Songfang Huang

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 112

Top Venues

Publications

Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. ACL (1) (2024)
Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. CoRR (2024)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. NAACL-HLT (2024)
Mingxu Tao, Chen Zhang, Quzhe Huang, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng
Unlocking the Potential of Model Merging for Low-Resource Languages. CoRR (2024)
Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng
Harder Tasks Need More Experts: Dynamic Routing in MoE Models. CoRR (2024)
Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng
Harder Task Needs More Experts: Dynamic Routing in MoE Models. ACL (1) (2024)
Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. ACL (1) (2023)
Ru He, Wei Wang, Songfang Huang, Fei Huang
PEER: Pre-training ELECTRA Extended by Ranking. ACL (Findings) (2023)
Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang
BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. CoRR (2023)
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
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. ICML (2023)
Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang
Learning Trajectory-Word Alignments for Video-Language Tasks. CoRR (2023)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang
RRHF: Rank Responses to Align Language Models with Human Feedback. NeurIPS (2023)
Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang
Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling. CoRR (2023)
Zihua Wang, Xu Yang, Haiyang Xu, Hanwang Zhang, Chenliang Li, Songfang Huang, Fei Huang, Yu Zhang
Adaptively Clustering Neighbor Elements for Image Captioning. CoRR (2023)
Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang
RRHF: Rank Responses to Align Language Models with Human Feedback without tears. CoRR (2023)
Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li, Yu Zhang
Transforming Visual Scene Graphs to Image Captions. ACL (1) (2023)
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. WSDM (2023)
Hongyi Yuan, Yaoyun Zhang, Fei Huang, Songfang Huang
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain. CoRR (2023)
Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang
BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. ICCV (2023)
Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) (2023)
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
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR (2023)
Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin
Achieving Human Parity on Visual Question Answering. ACM Trans. Inf. Syst. 41 (3) (2023)
Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang
Learning Trajectory-Word Alignments for Video-Language Tasks. ICCV (2023)
Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. CoRR (2023)
Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. ACL (1) (2023)
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) (2023)
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
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. CoRR (2023)
Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang
How well do Large Language Models perform in Arithmetic tasks? CoRR (2023)
Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. ACL (2) (2023)
Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning. CoRR (2023)
Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. ACM Multimedia (2023)
Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. CoRR (2023)
Zheng Yuan, Chuanqi Tan, Songfang Huang
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. CoRR (2022)
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP (2022)
Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. ACL (Findings) (2022)
Zheng Yuan, Chuanqi Tan, Songfang Huang
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. ACL (2) (2022)
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 (2022)
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. AAAI (2022)
Xiaoyang Sun, Wei Wang, Shenghao Qiu, Renyu Yang, Songfang Huang, Jie Xu, Zheng Wang
STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training. SC (2022)
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 (2022)
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
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. EMNLP (2022)
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR (2022)
Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. CoRR (2022)
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
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. CoRR (2022)
Yang Xu, Li Li, Haiyang Xu, Songfang Huang, Fei Huang, Jianfei Cai
Image Captioning In the Transformer Age. CoRR (2022)
Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang
Open Information Extraction from 2007 to 2022 - A Survey. CoRR (2022)
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. EMNLP (Findings) (2022)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers. CoRR (2022)
Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. CoRR (2022)
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 (2022)
Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) (2022)
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 (2022)
Jiebin Chu, Yaoyun Zhang, Fei Huang, Luo Si, Songfang Huang, Zhengxing Huang
Disentangled representation for sequential treatment effect estimation. Comput. Methods Programs Biomed. 226 (2022)
Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. IJCAI (2022)
Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. EMNLP (2022)
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)
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)
Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. ICLR (2021)
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 (2021)
Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang
Improving Biomedical Pretrained Language Models with Knowledge. CoRR (2021)
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 (2021)
Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models. CoRR (2021)
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)
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 (2021)
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)
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. ACL/IJCNLP (2) (2021)
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 (2021)
Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao
Noisy-Labeled NER with Confidence Estimation. NAACL-HLT (2021)
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 (2021)
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)
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 (2021)
Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Zheng Yuan, Songfang Huang
Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher. TREC (2021)
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 (2021)
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)
Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang
Nested Named Entity Recognition with Partially-Observed TreeCRFs. AAAI (2021)
Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. CoRR (2021)
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 (2021)
Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang
Improving Biomedical Pretrained Language Models with Knowledge. BioNLP@NAACL-HLT (2021)
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)
Yizhao Gao, Nanyi Fei, Guangzhen Liu, Zhiwu Lu, Tao Xiang, Songfang Huang
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. CoRR (2021)
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)
Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao
Noisy-Labeled NER with Confidence Estimation. CoRR (2021)
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)
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)
Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang
A Unified Pretraining Framework for Passage Ranking and Expansion. AAAI (2021)
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 (2021)
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 (2021)
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
StructuralLM: Structural Pre-training for Form Understanding. CoRR (2021)
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 (2021)
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 (2020)
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)
Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
Predicting Clinical Trial Results by Implicit Evidence Integration. EMNLP (1) (2020)
Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
Predicting Clinical Trial Results by Implicit Evidence Integration. CoRR (2020)
Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang
Nested Named Entity Recognition with Partially-Observed TreeCRFs. CoRR (2020)
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)
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)
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) (2019)
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)
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)

Songfang Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Songfang Huang