obtain his Ph.D. degree from CSAIL at MIT, under the supervision of Professor William T. Freeman. In 2011, he obtained his M.Phil. degree from CUHK, and in 2009, he received his bachelor degree from Tsinghua University. His research focuses on computational photography, computer vision and graphics, as well as machine learning. His research has garnered significant attention both in academia and the industry. The anti-reflection technology he investigated is utilized by Google Photoscan, which boasts over 10 million users. The fast bilateral learning technique he researched has been integrated into the Google Tensor Chip. The night scene algorithm he developed won the DPReview's Best Innovation Award. He also served as a reviewer for multiple top conferences and journals, and served as the Web Chair of CVPR 2020 and the Area Chair of WACV 2023 and CVPR 2023.

  • Chaochao Lu, Research Scientist at Shanghai AI Lab. 

Chaochao Lu is currently working as a research scientist and PI, leading the Causal AI team, at the Shanghai Artificial Intelligence Laboratory. He obtained his Ph.D. from the University of Cambridge. In 2015,  He received the Outstanding Student Paper Award at the AAAI-15, and also won the Best Master Thesis Award from the Faculty of Engineering at the Chinese University of Hong Kong. In 2018, He was awarded the Cambridge-Tuebingen PhD Fellowship. In 2022, he received the support from a national talent program. His main research focuses on broad topics on causal machine learning.

 Cryptography in Blockchain

Yupeng Zhang is an Assistant Professor in the Electrical and Computer Engineering department at the University of Illinois Urbana-Champaign (UIUC). His research is in the area of cybersecurity and applied cryptography, developing efficient and scalable cryptographic protocols to enhance the security and privacy of data and computations in real-world applications. He has been working on zero-knowledge proofs, secure multiparty computations, and their applications in blockchain, machine learning and program analysis. He has published many papers in top security and cryptography conferences including S&P, CCS, USENIX Security and Crypto. He is the recipient of the NSF CAREER award, the Facebook Faculty award, the ACM SIGSAC best dissertation award runners-up and the Google PhD fellowship. Before joining UIUC, he was an Assistant Professor in the Computer Science and Engineering department at Texas A&M. He was a postdoctoral researcher with Prof. Dawn Song at UC Berkeley, and he obtained his Ph.D. with Prof. Charalampos Papamanthou and Prof. Jonathan Katz from the University of Maryland.

  • Xiao Wang, Assistant Professor at Northwestern University.

Xiao Wang is an Assistant Professor of Computer Science at Northwestern University. He was a post-doc with Vinod Vaikuntanathan at MIT and Ran Canetti at BU. He obtained his Ph.D. at the University of Maryland with Jonathan Katz. His research interests focus on applied cryptography, specifically in secure multi-party computation, zero-knowledge proofs, post-quantum cryptography, and oblivious algorithms. He received a Best Paper Award in Applied Cyber Security at CSAW 2015, an iDASH Competition Award in 2015, a Human Longevity Inc. Award for MPC in 2016, an ACM CCS Best Paper Award in 2017, an ACM CCS Best Paper Award runner-up in 2021, an ACM CCS Distinguished Paper Award in 2022, a Google Research Scholar Award in 2023 and an NSF CAREER award in 2023.

Extracurricular Activities

International Cultural Exchange Activities 

►Visit to Microsoft Research Asia(Shanghai)
►Visit to miHoYo

►Tour of Guangfulin Relics Park

Dragon Boat Punting at SJTU
Huangpu River  Cruise


Please click the following link to access the application system. 


The application system is exclusive to undergraduate students who are currently enrolled in universities outside the mainland of China.

  • Application Deadline: Applications received by May 31st will be given full consideration.
  • Language:English
  • Fees: Tuition fees are waived. On-campus accommodation is available but exclusive to Chinese citizens.

        A merit-based travel grant is open for application. Applicants will be considered for the grant based on CV and letter of recommendation. Awardees will receive the travel grants upon completion of the Summer School.

Home Institution Location

Grant amount

Asia (outside the mainland of China)

6,000 RMB


13,000 RMB

America, Africa & Europe

15,000 RMB

  • Certificate Awarded: Participants will receive a transcript and a certificate of participation for this Summer School
  • Contact Us: 021-54745761, binglisjtu@sjtu.edu.cn(Ms. Li)

Organizer:Zhiyuan College at Shanghai Jiao Tong University
Co-Organizer:John Hopcroft Center for Computer Science at Shanghai Jiao Tong University
© John Hopcroft Center for Computer Science, Shanghai Jiao Tong University

邮箱:jhc@sjtu.edu.cn 电话:021-54740299