Wenwen Ye

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Tensor Factorization

Learning To Rank

Convergence Analysis

Semantic Matching

Top Venues

Publications

Wenwen Ye, Shengping Li
Convergence analysis of flow direction algorithm and its improvement. Soft Comput. 27 (20) (2023)
Wenwen Ye, Shengping Li
Convergence analysis of flow direction algorithm in continuous search space and its improvement. Math. Comput. Simul. 212 (2023)
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CoRR (2022)
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM (2022)
Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CIKM (2022)
Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
Aging Aware Retraining for Memristor-based Neuromorphic Computing. ISCAS (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR (2022)
Pengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin
MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification. ICDM (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS (2022)
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu
Generative Session-based Recommendation. WWW (2022)
Pengxiang Shi, Wenwen Ye, Zheng Qin
Self-Supervised Pre-training for Time Series Classification. IJCNN (2021)
Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
Counterfactual Review-based Recommendation. CIKM (2021)
Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni
Deep Random Forest with Ferroelectric Analog Content Addressable Memory. CoRR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Kun Xiong, Liu Jiang, Xuan Dang, Guolong Wang, Wenwen Ye, Zheng Qin
Towards Personalized Aesthetic Image Caption. IJCNN (2020)
Jia Cai, Guanglong Xu, Wenwen Ye
Modified Grey Wolf Optimizer based Maximum Entropy Clustering Algorithm. IJCNN (2020)
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR (2020)
Wenwen Ye, Zheng Qin, Zhuoye Ding, Dawei Yin
Game Recommendation Based on Dynamic Graph Convolutional Network. DASFAA (1) (2020)
Wenwen Ye, Zheng Qin, Xu Li
Deep Tag Recommendation Based on Discrete Tensor Factorization. ICONIP (1) (2018)
Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin
Probabilistic Local Matrix Factorization Based on User Reviews. AIRS (2017)
Wenwen Ye, Jiechang Wen
Adaptive Fireworks Algorithm Based on Simulated Annealing. CIS (2017)
Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin
A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. AIRS (2017)