夏睿的个人主页

夏睿

办公室: 江苏省南京市玄武区孝陵卫200号计算机学院3030室
E-mail: rxia at njust dot edu dot cn

个人简介

2011年6月博士毕业于中国科学院自动化研究所（模式识别国家重点实验室），师从宗成庆研究员。同年入职南京理工大学计算机学院，历任讲师（2011）、副教授（2015）、教授（2017）。担任语言信息智能处理与应用工信部重点实验室副主任、社会安全图像与视频理解江苏省重点实验室副主任、中国中文信息学会理事/情感计算专委会委员、中国计算机学会自然语言处理专委会委员、江苏省人工智能学会自然语言处理专委会副主任委员、江苏省人工智能学会数据挖掘与应用专委会副主任委员。

研究领域为人工智能、自然语言处理、文本挖掘、情感计算，目前的研究兴趣包括：情感分析与观点挖掘、信息抽取与知识图谱、人机交互与对话系统、社交媒体分析、多模态学习、常识推理、大语言模型、金融NLP等。

奖励与荣誉

2023年第61届国际计算语言学学会年会ACL 杰出论文奖（通讯）
2022年教育部高等学校科学研究优秀成果奖自然科学奖二等奖（排一）
2020年中国中文信息学会钱伟长中文信息处理奖青年创新奖一等奖
2020年第28届世界计算语言学大会COLING 最佳论文提名（通讯）
2020年江苏省杰出青年基金
2019年江苏省计算机学会青年科技奖
2019年第57届国际计算语言学学会年会ACL 杰出论文奖（一作）
2017年南京理工大学青年拔尖人才选聘计划并破格晋升为教授
2017年武汉3551光谷人才计划
2016年首届江苏省优秀青年基金
2014年南京理工大学紫金之星人才计划

代表性论文

[Google Scholar]

Chengqing Zong, Rui Xia and Jiajun Zhang, Text Data Mining, Springer, 2021.
宗成庆, 夏睿, 张家俊. 文本数据挖掘（第二版）, 清华大学出版社, 2023.

