I am interested in teaching engineers business, and entrepreneurship. Bioinspired Sensors and Neuromorphic Sensing. Title. Security Programming Language Deep Learning. Try again later. He also specializes in education of technology entrepreneurship. Sort by citations Sort by year Sort by title.
Undergraduate studies in the Department of Precision Engineering and Mechatronics, Technology Commercialization, Entrepreneurship. I am currently a researcher at Microsoft Research Asia, Machine Learning Group, headed by Tao Qin starting from 2019.
Beijing, China. degree in 2014 from the Department of Physics of Tsinghua University. Email: liuchangsmail at gmail dot com CityFlow A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario; [Google Scholar] [Paper & Appendix] Understanding and Accelerating Particle-Based Variational Inference. He won the NSF Career Award in 1997, and was elected Fellow of IEEE in 2010. Chang has 6 jobs listed on their profile. I also visited Prof. Lawrence Carin's group at Duke University from Oct. 2017 to Oct. 2018. Chang Liu*, Huichu Zhang*, Weinan Zhang, Guanjie Zheng, Yong Yu. ECML-PKDD, 2020. Outstanding Ph.D. Graduate, Department of Computer Science and Technology, 2019. One Approach is to build biomimetic systems. Assistant and then Associate Professor (with tenure) in the department of Electrical and Computer Engineering (ECE) and Mechanical and Industrial Engineering (MIE). Artists use one year long create a series of visualization of solar terms based on each term’s climate features, agricultural transitions and cultural contexts. [GitHub] Artist Liu Chang uses Processing (an open source programming tool) as her tool to create the 24 different dynamic patterns.
chang-li14 at mails dot tsinghua dot edu dot cn. All engineers should learn some business.
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Chang Liu, Jingwei Zhuo, and Jun Zhu. CIKM, 2020. Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, and Lawrence Carin. University of Illinois at Urbana-Champaign. Liu has 6 jobs listed on their profile. His IEEE Fellow was based on the citation "for contributions to bioinspired and polymer micro electro-mechanical systems". He also specializes in education of technology entrepreneurship. Graduate work in the Electrical Engineering division. Their, This "Cited by" count includes citations to the following articles in Scholar. Outstanding Doctoral Dissertation, Tsinghua University, 2019. I received my B.Sc. My research interests are primarily on statistical machine learning, especially general Bayesian inference methods (e.g., variational inference and MCMC), their collaboration with manifold structures, and their applications in Bayesian deep learning and large scale learning tasks. He won the NSF Career Award in 1997, and was elected Fellow of IEEE in 2010. Sort. International Conference on Machine Learning (ICML), 2019. View Liu Chang’s profile on LinkedIn, the world's largest professional community. Quant Researcher, Citadel Securities. Chang Liu. [Semantic Scholar], Department of Computer Science and Technology, Variance Reduction and Quasi-Newton for Particle-Based Variational Inference, Understanding MCMC Dynamics as Flows on the Wasserstein Space, Understanding and Accelerating Particle-Based Variational Inference, Variational Annealing of GANs: A Langevin Perspective, Straight-Through Estimator as Projected Wasserstein Gradient Flow, Message Passing Stein Variational Gradient Descent, Riemannian Stein Variational Gradient Descent for Bayesian Inference, Stochastic Gradient Geodesic MCMC Methods, A Study on Efficient Bayesian Inference Methods Using Manifold Structures, Sampling Methods on Manifolds and Their View from Probability Manifolds, Maximum Entropy Discrimination Latent Dirichlet Allocation with Determinantal Point Process Prior, Statistical-Mechanics-Related Concepts in Machine Learning, Hamiltonian Monte Carlo on Riemannian Manifolds, Introduction to MCMC and Hamiltonian Monte Carlo, Duke-Tsinghua Machine Learning Summer School, Tsinghua University Symphonic Band (THUMB). Full professor with tenure in Mechanical Engineering and Electrical Engineering. © 2020 by Chang Liu. Before that, I received my Ph.D. degree in 2019 from the TSAIL Group at the Department of Computer Science and Technology of Tsinghua University, supervised by Prof. Jun Zhu.
View Chang Liu’s profile on LinkedIn, the world's largest professional community. 5 Danling Street Tsinghua Asia-Pacific President Federation Scholarship, 2011. Nature offers the best sensors in the world. I want to study them.
Chang has 5 jobs listed on their profile. View Chang Liu’s profile on LinkedIn, the world's largest professional community. Articles Cited by Co-authors. He has published a textbook with Pearson "Foundations of MEMS" and two texts with Tsinghua University Press on entrepreneurship and lab-market technology transfer. For that purpose, I wrote two books, left academia (perhaps temporarily) and formed a company to explore. Proudly created with Wix.com, or contributions to bioinspired and polymer micro electro-mechanical systems, Investigation of micro machined sensors and actuators for fluid mechanics applications. Microsoft Research Asia Prof. Chang Liu works in the Sensors and MEMS research area with 30 years of experiences in both research and commercialization. The following articles are merged in Scholar.