Mingyue Cheng

Orcid: 0000-0001-9873-7681

According to our database1, Mingyue Cheng authored at least 38 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A general tail item representation enhancement framework for sequential recommendation.
Frontiers Comput. Sci., December, 2024

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.
CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.
CoRR, 2024

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
CoRR, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR, 2024

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
CoRR, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
CoRR, 2024

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
FER-Restricted AUV-Relaying Data Collection in Underwater Acoustic Sensor Networks.
IEEE Trans. Wirel. Commun., December, 2023

Mobile Relaying Between USV and AUV Under FER Constraints for Underwater Data Transmission.
IEEE Commun. Lett., December, 2023

Tracing human life trajectory using gut microbial communities by context-aware deep learning.
Briefings Bioinform., January, 2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR, 2023

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.
CoRR, 2023

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
CoRR, 2023

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
Proceedings of the ACM Web Conference 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Frame Error Rate Restricted AUV Relaying Data Collection in Underwater Acoustic Sensor Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Research on Admittance Control of Massage Robot Based on RBF Neural Network Sliding Mode Algorithm.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Mobile Relaying-Based Reliable Data Collection in Underwater Acoustic Sensor Networks.
IEEE Wirel. Commun. Lett., 2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng., 2022

Dynamic-Detection-Based Trajectory Planning for Autonomous Underwater Vehicle to Collect Data From Underwater Sensors.
IEEE Internet Things J., 2022

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
CoRR, 2022

EXPERT: transfer learning-enabled context-aware microbial community classification.
Briefings Bioinform., 2022

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

One Person, One Model - Learning Compound Router for Sequential Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
Proceedings of the IEEE International Conference on Data Mining, 2021

Dynamic Detecting Based Trajectory Planning for AUV to Collect Data from Underwater Sensors.
Proceedings of the ICC 2021, 2021

2020
Classification of the Gut Microbiota of Patients in Intensive Care Units During Development of Sepsis and Septic Shock.
Genom. Proteom. Bioinform., 2020

2019
Stereotypes About Enterotype: the Old and New Ideas.
Genom. Proteom. Bioinform., 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019


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