Manqing Dong - RankMe

33 papers A* 4A 1B 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Can LLMs Serve As Time Series Anomaly Detectors? CoRR Manqing Dong, Hao Huang, Longbing Cao
2023	J	`jnl`	Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2023	J	`jnl`	Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
2023	J	`jnl`	Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services. CoRR Manqing Dong, Zhanxiang Zhao, Yitong Geng, Wentao Li, Wei Wang, Huai Jiang
2022	J	`jnl`	A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	A*	`conf`	AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data. KDD Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng
2021	J	`jnl`	AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data. CoRR Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng
2021	—	`conf`	MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. EMNLP (1) Manqing Dong, Chunguang Pan, Zhipeng Luo
2021	J	`jnl`	MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction. CoRR Manqing Dong, Chunguang Pan, Zhipeng Luo
2021	A*	`conf`	MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2020	A*	`conf`	MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
2020	J	`jnl`	MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. CoRR Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
2020	J	`jnl`	Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
2020	J	`jnl`	Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang
2020	J	`jnl`	Trust in Recommender Systems: A Deep Learning Perspective. CoRR Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2019	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2019	—	`conf`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	J	`jnl`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	B	`conf`	Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
2019	—	`—`	False Information Detection on Social Media. Manqing Dong
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019	—	`conf`	Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. CoRR Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. J. Comput. Sci. Technol. Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	—	`conf`	DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. WISE (1) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang
2018	A	`conf`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	J	`jnl`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	J	`jnl`	GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
2018	A*	`conf`	NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	J	`jnl`	NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	J	`jnl`	Opinion Fraud Detection via Neural Autoencoder Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning