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2020 – today
- 2024
[j9]Wenfei Fan
, Ping Lu, Kehan Pang, Ruochun Jin, Wenyuan Yu:
Linking Entities across Relations and Graphs. ACM Trans. Database Syst. 49(1): 2:1-2:50 (2024)- [c15]Kexin Ma, Ruochun Jin, Haotian Wang, Xi Wang, Huan Chen, Yuhua Tang, Qian Wang:
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. EMNLP (Findings) 2024: 4886-4901 - [c14]Xinpeng Lv, Wanrong Huang, Haotian Wang, Ruochun Jin, Xueqiong Li, Zhipeng Lin, Shuman Li, Yongquan Feng, Yuhua Tang:
Modality Re-Balance for Visual Question Answering: A Causal Framework. ICASSP 2024: 5650-5654 - [c13]Yixian Luo, Shaowu Yang, Tianrui Liu, Huibin Tan, Ruochun Jin, Hengzhu Liu, Xueqiong Li:
Radar Recognition in the Wild: Enhancing Radar Emitter Recognition through Auto-Correlation Model-Agnostic Meta Learning. ICASSP 2024: 6155-6159 - [c12]Xi Wang, Ruochun Jin, Wanrong Huang, Yuhua Tang:
Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis. ICDE 2024: 639-652 - [c11]Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui:
Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD 2024: 3829-3840 - [i6]Mingkun Wang, Xiaoguang Ren, Ruochun Jin, Minglong Li, Xiaochuan Zhang, Changqian Yu, Mingxu Wang, Wenjing Yang:
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. CoRR abs/2406.14422 (2024) - [i5]Kexin Ma, Ruochun Jin, Xi Wang, Huan Chen, Jing Ren, Yuhua Tang:
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. CoRR abs/2408.05524 (2024) - [i4]Silin Yang, Dong Wang, Haoqi Zheng, Ruochun Jin:
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation. CoRR abs/2412.16643 (2024) - 2023
- [j8]Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian:
Making It Tractable to Catch Duplicates and Conflicts in Graphs. Proc. ACM Manag. Data 1(1): 86:1-86:28 (2023) - [c10]Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin, Weijie Ou, Wenliang Yi:
Extracting Graphs Properties with Semantic Joins. ICDE 2023: 2262-2275 - [c9]Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang:
GANet: Goal Area Network for Motion Forecasting. ICRA 2023: 1609-1615 - [c8]Yongquan Feng, Liyang Xu, Minglong Li, Ruochun Jin, Da Huang, Shaowu Yang, Wenjing Yang:
Memory-based Exploration-value Evaluation Model for Visual Navigation. ICRA 2023: 2011-2017 - 2022
- [j7]Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian:
Discovering Association Rules from Big Graphs. Proc. VLDB Endow. 15(7): 1479-1492 (2022) - [j6]Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu:
Towards Event Prediction in Temporal Graphs. Proc. VLDB Endow. 15(9): 1861-1874 (2022) - [j5]Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li, Peng Qiao:
Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. Vis. Comput. 38(3): 897-917 (2022) - [c7]Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu:
Linking Entities across Relations and Graphs. ICDE 2022: 634-647 - [c6]Sidun Liu, Peng Qiao, Yong Dou, Ruochun Jin:
Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. ICME 2022: 1-6 - [i3]Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang:
GANet: Goal Area Network for Motion Forecasting. CoRR abs/2209.09723 (2022) - 2020
- [j4]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou:
Capturing Associations in Graphs. Proc. VLDB Endow. 13(11): 1863-1876 (2020) - [j3]Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin:
Adaptive Asynchronous Parallelization of Graph Algorithms. ACM Trans. Database Syst. 45(2): 6:1-6:45 (2020) - [c5]Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou:
Application Driven Graph Partitioning. SIGMOD Conference 2020: 1765-1779
2010 – 2019
- 2019
- [i2]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. CoRR abs/1906.01536 (2019) - [i1]Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li:
Visual Confusion Label Tree For Image Classification. CoRR abs/1906.02012 (2019) - 2018
- [j2]Ruochun Jin, Kui Wu, Yong Dou, Mantis H. M. Cheng:
SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field. Ad Hoc Sens. Wirel. Networks 42(3-4): 171-198 (2018) - [j1]Chi Jin, Ruochun Jin, Kai Chen, Yong Dou:
A Community Detection Approach to Cleaning Extremely Large Face Database. Comput. Intell. Neurosci. 2018: 4512473:1-4512473:10 (2018) - [c4]Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li:
Visual Confusion Label Tree for Image Classification. ICME 2018: 1-6 - [c3]Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao:
Visual Tree Convolutional Neural Network in Image Classification. ICPR 2018: 758-763 - 2017
- [c2]Ruochun Jin, Jingfei Jiang, Yong Dou:
Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic. ARC 2017: 281-288 - [c1]Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu:
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. IJCAI 2017: 1980-1986
Coauthor Index
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