Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.

[BibT_eX]

[DOI]

Chao Wen

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Joint Optimization of Ad Ranking and Creative Selection.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sustainable Online Reinforcement Learning for Auto-bidding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pretraining Representations of Multi-modal Multi-query E-commerce Search.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System.

[BibT_eX]

[DOI]

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

Control-based Bidding for Mobile Livestreaming Ads with Exposure Guarantee.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Visual Encoding and Debiasing for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchically Constrained Adaptive Ad Exposure in Feeds.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising.

[BibT_eX]

[DOI]

CoRR, 2021

Computation Resource Allocation Solution in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Unified Solution to Constrained Bidding in Online Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Impression Allocation and Policy Search in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Binary Code based Hash Embedding for Web-scale Applications.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.

[BibT_eX]

[DOI]

CoRR, 2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.

[BibT_eX]

[DOI]

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

Calibrating User Response Predictions in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Optimal Tree Models under Beam Search.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Infer User Hidden States for Online Sequential Advertising.

[BibT_eX]

[DOI]

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

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction.

[BibT_eX]

[DOI]

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

Sequential Advertising Agent with Interpretable User Hidden Intents.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bid Optimization by Multivariable Control in Display Advertising.

[BibT_eX]

[DOI]

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

Learning Adaptive Display Exposure for Real-Time Advertising.

[BibT_eX]

[DOI]

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

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.

[BibT_eX]

[DOI]

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

2018

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising.

[BibT_eX]

[DOI]

CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.

[BibT_eX]

[DOI]

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

Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising.

[BibT_eX]

[DOI]

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

2016

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Lift-Based Bidding in Ad Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Smart Pacing for Effective Online Ad Campaign Optimization.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Privacy Protection in Personalized Web Search: A Peer Group-Based Approach.

[BibT_eX]

[DOI]

Bin Zhou

Jian Xu

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

2007

Maintaining K-Anonymity against Incremental Updates.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

2006

Utility-based anonymization for privacy preservation with less information loss.

[BibT_eX]

[DOI]

SIGKDD Explor., 2006

Utility-based anonymization using local recoding.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Jian Xu

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