Yi Du

Orcid: 0000-0003-3121-8937

Affiliations:
  • Computer Network Information Center, Beijing, China


According to our database1, Yi Du authored at least 47 papers between 2010 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
CataLM: empowering catalyst design through large language models.
Int. J. Mach. Learn. Cybern., June, 2025

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.
CoRR, April, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.
CoRR, April, 2025

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
ACM Trans. Knowl. Discov. Data, February, 2025

AutoDive+: An Adaptive Model Enhanced Multimodal Online Annotation Tool.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Automated taxonomy alignment via large language models: bridging the gap between knowledge domains.
Scientometrics, September, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2023

Autodive: An Integrated Onsite Scientific Literature Annotation Tool.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
A novel image dehazing framework for robust vision-based intelligent systems.
Int. J. Intell. Syst., December, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

A Knowledge Graph Based Approach to Operational Coordination Recognition in Wargame.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2021
Multi-scale Single Image Super-Resolution with Remote-Sensing Application Using Transferred Wide Residual Network.
Wirel. Pers. Commun., 2021

TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution.
ACM Trans. Intell. Syst. Technol., 2021

A remote-sensing image enhancement algorithm based on patch-wise dark channel prior and histogram equalisation with colour correction.
IET Image Process., 2021

A plexus-convolutional neural network framework for fast remote sensing image super-resolution in wavelet domain.
IET Image Process., 2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Data Augmentation for Graph Convolutional Network on Semi-supervised Classification.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Color Enhancement Scene Estimation Approach for Single Image Haze Removal.
IEEE Geosci. Remote. Sens. Lett., 2020

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion.
CoRR, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Banded choropleth map.
Pers. Ubiquitous Comput., 2018

2017
A Visual Analytics Approach for Station-Based Air Quality Data.
Sensors, 2017

An algorithm for event detection based on social media data.
Neurocomputing, 2017

Personalized microblog recommendation using sentimental features.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016
An Optimization Method for User Interface Components Based on Big Data.
Proceedings of the Challenges and Opportunity with Big Data, 2016

A Model-Driven Visualization System Based on DVDL.
Proceedings of the Challenges and Opportunity with Big Data, 2016

How to Use the Social Media Data in Assisting Restaurant Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2016

2015
Anomaly detection in traffic using L1-norm minimization extreme learning machine.
Neurocomputing, 2015

A visualization platform for spatio-temporal data: A data intensive computation framework.
Proceedings of the 23rd International Conference on Geoinformatics, 2015

2014
A sketch+fisheye interface for visual analytics of large time-series.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013
Multilevel interaction model for hierarchical tasks in information visualization.
Proceedings of the 6th International Symposium on Visual Information Communication and Interaction (VINCI), 2013

2010
Cooperative concept map based on cognitive model for visual analysis.
Proceedings of the 2010 International Symposium on Visual Information Communication, 2010


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