Bing Yin

Orcid: 0000-0002-5890-0031

According to our database1, Bing Yin authored at least 66 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Weakly supervised scene text generation for low-resource languages.
Expert Syst. Appl., March, 2024

Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training.
IET Comput. Vis., February, 2024

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
CoRR, 2024

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole.
Remote. Sens., November, 2023

Visible-infrared person re-identification via specific and shared representations learning.
Vis. Intell., 2023

1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking.
CoRR, 2023

Situated Natural Language Explanations.
CoRR, 2023

Exploring Part-Informed Visual-Language Learning for Person Re-Identification.
CoRR, 2023

CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR, 2023

OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts.
CoRR, 2023

SEMv2: Table Separation Line Detection Based on Conditional Convolution.
CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Implicit Query Parsing at Amazon Product Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Knowledge Graph Reasoning over Entities and Numerical Values.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

End-to-End Multilingual Text Recognition Based on Byte Modeling.
Proceedings of the Image and Graphics - 12th International Conference, 2023

A Multimodal Text Block Segmentation Framework for Photo Translation.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Knowledge-Selective Pretraining for Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Consistency for Text Summarization with Energy Functions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SCOTT: Self-Consistent Chain-of-Thought Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Graph Reasoning for Question Answering with Triplet Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A multimodal attention fusion network with a dynamic vocabulary for TextVQA.
Pattern Recognit., 2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR, 2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.
CoRR, 2022

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks.
CoRR, 2022

Vision-Language Adaptive Mutual Decoder for OOV-STR.
CoRR, 2022

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

ROSE: Robust Caches for Amazon Product Search.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Query Attribute Recommendation at Amazon Search.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.
Proceedings of the Learning on Graphs Conference, 2022

Condensing Graphs via One-Step Gradient Matching.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2021

Graph-based Multilingual Product Retrieval in E-Commerce Search.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
On Data Augmentation for Extreme Multi-label Classification.
CoRR, 2020

Shareable Representations for Search Query Understanding.
CoRR, 2020

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Semantic Product Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Speaker Diarization with Enhancing Speech for the First DIHARD Challenge.
Proceedings of the Interspeech 2018, 2018

An Analysis of Speaker Diarization Fusion Methods For The First DIHARD Challenge.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2016
A purchasing management strategy model about grading and classifying railway materials based on material grouping.
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

2014
Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data.
Remote. Sens., 2014

2012
Endpoint learning for multilinear commutator of singular integral on space of homogeneous type.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2009
Hierarchical Stability-Based Model Selection for Clustering Algorithms.
Proceedings of the International Conference on Machine Learning and Applications, 2009


  Loading...