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2020 – today
- 2023
[j7]Qiao Jin
, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023)- 2022
- [c51]Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang:
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) 2022: 530-537 - [c50]Zheng Yuan, Chuanqi Tan, Songfang Huang:
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. ACL (2) 2022: 808-814 - [c49]Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang:
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. ACL (1) 2022: 1852-1865 - [c48]Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang:
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. ACL (Findings) 2022: 3174-3186 - [i29]Zheng Yuan, Chuanqi Tan, Songfang Huang:
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. CoRR abs/2203.01515 (2022) - [i28]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. CoRR abs/2204.00166 (2022) - [i27]Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang:
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. CoRR abs/2204.02601 (2022) - [i26]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. CoRR abs/2204.04392 (2022) - [i25]Yang Xu, Li Li, Haiyang Xu, Songfang Huang, Fei Huang, Jianfei Cai:
Image Captioning In the Transformer Age. CoRR abs/2204.07374 (2022) - [i24]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR abs/2205.05313 (2022) - 2021
- [j6]Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Information Extraction With Generative Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3077-3088 (2021) - [j5]Huanting Wang, Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Yansong Feng, Lizhong Bian, Zheng Wang:
Combining Graph-Based Learning With Automated Data Collection for Code Vulnerability Detection. IEEE Trans. Inf. Forensics Secur. 16: 1943-1958 (2021) - [c47]Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang:
A Unified Pretraining Framework for Passage Ranking and Expansion. AAAI 2021: 4555-4563 - [c46]Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. AAAI 2021: 12839-12847 - [c45]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. ACL/IJCNLP (1) 2021: 503-513 - [c44]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang:
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. ACL/IJCNLP (2) 2021: 942-947 - [c43]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. ACL/IJCNLP (1) 2021: 3980-3994 - [c42]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. ACL/IJCNLP (1) 2021: 6309-6318 - [c41]Yifan He, Mosha Chen, Songfang Huang:
damo_nlp at MEDIQA 2021: Knowledge-based Preprocessing and Coverage-oriented Reranking for Medical Question Summarization. BioNLP@NAACL-HLT 2021: 112-118 - [c40]Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang:
Improving Biomedical Pretrained Language Models with Knowledge. BioNLP@NAACL-HLT 2021: 180-190 - [c39]Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang:
Rethinking Denoised Auto-Encoding in Language Pre-Training. EMNLP (1) 2021: 2922-2932 - [c38]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) 2021: 9514-9528 - [c37]Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang:
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. ICLR 2021 - [c36]Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang:
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. ICLR 2021 - [c35]Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models. NAACL-HLT 2021: 1716-1731 - [c34]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. NAACL-HLT 2021: 3437-3445 - [c33]Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Xiaoyang Sun, Lizhong Bian, Haibo Wang, Zheng Wang:
Automated conformance testing for JavaScript engines via deep compiler fuzzing. PLDI 2021: 435-450 - [i23]Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang:
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR abs/2101.09499 (2021) - [i22]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021) - [i21]Chenliang Li, Ming Yan, Haiyang Xu, Fuli Luo, Wei Wang, Bin Bi, Songfang Huang:
SemVLP: Vision-Language Pre-training by Aligning Semantics at Multiple Levels. CoRR abs/2103.07829 (2021) - [i20]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. CoRR abs/2104.04318 (2021) - [i19]Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models. CoRR abs/2104.07204 (2021) - [i18]Guixin Ye, Zhanyong Tang, Shin Hwei Tan, Songfang Huang, Dingyi Fang, Xiaoyang Sun, Lizhong Bian, Haibo Wang, Zheng Wang:
Automated Conformance Testing for JavaScript Engines via Deep Compiler Fuzzing. CoRR abs/2104.07460 (2021) - [i17]Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang:
Improving Biomedical Pretrained Language Models with Knowledge. CoRR abs/2104.10344 (2021) - [i16]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. CoRR abs/2105.11210 (2021) - [i15]Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang:
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. CoRR abs/2106.01804 (2021) - [i14]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR abs/2109.05687 (2021) - [i13]Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang:
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. CoRR abs/2110.07480 (2021) - [i12]Jianyun Zou, Min Yang, Lichao Zhang, Yechen Xu, Qifan Pan, Fengqing Jiang, Ran Qin, Shushu Wang, Yifan He, Songfang Huang, Zhou Zhao:
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata. CoRR abs/2111.06086 (2021) - [i11]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:
Achieving Human Parity on Visual Question Answering. CoRR abs/2111.08896 (2021) - [i10]Ningyu Zhang, Hongbin Ye, Jiacheng Yang, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training. CoRR abs/2112.01404 (2021) - [i9]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR abs/2112.07198 (2021) - 2020
- [c32]Guixin Ye, Zhanyong Tang, Huanting Wang, Dingyi Fang, Jianbin Fang, Songfang Huang, Zheng Wang:
Deep Program Structure Modeling Through Multi-Relational Graph-based Learning. PACT 2020: 111-123 - [c31]Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. EMNLP (1) 2020: 1461-1477 - [c30]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. EMNLP (1) 2020: 8681-8691 - [c29]Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu:
