In the early morning of November 20th, the results of Supercomputing Conference 2020 (SC20) Student Cluster Competition finals were announced. The team formed by students from the School of EECS, Peking University, won the silver medal. It is worth mentioning that 5 out of the 6 members in the team come from the Turing Class. Congratulations!

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PKU Student Supercomputing Team Members

A total of 19 teams around the globe participated in this final, including Peking University, Tsinghua University, Massachusetts Institute of Technology, Georgia Institute of Technology, and etc. The team representing PKU in this competition is composed of six undergraduates from the School of EECS, including Pengcheng Xu (Turing Class of 2017), Yueyang Pan (Turing Class of 2018), Zejia Fan (Turing Class of 2017), Fangyuan Yang (Class of 2017), Yuchen Gu (Turing Class of 2018), Zhewen Hao (Turing Class of 2019). …


On Friday, November 20th, 2020, the inaugural John Hopcroft Scholarship award ceremony was held at Peking University. 48 students from Turing Class were awarded in recognition of their outstanding performances in the academic year of 2019–2020.

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Professor Baoquan Chen, Executive Director of Center on Frontiers of Computing Studies, Peking University, hosted the ceremony. Professor Chen announced the establishment of John Hopcroft Foundation and congratulated the first batch of John Hopcroft Scholarship recipients. “In 2017, Professor John Hopcroft spearheaded the Turing Class Program at Peking University. Ever since then, he has been a true mentor of this program. John not only takes charge of the curriculum design, but also regularly teaches courses of Turing Class Program. He serves both as a mentor and a role model to the students. …


On October 27th, 2020, the opening ceremony for Turing Class of 2019 and 2020 was held at Peking University. Jianbo Liu, vice-minister of PKU Teaching Affairs Department, Wen Gao, dean of PKU School of Electronics Engineering and Computer Science (EECS), Zhenjiang Hu, vice-dean of EECS and director of Department of Computer Science and Technology, Turing Class teachers and students attended the ceremony. Baoquan Chen, executive director of CFCS, chaired the event.

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Professor Baoquan Chen

John Hopcroft, Turing Laureate (1986), visiting chair professor of Peking University, Director of CFCS and Turing Program Steering Committee, attended the ceremony remotely and congratulated students who were selected to be in Turing Class. By sharing his own career experience, Professor John Hopcroft encouraged students to grasp new opportunities and to explore new research areas. “A time of change is a time of opportunity. You are fortunate that you are graduating at a time of fundamental change,” said John. “You are at an exciting phase in your life. The next four years will play a major role in your future. …


Dr. Xiao Yuan joined Peking University in November 2020 and is currently an assistant professor at Center on Frontiers of Computing Studies, PKU. He received his Bachelor in theoretical physics from Peking University in 2012 and got his PhD in physics from Tsinghua University in 2016. Then he worked as a postdoc at Oxford University from 2017 to 2019 and at Stanford University from 2019 to 2020. His research interests focus on three aspects of quantum information science, including near-term and universal quantum computing, quantum foundation, and quantum cryptography.

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Until November 2020, he has published 49 journal papers (including 1 in Review of Modern Physics, 7 in Physical Review Letters, 2 in Physical Review X, 2 in Nature, 5 in NPJ Quantum Information, 1 in Quantum, 1 in Chemical Science, 1 in Optica, 1 in IEEE Transactions on Information Theory, 1 in Advanced Quantum Technologies, and 17 in Physical Review A, 1 in Physical Review Applied, 2 in Physical Review Research) and 11 Arxiv preprints. …


We present an approach to estimate 3D human pose from a monocular image. The method consists of two steps: it first estimates a 2D pose from an image and then recovers the corresponding 3D pose. This work focuses on the second step. The Graph Convolutional Network (GCN) has recently become the de facto standard for human pose related tasks such as action recognition. However, in this work, we show that it has critical limitations when used for 3D pose estimation due to the inherent weight sharing scheme. The limitations are clearly exposed through a more generic reformulation of GCN, in which both GCN and Fully Connected Network (FCN) are its special cases. In addition, on top of the formulation, we propose Locally Connected Network (LCN) to overcome the limitations of GCN by allocating dedicated rather than shared filters for different joints. We train the LCN network together with the 2D pose estimator such that LCN can be trained to handle inaccurate 2D poses. We evaluate our approach on two benchmarks, and observe that LCN outperforms GCN, FCN and the state-of-the-arts by a large margin. …


