Hengyang Lu
Orcid: 0000-0001-5321-705X
According to our database1,
Hengyang Lu
authored at least 29 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets.
IEEE Trans. Knowl. Data Eng., February, 2024
2023
IEEE Trans. Knowl. Data Eng., August, 2023
Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese Named Entity Recognition.
ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2023
An efficient Bayesian network structure learning algorithm based on structural information.
Swarm Evol. Comput., 2023
A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media.
Data Technol. Appl., 2022
Intell. Data Anal., 2022
Learning transferable and discriminative features for unsupervised domain adaptation.
Intell. Data Anal., 2022
High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies.
Appl. Soft Comput., 2022
Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings.
Data Technol. Appl., 2021
One for "All": a unified model for fine-grained sentiment analysis under three tasks.
PeerJ Comput. Sci., 2021
A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media.
PeerJ Comput. Sci., 2021
Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information.
IEEE Access, 2021
2020
Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network.
IEEE Trans. Medical Imaging, 2020
2019
Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019
Intell. Data Anal., 2019
TIMING 2.0: high-throughput single-cell profiling of dynamic cell-cell interactions by time-lapse imaging microscopy in nanowell grids.
Bioinform., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
2015
Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015