Wenhao Zheng
Orcid: 0000-0001-8227-8820Affiliations:
- Alibaba Group, Hangzhou, China
- Nanjing University, National Key Laboratory for Novel Software Technology, China (PhD 2015)
According to our database1,
Wenhao Zheng
authored at least 15 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
2022
2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
CoRR, 2020
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol., 2019
CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci., 2019
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018
2017
The best answer prediction by exploiting heterogeneous data on software development Q&A forum.
Neurocomputing, 2017
CoRR, 2017