Wenwu Ou

Orcid: 0009-0004-2437-6835

According to our database1, Wenwu Ou authored at least 51 papers between 2017 and 2024.

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Bibliography

2024
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search.
CoRR, 2024

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
CoRR, 2024

TIM: Temporal Interaction Model in Notification System.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.
CoRR, 2023

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Query-dominant User Interest Network for Large-Scale Search Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Self-Propagation Graph Neural Network for Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Multi-Task Learning with Calibrated Mixture of Insightful Experts.
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.
CoRR, 2021

End-to-End User Behavior Retrieval in Click-Through RatePrediction Model.
CoRR, 2021

GRN: Generative Rerank Network for Context-wise Recommendation.
CoRR, 2021

Revisit Recommender System in the Permutation Prospective.
CoRR, 2021

Learning User Representations with Hypercuboids for Recommender Systems.
Proceedings of the WSDM '21, 2021

Towards Long-term Fairness in Recommendation.
Proceedings of the WSDM '21, 2021

Explore User Neighborhood for Real-time E-commerce Recommendation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Graph-based Regularization on Embedding Layers for Recommendation.
ACM Trans. Inf. Syst., 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.
CoRR, 2020

Understanding Echo Chambers in E-commerce Recommender Systems.
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.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Privileged Features Distillation at Taobao Recommendations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA.
Proceedings of the 16th International Conference on Control, 2020

EdgeRec: Recommender System on Edge in Mobile Taobao.
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.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Privileged Features Distillation for E-Commerce Recommendations.
CoRR, 2019

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba.
CoRR, 2019

Compositional Network Embedding.
CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.
CoRR, 2019

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.
CoRR, 2019

Value-aware Recommendation based on Reinforcement Profit Maximization.
Proceedings of the World Wide Web Conference, 2019

Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Personalized re-ranking for recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Compositional network embedding for link prediction.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Exact-K Recommendation via Maximal Clique Optimization.
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.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Automatic Generation of Chinese Short Product Titles for Mobile Display.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Automatic Generation of Chinese Short Product Titles for Mobile Display.
CoRR, 2018

Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant.
CoRR, 2018

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning.
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.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

JUMP: a Jointly Predictor for User Click and Dwell Time.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Alternating Multi-bit Quantization for Recurrent Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Multi-Source Pointer Network for Product Title Summarization.
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.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cascade Ranking for Operational E-commerce Search.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017


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