Publications

Graph Learning

Research on graph neural networks, graph representation learning, and network analysis

  1. GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection
    Saba Fathi Rabooki, Bowen Li, Falih Gozi Febrinanto, Ciyuan Peng, Elham Naghizade, Fengling Han, and Feng Xia
    IEEE Transactions on Computational Social Systems, 2025
  2. Graph learning
    Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, and Xiangjie Kong
    Foundations and Trends in Signal Processing, Nov 2025
  3. Graph lifelong learning: A survey
    Falih Gozi Febrinanto, Feng Xia, Kristen Moore, Chandra Thapa, and Charu Aggarwal
    IEEE Computational Intelligence Magazine, 2023
  4. Efficient Graph Learning for Anomaly Detection Systems
    Falih Gozi Febrinanto
    In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
  5. Fairness-Aware Predictive Graph Learning in Social Networks
    Lei Wang, Shuo Yu, Falih Gozi Febrinanto, Fayez Alqahtani, and Tarek E El-Tobely
    Mathematics, 2022
  6. PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting
    Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, and Madhu Chetty
    IEEE Transactions on Computational Social Systems, 2022
  7. Cross network representation matching with outliers
    Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, and Feng Xia
    In 2021 International Conference on Data Mining Workshops (ICDMW), 2021

Signal Processing

Techniques for analyzing and modeling signals across time, space, and/or frequency domains

  1. SIGNL: A label-efficient audio deepfake detection system via spectral-temporal graph non-contrastive learning
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, and Vidya Saikrishna
    Expert Systems with Applications, 2026
  2. Refined causal graph structure learning via curvature for brain disease classification
    Falih Gozi Febrinanto, Adonia Simango, Chengpei Xu, Jingjing Zhou, Jiangang Ma, Sonika Tyagi, and Feng Xia
    Artificial Intelligence Review, 2025
  3. Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Jiangang Ma, Vidya Saikrishna, and Feng Xia
    In Interspeech 2025, 2025
  4. Entropy causal graphs for multivariate time series anomaly detection
    Falih Gozi Febrinanto, Kristen Moore, Chandra Thapa, Mujie Liu, Vidya Saikrishna, Jiangang Ma, and Feng Xia
    ACM Transactions on Intelligent Systems and Technology, 2025
  5. Motif-induced subgraph generative learning for explainable neurological disorder detection
    Mujie Liu, Qichao Dong, Chenze Wang, Xinrui Cheng, Falih Gozi Febrinanto, Azadeh Noori Hoshyar, and Feng Xia
    In Australasian Joint Conference on Artificial Intelligence, 2024
  6. Balanced graph structure information for brain disease detection
    Falih Gozi Febrinanto, Mujie Liu, and Feng Xia
    In Pacific Rim Knowledge Acquisition Workshop, 2023

Other Applications

Miscellaneous research applications

  1. Attractiveness based conference ranking
    Chen Zhang, Falih Febrinanto, Mujie Liu, Xiangjie Kong, Dongyu Zhang, and Sardar MN Islam
    In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022
  2. The implementation of Blockchain framework in MOOCs to support a freedom of learning in Indonesia
    FG Febrinanto, R Nisviasari, and  others
    In Journal of Physics: Conference Series, 2021
  3. SmartColor: Automatic Web Color Scheme Generation Based on Deep Learning
    Zhitao Feng, Mingliang Hou, Huiyang Liu, Mujie Liu, Achhardeep Kaur, Falih Gozi Febrinanto, and Wenhong Zhao
    In 2021 12th International Conference on Information and Communication Systems (ICICS), 2021
  4. The implementation of k-means algorithm as image segmenting method in identifying the citrus leaves disease
    FG Febrinanto, C Dewi, and A Triwiratno
    In IOP Conference Series: Earth and Environmental Science, 2019