联合培养博士(计算机科学与工程), 南洋理工大学, 2016

工学博士（信息与通信工程），东南大学，2018

数据挖掘、图神经网络、因果分析、异常检测。

主要研究方向为数据挖掘和社交网络，其中具体针对以下几个方面： 1. 针对网络拓扑结构的数据挖掘； 2. 可解释神经网络；3. 图神经网络的鲁棒性分析；4. 针对文本、多媒体信息的社交网络分析；5. 语言信息处理，包括知识图谱，情感挖掘和词嵌入等。

主持或参与的项目：

图挖掘推理服务及小样本智能分析服务

电力数据中台入侵容忍防护技术研究

电力物联网关程序多样化异构方法研究

基于迁移学习的社交网络虚假新闻检测关键技术研究

网络突发事件的舆情监测和预警

电信诈骗领域专业词库

射频指纹表征的统一性与平稳性问题研究

基于视觉大数据的挖掘类内信息的自监督对比学习研究

移动混合框架集成SDK

印章图片制作及验证软件

面向蜂窝通信的内生安全技术

1.  网络空间安全数学基础

2.  模式识别

代表性期刊和会议论文：

[1] Lanting Fang, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Tao Li, Unsupervised Rumor Detection Based on Propagation Tree VAE, IEEE Transactions on Knowledge and Data Engineering; 2023. (CCF A类)

[2] Lanting Fang, Kaiyu Feng, Jie Gui, Shanshan Feng, Aiqun Hu, Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph, Proceedings of the VLDB Endowment, 2023, 16 (5), 1154-1167. (CCF A类)

[3] Shanshan Feng, Kaiqi Zhao, Lanting Fang*, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao, H-Diffu: Hyperbolic Representations for Information Diffusion Prediction, in IEEE Transactions on Knowledge and Data Engineering, 2022 (CCF A类)

[4] Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang, Ming Lin, James Kwok, Tin-Yau, LiGuo Huang and Bin Luo, Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning. IEEE Transactions on Image Processing, 2023. (CCF A类)

[5] Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, KA Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding, IEEE Transactions on Knowledge and Data Engineering. 2022.  (CCF A类)

[6] Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Knowledge-Enhanced Ensemble Learning for Word Embeddings, The World Wide Web Conference. 2019. (CCF  A类)

[7] Lanting Fang, Luu Anh Tuan, Siu Cheung Hui and Lenan Wu. Syntactic based Approach for Grammar Question Retrieval. Information Processing and Management, 2018(54):184-202. (中科院1区TOP)

[8] Lanting Fang, Ze Kou; Yulian Yang; Tao Li, Representing Spatial Data with Graph Contrastive Learning；Remote Sensing, 15(4):1-23 .  (中科院2区, JCR 1区)

[9] Lanting Fang, Ze Kou; Yuzhang Zhou; Yudong Zhang, George Y. Yuan, In Search of Max Coverage Region in Road Networks；Remote Sensing, 15(5). (中科院2区, JCR 1区)

[10] Lanting Fang, Luu Anh Tuan, Siu Cheung Hui and Lenan Wu. Personalized Question Recommendation for English Grammar Learning. Expert Systems, 2017.  

[11] Qunke Wang, Lanting Fang*, Zhenchao Zhu, Jie Huang, Detection Algorithm of the Mimicry Attack based on Variational Auto-Encoder, The 51st IEEE/IFIP International Conference on Dependable Systems and Networks 

[12] 胡爱群，方兰婷*，李涛, 基于仿生机理的内生安全防御体系研究, 网络与信息安全学报, 2021, 7(1): 11-19.. 

[14] Bingcheng Zhu, Zaichen Zhang, Lei Wang, Jian Dang, Liang Wu, Lanting Fang, Julian Cheng: Asymptotic Analysis of Diversity Receptions Over Correlated Lognormal-Rician Fading Channels. GLOBECOM 2021: 1-6

[15] 胡宁, 方兰婷, 秦中元, 基于随机森林和深度自编码高斯混合模型的无监督入侵检测方法, 网络空间安全，2020, 11(8): 40-44

[16] 秦中元, 胡宁, 方兰婷. 基于免疫仿生机理和图神经网络的网络异常检测方法[J]. 信息网络安全, 2021, 000(008):10-16.

[17] Yongbin Gong, Jing Yang, Di Miao, Yuzheng Yang, Ziyi Han, Jingrui Li, BIngcheng Zhu, Lanting Fang, Liang Chen, An Efficient Visible Light Positioning and Rotation Estimation System Using Two LEDs and a Photodiode Array, WCNC, 2023.

[18] Pu Miao, Chenhao Qi, Lanting Fang, Kang Song, Qingkai Bu, Deep clipping noise mitigation using ISTA with the specified observations for LED-based DCO-OFDM system. IET Commun. 2018, 12(20): 2582-2591

分项主席（Session Chair）：

Natural Language Processing and Information Systems (NLDB 2017);

International Conference on Signal and Image Processing (ICSIP 2020)

PC Member/审稿人：International Joint Conference on Artificial Intelligence (IJCAT);Association for the Advancement of Artificial Intelligence (AAAI), etc.