Jian Xu
Orcid: 0000-0003-3111-1005Affiliations:
- Alibaba Group, Beijing, China
- TouchPal Inc., Shanghai, China (former)
- Yahoo Inc., Sunnyvale, CA, USA (former)
- Fudan University, Shanghai, China (former)
According to our database1,
Jian Xu
authored at least 83 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights.
CoRR, 2024
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method.
CoRR, 2024
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model.
CoRR, 2022
CoRR, 2022
DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling.
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.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
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.
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.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
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.
CoRR, 2021
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.
Proceedings of the WSDM '21, 2021
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.
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.
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
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.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
CoRR, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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.
CoRR, 2018
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
CoRR, 2018
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising.
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.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2013
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
2007
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007
2006
SIGKDD Explor., 2006
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.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005