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个人简介

于复旦大学获得理学学士和博士学位。研究方向为自然语言处理、深度学习,发表CCF-A/B类论文70余篇。主持开发了开源自然语言处理工具FudanNLP [GitHub] [Google Code]、FastNLP [GitHub] [Gitee],获得了学术界和产业界的广泛使用。指导学生多次获得中国人工智能学会优博、中国中文信息学会优博、微软学者、百度奖学金、上海市计算机学会优博等。 学术奖励 2023年 中国教师发展基金会“高校计算机专业优秀教师奖励计划” 2023年 上海市计算机学会教学成果奖一等奖(第二完成人) 2022年 中国中文信息学会“钱伟长中文信息处理科学技术奖”一等奖 2021年 《中国科学:技术科学》2021年度高影响力论文奖 Pre-trained Models for Natural Language Processing: A Survey 2021年 首届上海市计算机学会教学成果奖一等奖(第一完成人) 2020年 第四届上海高校青年教师教学竞赛优等奖 2020年 4篇论文入选PaperDigest发布的IJCAI/ACL/EMNLP的最有影响力论文(各会议每年10篇) 2019年 CCL 2019最佳论文奖 How to Fine-Tune BERT for Text Classification? 2018年 中国中文信息学会“钱伟长中文信息处理科学技术奖—青年创新奖” 2017年 ACL 2017杰出论文奖 Adversarial Multi-Criteria Learning for Chinese Word Segmentation 2015年 首届中国科协青年人才托举工程