Autonomous part assembly is a challenging yet crucial task in 3D computer vision and robotics. Analogous to buying an IKEA furniture, given a set of 3D parts that can assemble a single shape, an intelligent agent needs to perceive the 3D part geometry, reason to propose pose estimations for the input parts, and finally call robotic planning and control routines for actuation. In this paper, we focus on the pose estimation subproblem from the vision side involving geometric and relational reasoning over the input part geometry. Essentially, the task of generative 3D part assembly is to predict a 6-DoF part pose, including a rigid rotation and translation, for each input part that assembles a single 3D shape as the final output. To tackle this problem, we propose an assembly-oriented dynamic graph learning framework that leverages an iterative graph neural network as a backbone. It explicitly conducts sequential part assembly refinements in a coarse-to-fine manner, exploits a pair of part relation reasoning module and part aggregation module for dynamically adjusting both part features and their relations in the part graph. …


The 6th Youth Forum on Frontiers of Computing was held successfully online from October 17th to October 18th, 2020 with 10 faculty candidates from world-known universities, e.g. MIT, University of Oxford, Stanford University, UC Berkeley, etc. being invited to talk about their studies. Dr. Feifei Li, Vice President of Alibaba Group, and Prof. Le Song from Georgia Institute of Technology were invited as keynote speakers.

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Baoquan Chen, Executive Director of CFCS, Peking University, chaired the forum. …


On August 6th, 2020, Xiaotie Deng, Boya Chair Professor from the Center on Frontiers of Computing Studies, Peking University is elected as a foreign member of Academia Europaea.

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Professor Deng’s current research focuses on algorithmic game theory, with applications to Internet Economics and Finance including sponsored search auction, p2p network’s economics such as BitTorrent network, sharing economics, and blockchain. His other works cover online algorithms, parallel algorithms, and combinatorial optimization. …


International Joint Conference on Theoretical Computer Science (IJTCS 2020) was successfully held online from August 17th to 22nd, 2020. Co-organized by Center on Frontiers of Computing Studies (CFCS), Peking University, China Society for Industrial and Applied Mathematics, China Computer Federation, and Association for Computing Machinery China Council, IJTCS 2020 hosted 7 forums with 71 public reports covering the fields of algorithmic game theory, blockchain, multi-agent reinforcement learning, theory of machine learning, quantum computing, machine learning and formal method, algorithm and complexity, which were live-streamed on two platforms 13 hours per day, attracting more than 100,000 views.

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Professor Xiaotie Deng at the Opening Ceremony

At the opening ceremony, Xiaotie Deng, general chair of IJTCS 2020 and chair professor of CFCS, Peking University welcomed everyone for participating the conference. Professor Deng shared the reason for initiating International Joint Conference on Theoretical Computer Science and hoped that through the conference all the attendants can generate new ideas, enhance communication and promote cooperation. …


Dr. Kuan Cheng joined Peking University in July 2020 and is currently an assistant professor at Center on Frontiers of Computing Studies, PKU. Previously he was a postdoc at University of Texas at Austin. He received his PhD in computer science from Johns Hopkins University in 2019. Before that he received his master degree in Tsinghua University and bachelor degree in Shandong University. His research interests mainly include computational models and complexity, pseudorandomness and coding. He is also interested in learning theory and networks. He has published many papers in top conferences of theoretical computer science such as FOCS, CCC, SODA, ICALP, TCC, etc. Major work of him focus on coding for edit distance and hamming distance, also derandomization for circuits and small space computation. …

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Center on Frontiers of Computing Studies, PKU

A new initiative at Peking University. More information: https://cfcs.pku.edu.cn/english/index.htm

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