Linfeng Zhang received his B.S degree in computer science from Northeastern University (Shenyang, China) in 2019. He is currently pursuing his Ph.D. degree under the supervision of Prof. Kaisheng Ma at Institute for Interdisciplinary Information Sciences, Tsinghua University. His research interest includes the compression and acceleration of deep learning models such as knowledge distillation and dynamic neural networks. He is also interested in the design of high-robustness neural networks and computer vision. His papers have been published in top AI conferences such as NeurIPS2019 and ICCV2019.

Zhongfan Jia is now pursuing his Ph.D. degree in ARChip Lab brain-inspired algorithms team, IIIS, Tsinghua University, from 2020. He obtained his bachelor’s degree from Computer Science and Technology at school of Electronics Engineering and Computer Science, Peking University. He has a mixed background in both algorithm and computer architecture. His research direction is to explore bio-inspired subhuman AI algorithms and design brand-new suitable architectures. Now he is working on bio-inspired and brain-mimic algorithms about robust recognition, fast learning, and controllable forgetting.

Yukang Shi joined ARChip Lab for Ph.D. degree from Aug. 2019. She is one of the first Yao Class students in Xi’an Jiaotong University Yao Class. She got her bachelor’s degree also from Xi’an Jiaotong University. She won awards in different contests such as Mathematical Contest in Modeling and "Challenge Cup" National College Student Curricular Academic Science and Technology Works Competition. She received the National Scholarship and National Inspirational Scholarship from 2016 to 2019. Her current research focuses on the explanation of knowledge distillation, and her broader research interests include point cloud and autonomous driving.

Tan Sia Huat was born in Sarawak, Malaysia. He received his B.S. degree in Computer Science and Information Engineering from National Cheng Kung University in 2019. He received a full scholarship from school during the whole period of undergraduate. He is currently pursuing M.S. degree at Tsinghua University in China with a full Chinese Government Scholarship. His current research focuses on deep learning algorithm and robustness of deep learning models.

Kailu Wu is now an undergraduate at IIIS, Tsinghua University. He was born in Chengdu, Sichuan Province, China. He had some experience in algorithm design and won the gold medal of NOI2017. His current research focuses on neural networks robustness, interpretability, domain adaptation, and he has a wide range of interests about AI.

Shaokai Ye, a researcher at Institute for Interdisciplinary Information Core Technology under Prof. Kaisheng Ma’s supervision. He obtained his Master’s degree at Syracuse University and Bachelor’s degree at Saint Louis University both in computer engineering. His research interest is to make neural networks efficient, robust and less dependent on large amount of data. He published papers in top-tier AI Computer Vision conferences, like ECCV 2018, and ICCV2019.

Jan-Henrik Lambrechts is a first-year PhD student in Computer Science, IIIS department, Tsinghua University, advised by Prof. Kaisheng Ma. Before that, he obtained a Bachelor in Commercial Engineering (MIS) degree at Leuven University. His research interests are situated in the area of Machine Intelligence for Computer Vision. More specifically, he works on developing more efficient and robust architectures / training procedures for Deep Convolutional Neural Networks.

Hongyang Chen is currently pursuing Ph.D. degree in ARChip Lab under the guidance of Prof. Kaisheng Ma, in Xi’an Jiaotong University Yao Class. He received his B.S. degree from Chang'an University, China in 2020, where he ranked first at the Department of Computer Science and was awarded a number of prizes, including the National Scholarship. His research interests include precision, speed, and robust trade-off for general object detection, the robustness and interpretability of the model, especially the detection of frame drops caused by natural factors in reality and the adversarial attacks.

Muzhou Yu is currently pursuing the Ph.D. degree in Computer Science and Technology at Xi’an Jiaotong University Yao Class. He studied automation during his bachelor’s degree in Northeastern University, China from 2016 to 2020. During his stay in Northeastern University, he was awarded the ‘National scholarship’ for three times and has published papers on the CCC etc. in 2019 and won the first prize in International University Mathematical Modeling Competition. Since 2019, he has joined ARChip Lab as an AI Algorithms team member under the supervision of Prof. Kaisheng Ma. He has a broad interest in AI.

Chia-Chi Chuang received double B.S degrees in Mathematics and Computer Science from National Tsing Hua University, Taiwan, in 2019. He joined Prof. Ma’s research group in Tsinghua University, Beijing as a master student. His current research focuses on the point cloud classification, point cloud segmentation and model compression.