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning. TREC 2020 - [i8]Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. CoRR abs/2010.05639 (2020) - [i7]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation. CoRR abs/2010.16046 (2020) - [i6]Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. CoRR abs/2012.08478 (2020)
2010 – 2019
- 2019
- [j4]Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, Jin-ge Yao:
Cross-language document summarization via extraction and ranking of multiple summaries. Knowl. Inf. Syst. 58(2): 481-499 (2019) - [c28]Enliang Xu, Jing Mei, Jing Li, Yiqin Yu, Songfang Huang, Yong Qin:
From EHR Data to Medication Adherence Assessment: A Case Study on Type 2 Diabetes. ICHI 2019: 1-8 - [c27]Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang:
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. ICHI 2019: 1-2 - 2018
- [j3]Liwei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo, Dongyan Zhao:
Encoding implicit relation requirements for relation extraction: A joint inference approach. Artif. Intell. 265: 45-66 (2018) - [c26]Bingfeng Luo, Yansong Feng, Zheng Wang, Songfang Huang, Rui Yan, Dongyan Zhao:
Marrying Up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding. ACL (1) 2018: 2083-2093 - [i5]Bingfeng Luo, Yansong Feng, Zheng Wang, Songfang Huang, Rui Yan, Dongyan Zhao:
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding. CoRR abs/1805.05588 (2018) - [i4]Liwei Chen, Yansong Feng, Songfang Huang, Bingfeng Luo, Dongyan Zhao:
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach. CoRR abs/1811.03796 (2018) - 2017
- [c25]Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen:
FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. AAAI 2017: 1474-1480 - [c24]Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao:
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix. ACL (1) 2017: 430-439 - [i3]Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao:
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix. CoRR abs/1705.03995 (2017) - 2016
- [c23]Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao:
Question Answering on Freebase via Relation Extraction and Textual Evidence. ACL (1) 2016 - [c22]Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin:
Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. CIKM 2016: 949-958 - [c21]Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Hybrid Question Answering over Knowledge Base and Free Text. COLING 2016: 2397-2407 - [c20]Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu:
Segmentation with Selectively Propagated Constraints. ICONIP (2) 2016: 585-592 - [i2]Kun Xu, Yansong Feng, Siva Reddy, Songfang Huang, Dongyan Zhao:
Enhancing Freebase Question Answering Using Textual Evidence. CoRR abs/1603.00957 (2016) - 2015
- [c19]Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang:
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI 2015: 2828-2834 - [c18]Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao:
What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. AAAI 2015: 4222-4223 - [c17]Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao:
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. ACL (2) 2015: 225-230 - [c16]Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Question Answering via Phrasal Semantic Parsing. CLEF 2015: 414-426 - [c15]Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling. EMNLP 2015: 536-540 - [c14]Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen:
Social Image Parsing by Cross-Modal Data Refinement. IJCAI 2015: 2169-2175 - [c13]Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen:
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. IJCAI 2015: 3749-3755 - [i1]Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao:
Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling. CoRR abs/1506.07650 (2015) - 2014
- [c12]Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, Dongyan Zhao:
Encoding Relation Requirements for Relation Extraction via Joint Inference. ACL (1) 2014: 818-827 - [c11]Liwei Chen, Yansong Feng, Jinghui Mo, Songfang Huang, Dongyan Zhao:
Joint Inference for Knowledge Base Population. EMNLP 2014: 1912-1923 - [c10]Jinghui Mo, Yansong Feng, Aixia Jia, Songfang Huang, Yong Qin, Dongyan Zhao:
Community-based matrix factorization for scalable music recommendation on smartphones. ICME 2014: 1-6 - 2013
- [j2]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:
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks. Comput. Speech Lang. 27(2): 592-618 (2013) - 2011
- [c9]Songfang Huang, Bowen Zhou:
Using Features from Topic Models to Alleviate Over-Generation in Hierarchical Phrase-Based Translation. INTERSPEECH 2011: 2097-2100 - [c8]Songfang Huang, Bowen Zhou:
An Empirical Study on Improving Hierarchical Phrase-Based Translation Using Alignment Features. INTERSPEECH 2011: 2101-2104 - 2010
- [j1]Songfang Huang, Steve Renals:
Hierarchical Bayesian Language Models for Conversational Speech Recognition. IEEE Trans. Speech Audio Process. 18(8): 1941-1954 (2010) - [c7]Songfang Huang, Steve Renals:
Power law discounting for n-gram language models. ICASSP 2010: 5178-5181
2000 – 2009
- 2009
- [c6]Songfang Huang, Bowen Zhou:
An EM algorithm for SCFG in formal syntax-based translation. ICASSP 2009: 4813-4816 - [c5]Songfang Huang, Steve Renals:
A parallel training algorithm for hierarchical pitman-yor process language models. INTERSPEECH 2009: 2695-2698 - 2008
- [c4]Songfang Huang, Steve Renals:
Unsupervised language model adaptation based on topic and role information in multiparty meetings. INTERSPEECH 2008: 833-836 - [c3]Songfang Huang, Steve Renals:
Modeling Topic and Role Information in Meetings Using the Hierarchical Dirichlet Process. MLMI 2008: 214-225 - 2007
- [c2]Songfang Huang, Steve Renals:
Hierarchical Pitman-Yor language models for ASR in meetings. ASRU 2007: 124-129 - [c1]Songfang Huang, Steve Renals:
Using Prosodic Features in Language Models for Meetings. MLMI 2007: 192-203
Coauthor Index
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