Sulong Xu

Orcid: 0000-0003-0345-334X

According to our database1, Sulong Xu authored at least 27 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
HiBERT: Detecting the illogical patterns with hierarchical BERT for multi-turn dialogue reasoning.
Neurocomputing, March, 2023

Automatic product copywriting for e-commerce.
AI Mag., 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

Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search.
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

Learning Query-aware Embedding Index for Improving E-commerce Dense Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

An Industrial Framework for Personalized Serendipitous Recommendation in E-commerce.
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

Face Clustering via Graph Convolutional Networks with Confidence Edges.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automatic Marketing Theme and Commodity Construction System for E-commerce.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Satisfaction-Aware User Interest Network for Click-Through Rate Prediction.
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

Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Query Rewriting via Cycle-Consistent Translation for E-Commerce Search.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Sequential Search with Off-Policy Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Category-Specific CNN for Visual-aware CTR Prediction at JD.com.
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


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