大Z，Meta/Facebook人工智能研究院研究员及高级经理，研究方向为深度强化学习，表示学习和优化。曾获得2021年国际机器学习大会（ICML）杰出论文奖提名（Outstanding Paper Honorable Mentions)，及2013年国际计算机视觉大会（ICCV）马尔奖提名（Marr Prize Honorable Mentions）。 2013-2014年在Google无人驾驶团队任软件工程师。2005年及08年于上海交通大学获本硕学位，2013年于美国卡耐基梅隆大学机器人研究所获博士学位，围棋开源项目ELF OpenGo项目中研究及工程负责人和第一作者。

I am a Professor in the Department of Computer Science and Engineering, and the Director of the Center for Innovation, Technology, and Aging at the University of South Florida (Assistant Professor 2009-2015, Associate Professor 2015-2020, Associate Chair of Graduate Affairs 2018-2020). I was a Visiting Associate Professor at Stanford University from 2016 to 2017. I received his Ph.D. degree in Computer Science from the University of Utah in 2007. Then I had his Postdoctoral training at Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA (2007-2008) and the University of Utah (2008-2009). I initiated the IEEE RAS Technical Committee on Robotic Hands, Grasping, and Manipulation and served as its first co-Chair. I have also served on several editorial boards as an Associate Editor and Senior Editor, including IEEE Transactions on Robotics, IEEE Robotics and Automation Letters (RA-L), ICRA, and IROS.

My research interests are in robotics, machine learning and applied nonlinear control. They encompass robot learning and control, object grasping and manipulation, human-robot interaction, robotic hand and tactile sensing, and neuroscience. I am particularly interested in finding the deep connections between dynamics of intelligent systems and learning algorithms (learning from humans or from optimizations), which enables adaptive, efficient and robust control design for complex systems. The goal of my research is to enable robots to perform skills with the level of dexterity and flexibility that humans demonstrate in similar tasks. I am also particularlly interested in finding the novel application of robotic grasping and manipulation in the real world. Short Bio: Before joining Wuhan University as an associate professor, I was a PhD student at the Learning Algorithms and Systems Laboratory (LASA) at EPFL in Switzerland, with Professor Aude Billard, working on dynamic grasp adaptation- from humans to robots. Before that, I spent several years of my undergraduate and graduate studies at Huazhong University of Science and Technology, China.

Yang Yu is a Professor in the School of Artificial Intelligence, Nanjing University, China. His research interest is in machine learning, focusing on real-world reinforcement learning and general intelligence for decision-making. He has published more than 40 papers in Artificial Intelligence, TPAMI, TKDE, NeurIPS, IJCAI, AAAI, KDD, etc. He has been granted several conference best paper awards including IDEAL'16, GECCO'11 (theory track), PAKDD'08, etc. He was in the Champion Team of 2021 ICAPS L2RPN Challenge with Trust, 2018 OpenAI RetroContest, and the Grand Champion Team of PAKDD 2006 Data Mining Competition. He received CCF-IEEE Early Career Award in 2020, was recognized as one of the “AI’s 10 to Watch” by IEEE Intelligent Systems in 2018, and received the PAKDD Early Career Award in 2018. He was invited to give an Early Career Spotlight Talk in IJCAI'18. He has served as an Area Chair of NeurIPS, IJCAI, AAAI, and ACML for multiple years. He was a Publicity Co-chair of IJCAI'16/17 and IEEE ICDM'16; a Workshop Co-chair of ACML'16 and PRICAI’18. He co-founded the International Conference on Distributed Artificial Intelligence (DAI) and the Asian Workshop on Reinforcement Learning (AWRL).