研究领域

围绕自然语言处理的机器学习模型构建、学习算法和下游任务应用,包括:自然语言表示学习、预训练模型、信息抽取、中文NLP、开源NLP系统、可信NLP技术、对话系统等

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Survey/Overview of NLP Pre-trained Models for Natural Language Processing: A Survey, SCIENCE CHINA Technological Sciences?(SCTS)?, Vol. 63(10), pp. 1872–1897, Science China Press, 2020.?[BibTeX][DOI][PDF]?《中国科学:技术科学》2021年度高影响力论文奖 Xipeng Qiu, TianXiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang. Paradigm Shift in Natural Language Processing, Machine Intelligence Research , Vol. 19(3), pp. 169-183, 2022.?[BibTeX][DOI]?[Abstract] Tian-Xiang Sun, Xiang-Yang Liu,?Xi-Peng Qiu, Xuan-Jing Huang. A survey of transformers, AI Open , Elsevier, 2022.?[BibTeX][DOI][PDF] Tianyang Lin, Yuxin Wang, Xiangyang Liu,?Xipeng Qiu. Foundation Models / Language-Model-as-a-Service (LMaaS) CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation, SCIENCE CHINA Information Sciences?(SCIS)?, 2022.?[BibTeX][DOI][PDF] Yunfan Shao, Zhichao Geng, Yitao Liu, Junqi Dai, Hang Yan, Fei Yang, Li Zhe, Hujun Bao,?Xipeng Qiu. Black-Box Tuning for Language-Model-as-a-Service,?ICML, 2022.?[BibTeX] Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang,?Xipeng Qiu. BBTv2: Towards a Gradient-Free Future with Large Language Models,?EMNLP, 2022.?[BibTeX] Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang,?Xipeng Qiu. Information Extraction TENER: adapting transformer encoder for named entity recognition, arXiv preprint arXiv:1911.04474 , 2019.?[BibTeX] Hang Yan, Bocao Deng, Xiaonan Li,?Xipeng Qiu. FLAT: Chinese NER Using Flat-Lattice Transformer,?ACL, 2020.?[BibTeX][PDF][Code][Abstract] Xiaonan Li, Hang Yan,?Xipeng Qiu, Xuanjing Huang. Accelerating BERT Inference for Sequence Labeling via Early-Exit,?ACL, 2021.?[BibTeX][PDF][Abstract] Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan,?Xipeng Qiu, Xuanjing Huang. A Unified Generative Framework for Various NER Subtasks,?ACL, 2021.?[BibTeX][PDF][Abstract] Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang,?Xipeng Qiu. Efficient NLP Star-Transformer,?NAACL, 2019.?[BibTeX][PDF][Abstract] Qipeng Guo,?Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang. Low-rank and Locality Constrained Self-Attention for Sequence Modeling, IEEE/ACM Transactions on Audio, Speech, and Language Processing?(TASLP), December, 2019 , Vol. 27(12), pp. 2213 - 2222, 2019.?[BibTeX][DOI] Qipeng Guo,?Xipeng Qiu, Xiangyang Xue, Zheng Zhang. Accelerating BERT Inference for Sequence Labeling via Early-Exit,?ACL, 2021.?[BibTeX][PDF][Abstract] Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan,?Xipeng Qiu, Xuanjing Huang. Towards Efficient NLP: A Standard Evaluation and A Strong Baseline, arXiv preprint arXiv:2110.07038 , 2021.?[BibTeX] Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang,?Xipeng Qiu. Adapting PTMs to Downstream NLP Tasks Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa,?NAACL, 2021.?[BibTeX][PDF][Abstract] Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu,?Xipeng Qiu. Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence,?NAACL, 2019.?[BibTeX][Code][Abstract] Chi Sun, Luyao Huang,?Xipeng Qiu. How to Fine-Tune BERT for Text Classification?,?CCL (Best Paper Award), 2019.?[BibTeX][PDF] Chi Sun,?Xipeng Qiu, Yige Xu, Xuanjing Huang. Chinese NLP Gated Recursive Neural Network For Chinese Word Segmentation,?ACL, 2015.?[BibTeX] Xinchi Chen,?Xipeng Qiu, Chenxi Zhu, Xuanjing Huang. Long Short-Term Memory Neural Networks for Chinese Word Segmentation,?EMNLP, 2015.?[BibTeX] Xinchi Chen,?Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang. A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing, Transactions of the Association for Computational Linguistics?(TACL)?, Vol. 8, pp. 78-92, 2020.?[BibTeX][DOI][PDF] Hang Yan,?Xipeng Qiu, Xuanjing Huang. A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation,?ACL, 2016.?[BibTeX] Peng Qian,?Xipeng Qiu, Xuanjing Huang. Adversarial Multi-Criteria Learning for Chinese Word Segmentation,?ACL (Outstanding Paper Award), 2017.?[BibTeX] Xinchi Chen, Zhan Shi,?Xipeng Qiu, Xuanjing Huang. VCWE: Visual Character-Enhanced Word Embeddings,?NAACL, 2019.?[BibTeX][PDF][Abstract] Chi Sun,?Xipeng Qiu, Xuanjing Huang. FLAT: Chinese NER Using Flat-Lattice Transformer,?ACL, 2020.?[BibTeX][PDF][Code][Abstract] Xiaonan Li, Hang Yan,?Xipeng Qiu, Xuanjing Huang. A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder,?EMNLP Findings, 2020.?[BibTeX][PDF][Abstract] Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang. fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP,?ACL, 2021.?[BibTeX][PDF][Abstract] Zhichao Geng, Hang Yan,?Xipeng Qiu, Xuanjing Huang. Reliable NLP BERT-ATTACK: Adversarial Attack Against BERT Using BERT,?EMNLP, 2020.?[BibTeX][PDF][Abstract] Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue,?Xipeng Qiu. Token-Aware Virtual Adversarial Training in Natural Language Understanding,?AAAI, 2021.?