Xiangqing Shen, Siwei Wu, and Rui Xia*. Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (杰出论文奖)
Siwei Wu, Xiangqing Shen, and Rui Xia*. Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Debin Xiao, Rui Xia*, and Jianfei Yu. Emotion Cause Extraction on Social Media without Human Annotation. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Zinong Yang, Feng Xu, Jianfei Yu, and Rui Xia*. UniCOQE: Unified Comparative Opinion Quintuple Extraction as A Set. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Jianfei Yu, Ziyan Li, Jieming Wang, and Rui Xia. Grounded Multimodal Named Entity Recognition on Social Media. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Jianfei Yu, Qiankun Zhao, and Rui Xia. Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Wenjie Zheng, Jianfei Yu*, Rui Xia*, and Shijin Wang. A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
Zengzhi Wang, Qiming Xie, and Rui Xia*. A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. The Annual Conference of the Association for Computing Machinery Special Interest Group in Information Retrieval (SIGIR), Short paper, 2023.
Jieming Wang, Ziyan Li, Jianfei Yu, Li Yang, and Rui Xia. Fine-Grained Multimodal Named Entity Recognition and Grounding with a Generative Framework. The ACM International Conference on Multimedia (ACM MM), 2023.
Jiaming An, Zixiang Ding, Ke Li, and Rui Xia*. Global-view and Speaker-aware Emotion Cause Extraction in Conversations. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023.
Fanfan Wang, Zixiang Ding, Rui Xia*, Zhaoyu Li, and Jianfei Yu. Multimodal Emotion-Cause Pair Extraction in Conversations. IEEE Transaction on Affective Computing, 2023.
Yan Lin, Jianfei Yu*, and Rui Xia*. Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis. The Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
Jianfei Yu, Jieming Wang, and Rui Xia*. Multimodal Sentiment Analysis with Coarse-to-Fine Grained Image-Target Matching. The International Joint Conference on Artificial Intelligence (IJCAI), 2022.
Junjie Li, Jianfei Yu*, and Rui Xia*. Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction. The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
Jianfei Yu, Kai Chen, and Rui Xia*. Hierarchical Interactive Multimodal Transformer for Aspect-Based Multimodal Sentiment Analysis. IEEE Transactions on Affective Computing, 2022.
Ziheng Liu, Rui Xia* and Jianfei Yu. Comparative Opinion Quintuple Extraction from Product Reviews. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Hao Chen, Rui Xia*, and Jianfei Yu. Reinforced Counterfactual Data Augmentation for Dual Sentiment Classification. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Hongjie Cai, Rui Xia*, Jianfei Yu. Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions. Annual Meeting of the Association for Computational Linguistics (ACL), 2021.
Jianfei Yu, Chenggong Gong, and Rui Xia*. Cross-Domain Review Generation for Aspect-Based Sentiment Analysis. Annual Meeting of the Association for Computational Linguistics (ACL), 2021.
Hongjie Cai, Yaofeng Tu, Xiangsheng Zhou, Jianfei Yu, and Rui Xia*. Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. The International Conference on Computational Linguistics (COLING), 2020. (最佳论文提名)
Xiao Jin, Jianfei Yu, Zixiang Ding, Rui Xia*, Xiangsheng Zhou, and Yaofeng Tu. Hierarchical Multimodal Transformer with Localness and Speaker Aware Attention for Emotion Recognition in Conversations. The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020.
Rui Xia, Kaizhou Xuan, Jianfei Yu. A State-independent and Time-evolving Network with Applications to Early Rumor Detection. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Zixiang Ding, Rui Xia*, and Jianfei Yu. End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Chengqong Gong, Jianfei Yu, and Rui Xia*. Unified Feature and Instance Based Domain Adaptation for End-to-End Aspect-Based Sentiment Analysis. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Jianfei Yu, Jing Jiang, Ling Min Serena Khoo, Hai Leong Chieu, and Rui Xia. Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, and Rui Xia. Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Zixiang Ding, Rui Xia*, and Jianfei Yu. ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Jianfei Yu, Jing Jiang, Li Yang, and Rui Xia*. Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
Feng Xu, Zhenchun Pan, Rui Xia*. E-commerce Product Review Sentiment Classification Based on a Naïve Bayes Continuous Learning Framework. Information Processing and Management, 2020.
