We stand with Ukraine

We stand with Ukraine

Mingyue Cheng

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

A general tail item representation enhancement framework for sequential recommendation.

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Frontiers Comput. Sci., December, 2024

Integrating Model-Based and Data-Driven Detectors for Molecular MIMO Systems.

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Chan-Byoung Chae

IEEE Wirel. Commun. Lett., June, 2024

Hidden Links Between Skin Microbiome and Skin Imaging Phenome.

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Genom. Proteom. Bioinform., 2024

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.

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CoRR, 2024

TextMatch: Enhancing Image-Text Consistency Through Multimodal Optimization.

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CoRR, 2024

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.

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CoRR, 2024

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst.

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CoRR, 2024

TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models.

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CoRR, 2024

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.

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CoRR, 2024

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.

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CoRR, 2024

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.

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CoRR, 2024

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.

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CoRR, 2024

Learning Recommender Systems with Soft Target: A Decoupled Perspective.

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CoRR, 2024

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.

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CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

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CoRR, 2024

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.

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CoRR, 2024

A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation.

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CoRR, 2024

HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction.

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CoRR, 2024

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

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CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.

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CoRR, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.

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CoRR, 2024

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

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CoRR, 2024

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

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Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.

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Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.

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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Demo: A Non-invasive and High-speed Molecular Communication Testbed with Capacitive Sensing.

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Proceedings of the IEEE INFOCOM 2024, 2024

Unlocking the Potential of Large Language Models for Explainable Recommendations.

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Proceedings of the Database Systems for Advanced Applications, 2024

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.

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Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

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Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

FER-Restricted AUV-Relaying Data Collection in Underwater Acoustic Sensor Networks.

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Tony Q. S. Quek

IEEE Trans. Wirel. Commun., December, 2023

Mobile Relaying Between USV and AUV Under FER Constraints for Underwater Data Transmission.

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Tony Q. S. Quek

IEEE Commun. Lett., December, 2023

Tracing human life trajectory using gut microbial communities by context-aware deep learning.

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Briefings Bioinform., January, 2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.

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CoRR, 2023

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.

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CoRR, 2023

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

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CoRR, 2023

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

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CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.

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Proceedings of the ACM Web Conference 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.

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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.

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Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Frame Error Rate Restricted AUV Relaying Data Collection in Underwater Acoustic Sensor Networks.

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Tony Q. S. Quek

Proceedings of the IEEE International Conference on Communications, 2023

Research on Admittance Control of Massage Robot Based on RBF Neural Network Sliding Mode Algorithm.

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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.

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Proceedings of the Database Systems for Advanced Applications, 2023

2022

Mobile Relaying-Based Reliable Data Collection in Underwater Acoustic Sensor Networks.

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IEEE Wirel. Commun. Lett., 2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.

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IEEE Trans. Knowl. Data Eng., 2022

Dynamic-Detection-Based Trajectory Planning for Autonomous Underwater Vehicle to Collect Data From Underwater Sensors.

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IEEE Internet Things J., 2022

EXPERT: transfer learning-enabled context-aware microbial community classification.

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Guangzhou Xiong

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Luís Pedro Coelho

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Briefings Bioinform., 2022

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.

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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.

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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.

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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.

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Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.

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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.

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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.

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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.

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Proceedings of the IEEE International Conference on Data Mining, 2021

Dynamic Detecting Based Trajectory Planning for AUV to Collect Data from Underwater Sensors.

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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.

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Genom. Proteom. Bioinform., 2020

2019

Stereotypes About Enterotype: the Old and New Ideas.

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Genom. Proteom. Bioinform., 2019

Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.

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Vincent W. Zheng

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Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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