基本信息
刘强 男 项目研究员 博导 中国科学院自动化研究所
电子邮件： qiang.liu@nlpr.ia.ac.cn
谷歌学术： https://scholar.google.com/citations?user=D-lKLcMAAAAJ
研究领域
数据挖掘
多模态大模型
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
2025-02~现在, 中国科学院自动化研究所, 项目研究员2022-07~2025-02,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
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） Uncovering Overfitting in Large Language Model Editing, International Conference on Learning Representations (ICLR), 2025, 第 3 作者（2） Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2025, 第 3 作者 通讯作者（3） Generate First, Then Sample: Enhancing Fake News Detection with LLM-Augmented Reinforced Sampling, Annual Meeting of the Association for Computational Linguistics (ACL), 2025, 第 4 作者（4） CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation, AAAI Conference on Artificial Intelligence (AAAI), 2025, 第 5 作者 通讯作者（5） Fairness without Demographics through Learning Graph of Gradients, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025, 第 3 作者 通讯作者（6） Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows, International Conference on Learning Representations (ICLR), 2025, 第 7 作者（7） MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra, International Conference on Learning Representations (ICLR), 2025, 第 5 作者 通讯作者（8） 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（9） 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（10） 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（11） Knowledge Graph Enhanced Large Language Model Editing, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024, 第 3 作者（12） 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（13） 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（14） Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization, Conference on Neural Information Processing Systems (NeurIPS), 2024, 第 6 作者（15） Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-shot Molecular Property Prediction, Conference on Neural Information Processing Systems (NeurIPS), 2024, 第 2 作者 通讯作者（16） VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark, Conference on Neural Information Processing Systems (NeurIPS), 2024, 第 4 作者 通讯作者（17） Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 2 作者（18） 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（19） Rethinking Graph Masked Autoencoders through Alignment and Uniformity, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 3 作者（20） Rethinking Fair Graph Neural Networks from Re-balancing, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024, 第 3 作者（21） 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（22） CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction, SIAM International Conference on Data Mining (SDM), 2024, 第 4 作者 通讯作者（23） MetaTKG++: Learning Evolving Factor Enhanced Meta-knowledge for Temporal Knowledge Graph Reasoning, Pattern Recognition (PR), 2024, 第 3 作者（24） Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, 第 3 作者（25） Modality-Balanced Learning for Multimedia Recommendation, ACM International Conference on Multimedia (MM), 2024, 第 3 作者 通讯作者（26） Text-Guided Molecule Generation with Diffusion Language Model, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 2 作者（27） Stealthy Attack on Large Language Model based Recommendation, Annual Meeting of the Association for Computational Linguistics (ACL), 2024, 第 3 作者（28） DyGCN: Efficient Dynamic Graph Embedding with Graph Convolutional Network, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2024, 第 5 作者（29） Bi-Level Graph Structure Learning for Next POI Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024, 第 3 作者（30） Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables, AAAI Conference on Artificial Intelligence (AAAI), 2024, 第 4 作者（31） Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection, The Web Conference (WWW), 2024, 第 3 作者 通讯作者（32） Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning, The Web Conference (WWW), 2023, 第 3 作者 通讯作者（33） Counterfactual Debiasing for Fact Verification, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 1 作者（34） GSLB: The Graph Structure Learning Benchmark, Conference on Neural Information Processing Systems (NeurIPS), 2023, 第 9 作者 通讯作者（35） 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（36） Learning Latent Relations for Temporal Knowledge Graph Reasoning, Annual Meeting of the Association for Computational Linguistics (ACL), 2023, 第 3 作者（37） Dynamic Graph Neural Networks for Sequential Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 4 作者（38） 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（39） Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 第 3 作者（40） 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（41） 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（42） DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design, International Conference on Machine Learning (ICML), 2023, 第 7 作者（43） Structure-Enhanced Heterogeneous Graph Contrastive Learning, SIAM International Conference on Data Mining (SDM), 2022, 第 5 作者（44） Evidence-aware Fake News Detection with Graph Neural Networks, The Web Conference (WWW), 2022, 第 3 作者（45） 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（46） 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（47） Uncovering Neural Scaling Law in Molecular Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2022, 第 6 作者（48） Symbolic Genetic Algorithm for Discovering Open-form Partial Differential Equations (SGA-PDE), Physical Review Research (PRR), 2022, 第 3 作者（49） GraphDIVE: Graph Classification by Mixture of Diverse Experts, International Joint Conference on Artificial Intelligence (IJCAI), 2022, 第 3 作者（50） Deep Stable Representation Learning on Electronic Health Records, IEEE International Conference on Data Mining (ICDM), 2022, 第 3 作者 通讯作者（51） 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（52） Mining Latent Structures for Multimedia Recommendation, ACM International Conference on Multimedia (MM), 2021, 第 3 作者 通讯作者（53） Deep Active Learning for Text Classification with Diverse Interpretations, ACM International Conference on Information and Knowledge Management (CIKM), 2021, 第 1 作者（54） An Empirical Study of Graph Contrastive Learning, Conference on Neural Information Processing Systems (NeurIPS), 2021, 第 3 作者（55） STAN: Spatio-Temporal Attention Network for Next Location Recommendation, The Web Conference (WWW), 2021, 第 2 作者 通讯作者（56） Mining Cross Features for Financial Credit Risk Assessment, ACM International Conference on Information and Knowledge Management (CIKM), 2021, 第 1 作者（57） Graph Contrastive Learning with Adaptive Augmentation, The Web Conference (WWW), 2021, 第 4 作者（58） TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation, International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020, 第 3 作者（59） 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（60） 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（61） Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2018, 第 1 作者（62） A Convolutional Approach for Misinformation Identification, International Joint Conference on Artificial Intelligence (IJCAI), 2017, 第 2 作者（63） DeepStyle: Learning User Preferences for Visual Recommendation, International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2017, 第 1 作者（64） Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2017, 第 1 作者（65） Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts, AAAI Conference on Artificial Intelligence (AAAI), 2016, 第 1 作者（66） 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（67） Contextual Operation for Recommender Systems, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2016, 第 2 作者（68） Context-aware Sequential Recommendation, IEEE International Conference on Data Mining (ICDM), 2016, 第 1 作者（69） COT: Contextual Operating Tensor for Context-aware Recommender Systems, AAAI Conference on Artificial Intelligence (AAAI), 2015, 第 1 作者（70） A Convolutional Click Prediction Model, ACM International Conference on Information and Knowledge Management (CIKM), 2015, 第 1 作者（71） Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation, ACM International Conference on Information and Knowledge Management (CIKM), 2015, 第 1 作者
科研活动
科研项目
（ 1 ） 泛模态数据统一表征框架, 负责人, 中国科学院计划, 2025-02--2027-01（ 2 ） 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（ 3 ） 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（ 4 ） 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（ 5 ） 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（ 6 ） 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（ 7 ） 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（ 8 ） 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（ 9 ） 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（ 10 ） 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