Q. Liu

Most-cited papers

Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu, Yichen Xu, Feng Yu, Q. Liu +2 more
2020The Web Conference1,546 citations Open access
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Deep Graph Contrastive Representation Learning
Yanqiao Zhu, Yichen Xu, Feng Yu, Q. Liu +2 more
2020arXiv.org1,180 citations
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STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Yingtao Luo, Q. Liu, Zhaocheng Liu
2021The Web Conference515 citations Open access
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InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xing-Chao Liu, Xiwen Zhang, Jian-Zhu Ma, Jian Peng +1 more
2023International Conference on Learning Representations463 citations Open access
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Dynamic Graph Neural Networks for Sequential Recommendation
Mengqi Zhang, Shu Wu, Xueli Yu, Q. Liu +1 more
2021IEEE Transactions on Knowledge and Data Engineering301 citations Open access
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TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Q. Liu, Shu Wu +2 more
2020Annual International ACM SIGIR Conference on Research and Development in Information Retrieval279 citations Open access
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DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan, Xiangxin Zhou, Yu-Wei Yang, Yu Bao +5 more
2024International Conference on Machine Learning150 citations
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Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning
Mengqi Zhang, Yuwei Xia, Q. Liu, Shu Wu +1 more
2023The Web Conference100 citations Open access
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GSLB: The Graph Structure Learning Benchmark
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu +7 more
2023Neural Information Processing Systems77 citations Open access
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Knowledge Graph Enhanced Large Language Model Editing
Mengqi Zhang, Xiaotian Ye, Q. Liu, P. Ren +2 more
2024Conference on Empirical Methods in Natural Language Processing63 citations
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Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting
Yuwei Xia, Ding Wang, Q. Liu, Liang Wang +2 more
2024Annual Meeting of the Association for Computational Linguistics60 citations Open access
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Text-Guided Molecule Generation with Diffusion Language Model
Hai-Song Gong, Q. Liu, Shu Wu, Liang Wang
2024AAAI Conference on Artificial Intelligence59 citations
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Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
Jun-Fei Wu, Q. Liu, Ding Wang, Jinghao Zhang +3 more
2024Annual Meeting of the Association for Computational Linguistics57 citations
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EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen +3 more
2023Annual Meeting of the Association for Computational Linguistics51 citations
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Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Q. Liu, Shu Wu
2024AAAI Conference on Artificial Intelligence48 citations
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Uncovering Overfitting in Large Language Model Editing
Mengqi Zhang, Mengqi Zhang, Xiaotian Ye, Q. Liu +3 more
2024International Conference on Learning Representations47 citations
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Learning Latent Relations for Temporal Knowledge Graph Reasoning
Mengqi Zhang, Yuwei Xia, Q. Liu, Shu Wu +1 more
2023Annual Meeting of the Association for Computational Linguistics47 citations Open access
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Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
Feng Yu, Zhaocheng Liu, Q. Liu, Haoli Zhang +2 more
2020International Conference on Information and Knowledge Management47 citations
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Personalized Text Generation with Contrastive Activation Steering
Jinghao Zhang, Yuting Liu, Wen-Jie Wang, Q. Liu +3 more
2025Annual Meeting of the Association for Computational Linguistics46 citations
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Modality-Balanced Learning for Multimedia Recommendation
Jinghao Zhang, Guofan Liu, Q. Liu, Shu Wu +1 more
2024ACM Multimedia41 citations Open access
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VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
Han Huang, Haitian Zhong, Tao Yu, Q. Liu +3 more
2024Neural Information Processing Systems38 citations Open access
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Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention
Jun-Fei Wu, Q. Liu, Weizhi Xu, Shu Wu
2022Annual International ACM SIGIR Conference on Research and Development in Information Retrieval38 citations
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Counterfactual Debiasing for Fact Verification
Weizhi Xu, Q. Liu, Shu Wu, Liang Wang
2023Annual Meeting of the Association for Computational Linguistics37 citations Open access
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Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks
Jun-Fei Wu, Weizhi Xu, Q. Liu, Shu Wu +1 more
2022IEEE Transactions on Knowledge and Data Engineering37 citations Open access
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Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing
Q. Liu, Jun-Fei Wu, Shu Wu, Liang Wang
2023IEEE Transactions on Knowledge and Data Engineering34 citations Open access
