Ruochun Jin

Orcid: 0009-0001-2763-0577

According to our database1, Ruochun Jin authored at least 26 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Linking Entities across Relations and Graphs.
ACM Trans. Database Syst., March, 2024

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs.
CoRR, 2024

FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding.
CoRR, 2024

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Modality Re-Balance for Visual Question Answering: A Causal Framework.
Proceedings of the IEEE International Conference on Acoustics, 2024

Radar Recognition in the Wild: Enhancing Radar Emitter Recognition through Auto-Correlation Model-Agnostic Meta Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Making It Tractable to Catch Duplicates and Conflicts in Graphs.
Proc. ACM Manag. Data, 2023

GANet: Goal Area Network for Motion Forecasting.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Memory-based Exploration-value Evaluation Model for Visual Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Extracting Graphs Properties with Semantic Joins.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification.
Vis. Comput., 2022

Towards Event Prediction in Temporal Graphs.
Proc. VLDB Endow., 2022

Discovering Association Rules from Big Graphs.
Proc. VLDB Endow., 2022

Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Linking Entities across Relations and Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020
Adaptive Asynchronous Parallelization of Graph Algorithms.
ACM Trans. Database Syst., 2020

Capturing Associations in Graphs.
Proc. VLDB Endow., 2020

Application Driven Graph Partitioning.
Proceedings of the 2020 International Conference on Management of Data, 2020

2018
A Community Detection Approach to Cleaning Extremely Large Face Database.
Comput. Intell. Neurosci., 2018

SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field.
Ad Hoc Sens. Wirel. Networks, 2018

Visual Tree Convolutional Neural Network in Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Visual Confusion Label Tree for Image Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic.
Proceedings of the Applied Reconfigurable Computing - 13th International Symposium, 2017


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