Dr. Lanting Fang

Associate Professor

Southeast University

School of Cyber Science and Engineering

Email：lantingf@outlook.com

About Me

I am a Lecturer in the School of Cyber Science and Engineering at Southeast University, Nanjing, China. I obtained the doctoral degree from Southeast University, Nanjing, China, under the supervision of Prof. Lenan Wu. During Ph.D, I was a CSC visiting student in Nanyang Technological University, Singapore, under the supervision of Prof. Siu Cheung Hui.

My main research interests include natural language processing, data mining and machine learning.

Research Interest

  1. Social network analysis based on network topology
  2. Social media analysis based text, image and video information
  3. Natural language processing, including knowledge graph, sentiment classification and word embedding

Selected Publications

  • Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph
    Lanting Fang, Kaiyu Feng, Jie Gui, Shanshan Feng, Aiqun Hu
    Proceedings of the VLDB Endowment, 2023, 16 (5), 1154-1167
  • A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding
    Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
    IEEE Transactions on Knowledge and Data Engineering, 2023, 35(6):5534-5549.
  • Unsupervised Rumor Detection Based on Propagation Tree VAE
    Lanting Fang, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Tao Li.
    IEEE Transactions on Knowledge and Data Engineering, 2023, doi: 10.1109/TKDE.2023.3267821.
  • Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
    Jidong Ge, Yuxiang Liu, Jie Gui, Lanting Fang et al.
    IEEE Transactions on Image Processing, 2023, doi: 10.1109/TIP.2023.3276708.
  • H-Diffu: Hyperbolic Representations for Information Diffusion Prediction
    Shanshan Feng, Kaiqi Zhao, Lanting Fang* et al.
    IEEE Transactions on Knowledge and Data Engineering, 2022, doi: 10.1109/TKDE.2022.3209067.
  • Knowledge-Enhanced Ensemble Learning for Word Embeddings
    Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu
    The World Wide Web Conference. 2019: 427-437.
  • Representing Spatial Data with Graph Contrastive Learning；
    Lanting Fang, Ze Kou, Yulian Yang, Tao Li
    Remote Sensing; 2023, 15(4)
  • Detection Algorithm of the Mimicry Attack based on Variational Auto-Encoder
    Qunke Wang, Lanting Fang*, Zhenchao Zhu, Jie Huang
    DSN Workshops 2021: 114-120
  • Asymptotic Analysis of Diversity Receptions Over Correlated Lognormal-Rician Fading Channels
    Bingcheng Zhu, Zaichen Zhang, Lei Wang, Jian Dang, Liang Wu, Lanting Fang, Julian Cheng
    GLOBECOM 2021: 1-6
  • Syntactic based Approach for Grammar Question Retrieval.
    Lanting Fang , Luu Anh Tuan, Siu Cheung Hui and Lenan Wu.
    Information Processing and Management, 2018(54):184-202.
  • Deep clipping noise mitigation using ISTA with the specified observations for LED-based DCO-OFDM system.
    Pu Miao, Chenhao Qi, Lanting Fang, Kang Song, Qingkai Bu
    IET Commun. 12(20): 2582-2591 (2018)
  • Personalized Question Recommendation for English Grammar Learning.
    Lanting Fang, Luu Anh Tuan, Siu Cheung Hui and Lenan Wu.
    Expert Systems, 2017.
  • A Syntactic Parse-key Tree based Approach for English Grammar Question Retrieval
    Lanting Fang, Luu Anh Tuan, Lenan Wu and Siu Cheung Hui.
    Natural Language Processing and Information Systems, 2017, 353-365.

Selected Grants:

  • Principal Investigator. Fake news detection based on transfer learning，National Natural Science Foundation of China (NSFC).
  • Principal Investigator. Early of emergency events in social network, Outstanding young teacher scientific research funding.
  • Principal Investigator. Research on intelligent detection in endogenous safety system, the fundamental research fund

    • University Teaching:

    1. Mathematical Fundamentals of Cyberspace Security
    2. Pattern Recognition