Sulong Xu
Orcid: 0000-0003-0345-334X
According to our database1,
Sulong Xu
authored at least 31 papers
between 2020 and 2024.
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Bibliography
2024
MODRL-TA:A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2023
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.
Neurocomputing, March, 2023
Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR, 2023
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
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
2022
Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.
CoRR, 2021
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020