陶海成
讲师
南京财经大学，南京，210023
E-mail: haicheng.tao@gmail.com
教育经历
2014/03 - 2020/10，南京理工大学，计算机科学与工程学院，博士
2016-01 - 2017-01, Florida Atlantic University, 联合培养博士生
2009/09 - 2012/06，中国科学技术大学，软件学院，硕士
2005/09 - 2009/06，安徽建筑大学，数理学院，学士
科研与工作经历
2021/02 - 至今， 南京财经大学， 讲师
2024年9月 - 至今， 云境商务智能研究院南京有限公司， 科技副总
2016/01 – 2017/01 & 2018/01 – 2018/07，Bidtellect(美国)， 助理研究员
2012/06 - 2014/03， 江苏省电子商务重点实验室， 助理研究员
承担课程
数据库系统原理、大数据开发课程设计、文本挖掘方法与应用、商务智能与R语言
研究领域
人工智能、异常检测、隐私保护、时间序列分析、图学习等。
学术服务
l 担任Top B2期刊 Information Processing & Management编委
l 中国优选法统筹法与经济数学研究会高级会员
l IEEE和CCF会员
l 担任Journal of Informetrics, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Signal Processing, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Industrial Informatics, ACM Transactions on Knowledge Discovery from Data等期刊审稿人
主持和参加科研项目情况：
l 江苏省高校自然科学基金项目, 面上项目, 21KJB520034, 融合行为模式和社交网络的水军检测技术研究, 2021-10-01 至 2023-09-30, 5万元，结题，主持
l 国家自然科学基金委员会, 面上项目, 72172057, 电子商务虚假购买行为检测：用户购买全过程视角, 2022-01-01 至 2025-12-31, 48万元, 在研, 参与
l 国家自然科学基金委员会, 重大研究计划, 92046026, 基于大数据的新一代电子商务全景式营销与决策研究, 2021-01-01 至 2022-12-31, 130万元, 在研, 参与
l 国家自然科学基金委员会, 青年科学基金项目, 71701089, 融合行为模式和关系网络的广告虚假攻击检测研究, 2018-01-01 至 2020-12-31, 18万元, 结题, 参与
l 国家自然科学基金委员会, 重大研究计划, 91646204, 面向Online-to-Offline智能商务的大数据融合与应用, 2017-01-01 至 2020-12-31, 201万元, 结题, 参与
代表性研究成果：
[1] 陶海成，卜湛，曹杰. 基于多目标强化学习的社区隐藏框架. 中国科学: 信息科学, 2021, 51(7): 1131-1145 (CCF A类)
[2] Weichao Liang, Fengmao Lv, Lei Chen, Haicheng Tao*, etc. Citywide Multi-Step Crime Prediction via Context-Aware Bayesian Tensor Decomposition. IEEE Trans. Inf. Forensics Secur. 2025, 20: 8030-8042 (CCF A类，通讯作者)
[3] Haicheng Tao, Jie Cao, Lei Chen, Hongliang Sun, Yong Shi, Xingquan Zhu: Black-box attack on dynamic graphs via adversarial topology perturbations, Neural Networks , 2024, 171: 308-319 (CCF B类)
[4] Jiawei Miao, Haicheng Tao*, Haoran Xie, Jianshan Sun, Jie Cao: Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks, Information Processing & Management, 2024, 61(1): 103569 (CCF B类，学生一作，本人通讯)
[5] Haicheng Tao, Jiawei Miao, Zhao Li, Zhenyu Zhang, etc. HANCAD: hierarchical attention network for context anomaly detection in multivariate time series, World Wide Web (WWW), 2023, 26(5): 2785-2800 (CCF B 类)
[6] Haicheng Tao, Zhe Li, Zhiang Wu, Jie Cao, Link communities detection: an embedding method on the line hypergraph. Neurocomputing 367: 46-54, 2019 (中科院Top期刊，CCF C类)
[7] Haicheng Tao, Youquan Wang, Zhiang Wu, Zhan Bu, Jie Cao, Discovering Overlapping Communities by Clustering Local Link Structures, Chinese Journal of Electronics, 26 (2), 430-434, 2017. (电子学报英文版)
[8] Alec Agnese#, Jonathan Herrera#, Haicheng Tao#, Xingquan Zhu, A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis. WIREs
Data Mining and Knowledge Discovery, 2020, 10(4). (共同一作，中科院二区)
[9] Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne, Fraud Prevention in Online Digital Advertising, Springer, ISBN: 978-3-319-56792-1, May 2017 (专著)
[10] Haicheng Tao, Zhiang Wu, Jin Shi, etc. Overlapping Community Extraction: A Link Hypergraph Partitioning based Method. 11th IEEE International Conference on Services Computing, 2014: 123-130. (CCF C类)
[11] Lei Chen, Jie Cao, Haicheng Tao, and Jia Wu. Trip Reinforcement Recommendation with Graph-based Representation Learning. ACM Transactions on Knowledge Discovery from Data. 17(4): 57:1-57:20 (2023) (CCF B类)
[12] Youquan Wang, Zhiwen Dai, Jie Cao, Jia Wu, Haicheng Tao and Guixiang Zhu. Intra- and inter-association attention network-enhanced policy learning for social group recommendation. World Wide Web, 26(1): 71-94 (2023) (CCF B类)
[13] Jie Cao, Youquan Wang, Haicheng Tao, and Xiang Guo. 2022. Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model. ACM Transactions on Multimedia Computing, Communications, and Applications. 18(3s): 139:1-139:19 (2022) (CCF B类)
[14] Weichao Liang, Youquan Wang, Haicheng Tao, Jie Cao: Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion. Neurocomputing 486: 286-297, 2022. (CCF C类)
[15] Jie Cao, Yuyao Wang, Zhan Bu, Youquan Wang, Haicheng Tao, Guixiang Zhu: Compactness Preserving Community Computation Via a Network Generative Process. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(5): 1044-1056, 2022
[16] Youquan Wang, Jie Cao, Haicheng Tao. Graph convolutional network with multi-similarity attribute matrices fusion for node classification. Neural Computing & Applications, 2021. https://doi.org/10.1007/s00521-021-06429-1 (CCF C类)
[17] Zhan Bu, Jie Cao, Huijia Li, Guangliang Gao, Haicheng Tao, Gleam: a graph clustering framework based on potential game optimization for large-scale social networks, Knowledge and Information Systems 55(3), 741-770, 2018. (CCF B类)
[18] Jie Cao, Youquan Wang, Jing He, Weichao Liang, Haicheng Tao, Guixiang Zhu. Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method. IEEE Transactions on Industrial Informatics 17(6): 4390-4400 (2021) (中科院一区 Top期刊)
[19] Lei Chen, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu. Attentive multi-task learning for group itinerary recommendation. Knowledge and Information Systems 63(7): 1687-1716 (2021) (CCF B类)
[20] Jie Cao, Zhan Bu, Guangliang Gao, Haicheng Tao. Weighted modularity optimization for crisp and fuzzy community detection in large-scale networks, Physica A: Statistical Mechanics and its Applications, 2016, 462, 386-395 (中科院二区)
