发表论文
[1] Yubing Ren, Ping Guo, 曹亚男, Wei Ma. Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models. ACL. 2024, 第 3 作者 通讯作者 null(null): https://aclanthology.org/2024.findings-acl.327.pdf.[2] Yubing Ren, 曹亚男, Hao Li, Yingjie Li, Zixuan Ma, , Fang Fang, Ping Guo, Wei Ma. Deie: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. LREC-COLING. 2024, 第 2 作者 通讯作者 null(null): https://aclanthology.org/2024.lrec-main.410.pdf.[3] Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, 曹亚男. Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. ACL. 2024, 第 9 作者 通讯作者 null(null): [4] Yanhe Fu, 曹亚男, 王青悦, Yi Liu. TISE: A Tripartite In-context Selection Method for Event Argument Extraction. NAACL. 2024, 第 2 作者 通讯作者 null(null): https://aclanthology.org/2024.naacl-long.101/.[5] Shi, Fengzhao, 曹亚男, Li, Ren, Lin, Xixun, Shang, Yanmin, Zhou, Chuan, Wu, Jia, Pan, Shirui. VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS[J]. 2024, 第 2 作者 通讯作者 27(3): http://dx.doi.org/10.1007/s11280-024-01261-8.[6] Yu Liu, 曹亚男, 王石, Qingyue Wang, Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs. WSDM[J]. 2024, 第 2 作者 通讯作者 null(null): [7] 佀庆一, Tong Wang, 林政, Xu Zhang, Yanan Cao, 王伟平. An Empirical Study of Instruction-tuning Large Language Models in Chinese. EMNLP23. 2023, 第 5 作者null(null): [8] Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang. Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction. EMNLP. 2023, 第 2 作者 通讯作者 [9] Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren, Qingyue Wang, Fang Fang, Cong Cao. A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction. NLPCC. 2023, 第 3 作者[10] 周玉晨, 曹亚男, 尚燕敏, 周川, 潘石瑞, 林政, 李倩. Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. TOIS[J]. 2023, 第 2 作者 通讯作者 [11] Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, Zheng Lin. SERI: SKETCHING-REASONING-INTEGRATING PROGRESSIVE WORKFLOW FOR EMPATHETIC RESPONSE GENERATION. ICASSP. 2023, 第 2 作者 通讯作者 [12] Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin. Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. ACL. 2023, 第 2 作者 通讯作者 [13] Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang:. Multi-Aspect Heterogeneous Graph Augmentation. WWW. 2023, 第 2 作者 通讯作者 [14] Chenxu Yang, 林政, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, 王伟平. Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP23. 2023, 第 8 作者[15] Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang. Multi-Aspect Heterogeneous Graph Augmentation. International World Wide Web Conferences. 2023, 第 2 作者 通讯作者 [16] Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He. DIFFUSEMP: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. ACL. 2023, 第 3 作者 通讯作者 [17] Yi Liu, Yuan Tian, Jianxun Lian, XinlongWang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang. Towards Better Entity Linking with Multi-View Enhanced Distillation. ACL. 2023, 第 5 作者 通讯作者 [18] Lin, Xixun, Zhou, Chuan, Wu, Jia, Yang, Hong, Wang, Haibo, Cao, Yanan, Wang, Bin. Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. PATTERN RECOGNITION[J]. 2023, 第 6 作者133: http://dx.doi.org/10.1016/j.patcog.2022.109042.[19] 佀庆一, Yuanxin Liu, 林政, 付鹏, Yanan Cao, 王伟平. Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. EMNLP23. 2023, 第 5 作者[20] 刘源鑫, 孟凡东, 林政, 付鹏, 曹亚男, 王伟平, 周杰. Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACL. 2022, 第 5 作者[21] Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu. Semantics-Guided Disentangled Learning for Recommendation. PAKDD. 2022, 第 5 作者[22] 佀庆一, 孟凡东, 郑明钰, 林政, 刘源鑫, 付鹏, 曹亚男, 王伟平, 周杰. Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP. 2022, 第 7 作者http://arxiv.org/abs/2210.04692.[23] 李江楠, 孟凡东, 林政, 刘睿, 付鹏, 曹亚男, 王伟平, 周杰. Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. IJCAI. 2022, 第 6 作者[24] 佀庆一, 刘源鑫, 孟凡东, 林政, 付鹏, 曹亚男, 王伟平, 周杰. Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP. 2022, 第 6 作者http://arxiv.org/abs/2210.04563.