Bing Yin
Orcid: 0000-0002-4042-7522
According to our database1,
Bing Yin
authored at least 85 papers
between 2009 and 2025.
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Bibliography
2025
Expert Syst. Appl., 2025
2024
ACM Trans. Knowl. Discov. Data, July, 2024
Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China.
Remote. Sens., April, 2024
Expert Syst. Appl., March, 2024
Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training.
IET Comput. Vis., February, 2024
Pattern Recognit., 2024
Expert Syst. Appl., 2024
CoRR, 2024
COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition.
Proceedings of the Computer Vision - ECCV 2024, 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
CoRR, 2023
CoRR, 2023
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023
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
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Image and Graphics - 12th International Conference, 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
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
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
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
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
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
Proceedings of the Learning on Graphs Conference, 2022
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
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
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
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
Proceedings of the International Conference on Machine Learning and Applications, 2009