Junquan Gu | 顾峻铨

Research Output

Publications

Selected publications and manuscripts in graph anomaly detection, automated feature engineering, LLM-driven AutoML, and financial fraud simulation.

  1. [1] Junquan Gu, Hang Yu, Xiangfeng Luo. A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs[C]. Companion Proceedings of the ACM on Web Conference 2025, 986-990.
    First author.
  2. [2] 骆祥峰, 顾峻铨, 余航. 基于强-弱互信息掩码学习的可解释动态不完整图异常检测[J]. 软件学报, 2026, 37(4): 1492-1510.
    Leading student author.
  3. [3] Junquan Gu, Runchen Ji, Hang Yu, Zhengyang Liu, Dian Huang, Jianqi Gao, Xiang Cui, Xiangfeng Luo. Semantics–Search Oriented Automated Feature Engineering[C]. 35th International Joint Conference on Artificial Intelligence (IJCAI).
    First author; under second-round review.
  4. [4] Junquan Gu, Shibo Cui, Runchen Ji, Zhengyang Liu, Hang Yu, Xiangfeng Luo. SAGE-Loop: Reliable Closed-Loop LLM-Driven AutoML with Trial-and-Correction and Adaptive Ensembling[C]. Information Processing & Management Conference 2026.
    First author; under review.
  5. [5] Junquan Gu, Zehao Gong, Runchen Ji, Kun Shi, Xiangfeng Luo, Hang Yu. F2-Gen: An Open-Source Web Platform for Scenario-Driven Financial Fraud Data Simulation[C]. In Proceedings of the 49th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (Melbourne, Australia) (SIGIR ’26).
    First author.
  6. [6] Zehao Gong, Junquan Gu, Xue Chen, Xiangfeng Luo, Zhengyang Liu, Hang Yu. FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling[C]. Proceedings of the Pacific Rim International Conference on Artificial Intelligence 2025.
    Second author.
  7. [7] Shibo Cui, Junquan Gu, Xiangfeng Luo, Zhengyang Liu, Hang Yu. Making AutoML Ensembles Task-Aware: Semantic Priors for Search-to-Ensemble Consistency[C]. Forty-third International Conference on Machine Learning (ICML).
    Co-first author; under second-round review.
  8. [8] Junquan Gu, Hang Yu, Zhengyang Liu, Dian Huang, Xiangfeng Luo. Cross-Domain Graph Fraud Detection under Extreme Imbalance: A Two-Stage Transfer Framework[J]. Complex & Intelligent Systems.
    First author; major revision.
  9. [9] Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu. Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection[C]. 2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-8.
    Co-author.
  10. [10] Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen. CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation[C]. 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), Athens, Greece, 2025, pp. 26-33.
    Co-author.