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论文成果

[1]. Aoyuan Jiang , Rui Wang , Haoxuan Liu 和 Liang Hong. Achieving Multi-Hop Calculation and Safe Abstention in Financial Numerical Reasoning by Metric Graph Constrained LLMs. ACL. 2026.
[2]. Rui Zhang , Jingfan Yang , Ke Yuan 和 Liang Hong. SCOPE: Preserving Modality-Specific Cues to Mitigate Modality Laziness in Multimodal Learning. ACL Findings. 2026.
[3]. Mingxuan Shen , Qingying Xu 和 Liang Hong. Data-Centric Dual-Layer Adversarial Learning for Fraud Detection under Label Delay and Concept Drift. ACM SIGKDD. 2026.
[4]. Qingying Xu , Aoyuan Jiang , Mingxuan Shen 和 Liang Hong. Hyper-Relational Knowledge Graph Representation Learning Based on Multi-Granularity Semantic Aware Message Passing. ACM SIGKDD. 2026.
[5]. Qingying Xu , Liang Hong , Baokun Yi 和 Mingxuan Shen. Disclosing Actual Controller based on Equity Knowledge Graph Learning. ACM SIGKDD. 2025.
[6]. Wenjun Hou , Liang Hong 和 Ziyi Zhu. KGRED: Knowledge-graph-based rule discovery for weakly supervised data labeling.. INFORMATION PROCESSING & MANAGEMENT. 61 (5). 2024.
[7]. Wenjun Hou , Liang Hong 和 Haoshuai Xu. RoRED: Bootstrapping labeling rule discovery for robust relation extraction. Information Sciences. 629. 62-76. 2023.
[8]. 陈昊冉和洪亮. 融合知识关联与时序传导的金融舆情风险预测模型. 数据分析与知识发现. 7 (11). 1-13. 2023.
[9]. Ruiyuan LI , Liang Hong 和 Huajun He. TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 35 (1). 1013-1027. 2023.
[10]. 洪亮和欧阳晓凤. 金融股权知识大图的知识关联发现与风险分析. 管理科学学报. 25 (4). 44-66. 2022.

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