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个人简介

Teaching Compilers: Principles, Techniques, and Tools. Natural Language Processing. Biography I received my B.S. degree in Computer Science at Nanjing University in 1999, and my PhD in Computer Science at Nanjing University in 2005. I joined the Nanjing University as an assistant professor in 2005 , worked as an associate professor from 2008, and obtained professor in 2017. I have been on leave from Nanjing University from August 2010 to September 2011 to visit EECS Department and Statistics Department at UC Berkeley. Projects Recommendation System-Oriented Finer-grained Sentiment Analysis, NSFC:61976114, 2020.1-2023.12. Research on Chinese Frame Semantic Computing Based on Linguistic Cognitive Mechanism, NSFC:61936012. 2020.1-2024.12 Key Techniques and Systems for Solving Knowledge Association and Event Reasoning Problems, MOST:2018YFB1005102. 2019.05--2022.04. Recent Selected Publications

研究领域

Language Intelligence and Knowledge Engineering (LIKE) Language Processing and Human-Machine Communication

近期论文

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R Wang, X Su, S Long, X Dai,S Huang, J Chen, Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification, EMNLP'2021 X Chen, P Jin, L Qiu, J Zhang, X Dai and J CHEN, Automatic Detection of Machine-generated Texts Is Not Reliable, Findlings of EMNLP'2021 Y Ouyang, J Ye, Y Chen, X Dai, S Huang, J Chen, Energy-based Unknown Intent Detection with Data Manipulation, Findlings of ACL'2021 Z Wu, L Wu, Q Meng, Y Xia, S Xie, T Qin, X Dai, TY Liu. Unidrop: A simple yet effective technique to improve transformer without extra cost.NAACL'2021 P Sun, Y Ouyang, W Zhang, X Dai, MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification. IJCAI'2021 B Fu, W Zhang, G Hu, X Dai, S Huang, J Chen. Dual Side Deep Context-aware Modulation for Social Recommendation. WWW'2021 W Yuan, T He, X Dai. Improving Neural Question Generation using Deep Linguistic Representation.WWW'2021 Y Cao, L He, R Ridley, X Dai. Integrating BERT and Score-based Feature Gates for Chinese Grammatical Error Diagnosis. NLPTEA'2020 R Ridley, L He, X Dai, S Huang, J Chen. Automated Cross-prompt Scoring of Essay Traits, AAAI'2021 R Wang, Robert Ridley, X Su, W Qu, X Dai. A Novel Reasoning Mechanism for Multi-Label Text Classification, Information Processing and Management 58(2), March 2021. Pengfei Sun, Yawen Ouyang, Xin-Yu Dai, et.al., Similarity Learning with Implicit-network and Explicit-network for Zero-shot Intent Detection. accepted by SCIENTIA SINCA Informatics(In Chinese). In press. Kaijia Yang, Nantao Zheng, Xin-Yu Dai, et. al., Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification, CIKM’2020. (short paper) Chengcan Yin, Zhen Wu, Xin-Yu Dai, et.al., Opinion Transmission Network for Jointly Improving Aspect-Oriented Opinion Words Extraction and Sentiment Classification, NLPCC’2020. Zhen Wu, Chengcan Yin, Xin-Yu Dai, et.al., Transformer-Based Multi-aspect Modeling for Multi-aspect Multi-sentiment Analysis, NLPCC’2020 Evaluation Workshop. Siyu Long, Ran Wang, et. al., Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension. COLING’2020. Fei Zhao, Zhen Wu, Xin-Yu Dai, Attention Transfer Network for Aspect-level Sentiment Classification, COLING’2020. Zhen Wu, Chengcan Ying, et. al., Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction, Findings of EMNLP’2020. Yawen Ouyang, Moxin Chen, Xinyu Dai, et.al., Dialogue State Tracking with Explicit Slot Connections Modeling, ACL'2020.