Nan Duan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
159
Venues
19
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
159 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Dynamic Sparsity in Large-Scale Video DiT Training. | Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu |
| 2025 | AAAI | Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning. | Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen, Nan Duan, Weizhu Chen |
| 2025 | CVPR | Taming Teacher Forcing for Masked Autoregressive Video Generation. | Deyu Zhou, Quan Sun, Yuang Peng, Kun Yan, Runpei Dong, Duomin Wang, Zheng Ge, Nan Duan, Xiangyu Zhang |
| 2025 | ICLR | Automated Proof Generation for Rust Code via Self-Evolution. | Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K. Lahiri, Tao Xie, Lidong Zhou |
| 2025 | ICLR | Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation. | Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei |
| 2024 | AAAI | Machine-Created Universal Language for Cross-Lingual Transfer. | Yaobo Liang, Quanzhi Zhu, Junhe Zhao, Nan Duan |
| 2024 | AAAI | ORES: Open-Vocabulary Responsible Visual Synthesis. | Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan |
| 2024 | AAAI | HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. | Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma |
| 2024 | ACL | CMMLU: Measuring massive multitask language understanding in Chinese. | Haonan Li, Yixuan Zhang, Fajri Koto, Yifei Yang, Hai Zhao, Yeyun Gong, Nan Duan, Timothy Baldwin |
| 2024 | ACL | Large Language Models Can Learn Representation in Natural Language. | Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan |
| 2024 | ACL | PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion. | Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan |
| 2024 | ACL | Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency. | Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan |
| 2024 | ACL | Competition-Level Problems are Effective LLM Evaluators. | Yiming Huang, Zhenghao Lin, Xiao Liu, Yeyun Gong, Shuai Lu, Fangyu Lei, Yaobo Liang, Yelong Shen, Chen Lin, Nan Duan, Weizhu Chen |
| 2024 | ACL | Selene: Pioneering Automated Proof in Software Verification. | Lichen Zhang, Shuai Lu, Nan Duan |
| 2024 | COLING | PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization. | Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan |
| 2024 | EMNLP | Learning to Plan by Updating Natural Language. | Yiduo Guo, Yaobo Liang, Chenfei Wu, Wenshan Wu, Dongyan Zhao, Nan Duan |
| 2024 | EMNLP | PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion. | Zekai Zhang, Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan |
| 2024 | ICLR | CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing. | Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, Weizhu Chen |
| 2024 | ICLR | ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. | Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen |
| 2024 | ICLR | LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models. | Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan |
| 2024 | ICML | Using Left and Right Brains Together: Towards Vision and Language Planning. | Jun Cen, Chenfei Wu, Xiao Liu, Shengming Yin, Yixuan Pei, Jinglong Yang, Qifeng Chen, Nan Duan, Jianguo Zhang |
| 2024 | ICML | StrokeNUWA - Tokenizing Strokes for Vector Graphic Synthesis. | Zecheng Tang, Chenfei Wu, Zekai Zhang, Minheng Ni, Shengming Yin, Yu Liu, Zhengyuan Yang, Lijuan Wang, Zicheng Liu, Juntao Li, Nan Duan |
| 2024 | NAACL | Low-code LLM: Graphical User Interface over Large Language Models. | Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei |
| 2024 | NAACL | AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. | Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen |
| 2024 | NAACL | Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. | Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan |
| 2024 | NAACL | AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models. | Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan |
| 2024 | WSDM | LEAD: Liberal Feature-based Distillation for Dense Retrieval. | Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan |
| 2023 | AAAI | BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. | Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan |
| 2023 | ACL | ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. | Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan |
| 2023 | ACL | Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast. | Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu, Nan Duan |
| 2023 | ACL | CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding. | Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Mike Zheng Shou, Nan Duan |
| 2023 | ACL | Code Execution with Pre-trained Language Models. | Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan |
| 2023 | ACL | Constructing Multilingual Code Search Dataset Using Neural Machine Translation. | Ryo Sekizawa, Nan Duan, Shuai Lu, Hitomi Yanaka |
| 2023 | ACL | Joint Generator-Ranker Learning for Natural Language Generation. | Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen |
| 2023 | ACL | NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation. | Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Ming Gong, Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan |
