Wenwu Ou

According to our database, Wenwu Ou authored at least 52 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LLM4PR: Improving Post-Ranking in Search Engine with Large Language Models.

Yang Yan, Yihao Wang, Chi Zhang, Wenyuan Hou, Kang Pan, Xingkai Ren, Zelun Wu, Zhixin Zhai, Enyun Yu, Wenwu Ou, Yang Song

CoRR, 2024

Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search.

Wentian Bao, Hu Liu, Kai Zheng, Chao Zhang, Shunyu Zhang, Enyun Yu, Wenwu Ou, Yang Song

CoRR, 2024

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.

Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou

CoRR, 2024

TIM: Temporal Interaction Model in Notification System.

Huxiao Ji, Haitao Yang, Linchuan Li, Shunyu Zhang, Cunyi Zhang, Xuanping Li, Wenwu Ou

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.

Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

CoRR, 2023

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.

Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

Query-dominant User Interest Network for Large-Scale Search Ranking.

Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Self-Propagation Graph Neural Network for Recommendation.

Wenhui Yu, Xiao Lin, Jinfei Liu, Junfeng Ge, Wenwu Ou, Zheng Qin

IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Learning with Calibrated Mixture of Insightful Experts.

Sinan Wang, Yumeng Li, Hongyan Li, Tanchao Zhu, Zhao Li, Wenwu Ou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba.

Xinyuan Qi, Kai Hou, Tong Liu, Zhongzhong Yu, Sihao Hu, Wenwu Ou

CoRR, 2021

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model.

Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou

CoRR, 2021

GRN: Generative Rerank Network for Context-wise Recommendation.

Yufei Feng, Binbin Hu, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

CoRR, 2021

Revisit Recommender System in the Permutation Prospective.

Yufei Feng, Yu Gong, Fei Sun, Qingwen Liu, Wenwu Ou

CoRR, 2021

Learning User Representations with Hypercuboids for Recommender Systems.

Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou

Proceedings of the WSDM '21, 2021

Towards Long-term Fairness in Recommendation.

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang

Proceedings of the WSDM '21, 2021

Explore User Neighborhood for Real-time E-commerce Recommendation.

Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.

Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Graph-based Regularization on Embedding Layers for Recommendation.

Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan Zhang

ACM Trans. Inf. Syst., 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

CoRR, 2020

Understanding Echo Chambers in E-commerce Recommender Systems.

Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.

Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation.

Wenhui Yu, Xiao Lin, Junfeng Ge, Wenwu Ou, Zheng Qin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Privileged Features Distillation at Taobao Recommendations.

Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA.

Gongqi Lin, Yuan Miao, Xiaoyong Yang, Wenwu Ou, Lizhen Cui, Wei Guo, Chunyan Miao

Proceedings of the 16th International Conference on Control, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.

Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.

Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Privileged Features Distillation for E-Commerce Recommendations.

Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Hanxiao Sun, Wenwu Ou

CoRR, 2019

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba.

Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou

CoRR, 2019

Compositional Network Embedding.

Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang

CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

CoRR, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.

Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Personalized re-ranking for recommendation.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Compositional network embedding for link prediction.

Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Exact-K Recommendation via Maximal Clique Optimization.

Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.

Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant.

Yu Gong, Xusheng Luo, Yu Zhu, Wenwu Ou, Zhao Li, Muhua Zhu, Kenny Q. Zhu, Lu Duan, Xi Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Automatic Generation of Chinese Short Product Titles for Mobile Display.

Yu Gong, Xusheng Luo, Kenny Q. Zhu, Wenwu Ou, Zhao Li, Lu Duan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Automatic Generation of Chinese Short Product Titles for Mobile Display.

Yu Gong, Xusheng Luo, Kenny Q. Zhu, Shichen Liu, Wenwu Ou

CoRR, 2018

Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant.

Yu Gong, Xusheng Luo, Kenny Q. Zhu, Xi Chen, Wenwu Ou

CoRR, 2018

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning.

Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.

Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search.

Tao Zhuang, Wenwu Ou, Zhirong Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

JUMP: a Jointly Predictor for User Click and Dwell Time.

Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Alternating Multi-bit Quantization for Recurrent Neural Networks.

Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha

Proceedings of the 6th International Conference on Learning Representations, 2018

Multi-Source Pointer Network for Product Title Summarization.

Fei Sun, Peng Jiang, Hanxiao Sun, Changhua Pei, Wenwu Ou, Xiaobo Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Predicting Online Shopping Search Satisfaction and User Behaviors with Electrodermal Activity.

Yingying Wu, Yiqun Liu, Ning Su, Shaoping Ma, Wenwu Ou

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cascade Ranking for Operational E-commerce Search.

Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017