Wenhao ZhengAlgorithm EngineerHangzhou Laifeng Technology Co., Ltd Email Address: zwh149850 at alibaba-inc dot com |
Bio
- I am a Algorithm Engineer at Hangzhou Laifeng Technology Co., Ltd. I recently graduated from Nanjing University. My supervisor is Professor. Ming Li.
- I am interested in Data Mining. Currently I am focusing on the subfields of Deep Learning, Recommendation System, Graph Embedding, Distributed Machine Learning and Machine Translation. Nowadays, I am mainly responsible for video recommendation on Youku.
Publications
Han Zhang, Wenhao Zheng, Charley Chen, et al. Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework The International World Wide Web Conference, 2020.(oral) |
Shu-ting Shi, Wenhao Zheng, Jun Tang, et al. Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution The 34th AAAI Conference on Artificial Intelligence, 2020. [PDF] |
Zijian Li, Wenhao Zheng, Xueling Lin, et al. TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings The International Conference on Data Engineering, 2020. (oral) [PDF] |
Yudong Zhang, Wenhao Zheng, Ming Li Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially The 33rd AAAI Conference on Artificial Intelligence, 2019. [PDF] |
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, XiaoLong Li, Zhi-Hua Zhou Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud ACM Transactions on Intelligent Systems and Technology, 2019. [PDF] |
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu CodeAttention: Translating Source Code to Comments by Exploiting the Code Constructs Frontiers of Computer Science, 2018. [data] |
Wenhao Zheng, Ming Li The best answer prediction by exploiting heterogeneous data on software development Q&A forum. Neurocomputing, 2017 [PDF] |