Changying Du           杜长营

Principal Researcher, Huawei Noah's Ark Lab
No.3, Information Road, Haidian District, Beijing, China ,   (expiring)

Before joining Huawei, I received my Ph.D. in 2015 and became an associate professor in 2017, both at Chinese Academy of Sciences (CAS). Our recent work focuses on Probabilistic Machine Learning, Multimedia Analysis, Recommender & Retrieval, addressing the high-dimensional, noisy, incomplete, and multimodal data challenges.

Research Papers Books Career Awards Students Services

   Research Interests Top   

  • Fields: Machine learning, Bayesian analysis, Semisupervised learning, Multi-view/modal learning, Cross-modal/domain learning, Graph learning & reasoning, Adversarial/reinforced learning, Multitask/transfer/meta learning, Online learning, Multi-label learning, Partial label and PU learning

  • Models: Latent variable models, Deep generative models, Variational autoencoders, Generative adversarial nets, Normalizing flow, Probabilistic graphical models, Markov random fields, Topic models, Dirichlet process mixtures, Hierarchical Dirichlet processes, Gaussian processes, CNNs, RNNs, GCNs

  • Techniques: Approximate Bayesian inference, Variational methods, Expectation maximization, MCMC and Gibbs sampling, Posterior regularization, Stochastic back-propagation, Max-margin and kernel methods, Matrix/tensor factorization, Bayesian dropout/pruning

  • Applications: Web-user interaction, Multimedia analysis, Recommender systems, Information retrieval and extraction, Human-computer interaction, Neural decoding, Visual reconstruction, Distributed data mining

   Selected Papers Top   







2013 and before

   English Book Translations Top   

   Career and Education Top   

   Honours and Awards Top   

  • Innovation pioneer of Huawei academia sinica, Huawei Technologies, 2019

  • Best Paper Award Runner-Up of ICME 2019

  • Instant Incentive Award for the "Scene-aware AI Poet" project, Qihoo 360 Search, 2018

  • MIT Technology Review, Daily Mail and CAS News reported our neural decoding work, May 2017

  • Outstanding Ph.D. Dissertation, Institute of Computing Technology, CAS, 2015

  • Inspur Outstanding Ph.D. Scholarship, Institute of Computing Technology, CAS, 2015

  • Excellent Student, University of CAS, in 2014, 2013 and 2011

  • Award from China Scholarship Council for one year abroad study, 2013

  • Student Travel Award of ICDM 2012

  • President's Scholarship, Institute of Computing Technology, CAS, 2011

   Co-supervised Students Top   

  • Changde Du, my young brother, who receives his Ph.D. from the Institute of Automation, CAS in 2019. He was elected as one of the Top 40 for the Baidu Scholarship in 2017, and won the National Ph.D. Scholarship of China and the President's Scholarship of CAS in 2018 and 2019 respectively.

  • Jia He, my junior sister apprentice, who got Ph.D. from the Institute of Computing Technology, CAS in 2019.

  • Siqi Deng, engineer at Alibaba AI labs, who got her master degree from Institute of Software, CAS in 2017.

  • Xingyu Xie, a Ph.D. student of Peking University, who interned at our lab.

  • Weiping Song, a Ph.D. student of Peking University, who is interning at our lab.

  • Hengliang Wang, a Ph.D. student of Peking University, who interned at our lab.

  • Xinyi Yu, a master student of the University of Wisconsin–Madison.

   Professional Services Top   

  • Review Expert of   National Natural Science Foundation of China

  • Reviewer of   IEEE TKDE,   IEEE TCYB,   CVIU,   Neurocomputing,   Knowledge-Based Systems

  • Program Committee Member / Reviewer of   NeurIPS 2020,   AAAI 19-21,   IJCAI 18-20,   KDD 16-18

Last Modified on Aug. 14, 2020.   All rights reserved by Changying Du.