Qiang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 99

Top Venues

CoRR

AAAI

IEEE Trans. Knowl. Data Eng.

CIKM

Publications

Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
Rethinking Fair Graph Neural Networks from Re-balancing. CoRR (2024)
Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang
MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. 155 (2024)
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. WWW (2024)
Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. ACL (1) (2024)
Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR (2024)
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. CoRR (2024)
Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) (2024)
Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang
Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. CoRR (2024)
Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR (2024)
Zhao Tong, Qiang Liu, Haichao Shi, Yuwei Xia, Shu Wu, Xiaoyu Zhang
Semantics Fusion of Hierarchical Transformers for Multimodal Named Entity Recognition. ICIC (LNAI 3) (2024)
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR (2024)
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64 (4) (2024)
Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP (2024)
Han Huang, Haitian Zhong, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. CoRR (2024)
Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR (2024)
Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen
Knowledge Graph Enhanced Large Language Model Editing. CoRR (2024)
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. AAAI (2024)
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang
Text-Guided Molecule Generation with Diffusion Language Model. CoRR (2024)
Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang
Navigating the Noisy Crowd: Finding Key Information for Claim Verification. CoRR (2024)
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang
Stealthy Attack on Large Language Model based Recommendation. CoRR (2024)
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM (2024)
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang
Text-Guided Molecule Generation with Diffusion Language Model. AAAI (2024)
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. ACL (Findings) (2024)
Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. CoRR (2024)
Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiao-Yu Zhang
Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting. ACL (Findings) (2024)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR (2024)
Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. KDD (2024)
Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu
Rethinking Fair Graph Neural Networks from Re-balancing. KDD (2024)
Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang
Can Large Language Models Detect Rumors on Social Media? CoRR (2024)
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD (2023)
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW (2023)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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 Trans. Knowl. Data Eng. 35 (7) (2023)
Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR (2023)
Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR (2023)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Zewen Long, Liang Wang, Qiang Liu, Shu Wu
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM (2023)
Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR (2023)
Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR (2023)
Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
Evidence-aware Fake News Detection with Graph Neural Networks. WWW (2022)
Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR (2022)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR (2022)
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
Improving Molecular Pretraining with Complementary Featurizations. CoRR (2022)
Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR (2022)
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM (2022)
Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang
Deep Contrastive Multiview Network Embedding. CIKM (2022)
Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR (2022)
Yingtao Luo, Zhaocheng Liu, Qiang Liu
Deep Stable Representation Learning on Electronic Health Records. CoRR (2022)
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu
A Survey on Deep Graph Generation: Methods and Applications. CoRR (2022)
Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan
Second-Order Global Attention Networks for Graph Classification and Regression. CICAI (2) (2022)
Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI (2022)
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. CoRR (2022)
Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) (2022)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM (2022)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia (2021)
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang
Mining Latent Structures for Multimedia Recommendation. CoRR (2021)
Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Graph Contrastive Learning with Adaptive Augmentation. WWW (2021)
Yingtao Luo, Qiang Liu, Zhaocheng Liu
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW (2021)
Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu
Deep Active Learning for Text Classification with Diverse Interpretations. CoRR (2021)
Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu
An Empirical Study of Graph Contrastive Learning. CoRR (2021)
Yingtao Luo, Qiang Liu, Zhaocheng Liu
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR (2021)
Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CIKM (2021)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR (2021)
Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu
An Empirical Study of Graph Contrastive Learning. NeurIPS Datasets and Benchmarks (2021)
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR (2021)
Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR (2021)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Graph Contrastive Learning with Adaptive Augmentation. CoRR (2020)
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Deep Graph Contrastive Representation Learning. CoRR (2020)
Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 32 (2) (2020)
Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM (2020)
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR (2020)
Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang
Disentangled Item Representation for Recommender Systems. CoRR (2020)
Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. CoRR (2020)
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR (2020)
Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang
Deep Active Graph Representation Learning. CoRR (2020)
Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. SIGIR (2020)
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. Comput. Secur. 83 (2019)
Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM (2019)
Qiang Liu, Shu Wu, Liang Wang
Learning Preferences and Demands in Visual Recommendation. CoRR (2019)
Qiang Liu, Feng Yu, Shu Wu, Liang Wang
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. ACM Trans. Intell. Syst. Technol. 9 (5) (2018)
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
A Convolutional Approach for Misinformation Identification. IJCAI (2017)
Qiang Liu, Shu Wu, Liang Wang
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
Qiang Liu, Feng Yu, Shu Wu, Liang Wang
Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. CoRR (2017)
Qiang Liu, Shu Wu, Liang Wang
DeepStyle: Learning User Preferences for Visual Recommendation. SIGIR (2017)
Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI (2016)
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
A Dynamic Recurrent Model for Next Basket Recommendation. SIGIR (2016)
Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan
Information Credibility Evaluation on Social Media. AAAI (2016)
Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan
SAPE: A System for Situation-Aware Public Security Evaluation. AAAI (2016)
Qiang Cui, Shu Wu, Qiang Liu, Liang Wang
A Visual and Textual Recurrent Neural Network for Sequential Prediction. CoRR (2016)
Qiang Liu, Shu Wu, Liang Wang
Multi-behavioral Sequential Prediction for Collaborative Filtering. CoRR (2016)
Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan
ICE: Information Credibility Evaluation on Social Media via Representation Learning. CoRR (2016)
Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang
Context-aware Sequential Recommendation. CoRR (2016)
Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang
Context-Aware Sequential Recommendation. ICDM (2016)
Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan
Contextual Operation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Qiang Liu, Shu Wu, Liang Wang
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. CIKM (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qiang Liu