毛文吉

主要发表论文：

[1] Y. Tian, N. Xu, R. Zhang and W. Mao. Dynamic Routing Transformer Network for Multimodal Sarcasm Detection. Proceedings of ACL 2023, accepted.

[2] R. Zhang, N. Xu, H. Yang, Y. Tian and W. Mao. Target-Oriented Relation Alignment for Cross-Lingual Stance Detection. Findings of ACL 2023, accepted.

[3] N. Xu, J. Wang, Y. Tian, R. Zhang and W. Mao. AnANet: Association and Alignment Network for Modeling Implicit Relevance in Cross-model Correlation Classification. IEEE Transactions on Multimedia, online.

[4] X. Zhang, X. Zheng, W. Mao, et al. Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection against Automatic Retrieval Models. IEEE Transactions on Computational Social Systems (TCSS), online.

[5] X. Xiao, W. Mao, Y. Sun, et al. A Cognitive Model Enhanced Sequential Method for Social Emotion Cause Identification. Information Processing & Management, 60(3):103305, 2023.

[6] Z. Zeng, N. Xu, W. Mao, et al. An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval. IEEE Intelligent Systems, 37(3):45-53, 2022.

[7] S. Wang, W. Mao, P. Wei, et al. Knowledge Structure Driven Prototype Learning and Verification for Fact Checking. Knowledge-Based Systems, 238:107910, 2022.

[8] Z. Zeng, Y. Sun and W. Mao. Multimodal Coordinated Clustering Network for Large-Scale Cross-Modal Retrieval. Proceedings of ACM MM, pp.5427-5435, 2021.

[9] J. Zhao, P. Wei and W. Mao. Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. Proceedings of SIGIR, pp.1778-1782, 2021.

[10] Z. Zeng, S. Wang, N. Xu and W. Mao. PAN: Prototype-based Adaptive Network for Robust Cross-Modal Retrieval. Proceedings of SIGIR, pp.1125-1134, 2021.

[11] S. Wang and W. Mao. Modeling Inter-Cliam Interactions for Verifying Multiple Claims.  Proceedings of ACM CIKM, pp.3503-3507, 2021.

[12] X. Zhang, X. Zheng and W. Mao. Adversarial Perturbation Defense on Deep Neural Networks. ACM Computing Surveys (CSUR), 54(8):159, 2021.

[13] P. Wei, J. Zhao and W. Mao. A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 29:1650-1660, 2021.

[14] N. Xu, W. Mao, P. Wei, et al. MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks. IEEE Intelligent Systems, 36(6):3-12, 2021.

[15] P. Wei, J. Zhao and W. Mao. Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. Proceedings of ACL, pp.3171-3181, 2020.

[16] N. Xu, Z. Zeng and W. Mao. Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association. Proceedings of ACL, pp.3777-3786, 2020.

[17] Z. Zeng, N. Xu and W. Mao. Event-Driven Network for Cross-Modal Retrieval. Proceedings of ACM CIKM, pp.2297-2300, 2020.

[18] Q. Kong, W. Mao, G. Chen, et al. Exploring Trends and Patterns of Popularity Stage Evolution in Social Media. IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMC), 50(10):3817-3827, 2020.

[19] P. Wei, W. Mao and G. Chen. A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. Proceedings of AAAI, pp.7249-7256, 2019.

[20] N. Xu, W. Mao and G. Chen. Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis. Proceedings of AAAI, pp.371-378, 2019.

[21] P. Wei and W. Mao. Modeling Transferable Topics for Cross-Target Stance Detection. Proceedings of SIGIR, pp.1173-1176, 2019.

[22] P. Wei, N. Xu and W. Mao. Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. Proceedings of EMNLP, pp.4789-4800, 2019.

[23] J. Lin, Q. Kong, W. Mao, et al. A Topic Enhanced Approach to Detecting Multiple Standpoints in Web Texts. Information Sciences, 501:483-494, 2019.

[24] G. Chen, Q. Kong, N. Xu and W. Mao. NPP: A Neural Popularity Prediction Model for Social Media Content. Neurocomputing, 333:221-230, 2019.

[25] N. Xu, W. Mao and G. Chen. A Co-Memory Network for Multimodal Sentiment Analysis. Proceedings of SIGIR, pp.929-932, 2018.

[26] P. Wei, J. Lin and W. Mao. Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. Proceedings of SIGIR, pp.1229-1232, 2018.

[27] G. Chen, N. Xu and W. Mao. An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media. Proceedings of ACM CIKM, pp.1575-1578, 2018.

[28] N. Xu, G. Chen and W. Mao. MNRD: A Merged Neural Model for Rumor Detection in Social Media. Proceedings of IJCNN, pp.885-891, 2018.

[29] P. Wei, W. Mao and D. Zeng. A Target-Guided Neural Memory Model for Stance Detection in Twitter. Proceedings of IJCNN, pp. 2068-2075, 2018.

[30] J. Lin, W. Mao and D. Zeng. Personality-based Refinement for Sentiment Classification in Microblog. Knowledge-Based Systems, 132:204-214, 2017.

[31] N. Xu and W. Mao. MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis. Proceedings of ACM CIKM, pp.2399-2402, 2017.

[32] J. Lin, W. Mao and Y. Zhang. An Enhanced Topic Modeling Approach to Multiple Stance Identification. Proceedings of ACM CIKM, pp.2167-2170, 2017.

[33] Y. Zhang, W. Mao and J. Lin. Dynamic Topic Modeling in Short Texts. Proceedings of IEEE ICBK, pp.315-319, 2017.

[34] C. Cui, W. Mao, X. Zheng, et al. Mining User Intents in Online Interactions: Applying to Discussions about Medical Event on Sina Weibo. Proceedings of ICSH, pp.177-183, 2017.

[35] Y. Zhang, W. Mao and D. Zeng. A Non-Parametric Topic Model for Short Texts Incorporating Word Coherence Knowledge. Proceedings of ACM CIKM, pp.2017-2020, 2016.

[36] Q. Kong, W. Mao and C. Liu. Popularity Prediction Based on Interactions of Online Contents. Proceedings of CCIS, pp.1-5, 2016.

[37] L. Zhou, L. Kaati, W. Mao, et al (Eds.). Intelligence and Security Informatics. IEEE Press, 2015.

[38] Y. Zhang, W. Mao and D. Zeng. Constructing Topic Hierarchies from Social Media Data. Proceedings of ICDM Workshops (ISI-ICDM), pp.1015-1018, 2015.

[39] D. Zeng and W. Mao. Supporting Global Collective Intelligence via Artificial Intelligence. IEEE Intelligent Systems, 29(2):2-4, 2014.

[40] 毛文吉, 曾大军. 基于认知和社会心理学的行为评估与情感建模. 社会物理学: 社会治理, 第24-37页. 科学出版社, 2014.

[41] 孔庆超, 毛文吉. 基于动态演化的讨论帖流行度预测. 软件学报, 25(12):2767−2776, 2014.

[42] W. Mao and J. Gratch. Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract. Proceedings of IJCAI, pp.3166-3170, 2013.

[43] L. Huangfu, W. Mao, D. Zeng, et al. OCC Model-Based Emotion Extraction from Online Reviews. Proceedings of IEEE ISI, pp.116-121, 2013.

[44] P. Su, W. Mao and D. Zeng. An Empirical Study of Cost-Sensitive Learning in Cultural Modeling. Information Systems and e-Business Management (ISeB), 11(3):437-455, 2013.

[45] C. Yang, W. Mao, X. Zheng, et al (Eds.). Intelligent Systems for Security Informatics. Elsevier, 2013.

[46] W. Mao and J. Gratch. Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions. Journal of Artificial Intelligence Research (JAIR), 44:223-273, 2012.

[47] W. Mao, J. Gratch and X. Li. Probabilistic Plan Inference for Group Behavior Prediction. IEEE Intelligent Systems, 27(4):27-36, 2012.

[48] P. Su, W. Mao, D. Zeng, et al. Mining Actionable Behavioral Rules. Decision Support Systems, 54(1):142-152, 2012.

[49] Y. Wang, W. Mao, D. Zeng, et al. Listwise Approaches Based on Feature's Ranking Discovery. Frontiers of Computer Science, 6(6):647-659, 2012.

[50] D. Zhang, W. Mao, J. Zhan, et al. Special Issue on Social Computing and E-business. Information Systems and E-Business Management (ISeB), 10(2):161-163, 2012.

[51] X. Li, W. Mao and D. Zeng. Forecasting Complex Group Behavior via Multiple Plan Recognition. Frontiers of Computer Science, 6(1):102-110, 2012.

[52] W. Mao and F. Wang. Advances in Intelligence and Security Informatics. Academic Press, 2012.

