数据挖掘

大模型可信

虚假信息检测

   

081104-模式识别与智能系统

模式识别理论与方法

2013-09--2018-07   中国科学院自动化研究所   博士
2009-09--2013-07   燕山大学   学士

   

2022-07~现在, 中国科学院自动化研究所, 副研究员
2021-03~2022-06,中国科学院自动化研究所, 助理研究员
2018-11~2021-03,清华大学, 助理研究员
2018-07~2020-09,瑞莱智慧, 研发总监

2024-10-20-今,中国图象图形学学会视觉大数据专业委员会, 委员
2023-09-15-今,中国中文信息学会青年工作委员会, 委员
2022-09-30-今,中国中文信息学会社会媒体处理专业委员会, 委员

   

（1） Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 1 作者
（2） DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024, 第 3 作者  通讯作者
（3） EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification, Annual Meeting of the Association for Computational Linguistics Findings (ACL Findings), 2024, 第 6 作者
（4） Knowledge Graph Enhanced Large Language Model Editing, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, 第 3 作者
（5） Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 3 作者  通讯作者
（6） Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models, Annual Meeting of the Association for Computational Linguistics Findings (ACL Findings), 2024, 第 2 作者
（7） Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization, Advances in Neural Information Processing Systems (NeurIPS), 2024, 第 6 作者
（8） Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-shot Molecular Property Prediction, Advances in Neural Information Processing Systems (NeurIPS), 2024, 第 2 作者  通讯作者
（9） VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark, Advances in Neural Information Processing Systems (NeurIPS), 2024, 第 4 作者  通讯作者
（10） Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 2 作者
（11） Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting, Annual Meeting of the Association for Computational Linguistics Findings (ACL Findings), 2024, 第 3 作者  通讯作者
（12） Rethinking Graph Masked Autoencoders through Alignment and Uniformity, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 3 作者
（13） Rethinking Fair Graph Neural Networks from Re-balancing, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024, 第 3 作者
（14） Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 3 作者  通讯作者
（15） Modality-Balanced Learning for Multimedia Recommendation, ACM International Conference on Multimedia (MM), 2024, 第 3 作者  通讯作者
（16） Text-Guided Molecule Generation with Diffusion Language Model, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 2 作者
（17） Stealthy Attack on Large Language Model based Recommendation, Annual Meeting of the Association for Computational Linguistics (ACL), 2024, 第 3 作者
（18） Bi-Level Graph Structure Learning for Next POI Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 3 作者
（19） Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 4 作者
（20） Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection, The Web Conference (WWW), 2024, 第 3 作者  通讯作者
（21） Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning, The Web Conference (WWW), 2023, 第 3 作者  通讯作者
（22） Counterfactual Debiasing for Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 1 作者
（23） GSLB: The Graph Structure Learning Benchmark, Advances in Neural Information Processing Systems (NeurIPS), 2023, 第 9 作者  通讯作者
（24） Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction, Conference on Empirical Methods in Natural Language Processing Findings (EMNLP Findings), 2023, 第 2 作者  通讯作者
（25） Learning Latent Relations for Temporal Knowledge Graph Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 3 作者
（26） Dynamic Graph Neural Networks for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 4 作者
（27） Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023, 第 1 作者  通讯作者
（28） Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 3 作者
（29） DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design, International Conference on Machine Learning (ICML), 2023, 第 7 作者
（30） Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2023, 第 2 作者
（31） RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 1 作者
（32） Evidence-aware Fake News Detection with Graph Neural Networks, The Web Conference (WWW), 2022, 第 3 作者
（33） The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection, IEEE International Conference on Data Mining (ICDM), 2022, 第 3 作者
（34） MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 第 3 作者  通讯作者
（35） Uncovering Neural Scaling Law in Molecular Representation Learning, Advances in Neural Information Processing Systems (NeurIPS), 2022, 第 6 作者
（36） GraphDIVE: Graph Classification by Mixture of Diverse Experts, International Joint Conference on Artificial Intelligence (IJCAI), 2022, 第 3 作者
（37） Deep Stable Representation Learning on Electronic Health Records, IEEE International Conference on Data Mining (ICDM), 2022, 第 3 作者  通讯作者
（38） Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2022, 第 2 作者
（39） Mining Latent Structures for Multimedia Recommendation, ACM International Conference on Multimedia (MM), 2021, 第 3 作者  通讯作者
（40） An Empirical Study of Graph Contrastive Learning, Advances in Neural Information Processing Systems (NeurIPS), 2021, 第 3 作者
（41） STAN: Spatio-Temporal Attention Network for Next Location Recommendation, The Web Conference (WWW), 2021, 第 2 作者  通讯作者
（42） Mining Cross Features for Financial Credit Risk Assessment, ACM International Conference on Information and Knowledge Management (CIKM), 2021, 第 1 作者
（43） Graph Contrastive Learning with Adaptive Augmentation, The Web Conference (WWW), 2021, 第 4 作者
（44） MV-RNN: A Multi-view Recurrent Neural Network for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2020, 第 3 作者
（45） Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor, ACM International Conference on Information and Knowledge Management (CIKM), 2019, 第 2 作者
（46） Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2018, 第 1 作者
（47） A Convolutional Approach for Misinformation Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2017, 第 2 作者
（48） DeepStyle: Learning User Preferences for Visual Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2017, 第 1 作者
（49） Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2017, 第 1 作者
（50） Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts, AAAI Conference on Artificial Intelligence (AAAI), 2016, 第 1 作者
（51） A Dynamic Recurrent Model for Next Basket Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016, 第 2 作者
（52） Contextual Operation for Recommender Systems, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 第 2 作者
（53） Context-aware Sequential Recommendation, IEEE International Conference on Data Mining (ICDM), 2016, 第 1 作者
（54） Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation, ACM International Conference on Information and Knowledge Management (CIKM), 2015, 第 1 作者
（55） COT: Contextual Operating Tensor for Context-aware Recommender Systems, AAAI Conference on Artificial Intelligence (AAAI), 2015, 第 1 作者