[25] 谭宇彤, 林政, 付鹏, 王岚睿, 曹亚男, 王伟平. Detach and Attach: Stylized Image Captioning without Paired Stylized Dataset. ACM MM. 2022, 第 5 作者[26] Li, Ren, Cao, Yanan, Zhu, Qiannan, Bi, Guanqun, Fang, Fang, Liu, Yi, Li, Qian. How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI. 2022, 第 2 作者http://arxiv.org/abs/2109.11800.[27] 石逢钊, 曹亚男, 尚燕敏, 周玉晨, 周川, 吴佳. H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. WWW. 2022, 第 2 作者 通讯作者 null(null): https://dl.acm.org/doi/10.1145/3485447.3512195.[28] Ruipeng Jia, Xingxing Zhang, 曹亚男, Shi Wang, 林政, Furu Wei. Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization.. ACL. 2022, 第 3 作者 通讯作者 [29] 任昱冰, 曹亚男, 方芳, 郭平, 马伟, 林政, 刘益. CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. COLING. 2022, 第 2 作者[30] Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li. Task-level Relations Modelling for Graph Meta-learning. 2022 IEEE International Conference on Data Mining (ICDM-22). 2022, 第 2 作者 通讯作者 [31] Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu. API-GNN: Attribute Preserving Oriented Interactive Graph Neural Network. WWWJ[J]. 2022, 第 3 作者 通讯作者 [32] 刘源鑫, 孟凡东, 林政, 李江楠, 付鹏, 曹亚男, 王伟平, 周杰. A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPS. 2022, 第 6 作者http://arxiv.org/abs/2210.05211.[33] Tang, Hengzhu, Cao, Yanan, Zhang, Zhenyu, Jia, Ruipeng, Fang, Fang, Wang, Shi, IEEE. MULTI-GRANULARITY HETEROGENEOUS GRAPH FOR DOCUMENT-LEVEL RELATION EXTRACTION. 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)[J]. 2021, 第 2 作者 通讯作者 7683-7687, [34] Kang, Zhezhou, Cao, Yanan, Shang, Yanmin, Liang, Tao, Tang, Hengzhu, Tong, Lingling, Karlapalem, K, Cheng, H, Ramakrishnan, N, Agrawal, RK, Reddy, PK, Srivastava, J, Chakraborty, T. Fake News Detection with Heterogenous Deep Graph Convolutional Network. PAKDD[J]. 2021, 第 2 作者 通讯作者 12712: 408-420, [35] Lin, Xixun, Wu, Jia, Zhou, Chuan, Pan, Shirui, Cao, Yanan, Wang, Bin. Task-adaptive Neural Process for User Cold-Start Recommendation. WWW 2021. 2021, 第 5 作者http://arxiv.org/abs/2103.06137.[36] Li, Xiaoxue, Cao, Yanan, Li, Qian, Shang, Yanmin, Li, Yangxi, Liu, Yanbing, Xu, Guandong. RLINK: Deep reinforcement learning for user identity linkage. WWWJ[J]. 2021, 第 2 作者 通讯作者 24(1): 85-103, https://www.webofscience.com/wos/woscc/full-record/WOS:000557222400001.[37] 资康莉, 王石, Yanan Cao, Yu Liu, Jicun Li, Cungen Cao. SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. EMNLP. 2021, 第 3 作者[38] Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang. Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. AAAI[J]. 2021, 第 2 作者 通讯作者 [39] Zheng Fang, Yanan Cao, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu. TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. EMNLP[J]. 2021, 第 2 作者 通讯作者 [40] Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang. Deep Differential Amplifier for Extractive Summarization. ACL[J]. 2021, 第 2 作者[41] Lin, Xixun, Zhou, Chuan, Yang, Hong, Wu, Jia, Wang, Haibo, Cao, Yanan, Wang, Bin, Plant, C, Wang, H, Cuzzocrea, A, Zaniolo, C, Wu, X. Exploratory Adversarial Attacks on Graph Neural Networks. 20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020). 2020, 第 6 作者1136-1141, [42] Zhu, Shichao, Pan, Shirui, Zhou, Chuan, Wu, Jia, Cao, Yanan, Wang, Bin. Graph Geometry Interaction Learning. NEURIPS[J]. 2020, 第 5 作者http://arxiv.org/abs/2010.12135.[43] Li, Jinpeng, Zhang, Chuang, Chen, Xiaojun, Cao, Yanan, Jia, Ruipeng, IEEE. Improving Abstractive Summarization with Iterative Representation. IJCNN[J]. 2020, 第 4 作者[44] Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu. Type-aware Anchor Link Prediction across Heterogeneous Networks based on Graph Attention Network. AAAI[J]. 2020, 第 3 作者 通讯作者 [45] Yanbing Liu. High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. The Web Conference (WWW). 2020, [46] 尚燕敏, 曹亚男, 刘燕兵. 基于异构社交网络信息和内容信息的事件推荐. 软件学报[J]. 2020, 第 2 作者31(4): 1212-1224, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=RJXB202004023&v=MDY5NTN5L2hXNzNLTnlmVGJMRzRITkhNcTQ5SFo0UjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3FlWnVkdkY=.