[BibTeX][PDF] Linyang Li,?Xipeng Qiu. Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning,?EMNLP, 2021.?[BibTeX][PDF][Abstract] Linyang Li, Demin Song, Xiaonan Li, Jiehang Zeng, Ruotian Ma,?Xipeng Qiu. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing, , 2021.?[BibTeX][Abstract] Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei,?Xipeng Qiu, Xuanjing Huang. Text Matching Modelling Interaction of Sentence Pair with Coupled-LSTMs,?EMNLP, 2016.?[BibTeX] Pengfei Liu,?Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang. Convolutional Neural Tensor Network Architecture for Community-based Question Answering,?IJCAI, 2015.?[BibTeX] Xipeng Qiu, Xuanjing Huang. Convolutional Interaction Network for Natural Language Inference,?EMNLP, 2018.?[BibTeX] Jingjing Gong,?Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang. Deep Fusion LSTMs for Text Semantic Matching,?ACL, 2016.?[BibTeX][PDF] Pengfei Liu,?Xipeng Qiu, Jifan Chen, Xuanjing Huang. Extractive Summarization as Text Matching,?ACL, 2020.?[BibTeX][PDF][Code][Abstract] Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang,?Xipeng Qiu, Xuanjing Huang. Multi-Task Learning for NLP Deep Multi-Task Learning with Shared Memory,?EMNLP, 2016.?[BibTeX] Pengfei Liu,?Xipeng Qiu, Xuanjing Huang. Recurrent Neural Network for Text Classification with Multi-Task Learning,?IJCAI, 2016.?[BibTeX] Pengfei Liu,?Xipeng Qiu, Xuanjing Huang. Meta Multi-Task Learning for Sequence Modeling,?AAAI, 2018.?[BibTeX][PDF] Junkun Chen,?Xipeng Qiu, Pengfei Liu, Xuanjing Huang. Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks,?IJCAI, 2018.?[BibTeX][PDF] Renjie Zheng, Junkun Chen,?Xipeng Qiu. Adversarial Multi-task Learning for Text Classification,?ACL, 2017.?[BibTeX][PDF] Pengfei Liu,?Xipeng Qiu, Xuanjing Huang. Neural Architecture for NLP Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents,?EMNLP, 2015.?[BibTeX] PengFei Liu,?Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang. Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification,?EMNLP, 2016.?[BibTeX] Jiacheng Xu, Danlu Chen,?Xipeng Qiu, Xuanjing Huang. Convolutional Interaction Network for Natural Language Inference,?EMNLP, 2018.?[BibTeX] Jingjing Gong,?Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang. Star-Transformer,?NAACL, 2019.?[BibTeX][PDF][Abstract] Qipeng Guo,?Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang. Low-rank and Locality Constrained Self-Attention for Sequence Modeling, IEEE/ACM Transactions on Audio, Speech, and Language Processing?(TASLP), December, 2019 , Vol. 27(12), pp. 2213 - 2222, 2019.?[BibTeX][DOI] Qipeng Guo,?Xipeng Qiu, Xiangyang Xue, Zheng Zhang. Knowledge-enhanced NLP Knowledge Graph Representation with Jointly Structural and Textual Encoding,?IJCAI, 2017.?[BibTeX][PDF] Jiacheng Xu,?Xipeng Qiu, Kan Chen, Xuanjing Huang. CoLAKE: Contextualized Language and Knowledge Embedding,?COLING, 2020.?[BibTeX][PDF][Abstract] Tianxiang Sun, Yunfan Shao,?Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang. Sentiment Analysis Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification,?EMNLP, 2016.?[BibTeX] Jiacheng Xu, Danlu Chen,?Xipeng Qiu, Xuanjing Huang. Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence,?NAACL, 2019.?[BibTeX][Code][Abstract] Chi Sun, Luyao Huang,?Xipeng Qiu. Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa,?NAACL, 2021.?[BibTeX][PDF][Abstract] Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu,?Xipeng Qiu. A Unified Generative Framework for Aspect-based Sentiment Analysis,?ACL, 2021.?[BibTeX][PDF][Abstract] Hang Yan, Junqi Dai, Tuo Ji,?Xipeng Qiu, Zheng Zhang. Text Generation Toward Diverse Text Generation with Inverse Reinforcement Learning,?IJCAI, 2018.?[BibTeX][PDF][Code] Zhan Shi, Xinchi Chen,?Xipeng Qiu, Xuanjing Huang. Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation,?ACL, 2019.?[BibTeX][PDF][Code] Ning Dai, Jianze Liang,?Xipeng Qiu, Xuanjing Huang. Extractive Summarization as Text Matching,?ACL, 2020.?[BibTeX][PDF][Code][Abstract] Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang,?Xipeng Qiu, Xuanjing Huang. Syntax-guided text generation via graph neural network, Science China Information Sciences , Vol. 64(5), pp. 152102, 2021.?[BibTeX][DOI]?[Abstract] Qipeng Guo,?Xipeng Qiu, Xiangyang Xue, Zheng Zhang.

学术兼职

PC CO-Chair IALP 2019, CCL 2022, CCL 2023 Area Chair ACL (2020,2021, 2022), EMNLP (2019,2021,2022), COLING (2020), AACL (2020), ICML (2022), NeurIPS (2022) CCL (2018,2019), CCKS (2016,2017), NLPCC-ICCPOL (2016) 学术团体 上海计算机学会 自然语言处理专委会 主任/发起人 (2021-) 中国中文信息学会 计算语言学专委会 执委委员 (2022-) 中国中文信息学会 语言与知识计算专委会 委员 (2017-) 中国人工智能学会 自然语言理解专委会 委员 (2014-) 中国人工智能学会 青年工作委员会 常务委员 (2016-2020) 中国中文信息学会 青年工作委员会 执委委员 (2015-2020)

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