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DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang +3 more
2022IEEE Transactions on Neural Networks and Learning Systems31 citations
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GraphDIVE: Graph Classification by Mixture of Diverse Experts
Fenyu Hu, Liping Wang, Q. Liu, Shu Wu +2 more
2022International Joint Conference on Artificial Intelligence30 citations Open access
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FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
Chang Zhang, Xiangzhu Meng, Q. Liu, Shu Wu +2 more
2023Neurocomputing29 citations
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Bi-Level Graph Structure Learning for Next POI Recommendation
Liang Wang, Shu Wu, Q. Liu, Yanqiao Zhu +2 more
2024IEEE Transactions on Knowledge and Data Engineering28 citations Open access
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Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du +4 more
2023Neural Information Processing Systems28 citations Open access
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Diffusion Models for Molecules: A Survey of Methods and Tasks
Liang Wang, Chao Song, Zhiyuan Liu, Yu Rong +3 more
2025arXiv.org27 citations
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The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Zhixun Li, Dingshuo Chen, Q. Liu, Shu Wu
2022Industrial Conference on Data Mining27 citations Open access
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TFNet: Multi-Semantic Feature Interaction for CTR Prediction
Shu Wu, Feng Yu, Xueli Yu, Q. Liu +4 more
2020Annual International ACM SIGIR Conference on Research and Development in Information Retrieval26 citations Open access
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Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection
Xiang Tao, Liang Wang, Q. Liu, Shu Wu +1 more
2024The Web Conference24 citations Open access
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Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
Q. Liu, Xinlong Chen, Yue Ding, Shi-Zhen Xu +2 more
2025Conference on Empirical Methods in Natural Language Processing22 citations
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Can Large Language Models Detect Rumors on Social Media?
Q. Liu, Xiang Tao, Jun-Fei Wu, Shu Wu +1 more
2024arXiv.org22 citations
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Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
Hai-Song Gong, Weizhi Xu, Shu Wu, Q. Liu +1 more
2024AAAI Conference on Artificial Intelligence20 citations
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DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
Xin Sun, Liang Wang, Q. Liu, Shu Wu +2 more
2024Knowledge Discovery and Data Mining20 citations Open access
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RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring
Q. Liu, Yingtao Luo, Shu Wu, Zhen Zhang +3 more
2022IEEE Transactions on Knowledge and Data Engineering20 citations Open access
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Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
Xin Sun, Jia-Nan Xie, Zhong-Qi Chen, Q. Liu +6 more
2025Annual Meeting of the Association for Computational Linguistics18 citations
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Disentangled Item Representation for Recommender Systems
Zeyu Cui, Feng Yu, Shu Wu, Q. Liu +1 more
2020ACM Transactions on Intelligent Systems and Technology18 citations Open access
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MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Yuwei Xia, Mengqi Zhang, Q. Liu, Shu Wu +1 more
2023Conference on Empirical Methods in Natural Language Processing16 citations Open access
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Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation
Jinghao Zhang, Q. Liu, Shu Wu, Liang Wang
2023Annual International ACM SIGIR Conference on Research and Development in Information Retrieval15 citations Open access
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MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
Liang Wang, Shaozhen Liu, Yu Rong, De-Li Zhao +3 more
2025International Conference on Learning Representations12 citations
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What Should I Cite? A RAG Benchmark for Academic Citation Prediction
Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chao-Kun Wang +12 more
2026The Web Conference11 citations Open access
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Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction
Liping Wang, Q. Liu, Mengqi Zhang, Yaxuan Hu +2 more
2024IEEE Transactions on Knowledge and Data Engineering11 citations
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Molecular Contrastive Pretraining with Collaborative Featurizations
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang +2 more
2024Journal of Chemical Information and Modeling11 citations
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Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection
Guofan Liu, Jinghao Zhang, Q. Liu, Jun-Fei Wu +2 more
2024IEEE Transactions on Knowledge and Data Engineering11 citations
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Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
Q. Liu, Shaozhen Liu, Xin Sun, Shu Wu +1 more
2024Neural Information Processing Systems11 citations
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Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu, Wen-Bo Hu, Xin Sun, Q. Liu +1 more
2023IEEE Transactions on Knowledge and Data Engineering11 citations Open access
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