[47] Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, jianlong tan. DistilSum: Distilling the Knowledge for Extractive Summarization. The 29th ACM International Conference on Information and Knowledge Management (CIKM)[J]. 2020, 第 2 作者 通讯作者 [48] Shaokang Zhang, Huailiang Peng, Yanan Cao, Lei Jiang, Qiong Dai, Jianlong Tan. Category-Level Adversarial Network for Cross-Domain Sentiment Classification. KSEM 2020. 2020, 第 3 作者[49] Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang. Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP[J]. 2020, 第 2 作者 通讯作者 [50] Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin. HIN: Hierarchical Inference Network for Document-Level Relation Extraction. PAKDD (BEST PAPER)[J]. 2020, 第 2 作者12084: 197-209, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206265/.[51] 尚燕敏, 曹亚男, 刘燕兵. 基于异构社交网络信息和内容信息的事件推荐方法. 软件学报[J]. 2020, 第 2 作者 通讯作者 [52] Fang Zheng, Cao Yanan, Zhang Dongjie, Li Qian, Zhang Zhenyu, Liu Yanbing, Assoc Comp Machinery. Joint Entity Linking with Deep Reinforcement Learning. WWW[J]. 2019, 第 2 作者 通讯作者 438-447, http://dx.doi.org/10.1145/3308558.3313517.[53] Shang Yanmin, Kang Zhezhou, Cao Yanan, Zhang Dongjie, Li Yangxi, Li Yang, Liu Yanbing, IEEE. PAAE: A Unified Framework for Predicting Anchor Links with Adversarial Embedding. ICME[J]. 2019, 第 3 作者 通讯作者 682-687, [54] Li, Jinpeng, Zhang, Chuang, Chen, Xiaojun, Cao, Yanan, Liao, Pengcheng, Zhang, Peng, IEEE. Abstractive Text Summarization with Multi-Head Attention. IJCNN[J]. 2019, 第 4 作者[55] 尚燕敏, 曹亚男, 韩毅, 李阳, 张闯. 基于主题和大众影响的用户动态行为倾向预测. 计算机学报[J]. 2018, 第 2 作者41(7): 1431-1447, http://lib.cqvip.com/Qikan/Article/Detail?id=7000685948.[56] Yanbing Liu. Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. ICANN. 2018, [57] 郭莉, 曹亚男, 苏马婧, 尚燕敏, 朱宇佳, 张鹏, 周川. 网络空间资源测绘:概念与技术. 信息安全学报[J]. 2018, 第 2 作者3(4): 1-14, http://jcs.iie.ac.cn/xxaqxb/ch/reader/view_abstract.aspx?file_no=20180401&flag=1.[58] Yanan Cao. A Sequence learning Model for Chinese Named Entity Recognition. KSEM. 2018, 第 1 作者 通讯作者 [59] Kang, Zhezhou, Li, Xiaoxue, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Guo, Li, Kurkova, V, Manolopoulos, Y, Hammer, B, Iliadis, L, Maglogiannis, I. Hierarchical Attention Networks for User Profile Inference in Social Media Systems. ICANN 2018[J]. 2018, 第 3 作者 通讯作者 11141: 805-816, [60] Xu, Hao, Cao, Yanan, Jia, Ruipeng, Liu, Yanbing, Tan, Jianlong, IEEE. Sequence Generative Adversarial Network for Long Text Summarization. ICTAI[J]. 2018, 第 2 作者242-248, [61] Yuan, Fangfang, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Tan, Jianlong, Fang, Binxing. Insider Threat Detection with Deep Neural Network. COMPUTATIONAL SCIENCE[J]. 2018, 第 2 作者10860: 43-54, [62] Qian Li, Gang Li, Wenjia Niu, Yanan Cao, Liang Chang, Jianlong Tan, Li Guo. Boosting imbalanced data learning with Wiener process oversampling. FRONTIERS OF COMPUTER SCIENCE,[J]. 2017, 第 4 作者11(5): 836-851, https://www.webofscience.com/wos/woscc/full-record/WOS:000410732200007.[63] Li, Xiaoxue, Cao, Yanan, Shang, Yanmin, Liu, Yanbing, Tan, Jianlong, Guo, Li. Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT (KSEM 2017)[J]. 2017, 第 2 作者10412: 274-286, [64] Yanbing Liu. Inferring Social Network User's Interest Based on Convolutional Neural Network. 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Behavioral Targeting with Social Regularization. 2013 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS: BIG DATA, EMERGENT THREATS, AND DECISION-MAKING IN SECURITY INFORMATICS[J]. 2013, 第 3 作者233-238, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000327025200054.[85] Yanan Cao. fficient Behavior Targeting Using SVM Ensemble Indexing. ICDM. 2012, 第 1 作者[86] Li Jun, Zhang Peng, Cao Yanan, Liu Ping, Guo Li, Zaki MJ, Siebes A, Yu JX, Goethals B, Webb G, Wu X. Efficient Behavior Targeting Using SVM Ensemble Indexing. 12TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2012). 2012, 第 3 作者409-418,