[53] 王飞跃, 李晓晨, 毛文吉等. 社会计算的基本方法与应用. 浙江大学出版社, 2012.

[54] W. Mao, A. Ge and X. Li. From Causal Scenario to Social Causality: An Attributional Approach. IEEE Intelligent Systems, 26(6):48-57, 2011.

[55] Z. Liu, D. Yang, D. Wen, W. Zhang and W. Mao. Cyber-Physical-Social Systems for Command and Control. IEEE Intelligent Systems, 26(4):92-96, 2011.

[56] W. Mao, A. Tuzhilin and J. Gratch. Social and Economic Computing. IEEE Intelligent Systems, 26(6):19-21, 2011.

[57] X. Li, W. Mao, D. Zeng, et al. Automatic Construction of Domain Theory for Attack Planning. Proceedings of IEEE ISI, pp.65-70, 2010.

[58] Q. Yang, Z. Zhou, W. Mao, et al. Social Learning. IEEE Intelligent Systems, 25(4):9-11, 2010.

[59] X. Li, W. Mao, D. Zeng, et al. Performance Evaluation of Machine Learning Methods in Cultural Modeling. Journal of Computer Science and Technology (JCST), 24(6):1010-1017, 2009.

[60] B. Martinovski and W. Mao. Emotion as an Argumentation Engine: Modeling the Role of Emotion in Negotiation. Group Decision and Negotiation (GDN), 18(3):235-259, 2009.

[61] W. Mao and J. Gratch. Modeling Social Inference in Agent Society. AI & Society, 24(1):5-11, 2009.

[62] F. Wang, N. Sun, W. Mao, et al. Special Section on International Partnership Program. Journal of Computer Science and Technology (JCST), 24(6):997-999, 2009.

[63] X. Li, W. Mao, D. Zeng, et al. Agent-Based Social Simulation and Modeling in Social Computing. Proceedings of 1st International Workshop on Social Computing (SOCO), pp.401-412, 2008.

[64] X. Li, D. Zeng, W. Mao, et al. Online Communities: A Social Computing Perspective. Proceedings of 1st International Workshop on Social Computing (SOCO), pp.355-365, 2008.

[65] 毛文吉. 多智能体交互环境下的社会推理计算模型. 模式识别与人工智能, 21(6):713-720, 2008.

[66] 毛文吉. 基于MASIM的社会推理与计算系统. 系统科学与数学, 28(11):1432-1440, 2008.

[67] F. Wang, D. Zeng, K. Carley and W. Mao. Social Computing: From Social Informatics to Social Intelligence. IEEE Intelligent Systems, 22(2):79-83, 2007.

[68] W. Mao and J. Gratch. Modeling Social Inference in Virtual Agents. Proceedings of SID, pp.81-94, 2007.

[69] J. Gratch, S. Marsella and W. Mao. Towards a Validated Model of Emotional Intelligence. Proceedings of AAAI, pp.1613-1616, 2006.

[70] W. Mao and J. Gratch. Evaluating a Computational Model of Social Causality and Responsibility. Proceedings of AAMAS, pp.985-992, 2006.

[71] J. Gratch, W. Mao and S. Marsella. Modeling Social Emotions and Social Attributions. In: R. Sun (Ed.), Cognition and Multi-Agent Interaction: Extending Cognitive Modeling to Social Simulation, pp.219-251. Cambridge University Press, 2006.

[72] B. Martinovski, W. Mao, J. Gratch, et al. Mitigation Theory: An Integrated Approach. Proceedings of CogSci, pp.1407-1412, 2005.

[73] W. Mao and J. Gratch. Social Judgment in Multiagent Interactions. Proceedings of AAMAS, pp.210-217, 2004.

[74] W. Mao and J. Gratch. A Utility-Based Approach to Intention Recognition. AAMAS Workshop on Agent Tracking: Modeling Other Agents from Observation (MOO), 2004.

[75] R. Lu and W. Mao. Automatic Generation of ITS from English Text. Proceedings of ICCE, pp.319-324, 1998.

[76] 毛文吉, 陆汝钤. 基于SELD描述语言的英文文本知识自动获取. 计算机学报, 21(suppl.):105-111, 1998.

[77] R. Lu, C. Cao, Y. Chen, W. Mao, et al. A PNLU Approach to Automatic Generation of ICAI Systems. Science in China (Series A), 38(suppl.):1-11, 1995.