(short paper) Danhao Zhu, Xin-Yu Dai, et.al., Sampling Informative Context Nodes for Network Embedding. Accepted by SCIENCE CHINA Information Sciences. Zhen Wu, Fei Zhao, Xin-Yu Dai, et.al., Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. AAAI'2020. Chunyang Tan, Xin-Yu Dai, et.al., MSGE: A Multi-step Gated Model for Knowledge Graph Completion.PAKDD'2020 Zhu, Danhao, Xin-Yu Dai, and Jiajun Chen. "Representing anything from scholar papers." Journal of Web Semantics 59 (2019): 100498. Dan-Hao Zhu, Xin-Yu Dai, Jia-Jun Chen. Pre-train and Learn: Preserving Global Information for Graph Neural Networks. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 33(1): 1–14. Zhifang Fan, Zhen Wu, XIN-YU DAI, Shujian Huang and Jiajun CHEN. Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. NAACL'2019 Kaijia Yang, Liang He, XIN-YU DAI, Shujian Huang and Jiajun CHEN. Exploiting Noisy Data in Distant Supervision Relation Classification. NAACL'2019. Ran Wang, Yang Song, Xin-Yu Dai, MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding. PAKDD'2019 Danhao Zhu, Xin-Yu Dai, et.al. PCANE: Preserving Context Attributes for Network Embedding. PAKDD'2019 Zhen Wu, Xin-Yu Dai, Cun-yan Yin, Shujian Huang, Jiajun Chen. Improving Review Representations with User Attention and Product Attention for Sentiment Classification. AAAI'2018. Hu, G. N., Dai, X. Y., et.al., Collaborative filtering with topic and social latent factors incorporating implicit feedback. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018:12(2), 23. Guang-Neng Hu, Xin-Yu Dai. Integrating Reviews into Personalized Ranking for Cold Start Recommendation. PAKDD'2017 Hong-Jian Xue, Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen. Deep Matrix Factorization Models for Recommender Systems. IJCAI'2017 Hao Zhou, Yue Zhang, Chuan Chen, Shujian Huang, Xin-Yu Dai, and Jiajun Chen. A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing. Journal of Artificial Intelligence Research (JAIR), Volume 58, pages 703-729. Di Shang, Xin-Yu Dai, Yi Li, Shujiang Huang, Jiajun Chen, Tagging Chinese Microblogger via Sparse Feature Selection, IJCNN'2016. Song Yunya, Xin-Yu Dai, and Jia Wang. "Not all emotions are created equal: Expressive behavior of the networked public on China's social media site." Computers in Human Behavior, 2016(60): 525-533. Deyu Zhou, Haiyang Xu, Xinyu Dai, Yulan He, Unsupervised Storyline Extraction from News Articles. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016. Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-Yu DAI, Jiajun Chen, Tree-state based Rule Selection Models for Hierarchical Phrase-based Machine Translation. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016. Guang-Neng Hu, Xin-Yu Dai, Yunya Song, Shu-Jian Huang, Jia-Jun Chen, A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews. Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, 2015. Xin-Yu Dai, Jian-Bing Zhang, Shu-Jian Huang, Jia-Jun Chen, and Zhi-Hua Zhou. Structured sparsity with group-graph regularization. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), Austin, TX, 2015. Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen, Non-linear Learning for Statistical Machine Translation. Proceedings of the the 53rd Annual Meeting of the Association for Computational (ACL'2015), Beijing, China, 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, Proceedings of the the 53rd Annual Meeting of the Association for Computational (ACL'2015), Beijing, China, 2015. Liqiang Niu Xin-Yu Dai, ShuJian Huang, Jiajun Chen. A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes, In: Proc. of the 7th Asian Conference on Machine Learning (ACML'15), Hongkong, 2015, JMLR: W&CP. Dai Xin-Yu, Cheng Chuan, Huang Shujian, Chen Jiajun. "Sentiment Classification with Graph Sparsity Regularization." Computational Linguistics and Intelligent Text Processing (CiCling'15). Springer International Publishing, 2015. 140-151.

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