Tong Chen is an undergraduate in Institute for Interdisciplinary Information Sciences (IIIS, Yao Class), Tsinghua University, and is now in his second year. He participated in many programming competitions and had some hand-on projects experiences on computer vision as an intern before entering the university. He joined the ARChip Lab in the autumn of 2019 and participated in the research on the robustness of deep neural networks. His current research focuses on knowledge distillation and three-dimensional point clouds.

Zhanhong Tan is currently pursuing Ph.D. at Institute for Interdisciplinary Information Sciences (IIIS) in Tsinghua University, Beijing. He received his B.S. degree at School of Electronics and Information Technology from Sun-Yat Sen University, Guangzhou, in 2019. During his bachelor period, he was in top-3 on his major ranking and received the National Scholarship. His research interests are computer architecture, hardware-software co-design for neural networks computation, and chip design for edge AI applications, especially for the self-driving scenario. His first paper is accepted by DAC 2020.

Yifu Wu received his B.S. degree in Mechanical design from Xidian University in 2013 and M.S. degrees at Institute of micro-electronics in 2016. He is solid in integrated circuit design and verification. He joined ARChip-lab of Institute for Interdisciplinary Information Core Technology in 2019. His current work focuses on design and verification of Autopilot-AI chips.

Wuke Zhang received his B.S. and M.S. degree at Institute of micro-electronics from Xidian University, Xi'an, in 2013 and 2016. He has been working on integrated circuit design and verification since 2016 when he started his career and has abundant experience in this field. He joined ARChip-lab of IIISCT in 2019, and he is responsible for the design and verification of AI chips. He has been involved in two projects so far.

Tan Zhong received the B.S degree in Measurement-Control Technology and Instrumentation from Northwestern Polytechnical University in 2014. He has been working on embedded hardware system design. He joined ARChip Lab of IIISCT (Institute for Interdisciplinary Information Core Technology) in 2020, and his main work is board level verification of AI chips and hardware application of algorithms.

Junchao Zhang received a bachelor degree from Chang'an University, Xi'an, in 2013. He has been working on embedded software since 2013 and has extensive experience in embedded domain. His main work in IIISCT in imbedded group is hardware and software development, including development based on Xilinx's ZYNQ SOC and FPGA platforms, applications for chip testing, and autonomous driving system prototypes.

Yannian Zhang received the B.S degree in automation and M.S degree in microelectronics from Xidian University, Xi'an, China in 2016. He has been concentrating on integrated circuit design and verification since his graduation in 2016 and has a wealth of experience in this field. He joined ARChip Lab in 2019, where he is in charge of the design and verification of AI chips in the group. His current research interests are AI chips architecture, design and verification.

Enbiao Lin received his M.S. degree from Northwest University (Xi'an, China) in 2013. He has been working on FPGA design and digital IC verification since 2013. He joined ARChip Lab of IIISCT (Institute for Interdisciplinary Information Core Technology) in 2020, and his main work in the team is the EDA verification and FPGA prototype verification. He is also interested in script and IC development process.

Dehui Li received his B.S. and M.S. degrees from Xidian University, Xi'an, in 2010 and 2013. He has been working on integrated circuit design and verification since 2013 and has extensive experience in this field. He joined ARChip-lab of IIISCT (Institute for Interdisciplinary Information Core Technology) in 2019, and his main work in the group is the verification of AI chips.

Yinxiao Feng is now pursing his Ph.D. degree in IIIS, Tsinghua University. During his Bachelor’s degree in Shanghai JiaoTong University, he majored in Information Engineering (AI direction) and a double degree in Mathematics and Applied Mathematics. He was also a member of Zhiyuan Honors Program of Engineering, which consists of the top 5% students of all engineering students at SJTU. During his undergraduate years, he won many distinctive awards and honors, including national scholarship. He has a mixed background and experiences in materials, devices, circuits, algorithms, and hardware. He even has experience of clean room fabrication. He is now participating a team in ARChip Lab, inventing a next-generation single cell level human machine interface.

Qichao Ma received his B.S. degree in Telecommunications form XiDian University in 2015 and M.S. degree in Electronics from Polytech Nice Sophia, France in 2018. In 2018, he has worked on IC design as an intern in Ethertronics SAS France for six months. Since 2019, He has joined ARChip lab to conduct research on Silicon Neural Component Dust. His current research focuses on ultrasound imaging, backscattering communication, energy harvesting and radio frequency integrated circuit design for energy harvesting and backscattering communication.