| 2023 | ACL | Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. | Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan |
| 2023 | CVPR | ReCo: Region-Controlled Text-to-Image Generation. | Zhengyuan Yang, Jianfeng Wang, Zhe Gan, Linjie Li, Kevin Lin, Chenfei Wu, Nan Duan, Zicheng Liu, Ce Liu, Michael Zeng, Lijuan Wang |
| 2023 | EMNLP | CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. | Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan |
| 2023 | EMNLP | Allies: Prompting Large Language Model with Beam Search. | Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan |
| 2023 | EMNLP | Intervention-Based Alignment of Code Search with Execution Feedback. | Hojae Han, Minsoo Kim, Seung-won Hwang, Nan Duan, Shuai Lu |
| 2023 | EMNLP | Query Rewriting in Retrieval-Augmented Large Language Models. | Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan |
| 2023 | EMNLP | Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2023 | EMNLP | Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. | Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley |
| 2023 | ICLR | Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2023 | ICML | LongCoder: A Long-Range Pre-trained Language Model for Code Completion. | Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley |
| 2023 | ICML | Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise. | Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen |
| 2023 | ICML | Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2023 | IJCAI | Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. | Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan |
| 2023 | WWW | PROD: Progressive Distillation for Dense Retrieval. | Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan |
| 2022 | AAAI | XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. | Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan |
| 2022 | ACL | DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation. | Wei Chen, Yeyun Gong, Song Wang, Bolun Yao, Weizhen Qi, Zhongyu Wei, Xiaowu Hu, Bartuer Zhou, Yi Mao, Weizhu Chen, Biao Cheng, Nan Duan |
| 2022 | ACL | Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure. | Yuan Chai, Yaobo Liang, Nan Duan |
| 2022 | ACL | Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. | Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan |
| 2022 | ACL | UniXcoder: Unified Cross-Modal Pre-training for Code Representation. | Daya Guo, Shuai Lu, Nan Duan, Yanlin Wang, Ming Zhou, Jian Yin |
| 2022 | ACL | ReACC: A Retrieval-Augmented Code Completion Framework. | Shuai Lu, Nan Duan, Hojae Han, Daya Guo, Seung-won Hwang, Alexey Svyatkovskiy |
| 2022 | ACL | Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. | Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan |
| 2022 | ACL | LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. | Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley |
| 2022 | ACL | Multi-View Document Representation Learning for Open-Domain Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | CVPR | VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. | Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal |
| 2022 | CVPR | Learning to Ask Informative Sub-Questions for Visual Question Answering. | Kohei Uehara, Nan Duan, Tatsuya Harada |
| 2022 | ECCV | NWA: Visual Synthesis Pre-training for Neural visUal World creAtion. | Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan |
| 2022 | ECCV | Trace Controlled Text to Image Generation. | Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma |
| 2022 | EMNLP | Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. | Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan |
| 2022 | EMNLP | Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. | Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan |
| 2022 | EMNLP | CodeExp: Explanatory Code Document Generation. | Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan |
| 2022 | EMNLP | Towards Compositional Generalization in Code Search. | Hojae Han, Seung-won Hwang, Shuai Lu, Nan Duan, Seungtaek Choi |
| 2022 | EMNLP | Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. | Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | EMNLP | Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. | Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan |
| 2022 | EMNLP | CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. | Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan |
| 2022 | EMNLP | SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. | Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan |
| 2022 | ICLR | Learning to Complete Code with Sketches. | Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltiadis Allamanis |
| 2022 | ICLR | Adversarial Retriever-Ranker for Dense Text Retrieval. | Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2022 | IJCAI | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. | Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2022 | IJCAI | Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering. | Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan |
| 2022 | NAACL | CULG: Commercial Universal Language Generation. | Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2022 | NAACL | KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. | Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan |
| 2022 | NAACL | ProQA: Structural Prompt-based Pre-training for Unified Question Answering. | Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan |
| 2022 | NAACL | Analytical Reasoning of Text. | Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan |
| 2022 | WACV | Learning Temporal Video Procedure Segmentation from an Automatically Collected Large Dataset. | Lei Ji, Chenfei Wu, Daisy Zhou, Kun Yan, Edward Cui, Xilin Chen, Nan Duan |
| 2021 | ACL | CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. | Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan |
| 2021 | ACL | Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. | Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan |
| 2021 | ACL | ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. | Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan |
| 2021 | ACL | GEM: A General Evaluation Benchmark for Multimodal Tasks. | Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti |
| 2021 | ACL | Hashing based Efficient Inference for Image-Text Matching. | Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan, Xian-Ling Mao |
| 2021 | ACL | K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. | Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou |
| 2021 | ACL | Syntax-Enhanced Pre-trained Model. | Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan |
| 2021 | ACL | FastSeq: Make Sequence Generation Faster. | Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruofei Zhang |
| 2021 | ACL | Control Image Captioning Spatially and Temporally. | Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma |
| 2021 | ACL | UserAdapter: Few-Shot User Learning in Sentiment Analysis. | Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan |
| 2021 | CVPR | M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training. | Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Dongdong Zhang, Nan Duan |
| 2021 | EMNLP | KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. | Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2021 | EMNLP | Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy. | Colin B. Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy |
| 2021 | EMNLP | Discovering Representation Sprachbund For Multilingual Pre-Training. | Yimin Fan, Yaobo Liang, Alexandre Muzio, Hany Hassan, Houqiang Li, Ming Zhou, Nan Duan |
| 2021 | EMNLP | WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. | Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan |
| 2021 | ICLR | GraphCodeBERT: Pre-training Code Representations with Data Flow. | Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou |
| 2021 | ICML | BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. | Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan |
| 2021 | ICML | EL-Attention: Memory Efficient Lossless Attention for Generation. | Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang |
| 2021 | ICML | Poolingformer: Long Document Modeling with Pooling Attention. | Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen |
| 2021 | IWCMC | Indoor Localization on Smartphone Using PDR and Sparse Deployed BLE Beacons in Large Open Area. | Mei Wang, Nan Duan, Zou Zhou, Hongbing Qiu, Xiaopeng Li, Fei Zheng |
| 2021 | NAACL | Mask Attention Networks: Rethinking and Strengthen Transformer. | Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang |
| 2021 | PAKDD | Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. | Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou |
| 2020 | AAAI | Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos. | Kyungjae Lee, Nan Duan, Lei Ji, Jason Li, Seung-won Hwang |
| 2020 | AAAI | Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. | Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang |
| 2020 | AAAI | Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. | Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu |
| 2020 | AAAI | Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. | Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang |
| 2020 | ACL | Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. | Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou |
| 2020 | ACL | Graph Neural News Recommendation with Unsupervised Preference Disentanglement. | Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ACL | Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. | Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang |
| 2020 | ACL | Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. | Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu |
| 2020 | ACL | LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. | Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin |
| 2020 | ACL | Reasoning Over Semantic-Level Graph for Fact Checking. | Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
| 2020 | COLING | An Enhanced Knowledge Injection Model for Commonsense Generation. | Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang |
| 2020 | COLING | Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing. | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
| 2020 | DASC | Human Moving Behavior Recognition Based on the D-S Evidence Theory and SVM utilizing Smartphone. | Zou Zhou, Nan Duan, Tingting Li, Miao Ye, Fei Zheng, Guoli Zhang, Ruonan Wang, Kaixuan Wang |
| 2020 | EMNLP | Machine Reasoning: Technology, Dilemma and Future. | Nan Duan, Duyu Tang, Ming Zhou |
| 2020 | EMNLP | CodeBERT: A Pre-Trained Model for Programming and Natural Languages. | Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. | Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou |
| 2020 | EMNLP | Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou |
| 2020 | EMNLP | Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. | Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | EMNLP | GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. | Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan |
| 2020 | EMNLP | ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. | Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou |
| 2020 | EMNLP | No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. | Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang |
| 2020 | EMNLP | Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. | Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | Neural Deepfake Detection with Factual Structure of Text. | Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
| 2019 | ACL | Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing. | Daya Guo, Duyu Tang, Nan Duan, Ming Zhou, Jian Yin |
| 2019 | ACL | Dense Procedure Captioning in Narrated Instructional Videos. | Botian Shi, Lei Ji, Yaobo Liang, Nan Duan, Peng Chen, Zhendong Niu, Ming Zhou |
| 2019 | ACL | Joint Type Inference on Entities and Relations via Graph Convolutional Networks. | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
| 2019 | EMNLP | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou |
| 2019 | EMNLP | Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching. | Bo Shao, Yeyun Gong, Weizhen Qi, Nan Duan, Xiaola Lin |
| 2019 | EMNLP | Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. | Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang |
| 2019 | EMNLP | Asking Clarification Questions in Knowledge-Based Question Answering. | Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun |
| 2019 | IJCAI | Weakly Supervised Multi-task Learning for Semantic Parsing. | Bo Shao, Yeyun Gong, Junwei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan |
| 2019 | IJCAI | Knowledge Aware Semantic Concept Expansion for Image-Text Matching. | Botian Shi, Lei Ji, Pan Lu, Zhendong Niu, Nan Duan |
| 2018 | AAAI | Table-to-Text: Describing Table Region With Natural Language. | Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao |
| 2018 | AAAI | Assertion-Based QA With Question-Aware Open Information Extraction. | Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li |
| 2018 | ACL | Semantic Parsing with Syntax- and Table-Aware SQL Generation. | Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou |
| 2018 | CVPR | Visual Question Generation as Dual Task of Visual Question Answering. | Yikang Li, Nan Duan, Bolei Zhou, Xiao Chu, Wanli Ouyang, Xiaogang Wang, Ming Zhou |
| 2018 | EMNLP | Question Generation from SQL Queries Improves Neural Semantic Parsing. | Daya Guo, Yibo Sun, Duyu Tang, Nan Duan, Jian Yin, Hong Chi, James Cao, Peng Chen, Ming Zhou |
| 2018 | KDD | R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. | Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang |
| 2018 | NAACL | Learning to Collaborate for Question Answering and Asking. | Duyu Tang, Nan Duan, Zhao Yan, Zhirui Zhang, Yibo Sun, Shujie Liu, Yuanhua Lv, Ming Zhou |
| 2017 | AAAI | Building Task-Oriented Dialogue Systems for Online Shopping. | Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li |
| 2017 | EMNLP | Question Generation for Question Answering. | Nan Duan, Duyu Tang, Peng Chen, Ming Zhou |
| 2016 | ACL | DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents. | Zhao Yan, Nan Duan, Junwei Bao, Peng Chen, Ming Zhou, Zhoujun Li, Jianshe Zhou |
| 2016 | COLING | Constraint-Based Question Answering with Knowledge Graph. | Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao |
| 2015 | CIKM | Answering Questions with Complex Semantic Constraints on Open Knowledge Bases. | Pengcheng Yin, Nan Duan, Ben Kao, Junwei Bao, Ming Zhou |
| 2014 | ACL | Knowledge-Based Question Answering as Machine Translation. | Junwei Bao, Nan Duan, Ming Zhou, Tiejun Zhao |
| 2014 | EMNLP | Joint Relational Embeddings for Knowledge-based Question Answering. | Min-Chul Yang, Nan Duan, Ming Zhou, Hae-Chang Rim |
| 2013 | ACL | Minimum Bayes Risk based Answer Re-ranking for Question Answering. | Nan Duan |
| 2013 | ACL | Paraphrasing Adaptation for Web Search Ranking. | Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang |
| 2013 | IJCAI | Answer Extraction from Passage Graph for Question Answering. | Hong Sun, Nan Duan, Yajuan Duan, Ming Zhou |
| 2012 | EMNLP | Forced Derivation Tree based Model Training to Statistical Machine Translation. | Nan Duan, Mu Li, Ming Zhou |
| 2011 | ACL | Hypothesis Mixture Decoding for Statistical Machine Translation. | Nan Duan, Mu Li, Ming Zhou |
| 2010 | COLING | Mixture Model-based Minimum Bayes Risk Decoding using Multiple Machine Translation Systems. | Nan Duan, Mu Li, Dongdong Zhang, Ming Zhou |
| 2010 | COLING | Translation Model Generalization using Probability Averaging for Machine Translation. | Nan Duan, Hong Sun, Ming Zhou |
| 2009 | ACL | Collaborative Decoding: Partial Hypothesis Re-ranking Using Translation Consensus between Decoders. | Mu Li, Nan Duan, Dongdong Zhang, Chi-Ho Li, Ming Zhou |
| 2009 | EMNLP | The Feature Subspace Method for SMT System Combination. | Nan Duan, Mu Li, Tong Xiao, Ming Zhou |
| 2008 | ACL | Measure Word Generation for English-Chinese SMT Systems. | Dongdong Zhang, Mu Li, Nan Duan, Chi-Ho Li, Ming Zhou |