   

（ 1 ） 多模态大模型事实可信性研究, 负责人, 研究所自主部署, 2024-09--2025-08
（ 2 ） 基于多元信息检索增强的大语言模型安全可控生成技术研究, 负责人, 境内委托项目, 2024-08--2025-07
（ 3 ） 知识存储机制驱动的大模型编辑更新方法, 负责人, 境内委托项目, 2024-07--2025-06
（ 4 ） 基于图神经网络的产业链风险传导预警防控技术, 负责人, 国家任务, 2023-11--2026-10
（ 5 ） 面向事件预测的动态知识图谱推理方法研究, 负责人, 国家任务, 2023-01--2025-12
（ 6 ） 知识驱动的复杂场景多模态语义理解与文本生成, 参与, 国家任务, 2023-01--2027-12
（ 7 ） 社会大数据跨尺度系统学习关键技术与示范应用, 参与, 国家任务, 2022-01--2025-12
（ 8 ） 金融风控中基于反事实多任务学习的拒绝推断, 负责人, 境内委托项目, 2021-11--2022-10
（ 9 ） 基于深度学习的特征生成和模型可解释研究, 负责人, 境内委托项目, 2018-03--2023-08

武桐舟    香港城市大学攻读博士

张孟奇    山东大学

呼奋宇    华为

许伟志    字节跳动

李志勋    香港中文大学攻读博士

粟晨阳    香港城市大学攻读博士

胡娅璇    哈尔滨工业大学（深圳）攻读博士

王礼萍    江苏省审计厅

罗颖韬    卡内基·梅隆大学攻读博士

朱彦樵    加州大学洛杉矶分校攻读博士

晏祺龙    中山大学攻读博士