2018-2021 清华大学计算机系 博士后
2013-2018 中国科学院自动化研究所 博士

数据挖掘，可信人工智能，大模型安全，虚假信息检测

知识驱动的复杂场景多模态语义理解与文本生成，国家自然科学基金重点项目，骨干
社会大数据跨尺度系统学习关键技术与示范应用，国家自然科学基金专项项目，骨干
面向事件预测的动态知识图谱推理方法研究，国家自然科学基金青年科学基金项目，主持
基于图神经网络的产业链风险传导预警，重点研发计划子课题，主持

[1] Xiang Tao, Liang Wang, Qiang Liu（通讯作者）, Shu Wu, Liang Wang. Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. The Web Conference (WWW), 2024.
[2] Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu（通讯作者）, Shu Wu, Liang Wang, Jeffrey Xu Yu. GSLB: The Graph Structure Learning Benchmark. Advances in Neural Information Processing Systems (NeurIPS), 2023.
[3] Junfei Wu, Weizhi Xu, Qiang Liu（通讯作者）, Shu Wu, Liang Wang. Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023.
[4] Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang. 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.
[5] Qiang Liu（共同一作）, Yingtao Luo, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu. Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
[6] Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang. Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2023.
[7] Qiang Liu（共同一作）, Weizhi Xu, Shu Wu, Liang Wang. Counterfactual Debiasing for Fact Verification. Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
[8] Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang. Learning Latent Relations for Temporal Knowledge Graph Reasoning. Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
[9] Mengqi Zhang, Yuwei Xia, Qiang Liu（通讯作者）, Shu Wu, Liang Wang. Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. The Web Conference (WWW), 2023.
[10] Yuwei Xia, Mengqi Zhang, Qiang Liu（通讯作者）, Shu Wu, Xiao-Yu Zhang. MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.
[11] Yingtao Luo, Zhaocheng Liu and Qiang Liu（通讯作者）. Deep Stable Representation Learning on Electronic Health Records. IEEE International Conference on Data Mining (ICDM), 2022.
[12] Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang. Evidence-aware Fake News Detection with Graph Neural Networks. The Web Conference (WWW), 2022.
[13] Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu. An Empirical Study of Graph Contrastive Learning. Advances in Neural Information Processing Systems (NeurIPS), 2021.
[14] Jinghao Zhang, Yanqiao Zhu, Qiang Liu（通讯作者）, Shu Wu, Shuhui Wang, Liang Wang. Mining Latent Structures for Multimedia Recommendation. ACM International Conference on Multimedia (ACMMM), 2021.
[15] Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu. Mining Cross Features for Financial Credit Risk Assessment. ACM International Conference on Information and Knowledge Management (CIKM), 2021.
[16] Yingtao Luo, Qiang Liu（通讯作者）, Zhaocheng Liu. STAN: Spatio-Temporal Attention Network for Next Location Recommendation. The Web Conference (WWW), 2021.
[17] Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang. Graph Contrastive Learning with Adaptive Augmentation. The Web Conference (WWW), 2021.
[18] Qiang Liu, Feng Yu, Shu Wu, Liang Wang. Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2018.
[19] Qiang Liu, Shu Wu, Liang Wang. Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2017.
[20] Qiang Liu, Shu Wu, Liang Wang. DeepStyle: Learning User Preferences for Visual Recommendation. International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2017.
[21] Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. A Convolutional Approach for Misinformation Identification. International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[22] Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang. Context-aware Sequential Recommendation. IEEE International Conference on Data Mining (ICDM), 2016.
[23] Qiang Liu, Shu Wu, Liang Wang Tieniu Tan. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI Conference on Artificial Intelligence (AAAI), 2016.
[24] Qiang Liu, Shu Wu, Liang Wang. COT: Contextual Operating Tensor for Context-aware Recommender Systems. AAAI Conference on Artificial Intelligence (AAAI), 2015.

2019年 KDD创业研究奖
2018年 中国科学院院长奖优先奖
2016年 微软学者奖

基于动态知识图谱的事件预测方法及装置
一种诊断数据分析方法及系统
基于协同过滤推荐模型的物品推荐方法及装置
基于时序元学习的动态知识图谱预测方法和装置
交易平台中节点属性信息检测模型的训练方法和训练装置