毛文吉

毛文吉，女，2001-2006年就读美国南加州大学计算机系，获博士学位，1990年-1993年就读中国科学院数学研究所计算机软件专业，获硕士学位，1986年-1990年就读吉林大学计算机科学与技术系，获学士学位。

毛文吉1990年-1993年在陆汝钤院士的指导下，就读于中国科学院数学研究所。参与了国家重点攻关项目（天马）专家系统开发环境的研制。

1993年-1999年，在中国科学院研究生院计算机学部任职，1996年起任讲师。主持系统开发实验室工作并，期间参与了多项国家课题的研究与开发。

1999年-2001年，赴德国人工智能研究中心（DFKI）进行合作研究，2001年被聘为DFKI研究科学家。为欧盟四国联合项目SAID（Social Aid Interactive Developments）和DFKI研究项目Presence的主要研制人员。

2001年-2006年,在美国南加州大学的Institute for Creative Technologies （USC/ICT）任研究助理，是美国军方两项重大研究计划MRE（Mission Rehearsal Exercise）和 SASO-ST（Stability and Support Operations- Simulation and Training）中社会模拟技术的第一研制人。博士工作提出第一个基于认知科学和心理学的社会推理计算模型。

2006年9月加入中国科学院自动化研究所，任副研究员、硕士生导师。从事智能信息处理、计算智能、社会计算、情报与安全信息学等方面的研究与应用。

S. Wang, P. Wei, Q. Kong and W. Mao. A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking. Knowledge-Based Systems, accepted for publication.

H. Yang, Q. Kong, R. Zhang and W. Mao. Efficient Spiking Variational Graph Auto-Encoders for Unsupervised Graph Representation Learning Tasks. IEEE Intelligent Systems, accepted for publication.

Y. Tian, R. Zhang, N. Xu and W. Mao. Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining. Proceedings of ACL 2024.

M. Wang, N. Xu, J. Zhao, Y. Luo and W. Mao. PromISe: Releasing the Capabilities of LLMs with Prompt Introspective Search. Proceedings of COLING 2024.

Y. Tian, N. Xu and W. Mao. A Theory Guided Scaffolding Instruction Framewoek for LLM-Enabled Metaphor Reasoning. Proceedings of NAACL 2024.

H. Zou, H. Xu, Q. Kong, Y. Cao and W. Mao. Generating Relevant Article Comments via Variational Multi-Layer Fusion. Proceedings of IJCNN 2024.

N. Chen, L. Li and W. Mao. Equilibrium Strategy of Pursuit-Evasion Game in Three-Dimensional Space. IEEE/CAA Journal of Automatica Sinica (JAS), 11(2):446-458, 2024.

J. Zhao, W. Mao and D. Zeng. Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 32:1237-1247, 2024.

H. Yang, Q. Kong and W. Mao. A Deep Latent Space Model for Directed Graph Representation Learning. Neurocomputing, 576:127342, 2024.

Y. Tian, N. Xu, R. Zhang and W. Mao. Dynamic Routing Transformer Network for Multimodal Sarcasm Detection. Proceedings of ACL, pp.2468-2480, 2023.

R. Zhang, N. Xu, H. Yang, Y. Tian and W. Mao. Target-Oriented Relation Alignment for Cross-Lingual Stance Detection. Findings of ACL, pp.6391-6404, 2023.

Z. Zhao and W. Mao. Generative Adversarial Training with Perturbed Token Detection for Model Robustness. Proceedings of EMNLP, pp.13012-13025, 2023.

Y. Tian, N. Xu, W. Mao, et al. Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection. Proceedings of EMNLP, pp.7736-7752, 2023.

R. Zhang, H. Yang and W. Mao. Cross-Lingual Cross-Target Stance Detection with Dual Knowledge Distillation Framework. Proceedings of EMNLP, pp.10804-10819, 2023.

