Wenhao Zheng

20 papers A* 4A 2Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems.
CoRR
Zhijian Feng, Wenhao Zheng, Xuanji Xiao
2023 — conf
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.
ECML/PKDD (5)
Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng
2023 J jnl
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.
CoRR
Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng
2023 J jnl
Knowledge Soft Integration for Multimodal Recommendation.
CoRR
Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang
2023 A conf
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.
RecSys
Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
2023 J jnl
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.
CoRR
Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
2022 J jnl
PNM: Pixel Null Model for General Image Segmentation.
CoRR
Han Zhang, Zihao Zhang, Wenhao Zheng, Wei Xu
2020 J jnl
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution.
CoRR
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
2020 A* conf
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution.
AAAI
Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li
2020 A* conf
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
WWW
Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
2020 J jnl
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework.
CoRR
Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
2020 A conf
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
BMVC
He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
2020 J jnl
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
CoRR
He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip S. Yu
2020 A* conf
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings.
ICDE
Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang, Yue Wang, Xun Jian, Lei Chen, Qiang Yan, Tiezheng Mao
2019 J jnl
CodeAttention: translating source code to comments by exploiting the code constructs.
Frontiers Comput. Sci.
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2019 J jnl
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol.
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
2019 A* conf
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially.
AAAI
Yudong Zhang, Wenhao Zheng, Ming Li
2018 J jnl
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR
Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2017 J jnl
Code Attention: Translating Code to Comments by Exploiting Domain Features.
CoRR
Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu
2017 J jnl
The best answer prediction by exploiting heterogeneous data on software development Q&A forum.
Neurocomputing
Wenhao Zheng, Ming Li