Manqing Dong

Orcid: 0000-0003-1987-2207

According to our database1, Manqing Dong authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Can LLMs Serve As Time Series Anomaly Detectors?
CoRR, 2024

2023
Adversarial dual autoencoders for trust-aware recommendation.
Neural Comput. Appl., June, 2023

Gradient Boosted Neural Decision Forest.
IEEE Trans. Serv. Comput., 2023

Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services.
CoRR, 2023

2022
A survey for trust-aware recommender systems: A deep learning perspective.
Knowl. Based Syst., 2022

2021
AutoSmart: An Efficient and Automatic Machine Learning Framework for Temporal Relational Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.
IEEE J. Biomed. Health Informatics, 2020

Rating prediction via generative convolutional neural networks based regression.
Pattern Recognit. Lett., 2020

Opinion fraud detection via neural autoencoder decision forest.
Pattern Recognit. Lett., 2020

Trust in Recommender Systems: A Deep Learning Perspective.
CoRR, 2020

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
False Information Detection on Social Media.
PhD thesis, 2019

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals.
Aust. J. Intell. Inf. Process. Syst., 2019

Similarity-Aware Deep Attentive Model for Clickbait Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Dual-stream Self-Attentive Random Forest for False Information Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
A Survey on Expert Recommendation in Community Question Answering.
J. Comput. Sci. Technol., 2018

GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest.
CoRR, 2018

DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

NeuRec: On Nonlinear Transformation for Personalized Ranking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018


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