Jianfei Yu, Jing Jiang and Rui Xia. Entity-Sensitive Attention and Fusion Network for Entity-Level Multimodal Sentiment Classification. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020.
Rui Xia, Mengran Zhang, and Zixiang Ding. RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. The International Joint Conference on Artificial Intelligence (IJCAI), 2019.
Rui Xia and Zixiang Ding. Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. The Annual Meeting of the Association for Computational Linguistics (ACL), 2019. (杰出论文奖)
Zixiang Ding, Huihui He, Mengran Zhang, and Rui Xia*. From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. The AAAI Conference on Artificial Intelligence (AAAI), 2019.
Jianfei Yu, Jing Jiang and Rui Xia. Global Inference for Aspect and Opinion Terms Co-extraction based on Multi-Task Neural Networks. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2019.
Zixiang Ding, and Rui Xia*, Jianfei Yu, Xiang Li, and Jian Yang. Densely Connected Bidirectional LSTM with Applications to Sentence Classification. The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2018. (also accepted by EMNLP 2018)
Huihui He, and Rui Xia*. Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification. The CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2018. (also accepted by EMNLP 2018)
Rui Xia, Zhenchen Pan, and Feng Xu. Instance weighting with applications to cross-domain text classification via trading off sample selection bias and variance. The International Joint Conference on Artificial Intelligence (IJCAI), 2018.
Feng Xu, Jianfei Yu, and Rui Xia*. Instance-based Domain Adaptation based on Single and Multiple Logistic Approximation. IEEE Intelligent Systems, 2018.
Guangneng Hu, Xinyu Dai, Fengyu Qiu, Rui Xia, Tao Li, Shujian Huang, and Jiajun Chen. Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback. ACM Transactions on Knowledge Discovery from Data, 2018.
Rui Xia, Jie Jiang, and Huihui He. Distantly Supervised Lifelong Learning for Large-scale Social Media Sentiment Analysis. IEEE Transactions on Affective Computing, 2017.
Leyi Wang and Rui Xia*. Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
Rui Xia, Feng Xu, Jianfei Yu, Yong Qi, and Erik Cambria. Polarity Shift Detection, Elimination and Ensemble: A Three-stage Model for Document-level Sentiment Analysis. Information Processing and Management, 2016.
王科, 夏睿*. 情感词典构建方法综述. 自动化学报, 2016.
Qingqing Zhou, Rui Xia, and Chengzhi Zhang. Online shopping behavior study based on multi-granularity opinion mining: China vs. America. Cognitive Computation, 2016.
Rui Xia, Feng Xu, Chengqing Zong, Qianmu Li, Yong Qi and Tao Li. Dual Sentiment Analysis: Considering Two Sides of One Review. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2015.
Rui Xia, Cheng Wang, Xinyu Dai, and Tao Li. Co-training for Semi-supervised Sentiment Classification Based on Dual-view Bags-of-words Representation. The Annual Meeting of the Association for Computational Linguistics (ACL), 2015.
Rui Xia, Jianfei Yu, Feng Xu, and Shumei Wang. Instance-based Domain Adaptation in NLP via In-target-domain Logistic Approximation. The AAAI Conference on Artificial Intelligence (AAAI), 2014.
Rui Xia, Chengqing Zong, Xuelei Hu, and Erik Cambria. Feature Ensemble plus Sample Selection: Domain Adaptation for Sentiment Classification. IEEE Intelligent Systems, 2013.
Rui Xia, Xuelei Hu, Jianfeng Lu, Jian Yang, and Chengqing Zong. Instance Selection and Instance Weighting for Cross-domain Sentiment Classification via PU Learning. The International Joint Conference on Artificial Intelligence (IJCAI), 2013.
Rui Xia, Tao Wang, Xuelei Hu, Shoushan Li, and Chengqing Zong. Dual Training and Dual Prediction for Polarity Classification. The Annual Meeting of the Association for Computational Linguistics (ACL), 2013.
Rui Xia, Chengqing Zong, and Shoushan Li. Ensemble of Feature Sets and Classification Algorithms for Sentiment Classification. Information Sciences, 2011.
Rui Xia and Chengqing Zong. A POS-based ensemble model for cross-domain sentiment classification. The International Joint Conference on Natural Language Processing (IJCNLP), 2011.
Rui Xia and Chengqing Zong. Exploring the Use of Word Relation Features for Sentiment Classification. The International Conference on Computational Linguistics (COLING), 2010.
Shoushan Li, Rui Xia, Chengqing Zong, and Chu-Ren Huang. A Framework of Feature Selection Methods for Text Categorization. The Annual Meeting of the Association for Computational Linguistics (ACL), 2009.
Rui Xia, Ke Meng, Feng Qian, and Zhenlei Wang. Online Wavelet Denoising via a Moving Window. ACTA Automatic Sinica, 2007.

