基本信息

刘强  男  硕导  中国科学院自动化研究所
电子邮件: qiang.liu@nlpr.ia.ac.cn
通信地址: 北京市海淀区中关村东路95号智能化大厦1501
邮政编码: 100190
个人主页: https://john-qiangliu.tech/
谷歌学术: https://scholar.google.com/citations?user=D-lKLcMAAAAJ

研究领域

数据挖掘

虚假信息检测

大模型安全

AI4Science

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
社会兼职
2023-09-15-今,中国中文信息学会青年工作委员会, 委员
2022-10-01-今,中国中文信息学会社会媒体处理专委会, 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, 通讯作者
(3) Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models, Findings of the Association for Computational Linguistics: ACL, 2024, 第 2 作者
(4) Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 2 作者
(5) Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning, Findings of the Association for Computational Linguistics: ACL, 2024, 通讯作者
(6) Rethinking Graph Masked Autoencoders through Alignment and Uniformity, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 3 作者
(7) Rethinking Fair Graph Neural Networks from Re-balancing, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024, 第 3 作者
(8) Text-Guided Molecule Generation with Diffusion Language Model, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 2 作者
(9) Stealthy Attack on Large Language Model based Recommendation, Annual Meeting of the Association for Computational Linguistics (ACL), 2024, 第 3 作者
(10) EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification, Findings of the Association for Computational Linguistics: ACL, 2024, 第 6 作者
(11) Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 4 作者
(12) CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction, SIAM Conference on Data Mining (SDM), 2024, 通讯作者
(13) Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection, The Web Conference (WWW), 2024, 通讯作者
(14) Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning, The Web Conference (WWW), 2023, 通讯作者
(15) Uncovering Neural Scaling Law in Molecular Representation Learning, Advances in Neural Information Processing Systems (NeurIPS), 2023, 第 6 作者
(16) Counterfactual Debiasing for Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 1 作者
(17) GSLB: The Graph Structure Learning Benchmark, Advances in Neural Information Processing Systems (NeurIPS), 2023, 通讯作者
(18) Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction, Findings of the Association for Computational Linguistics: EMNLP, 2023, 通讯作者
(19) Learning Latent Relations for Temporal Knowledge Graph Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 3 作者
(20) Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 通讯作者
(21) Dynamic Graph Neural Networks for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 4 作者
(22) 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
(23) 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
(24) 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
(25) Evidence-aware Fake News Detection with Graph Neural Networks, The Web Conference (WWW), 2022, 第 3 作者
(26) 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
(27) MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 通讯作者
(28) GraphDIVE: Graph Classification by Mixture of Diverse Experts, International Joint Conference on Artificial Intelligence (IJCAI), 2022, 第 3 作者
(29) Deep Stable Representation Learning on Electronic Health Records, IEEE International Conference on Data Mining (ICDM), 2022, 通讯作者
(30) Mining Latent Structures for Multimedia Recommendation, ACM International Conference on Multimedia (ACMMM), 2021, 通讯作者
(31) An Empirical Study of Graph Contrastive Learning, Advances in Neural Information Processing Systems (NeurIPS), 2021, 第 3 作者
(32) STAN: Spatio-Temporal Attention Network for Next Location Recommendation, The Web Conference (WWW), 2021, 通讯作者
(33) Mining Cross Features for Financial Credit Risk Assessment, ACM International Conference on Information and Knowledge Management (CIKM), 2021, 第 1 作者
(34) Graph Contrastive Learning with Adaptive Augmentation, The Web Conference (WWW), 2021, 第 4 作者
(35) Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2018, 第 1 作者
(36) A Convolutional Approach for Misinformation Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2017, 第 2 作者
(37) DeepStyle: Learning User Preferences for Visual Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2017, 第 1 作者
(38) Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2017, 第 1 作者
(39) Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts, AAAI Conference on Artificial Intelligence (AAAI), 2016, 第 1 作者
(40) A Dynamic Recurrent Model for Next Basket Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016, 第 1 作者
(41) Contextual Operation for Recommender Systems, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 第 1 作者
(42) Context-aware Sequential Recommendation, IEEE International Conference on Data Mining (ICDM), 2016, 第 1 作者
(43) Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation, ACM International Conference on Information and Knowledge Management (CIKM), 2015, 第 1 作者
(44) 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 ) 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
( 2 ) 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
( 3 ) 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
( 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 ) 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
( 6 ) 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
( 7 ) 基于多视角脑网络信息的脑疾病诊断与预测方法研究, 负责人, 境内委托项目, 2021-11--2022-10

学生指导

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