基本信息

刘强  男  副研究员 硕导  中国科学院自动化研究所
电子邮件: qiang.liu@nlpr.ia.ac.cn
英文主页: https://people.ucas.edu.cn/~qiangliu?language=en
谷歌学术: https://scholar.google.com/citations?user=D-lKLcMAAAAJ

研究领域

数据挖掘

大模型可信

虚假信息检测

招生信息

   
招生专业
081104-模式识别与智能系统
招生方向
模式识别理论与方法

教育背景

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

工作经历

   
工作简历
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
社会兼职
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

出版信息

   
代表性论文
(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

科研活动

   
科研项目
( 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

学生指导

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