Weipeng Yan

Orcid: 0000-0002-5702-8384

According to our database1, Weipeng Yan authored at least 28 papers between 2017 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

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

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DynaMS: Dyanmic Margin Selection for Efficient Deep Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Blending Advertising with Organic Content in E-commerce via Virtual Bids.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive Experimentation with Delayed Binary Feedback.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach.
CoRR, 2021

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

Labeling Document Images for E-Commence Products with Tree-Based Segment Re-organizing and Hierarchical Transformer.
Proceedings of the Document Analysis and Recognition, 2021

Probing Product Description Generation via Posterior Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Contextual deconvolution network for semantic segmentation.
Pattern Recognit., 2020

DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network.
CoRR, 2020

MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 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

Group-wise Contrastive Learning for Neural Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dimension Relation Modeling for Click-Through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction.
CoRR, 2019

An Approach to Predict Wear Distribution of Valve Plate in Elasto-Hydrodynamic Lubrication.
IEEE Access, 2019

Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2017
Stability analysis and optimization on conical cylinder block in swash plate piston pumps.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017


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