| 2026 | AAAI | TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models. | Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan |
| 2024 | ACL | Harder Task Needs 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 |
| 2024 | ACL | Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. | Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang |
| 2024 | EMNLP | A Survey on Open Information Extraction from Rule-based Model to Large Language Model. | Pai Liu, Wenyang Gao, Wenjie Dong, Lin Ai, Ziwei Gong, Songfang Huang, Zongsheng Li, Ehsan Hoque, Julia Hirschberg, Yue Zhang |
| 2024 | EMNLP | Unlocking the Potential of Model Merging for Low-Resource Languages. | Mingxu Tao, Chen Zhang, Quzhe Huang, Tianyao Ma, Songfang Huang, Dongyan Zhao, Yansong Feng |
| 2024 | NAACL | Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2023 | ACL | PEER: Pre-training ELECTRA Extended by Ranking. | Ru He, Wei Wang, Songfang Huang, Fei Huang |
| 2023 | ACL | Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. | Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2023 | ACL | Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. | Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICML | 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 |
| 2023 | WSDM | 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 |
| 2022 | AAAI | 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 |
| 2022 | ACL | Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. | Zheng Yuan, Chuanqi Tan, Songfang Huang |
| 2022 | ACL | Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. | Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang |
| 2022 | ACL | Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency. | Yanyang Li, Fuli Luo, Runxin Xu, Songfang Huang, Fei Huang, Liwei Wang |
| 2022 | ACL | S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. | Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | IJCAI | Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. | Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai |
| 2022 | SC | STRONGHOLD: Fast and Affordable Billion-Scale Deep Learning Model Training. | Xiaoyang Sun, Wei Wang, Shenghao Qiu, Renyu Yang, Songfang Huang, Jie Xu, Zheng Wang |
| 2021 | AAAI | Nested Named Entity Recognition with Partially-Observed TreeCRFs. | Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang |
| 2021 | AAAI | A Unified Pretraining Framework for Passage Ranking and Expansion. | Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang |
| 2021 | ACL | StructuralLM: Structural Pre-training for Form Understanding. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | EMNLP | Rethinking Denoised Auto-Encoding in Language Pre-Training. | Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang |
| 2021 | EMNLP | 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 |
| 2021 | ICLR | MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. | Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang |
| 2021 | ICLR | IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. | Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang |
| 2021 | NAACL | Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models. | Yuxuan Lai, Yijia Liu, Yansong Feng, Songfang Huang, Dongyan Zhao |
| 2021 | NAACL | Noisy-Labeled NER with Confidence Estimation. | Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao |
| 2021 | PLDI | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Predicting Clinical Trial Results by Implicit Evidence Integration. | Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang |
| 2018 | ACL | 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 |
| 2017 | AAAI | FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. | Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen |
| 2017 | ACL | 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 |
| 2016 | ACL | Question Answering on Freebase via Relation Extraction and Textual Evidence. | Kun Xu, Siva Reddy, Yansong Feng, Songfang Huang, Dongyan Zhao |
| 2016 | CIKM | Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge. | Fangzhao Wu, Sixing Wu, Yongfeng Huang, Songfang Huang, Yong Qin |
| 2016 | COLING | Hybrid Question Answering over Knowledge Base and Free Text. | Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao |
| 2016 | ICONIP | Segmentation with Selectively Propagated Constraints. | Peng Han, Guangzhen Liu, Songfang Huang, Wenwu Yuan, Zhiwu Lu |
| 2015 | AAAI | Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. | Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang |
| 2015 | AAAI | What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. | Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao |
| 2015 | ACL | Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. | Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao |
| 2015 | EMNLP | Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling. | Kun Xu, Yansong Feng, Songfang Huang, Dongyan Zhao |
| 2015 | IJCAI | Social Image Parsing by Cross-Modal Data Refinement. | Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen |
| 2015 | IJCAI | Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. | Yulei Niu, Zhiwu Lu, Songfang Huang, Peng Han, Ji-Rong Wen |
| 2014 | ACL | Encoding Relation Requirements for Relation Extraction via Joint Inference. | Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, Dongyan Zhao |
| 2014 | EMNLP | Joint Inference for Knowledge Base Population. | Liwei Chen, Yansong Feng, Jinghui Mo, Songfang Huang, Dongyan Zhao |
| 2011 | Interspeech | Using Features from Topic Models to Alleviate Over-Generation in Hierarchical Phrase-Based Translation. | Songfang Huang, Bowen Zhou |
| 2011 | Interspeech | An Empirical Study on Improving Hierarchical Phrase-Based Translation Using Alignment Features. | Songfang Huang, Bowen Zhou |
| 2010 | ICASSP | Power law discounting for n-gram language models. | Songfang Huang, Steve Renals |
| 2009 | ICASSP | An EM algorithm for SCFG in formal syntax-based translation. | Songfang Huang, Bowen Zhou |
| 2009 | Interspeech | A parallel training algorithm for hierarchical pitman-yor process language models. | Songfang Huang, Steve Renals |
| 2008 | Interspeech | Unsupervised language model adaptation based on topic and role information in multiparty meetings. | Songfang Huang, Steve Renals |
| 2007 | ASRU | Hierarchical Pitman-Yor language models for ASR in meetings. | Songfang Huang, Steve Renals |