讲授课程

机器学习本科生课程
Advanced Machine Learning 研究生课程（英文）

指导学生

目前每年可以招收1~2名博士生、4名硕士生，欢迎勤奋好学、踏实肯干，有较好的数学、英语基础和编程能力（需英语六级>500或有ACM获奖经历），且对人工智能、自然语言处理、机器学习、数据挖掘领域感兴趣的同学与我联系。

2023级宋禹润（直博生）
2022级谢淇名（硕博生）
2022级朱耀辰（直博生）
2022级杨子农（博士生），在读期间发表顶会论文ACL2023
2022级郑文杰（博士生），在读期间发表顶会论文ACL2023
2019级汪帆帆（硕博生），在读期间发表顶刊论文IEEE-TAFFC2023
2020级沈祥清（博士生），在读期间发表顶会论文ACL2023*2，获得ACL2023杰出论文奖
2017级蔡鸿杰（硕博生），在读期间发表顶会论文ACL2021、COLING2020，获得COLING2020最佳论文提名
2016级丁子祥（硕博生），在读期间发表顶会论文ACL2020、EMNLP2020、ACL2019、AAAI2019、IJCAI2019，获得ACL2019杰出论文奖，毕业去向：同花顺科技（杭州）（获得腾讯AI Lab、阿里达摩院、字节跳动、百度等offer）
2022级李紫嫣（硕士生），在读期间发表顶会论文ACL2023
2022级马禾青（硕士生）
2021级李可（硕士生）
2021级宋楠（硕士生）
2021级王增志（硕士生），在读期间发表顶会论文SIGIR2023
2021级吴思为（硕士生），在读期间发表顶会论文ACL2023*2，获得ACL2023杰出论文奖
2020级安佳明（硕士生），在读期间发表顶刊论文IEEE/ACM-TASLP2023，毕业去向：阿里（杭州）
2020级凌焱（硕士生），在读期间发表顶会论文ACL2022，获得国家奖学金，毕业去向：科大讯飞（合肥）
2020级刘世杰（硕士生）
2020级肖德斌（硕士生），在读期间发表顶会论文ACL2023，毕业去向：OPPO（深圳）
2019级陈浩（硕士生），在读期间发表顶会论文EMNLP2021，获得国家奖学金，毕业去向：网易（杭州）
2019级李庆贺（硕士生），毕业去向：字节跳动（上海）
2019级李兆宇（硕士生）
2019级刘子恒（硕士生），在读期间发表顶会论文EMNLP2021，获得国家奖学金，毕业去向：字节跳动（北京）
2018级陈恺（硕士生），在读期间发表顶刊论文IEEE-TAFFC2022，毕业去向：百度（上海）
2018级宫成功（硕士生），在读期间发表顶会论文ACL2021、EMNLP2020，毕业去向：同花顺科技（杭州）
2018级金晓（硕士生），毕业去向：江苏银行总行（南京）
2018级李成路（硕士生），毕业去向：中国电信（常州）
2017级宣凯洲（硕士生），在读期间发表顶会论文EMNLP2020，毕业去向：招行网络（杭州）
2017级张梦冉（硕士生），在读期间发表顶会论文IJCAI2019，毕业去向：滴滴（北京）
2016级何烩烩（硕士生），在读期间发表顶会论文AAAI2019，毕业去向：百度（上海）
2015级何声欢（硕士生），毕业去向：小米（北京）
2015级李银波（硕士生），毕业去向：中兴（上海）
2015级王乐义（硕士生），在读期间发表顶会论文EMNLP2018，获得国家奖学金，毕业去向：百度（北京）
2015级郑士梁（硕士生），毕业去向：阿里（杭州）
2014级姜杰（硕士生），在读期间发表顶刊论文IEEE-TAFFC2018，毕业去向：美团（上海）-> 百度（上海）
2014级潘振春（硕士生），在读期间发表顶会论文IJCAI2018，毕业去向：华为（南京）
2014级尹通（硕士生），毕业去向：华为（南京）
2013级刘超（硕士生、国防生），毕业去向：东部战区
2013级王科（硕士生），在读期间发表自动化学报2016，毕业去向：华为（南京）
2012级王成（硕士生），在读期间发表顶会论文ACL2015，毕业去向：百度（上海）
2012级虞剑飞（硕士生、合作指导），在读期间发表顶会论文AAAI2014，毕业去向：新加坡管理大学读博->南京理工大学计算机学院教职
2011级汪涛（硕士生、合作指导），在读期间发表顶会论文ACL2013，毕业去向：美团（北京）->阿里（杭州）

最后更新: 2023.9.14