Zhenguo Li Director, AI Theory Lab Principal Researcher, Noah's Ark Lab Huawei Technologies E-mail: li.zhenguo AT huawei.com, zhenguol AT gmail.com

The AI Theory Lab (of Huawei Noah's Ark Lab) is hiring:

• Topics (not limited to): Meta-Learning, Reinforcement learning, Deep learning
• Responsibilities: Conduct fundamental research in machine learning, publish at top machine learning venues (NIPS, ICML, ICLR), and deliver to high-impact projects
• Qualifications: Ph.D. in computer sciences, statistics, mathematics, or equivalent experience
• Locations: Hong Kong, Shenzhen, Beijing, London
• Contact E-mail: li.zhenguo AT huawei.com

About

Before joining Huawei Noah's Ark lab, I was an associate research scientist in the department of electrical engineering, Columbia University, working with Prof. Shih-Fu Chang. I received BS and MS degrees in mathematics at Peking University, and PhD degree in machine learning at The Chinese University of Hong Kong, advised by Prof. Xiaoou Tang. My current research interests include machine learning and its applications.

Pre-prints

• Federated Meta-Learning for Recommendation, arXiv 22 Feb 2018.
  Fei Chen, Zhenhua Dong, Zhenguo Li, Xiuqiang He.
  
• Deep Meta-Learning: Learning to Learn in the Concept Space, arXiv 10 Feb 2018.
  Fengwei Zhou, Bin Wu, Zhenguo Li.
  
• Meta-SGD: Learning to Learn Quickly for Few-Shot Learning, arXiv 31 Jul 2017.
  Zhenguo Li, Fengwei Zhou, Fei Chen, Hang Li.
  

Publications

• MOSS-5: A Fast Method of Approximating Counts of 5-Node Graphlets in Large Graphs, IEEE Trans. on Knowledge and Data Engineering, 2017.
  Pinghui Wang, Junzhou Zhao, Xiangliang Zhang, Zhenguo Li, Jiefeng Cheng, John C.S. Lui, Don Towsley, Jing Tao, Xiaohong Guan.
  
• Graph Edge Partitioning via Neighborhood Heuristic, KDD 2017 (oral presentation).
  Chenzi Zhang, Fan Wei, Qin Liu, Zhihao Tang, Zhenguo Li.
  
• DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, IJCAI 2017.
  Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He.
  
• A Graph-Based Push Platform, DASFAA 2017 (industrial track).
  Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He.
  
• PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition, CIKM 2016.
  Qin Liu, Zhenguo Li, John C.S. Lui, Jiefeng Cheng.
  
• Counting Triangles in Large Graphs by Random Sampling, IEEE Trans. on Knowledge and Data Engineering, 2016.
  Bin Wu, Ke Yi, Zhenguo Li.
• VENUS: A System for Streamlined Graph Computation on a Single PC, IEEE Trans. on Knowledge and Data Engineering, 2016.
  Qin Liu, Jiefeng Cheng, Zhenguo Li, John C.S. Lui.
  
• Walking in the Cloud: Parallel SimRank at Scale, PVLDB 2016.
  Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, and John C.S. Lui.
• New Insights into Laplacian Similarity Search, CVPR 2015. [Supp]
  Xiao-Ming Wu, Zhenguo Li, and Shih-Fu Chang.
• VENUS: Vertex-Centric Streamlined Graph Computation on a Single PC, ICDE 2015.
  Jiefeng Cheng, Qin Liu, Zhenguo Li, Wei Fan, John C.S. Lui, and Cheng He.
• Piecewise Linear Approximation of Streaming Time Series Data with Max-error Guarantees, ICDE 2015.
  Ge Luo, Ke Yi, Siu-Wing Cheng, Zhenguo Li, Wei Fan, Cheng He, and Yadong Mu.
• Efficient semantic image segmentation with multi-class ranking prior, Computer Vision and Image Understanding, vol. 120, pp. 81-90, 2014.
  Deli Pei, Zhenguo Li, Rongrong Ji, and Fuchun Sun.
• Locally Linear Hashing for Extracting Non-Linear Manifolds, CVPR 2014. [Supp]
  Go Irie, Zhenguo Li, Xiao-Ming Wu, and Shih-Fu Chang.
• Analyzing the Harmonic Structure in Graph-Based Learning, NIPS 2013. [Supp] [Code]
  Xiao-Ming Wu, Zhenguo Li, and Shih-Fu Chang.
• A Bayesian Approach to Multimodal Visual Dictionary Learning, CVPR 2013.
  Go Irie, Dong Liu, Zhenguo Li, and Shih-Fu Chang.
• Learning with Partially Absorbing Random Walks, NIPS 2012. [Supp] [Code]
  Xiao-Ming Wu, Zhenguo Li, Anthony Man-Cho So, John Wright, and Shih-Fu Chang.
• Submodular Video Hashing: A Unified Framework Towards Video Pooling and Indexing, ACM Multimedia 2012.
  Liangliang Cao, Zhenguo Li, Yadong Mu, and Shih-Fu Chang.
• Segmentation Using Superpixels: A Bipartite Graph Partitioning Approach, CVPR 2012. [Project] [Code]
  Zhenguo Li, Xiao-Ming Wu, and Shih-Fu Chang.
• Identification of fluid and substrate chemistry based on automatic pattern recognition of stains, Analytical Methods, vol. 4, no. 1, pp. 50-57, 2012.
  Namwon Kim, Zhenguo Li, Cedric Hurth, Frederic Zenhausern, Shih-Fu Chang, and Daniel Attinger.
• Modeling Scene and Object Contexts for Human Action Retrieval with Few Examples, IEEE Trans. on Circuits and Systems for Video Technology, vol. 21, no. 5, pp. 674-681, 2011.
  Yu-Gang Jiang, Zhenguo Li, and Shih-Fu Chang.
• Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming, NIPS 2009. [Code]
  Xiao-Ming Wu, Anthony Man-Cho So, Zhenguo Li, and Shuo-Yen Robert Li.
• Constrained Clustering by Spectral Kernel Learning, ICCV 2009.
  Zhenguo Li and Jianzhuang Liu.
• Constrained Clustering via Spectral Regularization, CVPR 2009. [Code]
  Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang.
• Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification, ICML 2008.
  Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang.
• Plane-Based Optimization for 3D Object Reconstruction from Single Line Drawings, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30, no. 2, pp. 315-327, 2008.
  Jianzhuang Liu, Liangliang Cao, Zhenguo Li, and Xiaoou Tang.
• Noise Robust Spectral Clustering, ICCV 2007.
  Zhenguo Li, Jianzhuang Liu, Shifeng Chen, and Xiaoou Tang.
• A Closed-form Solution to 3D Reconstruction of Piecewise Planar Objects from Single Images, CVPR 2007.
  Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang.
• Image Matting Using Linear Optimization, ACM Multimedia 2007 (short paper).
  Shifeng Chen, Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang.
• Shape from Regularities for Interactive 3D Reconstruction of Piecewise Planar Objects from Single Images, ACM Multimedia 2006 (short paper).
  Zhenguo Li, Jianzhuang Liu, and Xiaoou Tang.