Songfang Huang
Orcid: 0000-0001-8084-0904
According to our database1,
Songfang Huang
authored at least 109 papers
between 2007 and 2024.
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Bibliography
2024
A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation.
IEEE Trans. Artif. Intell., September, 2024
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
A Survey on Open Information Extraction from Rule-based Model to Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
ACM Comput. Surv., 2023
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins.
CoRR, 2023
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
CoRR, 2023
CoRR, 2023
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
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
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection.
IEEE Trans. Inf. Forensics Secur., 2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
CoRR, 2021
CoRR, 2021
Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.
Proceedings of the Thirtieth Text REtrieval Conference, 2021
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.
CoRR, 2020
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
Cross-language document summarization via extraction and ranking of multiple summaries.
Knowl. Inf. Syst., 2019
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019
2018
Encoding implicit relation requirements for relation extraction: A joint inference approach.
Artif. Intell., 2018
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the COLING 2016, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Community-based matrix factorization for scalable music recommendation on smartphones.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks.
Comput. Speech Lang., 2013
2011
An Empirical Study on Improving Hierarchical Phrase-Based Translation Using Alignment Features.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
Using Features from Topic Models to Alleviate Over-Generation in Hierarchical Phrase-Based Translation.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
2010
IEEE Trans. Speech Audio Process., 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
2008
Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process.
Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008
Unsupervised language model adaptation based on topic and role information in multiparty meetings.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008
2007
Proceedings of the Machine Learning for Multimodal Interaction , 2007
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007