Ruochun Jin

According to our database, Ruochun Jin authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Linking Entities across Relations and Graphs.

Wenfei Fan, Ping Lu, Kehan Pang, Ruochun Jin, Wenyuan Yu

ACM Trans. Database Syst., March, 2024

2023

Making It Tractable to Catch Duplicates and Conflicts in Graphs.

Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian

Proc. ACM Manag. Data, 2023

GANet: Goal Area Network for Motion Forecasting.

Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Memory-based Exploration-value Evaluation Model for Visual Navigation.

Yongquan Feng, Liyang Xu, Minglong Li, Ruochun Jin, Da Huang, Shaowu Yang, Wenjing Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Extracting Graphs Properties with Semantic Joins.

Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin, Weijie Ou, Wenliang Yi

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.

Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li, Peng Qiao

Vis. Comput., 2022

Towards Event Prediction in Temporal Graphs.

Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu

Proc. VLDB Endow., 2022

Discovering Association Rules from Big Graphs.

Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian

Proc. VLDB Endow., 2022

Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization.

Sidun Liu, Peng Qiao, Yong Dou, Ruochun Jin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Linking Entities across Relations and Graphs.

Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

Adaptive Asynchronous Parallelization of Graph Algorithms.

Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin

ACM Trans. Database Syst., 2020

Capturing Associations in Graphs.

Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou

Proc. VLDB Endow., 2020

Application Driven Graph Partitioning.

Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou

Proceedings of the 2020 International Conference on Management of Data, 2020

2018

A Community Detection Approach to Cleaning Extremely Large Face Database.

Chi Jin, Ruochun Jin, Kai Chen, Yong Dou

Comput. Intell. Neurosci., 2018

SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field.

Ruochun Jin, Kui Wu, Yong Dou, Mantis H. M. Cheng

Ad Hoc Sens. Wirel. Networks, 2018

Visual Tree Convolutional Neural Network in Image Classification.

Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Visual Confusion Label Tree for Image Classification.

Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017

Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification.

Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu

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.

Ruochun Jin, Jingfei Jiang, Yong Dou

Proceedings of the Applied Reconfigurable Computing - 13th International Symposium, 2017