Manqing Dong

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 31

Top Topics

Decision Forest

Semantic Mapping

Community Question Answering

Recommender Systems

Top Venues

Pattern Recognit. Lett.

Publications

Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35 (18) (2023)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16 (1) (2023)
Manqing Dong, Zhanxiang Zhao, Yitong Geng, Wentao Li, Wei Wang, Huai Jiang
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services. CoRR (2023)
Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249 (2022)
Manqing Dong, Chunguang Pan, Zhipeng Luo
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. CoRR (2021)
Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng
AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data. KDD (2021)
Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data. CoRR (2021)
Manqing Dong, Chunguang Pan, Zhipeng Luo
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. EMNLP (1) (2021)
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM (2021)
Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. CoRR (2020)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. 132 (2020)
Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
Trust in Recommender Systems: A Deep Learning Perspective. CoRR (2020)
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD (2020)
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang
Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. 132 (2020)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang
Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR (2019)
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) (2019)
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. 15 (2) (2019)
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR (2019)
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR (2019)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN (2019)
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR (2018)
Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
A Survey on Expert Recommendation in Community Question Answering. CoRR (2018)
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR (2018)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR (2018)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
Opinion Fraud Detection via Neural Autoencoder Decision Forest. CoRR (2018)
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC (2018)
Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
A Survey on Expert Recommendation in Community Question Answering. J. Comput. Sci. Technol. 33 (4) (2018)
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI (2018)
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang
DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. WISE (1) (2018)