2023
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online.
,
,
,
,
,
,
,
,
,
,
,
IEEE Trans. Knowl. Data Eng., 2023
2022
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Cross-Lingual Product Retrieval in E-Commerce Search.
,
,
,
,
,
,
,
,
,
,
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
A General Traffic Shaping Protocol in E-Commerce.
CoRR, 2021
Learning-To-Ensemble by Contextual Rank Aggregation in E-Commerce.
CoRR, 2021
Imitate TheWorld: A Search Engine Simulation Platform.
CoRR, 2021
Diversity Regularized Interests Modeling for Recommender Systems.
CoRR, 2021
Improving Search Engine Efficiency through Contextual Factor Selection.
AI Mag., 2021
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction.
CoRR, 2020
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce.
CoRR, 2020
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Policy Optimization with Model-Based Explorations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Reusable Reinforcement Learning via Shallow Trails.
IEEE Trans. Neural Networks Learn. Syst., 2018
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection.
CoRR, 2018
Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2016
Boosting Nonparametric Policies.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
2014
Napping for functional representation of policy.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Learning with Augmented Class by Exploiting Unlabeled Data.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Self-Practice Imitation Learning from Weak Policy.
Proceedings of the Partially Supervised Learning - Second IAPR International Workshop, 2013