Peng Han

PhD Student
​ Research Interests:  Recommendation System, Distributed Deep Learning​​

Research Interests

Computer vision, Recommendation System, Distributed Deep Learning​

Selected Publications

Selected Publications:

  1. GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization 
    Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis 
    KDD-2019 The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  2. AUC-MF: Point of Interest Recommendation with AUC Maximization 
    Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis 
    ICDE-2019 IEEE 35th International Conference on Data Engineering
  3. Detecting Thoracic Diseases via Representation Learning with Adaptive Sampling 
    Hao Wang, Yuan-Yuan Yang, Yang Pan, Peng Han, Zhong-Xiao Li, He-Guang Huang, Shun-Zhi Zhu 
    Neurocomputing-2019 Neurocomputing
  4. Graph-boosted convolutional neural networks for semantic segmentation 
    Guangzhen Liu, Peng Han, Yulei Niu, Wenwu Yuan, Zhiwu Lu, Ji-Rong Wen 
    IJCNN-2017 International Joint Conference on Neural Networks
  5. Large-scale sparse learning from noisy tags for semantic segmentation 
    Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen 
    Cybernetics-2017 IEEE Transactions on Cybernetics
  6. Segmentation with Selectively Propagated Constraints 
    Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu 
    ICONIP-2016 International Conference on Neural Information Processing
  7. Learning from weak and noisy labels for semantic segmentation 
    Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao 
    TPAMI-2016 IEEE Transactions on Pattern Analysis and Machine Intelligence
  8. Weakly supervised matrix factorization for noisily tagged image parsing 
    Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen 
    IJCAI-2015 IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. Semantic sparse recoding of visual content for image applications 
    Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen 
    TIP-2015 IEEE Transactions on Image Processing


  • B. E., Information and Computation Science, University of Science and Technology Beijing, 2010-2014
  • M. E., Computer Science, Renmin University of China, 2014-2017

Professional Profile

Peng Han is currently a Ph.D. candidate in Computer Science, at the King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He is under the supervision of Prof. Xiangliang Zhang. Prior to that, he was a Research Associate in the School of Computer Science and Engineering, Nanyang Technological University (NTU) under the supervision of Prof. Aixin Sun, Singapore. He received his M.E. in Computer Science from Renmin University of China (RUC) at BDAI lab (leaded by Prof. Ji-rong Wen) in 2017.


  • IJCAI-Alibaba Competation 2015
    • Predicted purchasers’ desire to purchase commodity via computer modeling;
    • Our team outstood as the 4th place among 753 teams from 258 colleges and 28 countries.
  • ImagNet Competition 2015 [Team Leader]
    • Our team was awarded 2nd place in the Object Detection from Video.