English | Chinese

Rui Xia

Professor
School of Computer Science and Engineering
Nanjing University of Science and Technology

Office: Rm. 3030 School of Computer Science, No. 200 Xiaolingwei Road, Nanjing 210094, China
E-mail: rxia at njust dot edu dot cn

Biography

I am a full professor at School of Computer Science and Engineering, Nanjing University of Science and Technology. I received my Ph.D degree at National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences in 2011, under the supervision of Prof. Chengqing Zong. My research fields include Artificial Intelligence, Natural Language Processing, Text Mining, and Affective Computing.

Currently, I am interested in the following topics: sentiment analysis and opinion mining, information extraction and knowledge graph, human-machine interaction and dialogue system, social media analysis, multimodal machine learning, commonsense knowledge reasoning, large language model, financial NLP, etc.

Selected Publication

• Chengqing Zong, Rui Xia and Jiajun Zhang, Text Data Mining, Springer, 2021.
• Chengqing Zong, Rui Xia and Jiajun Zhang, Text Data Mining (2nd edition), Tsinghua University Press, 2023. (in Chinese)

• 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. (Outstanding Paper Award)
• 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. The 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. The 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. (Best Paper Candidate)
• 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 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. (Outstanding Paper Award)
• 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.
• 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.
• 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.
• 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)
• 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.
• Ke Wang, Rui Xia*. A Survey on Automatical Construction Methods of Sentiment Lexicons. ACTA Automatica Sinica, 2016. (in Chinese)
• 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.

Professional Service

• Demo Co-Chair: ACL2021
• Area Chair/Co-Chair: NLPCC2022, EMNLP2021, EMNLP2020, COLING2020, EMNLP2019, NLPCC2016
• Tutorial Co-Chair: NLPCC2020
• Senior Program Committee Member: AAAI2022, IJCAI2021, IJCAI2020, AAAI2019, IJCAI2018
• Program Committee Member: ACL, EMNLP, NAACL, COLING, IJCAI, AAAI, NLPCC, CCL, etc.

• Editorial Board Member: Natural Language Processing Research (2019-)
• Journal Reviewer: IEEE TKDE, IEEE TAFFC, IEEE/ACM TASLP, ACM TOIT, ACM TKDD, ACM TIST, ACM TALIP, DAMI, IPM, IEEE IS, IEEE CIM, LREV, KBS, Neurocomputing, Cognitive Computation, Artificial Intelligence Review, Multimedia Tools and Applications, JCST, SCIENCE CHINA, Chinese Journal of Computers, ACTA Automatic Sinica, etc.

Teaching

• Machine Learning for undergraduate students (in Chinese)
• Advanced Machine Learning for graduate students

Students

I can recruit 1~2 Chinese Ph.D. candidate and 4 Chinese master candidates every year. I welcome students with strong mathematics/English foundation and good programming skills to contact me. I do NOT recruit foreign master students, but I do recruit foreign Ph.D candidates who have had at least one English publication in Artificial Intelligence or Computer Science.

• 2023 Yurun Song (Ph.D. Candidate)
• 2022 Qiming Xie (Ph.D. Candidate)
• 2022 Yaochen Zhu (Ph.D. Candidate)
• 2022 Zinong Yang (Ph.D. Candidate)
• 2022 Wenjie Zheng (Ph.D. Candidate)
• 2020 Xiangqing Shen (Ph.D. Candidate)
• 2019 Fanfan Wang (Ph.D. Candidate)
• 2017 Hongjie Cai (Ph.D. Candidate)
• 2016 Zixiang Ding (Ph.D.), 10JPKA (Hangzhou)
• 2022 Ziyan Li (Master Candidate)
• 2022 Heqing Ma (Master Candidate)
• 2021 Ke Li (Master Candidate)
• 2021 Nan Song (Master Candidate)
• 2021 Zengzhi Wang (Master Candidate)
• 2021 Siwei Wu (Master Candidate)
• 2020 Jiaming An (Master Candidate)
• 2020 Junjie Li (Master Candidate)
• 2020 Yan Ling (Master Candidate)
• 2020 Shijie Liu (Master Candidate)
• 2020 Debing Xiao (Master Candidate)
• 2019 Hao Chen (Master), NetEase (Hangzhou)
• 2019 Qinghe Li (Master), ByteDance (Shanghai)
• 2019 Zhaoyu Li (Master)
• 2019 Ziheng Liu (Master), ByteDance (Beijing)
• 2018 Kai Chen (Master), Baidu (Shanghai)
• 2018 Chenggong Gong (Master), 10JPKA (Hangzhou)
• 2018 Xiao Jin (Master), Jiangsu Bank (Nanjing)
• 2018 Chenglu Li (Master)
• 2017 Kaizhou Xuan (Master), CMB Network (Hangzhou)
• 2017 Mengran Zhang (Master), Didi (Beijing)
• 2016 Huihui He (Master), Baidu (Shanghai)
• 2015 Shenghuan He (Master), Xiaomi (Beijing)
• 2015 Yinbo Li (Master), ZTE (Shanghai)
• 2015 Leyi Wang (Master), Baidu (Beijing)
• 2015 Shiliang Zheng (Master), Alibaba (Hangzhou)
• 2014 Jie Jiang (Master), Meituan (Shanghai) -> Baidu (Shanghai)
• 2014 Zhenchun Pan (Master), Huawei (Nanjing)
• 2014 Tong Yin (Master), Huawei (Nanjing)
• 2013 Chao Liu (Master), Eastern Theater PLA (Fuzhou)
• 2013 Ke Wang (Master), Huawei (Nanjing)
• 2012 Cheng Wang (Master), Baidu (Shanghai)
• 2012 Jianfei Yu (Master), SMU (Ph.D) -> NJUST
• 2011 Tao Wang (Master), Meituan (Beijing) -> Alibaba (Hangzhou)

Last update: 2023.9.14