Publications
Representative papers
- Graph Contrastive Learning with Adaptive Augmentation.
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang. International World Wide Web Conference, 2021. [bib] - Session-based Recommendation with Graph Neural Network.
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan. The Association for the Advancement of Artificial Intelligence, 2019. [bib] - A Convolutional Approach for Misinformation Identification.
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. International Joint Conference on Artificial Intelligence, 2017. [bib] - Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts.
Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. The Association for the Advancement of Artificial Intelligence, 2016. [bib]
2024
- Modality-Balanced Learning for Multimedia Recommendation.
Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang. ACM International Conference on Multimedia(ACM MM), 2024. [bib] - Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media.
Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2024. [bib] - DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generaliztion.
Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang.Knowledge Discovery and Data Mining, 2024. [bib] - Stealthy Attack on Large Language Model based Recommendation.
Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang. Annual Meeting of the Association for Computational Linguistics, 2024. [bib] - Knowledge Graph Enhanced Large Language Model Editing.
Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen. Annual Meeting of the Association for Computational Linguistics, findings, 2024. [bib] - Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.
Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan. Annual Meeting of the Association for Computational Linguistics, findings, 2024. [bib] [code] - Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning.
Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiao-Yu Zhang. Annual Meeting of the Association for Computational Linguistics, findings, 2024. [bib] - EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification.
Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang. Annual Meeting of the Association for Computational Linguistics, findings, 2024. [bib] - MetaTKG++: Learning Evolving Factor Enhanced Meta-knowledge for Temporal Knowledge Graph Reasoning.
Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang. Pattern Recognition, 2024. [bib] - Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing.
Qiang Liu, Junfei Wu, Shu Wu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering, 2024. [bib] - GraphFM: Graph Factorization Machines for Feature Interaction Modeling.
Shu Wu, Zekun Li, Yunyue Su, Zeyu Cui, Xiaoyu Zhang and Liang Wang. Machine Intelligence Research, 2024. [bib] [code] - Molecular Contrastive Pretraining with Collaborative Featurizations.
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu. Journal of Chemical Information and Modeling, 2024. [bib] - Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection.
Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang. International World Wide Web Conference, 2024. [bib] - CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction.
Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu. SIAM International Conference on Data Mining, 2024. [bib] - Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization.
Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang. International Conference on Acoustics, Speech, & Signal Processing, 2024. [bib] - Text-Guided Molecule Generation with Diffusion Language Model.
Haisong Gong, Qiang Liu, Shu Wu, Liang Wang. The Association for the Advancement of Artificial Intelligence, 2024. [bib] - Rethinking Graph Masked Autoencoders through Alignment and Uniformity.
Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang. The Association for the Advancement of Artificial Intelligence, 2024. [bib] - Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables.
Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang. The Association for the Advancement of Artificial Intelligence, 2024. [bib]
2023
- Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks.
Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering, 2023. [bib] - Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction.
Xin Sun, Qiang Liu, Shu Wu, Liang Wang, Zilei Wang. Conference on Empirical Methods in Natural Language Processing, Findings, 2023. [bib] - GSLB: The Graph Structure Learning Benchmark.
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu. Conference and Workshop on Neural Information Processing Systems, 2023. [bib] - Uncovering Neural Scaling Law in Molecular Representation Learning.
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang. Conference and Workshop on Neural Information Processing Systems, 2023. [bib] - A Robust Multi-site Brain Network Analysis Framework based on Federated Learning for Brain Disease Diagnosis.
Chang Zhang, Qiang Liu, Shu Wu, Liang Wang, Huangsheng Ning. Neurocomputing, 2023. [bib] - Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction.
Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering, 2023. [bib] - Personalized Interest Sustainability Modeling for Sequential POI Recommendation.
Zewen Long, Liang Wang, Qiang Liu, Shu Wu. ACM International Conference on Information and Knowledge Management (CIKM), 2023. [bib] - Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining.
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu. ACM Transactions on Intelligent Systems and Technology (TIST), 2023. [bib] - Learning Latent Relations for Temporal Knowledge Graph Reasoning.
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang. Annual Meeting of the Association for Computational Linguistics, findings (ACL), 2023. [bib] - Counterfactual Debiasing for Fact Verification.
Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang. Annual Meeting of the Association for Computational Linguistics, findings (ACL), 2023. [bib] - Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation.
Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. [bib] - Improving Multi-Task GNNs for Molecular Property Prediction via Missing Label Imputation.
Fenyu Hu, Dingshuo Chen, Qiang Liu, Shu Wu, Liang Wang. Machine Intelligence Research (MIR), 2023. [bib] - Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning.
Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang. International World Wide Web Conference (WWW), 2023. [bib] - Explainable Enterprise Credit Rating using Deep Feature Crossing.
Weiyu Guo, Zhijiang Yang, Shu Wu, Fu Chen, Xiuli Wang. Expert Systems With Applications, 2023. [bib]
2022
- AI in Human-computer Gaming: Techniques, Challenges and Opportunities.
Qiyue Yin, Jun Yang, Kaiqi Huang, Meijing Zhao, Wancheng Ni, Bin Liang, Yan Huang, Shu Wu, Liang Wang. Machine Intelligence Research (MIR), 2022. [bib] - A Survey on Deep Graph Generation: Methods and Application.
Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu. Learning on Graphs Conference (LOG), 2022. [bib] - Second-Order Global Attention Networks for Graph Classification and Regression.
Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan. International Conference on Artificial Intelligence (CICAI), 2022. [bib] - Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation.
jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. [bib] - MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning.
Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao Yu Zhang. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [bib] - GraphDIVE: Graph Classification by Mixture of Diverse Experts.
Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. International Joint Conference on Artificial Intelligence (IJCAI), 2022. [bib] - Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention.
Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. [bib] - Deep Contrastive Multiview Network Embedding.
Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2022. [bib] - The Devil is in the Conflict: Disentangled Information Graph Neural Networks For Fraud Detection.
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu. IEEE International Conference on Data Mining (ICDM), 2022. [bib] - A Unified Framework Based on Graph Consensus Term for Multiview Learning.
Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu. IEEE Transactions on Neural Networks and Learning System (TNNLS), 2022. [bib] - RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring.
Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. [bib] - DyGCN: Efficient Dynamic Graph Embedding with Graph Convolutional Network.
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai. IEEE Transactions on Neural Networks and Learning System (TNNLS), 2022. [bib] - Evidence-aware Fake News Detection with Graph Neural Networks.
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang. International World Wide Web Conference (WWW), 2022. [bib] - Structure-Enhanced Heterogeneous Graph Contrastive Learning.
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu. SIAM International Conference on Data Mining (SDM), 2022. [bib] - Structure-Enhanced Heterogeneous Graph Contrastive Learning.
Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu. SIAM International Conference on Data Mining (SDM), 2022. [bib] - Dynamic Graph Neural Networks for Sequential Recommendation.
Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. [bib] - Personalized graph neural networks with attention mechanism for session-aware recommendation.
Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. [bib]
2021
- An Empirical Study of Graph Contrastive Learning.
Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu. Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2021. [bib] - A Graph-based Relevance Matching Model for Ad-hoc Retrieval.
Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2021. [bib] - Cold-start Sequential Recommendation via Meta Learner.
Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2021. [bib] - Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval.
Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang. Proceedings of the Web Conference(WWW), 2021. [bib] - Disentangled Item Representation for Recommender Systems.
Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang. ACM Transactions on Intelligent Systems and Technology (TIST), 2021. [bib] - Mining Latent Structures for Multimedia Recommendation.
Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang. Proceedings of the 29th ACM international conference on multimedia(MM), 2021. [bib] - Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [bib] - Deep Active Learning for Text Classification with Diverse Interpretations.
Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [bib] - Label-informed Graph Structure Learning for Node Classification.
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [bib] - Fully Hyperbolic Graph Convolution Network for Recommendation.
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [bib] - Motif-aware Sequential Recommendation.
Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. [bib] - Graph Contrastive Learning with Adaptive Augmentation.
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang. International World Wide Web Conference (WWW), 2021. [bib] - Relation-aware Heterogeneous Graph for User Profiling.
Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2021. [bib]
2020
- Independence Promoted Graph Disentangled Networks.
Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao. The Association for the Advancement of Artificial Intelligence (AAAI), 2020. [bib] - Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks.
Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang. Annual Meeting of the Association for Computational Linguistics, findings (ACL), 2020. [bib] - TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation.
Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. [bib] - TFNet: Multi-Semantic Feature Interaction for CTR Prediction.
Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. [bib] - Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions.
Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2020. [bib] - Deep Graph Contrastive Representation Learning.
Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang. International Conference on Machine Learning (ICML), 2020. [bib] - Dynamic Graph Collaborative Filtering.
Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang. International Conference on Data Mining(ICDM), 2020. [bib] - GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction.
Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan. Pattern Recognition(PR), 2020. [bib] - MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation.
Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [bib]
2019
- Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction.
Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2019. [bib] - Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor.
Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu. ACM International Conference on Information and Knowledge Management (CIKM), 2019. [bib] - Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification.
Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan. International Joint Conference on Artificial Intelligence (IJCAI), 2019. [bib] - A Hierarchical Contextual Attention-based Network for Sequential Recommendation.
Qiang Cui, Shu Wu, Yan Huang, Liang Wang. Neurocomputing, 2019. [bib] - Multi-view Clustering via Joint Feature Selection and Partially Constrained Cluster Label Learning.
Qiyue Yin, Junge Zhang, Shu Wu, Hexi Li. Pattern Recognition(PR), 2019. [bib] - Semi-supervised Compatibility Learning across Categories for Clothing Matching.
Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. IEEE International Conference on Multimedia and Expo (ICME), 2019. [bib] - Attention-based Convolutional Approach for Misinformation Identification from Massive and Noisy Microblog Posts.
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. computers \& security, 2019. [bib] - Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks.
Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang. International World Wide Web Conference (WWW), 2019. [bib] - Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction.
Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang. Pacific Asia Knowledge Discovery and Data Mining(PAKDD), 2019. [bib]
2018
- Multi-view Clustering via Unified and View-Specific Embeddings Learning.
Qiyue Yin, Shu Wu, Liang Wang. IEEE Transactions on Neural Networks and Learning System (TNNLS), 2018. [bib] - Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach.
Qiang Liu, Feng Yu, Shu Wu, Liang Wang. ACM Transactions on Intelligent Systems and Technology (TIST), 2018. [bib]
2017
- A Convolutional Approach for Misinformation Identification.
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. International Joint Conference on Artificial Intelligence (IJCAI), 2017. [bib] - DeepStyle: Learning User Preferences for Visual Recommendation.
Qiang Liu, Shu Wu, Liang Wang. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. [bib] - Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Mode.
Qiang Liu, Shu Wu, Liang Wang. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2017. [bib] - Unified Subspace Learning for Incomplete and Unlabeled Multi-view Data.
Qiyue Yin, Shu Wu, Liang Wang. Pattern Recognition(PR), 2017. [bib] - Blood Pressure Prediction via Recurrent Models with Contextual Layer.
Xiaohan Li, Shu Wu, Liang Wang. International World Wide Web Conference (WWW), 2017. [bib]
2016
- Contextual Operation for Recommender Systems.
Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan. IEEE Transactions on Knowledge and Data Engineering(TKDE), 2016. [bib] - Coupled Topic Model for Collaborative Filtering with User-Generated Content.
Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang. IEEE Transactions on Human-Machine Systems(THMS), 2016. [bib] - Context-aware Sequential Recommendation.
Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang. International Conference on Data Mining(ICDM), 2016. [bib] - Personalized Ranking with Pairwise Factorization Machines.
Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. Neurocomputing, 2016. [bib] - A Dynamic Recurrent Model for Next Basket Recommendation.
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016. [bib] - Information Credibility Evaluation on Social Media.
Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan. The Association for the Advancement of Artificial Intelligence (AAAI Demo), 2016. [bib] - Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts.
Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan. The Association for the Advancement of Artificial Intelligence (AAAI), 2016. [bib]
2015
- Incomplete Multi-view Clustering via Subspace Learning.
Qiyue Yin, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2015. [bib] - Collaborative Prediction for Multi-entity Interaction with Hierarchical Representation.
Qiang Liu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2015. [bib] - Social-Relational Topic Model for Social Networks.
Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan. ACM International Conference on Information and Knowledge Management (CIKM), 2015. [bib] - A Convolutional Click Prediction Model.
Qiang Liu, Feng Yu, Shu Wu, Liang Wang. ACM International Conference on Information and Knowledge Management (CIKM), 2015. [bib] - Personalized Semantic Ranking for Collaborative Recommendation.
Song Xu, Shu Wu, Liang Wang. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2015. [bib] - COT: Contextual Operating Tensor for Context-aware Recommender Systems.
Qiang Liu, Shu Wu, Liang Wang. The Association for the Advancement of Artificial Intelligence (AAAI Oral), 2015. [bib]