X. Xiao, Y. Tian, Y. Luo and W. Mao. A Cognitive Knowledge Enriched Joint Framework for Social Emotion and Cause Mining. Proceedings of KSEM, pp.396-405, 2023.

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 (TMM), 25:7867-7880, 2023.

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), 10(6):3241-3251, 2023.

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

X. Zhang, X. Zheng, B. Liu, X. Wang, W. Mao, et al. Towards Human-Machine Recognition Alignment: An Adversarially Robust Multimodal Retrieval Hashing Framework. IEEE Transactions on Computational Social Systems (TCSS), 10(5):2847-2859, 2023.

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.

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

Y. Sun, Q. Kong, W. Mao, et al. Multi-level News Recommendation via Modeling Candidate Interactions. Proceedings of IEEE ICBDA, pp.290-295, 2022.

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.

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.

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.

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

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

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.

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.

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.

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.

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

X. Xiao, L. Wang, Q. Kong and W. Mao. Social Emotion Cause Extraction from Online Texts. Proceedings of IEEE ISI, pp.1-6, 2020.

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.

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

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

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

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.

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.

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

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

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

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.

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.

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.

林俊杰, 王磊, 毛文吉. 面向社会事件的半监督自训练多方立场分析. 模式识别与人工智能, 31(12):1074-1084, 2018.

参考资料：^[1]

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

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

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

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

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.

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.

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

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

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

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.

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.

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

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

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.

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

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.

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

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

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

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

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

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

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.

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

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

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

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.

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

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

X. Li, W. Mao, D. Zeng, et al. Agent-Based Social Simulation and Modeling in Social Computing. Proceedings of SOCO, pp.401-412, 2008.

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.

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.

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

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.

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

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

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.

W. Mao and J. Gratch. Social Causality and Responsibility: Modeling and Evaluation. Proceedings of IVA, pp.191-204, 2005.

B. Martinovski, W. Mao, J. Gratch and S. Marsella. Mitigation Theory: An Integrated Approach. Proceedings of CogSci, pp.1407-1412, 2005.

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

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

W. Mao and J. Gratch. The Social Credit Assignment Problem. Proceedings of IVA, pp.39-47, 2003.

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

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.

毛文吉, 熊竟, 董占球. 存储与处理合一的智能系统. 计算机研究与发展, 34(2):118-123, 1997.

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.

参考资料：^[1]

李晓晨（07硕博-12，合作导师；百度/阿里）

葛安生（08硕博-13，合作导师；百度/腾讯）

苏鹏（08普博-11，合作导师；齐鲁学院）

孔庆超（11硕博-16，中国科学院自动化所）

张育浩（12硕博-17，阿里/腾讯混元）

林俊杰（13硕博-18，腾讯/字节跳动）

陈观淡（14硕博-19，阿里达摩院）

徐楠（15直博-20，中科院特别研助/中科闻歌）

韦鹏辉（16硕博-21，阿里妈妈/百度）

王帅（17直博-22，百度/Chalmers Tech Univ）

肖星琳（18普博-23，中科闻歌）

曾志雄（18硕博-23，腾讯光子）

张兴伟（19普博-22，中国科学院自动化所）

赵嘉豪（19直博-24）

杨瀚轩（20普博，在读）

张睿珂（20直博，在读）

田元（21直博，在读）

陈诺（21直博，在读）

曹艺琳（22直博，在读）

刘雪龙（22直博，在读）

何淑怡（23普博，在读）

王民政（23直博，在读）

余昭昕（24直博）

陈坤（24直博）

参考资料：^[1]

王永庆（08硕-11，中国科学院计算所）

李悦群（09硕-12，百度/阿里）

皇甫璐雯（10硕-13，San Diego State Univ）

崔宸熙（14硕-17，FreeWheel）

孔祥飞（15硕-18，滴滴出行/美团）

孙颖（19硕-22，工行北京研发中心）

汤伟（20硕-23，国家某部）

邹瀚仪（21硕-24，新浪微博）

参考资料：^[1]