Songfang Huang

According to our database, Songfang Huang authored at least 104 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Harder Tasks Need More Experts: Dynamic Routing in MoE Models.

Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng

CoRR, 2024

2023

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

ACM Trans. Inf. Syst., 2023

LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.

Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Biomedical Question Answering: A Survey of Approaches and Challenges.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

ACM Comput. Surv., 2023

BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.

Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang

CoRR, 2023

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins.

Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.

Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang

CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

CoRR, 2023

How well do Large Language Models perform in Arithmetic tasks?

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang

CoRR, 2023

Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain.

Hongyi Yuan, Yaoyun Zhang, Fei Huang, Songfang Huang

CoRR, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.

Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang

CoRR, 2023

Adaptively Clustering Neighbor Elements for Image Captioning.

Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang

CoRR, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.

Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang

CoRR, 2023

Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.

Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

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.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.

Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou

Proceedings of the International Conference on Machine Learning, 2023

Learning Trajectory-Word Alignments for Video-Language Tasks.

Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.

Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.

Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang

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.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Transforming Visual Scene Graphs to Image Captions.

Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang

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.

Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian

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.

Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PEER: Pre-training ELECTRA Extended by Ranking.

Ru He, Wei Wang, Songfang Huang, Fei Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

CoRR, 2022

Open Information Extraction from 2007 to 2022 - A Survey.

Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang

CoRR, 2022

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

CoRR, 2022

Image Captioning In the Transformer Age.

Yang Xu, Li Li, Haiyang Xu, Songfang Huang, Fei Huang, Jianfei Cai

CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen

CoRR, 2022

Disentangled representation for sequential treatment effect estimation.

Jiebin Chu, Yaoyun Zhang, Fei Huang, Luo Si, Songfang Huang, Zhengxing Huang

Comput. Methods Programs Biomed., 2022

STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training.

Xiaoyang Sun, Wei Wang, Shenghao Qiu, Renyu Yang, Songfang Huang, Jie Xu, Zheng Wang

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.

Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai

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.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

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.

Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si

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.

Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method.

Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang

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.

Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang

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.

Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang

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.

Zheng Yuan, Chuanqi Tan, Songfang Huang

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.

Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection.

Huanting Wang, Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Yansong Feng, Lizhong Bian, Zheng Wang

IEEE Trans. Inf. Forensics Secur., 2021

Contrastive Information Extraction With Generative Transformer.

Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Achieving Human Parity on Visual Question Answering.

Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin

CoRR, 2021

A Chinese Multi-type Complex Questions Answering Dataset over Wikidata.

Jianyun Zou, Min Yang, Lichao Zhang, Yechen Xu, Qifan Pan, Fengqing Jiang, Ran Qin, Shushu Wang, Yifan He, Songfang Huang, Zhou Zhao

CoRR, 2021

SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels.

Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang

CoRR, 2021

Biomedical Question Answering: A Comprehensive Review.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

CoRR, 2021

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning.

Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang

CoRR, 2021

Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.

Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Zheng Yuan, Songfang Huang

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Automated conformance testing for JavaScript engines via deep compiler fuzzing.

Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Xiaoyang Sun, Lizhong Bian, Haibo Wang, Zheng Wang

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Noisy-Labeled NER with Confidence Estimation.

Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao

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.

Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning.

Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning.

Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang

Proceedings of the 9th International Conference on Learning Representations, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Biomedical Pretrained Language Models with Knowledge.

Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang

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.

Yifan He, Mosha Chen, Songfang Huang

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning.

Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang

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.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

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.

Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

StructuralLM: Structural Pre-training for Form Understanding.

Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Pretraining Framework for Passage Ranking and Expansion.

Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Nested Named Entity Recognition with Partially-Observed TreeCRFs.

Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.

Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si

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.

Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Predicting Clinical Trial Results by Implicit Evidence Integration.

Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang

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.

Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Deep Program Structure Modeling Through Multi-Relational Graph-based Learning.

Guixin Ye, Zhanyong Tang, Huanting Wang, Dingyi Fang, Jianbin Fang, Songfang Huang, Zheng Wang

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.

Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, Jin-ge Yao

Knowl. Inf. Syst., 2019

Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention.

Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes.

Enliang Xu, Jing Mei, Jing Li, Yiqin Yu, Songfang Huang, Yong Qin

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Encoding implicit relation requirements for relation extraction: A joint inference approach.

Liwei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo, Dongyan Zhao

Artif. Intell., 2018

Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding.

Bingfeng Luo, Yansong Feng, Zheng Wang, Songfang Huang, Rui Yan, Dongyan Zhao

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.

Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation.

Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Enhancing Freebase Question Answering Using Textual Evidence.

Kun Xu, Yansong Feng, Siva Reddy, Songfang Huang, Dongyan Zhao

CoRR, 2016

Segmentation with Selectively Propagated Constraints.

Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hybrid Question Answering over Knowledge Base and Free Text.

Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the COLING 2016, 2016

Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge.

Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Question Answering on Freebase via Relation Extraction and Textual Evidence.

Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing.

Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Social Image Parsing by Cross-Modal Data Refinement.

Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling.

Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Question Answering via Phrasal Semantic Parsing.

Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2015

Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases.

Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao

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

What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions.

Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding.

Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Community-based matrix factorization for scalable music recommendation on smartphones.

Jinghui Mo, Yansong Feng, Aixia Jia, Songfang Huang, Yong Qin, Dongyan Zhao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Joint Inference for Knowledge Base Population.

Liwei Chen, Yansong Feng, Jinghui Mo, Songfang Huang, Dongyan Zhao

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Encoding Relation Requirements for Relation Extraction via Joint Inference.

Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, Dongyan Zhao

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.

Bowen Zhou, Xiaodong Cui, Songfang Huang, Martin Cmejrek, Wei Zhang, Jian Xue, Jia Cui, Bing Xiang, Gregg Daggett, Upendra V. Chaudhari, Sameer Maskey, Etienne Marcheret

Comput. Speech Lang., 2013

2011

An Empirical Study on Improving Hierarchical Phrase-Based Translation Using Alignment Features.

Songfang Huang, Bowen Zhou

Proceedings of the INTERSPEECH 2011, 2011

Using Features from Topic Models to Alleviate Over-Generation in Hierarchical Phrase-Based Translation.

Songfang Huang, Bowen Zhou

Proceedings of the INTERSPEECH 2011, 2011

2010

Hierarchical Bayesian Language Models for Conversational Speech Recognition.

Songfang Huang, Steve Renals

IEEE Trans. Speech Audio Process., 2010

Power law discounting for n-gram language models.

Songfang Huang, Steve Renals

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

A parallel training algorithm for hierarchical pitman-yor process language models.

Songfang Huang, Steve Renals

Proceedings of the INTERSPEECH 2009, 2009

An EM algorithm for SCFG in formal syntax-based translation.

Songfang Huang, Bowen Zhou

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process.

Songfang Huang, Steve Renals

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.

Songfang Huang, Steve Renals

Proceedings of the INTERSPEECH 2008, 2008

2007

Using Prosodic Features in Language Models for Meetings.

Songfang Huang, Steve Renals

Proceedings of the Machine Learning for Multimodal Interaction , 2007

Hierarchical Pitman-Yor language models for ASR in meetings.

Songfang Huang, Steve Renals

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007