Ruochun Jin - RankMe

46 papers A* 10A 4B 3C 1Misc 3Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAST: Character-and-Scene Episodic Memory for Agents. CoRR Kexin Ma, Bojun Li, Yuhua Tang, Liting Sun, Ruochun Jin
2026	J	`jnl`	Efficient Table Embeddings via Self-Supervised Structural-Semantic Graph Autoencoder. Inf. Process. Manag. Jinlong Tian, Shixuan Liu, Ruochun Jin, Mengmeng Li, Yanfang Zhou, Xinhai Xu, Yuhua Tang
2025	—	`conf`	Advanced Strategic Improvement with Decision Interactions. ECML/PKDD (1) Wenjing Yang, Xinpeng Lv, Yunxin Mao, Liyang Xu, Ruochun Jin, Huan Chen, Jing Ren, Jinxuan Yang, Yuanlong Chen, Haotian Wang
2025	A*	`conf`	CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL. ICDE Meng Zhang, Kexin Ma, Liyang Xu, Kedi Zhang, Yuanxi Peng, Ruochun Jin
2025	—	`conf`	ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs. EMNLP (Findings) Zige Wang, Qi Zhu, Fei Mi, Minghui Xu, Ruochun Jin, Wenjing Yang
2025	J	`jnl`	ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs. CoRR Zige Wang, Qi Zhu, Fei Mi, Minghui Xu, Ruochun Jin, Wenjing Yang
2025	A	`conf`	Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models. CIKM Jintao Huang, Dong Wang, Shasha Li, Yuanxi Peng, Ruochun Jin
2025	A	`conf`	Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density. UAI Zhaoye Li, Siyuan Shen, Wenjing Yang, Ruochun Jin, Huan Chen, Ligong Cao, Jing Ren
2025	B	`conf`	Enhancing Vector Data Quality through Negative Learning for Retrieval-augmented Large Models. IJCNN Limei Yao, Kexin Ma, Ruochun Jin, Haoqi Zheng, Dong Wang
2025	A*	`conf`	FutureNet-LoF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. ICRA Mingkun Wang, Xiaoguang Ren, Ruochun Jin, Minglong Li, Xiaochuan Zhang, Changqian Yu, Mingxu Wang, Wenjing Yang
2025	—	`conf`	Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System. ACL (Findings) Haoqi Zheng, DongWang DongWang, Silin Yang, Yunpeng Qi, Ruochun Jin, Liyang Xu
2025	J	`jnl`	Outliers: The Good, the Bad and the Ugly. Proc. ACM Manag. Data Shenglin Chen, Wenfei Fan, Ruochun Jin
2025	A*	`conf`	TALON: A Multi-Agent Framework for Long-Table Exploration and Question Answering. EMNLP Ruochun Jin, Xiyue Wang, Dong Wang, Haoqi Zheng, Yunpeng Qi, Silin Yang, Meng Zhang
2025	B	`conf`	TableCritic: Refine Table Reasoning via Self-Criticism and Tool Library. CogSci Ruochun Jin, Dong Wang, Xiyue Wang, Haoqi Zheng
2025	Misc	`conf`	TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation. ICASSP Silin Yang, Dong Wang, Haoqi Zheng, Ruochun Jin
2024	C	`conf`	An Efficient Query Optimization Framework Based on MCTS and LTR. ACML Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren
2024	A*	`conf`	Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis. ICDE Xi Wang, Ruochun Jin, Wanrong Huang, Yuhua Tang
2024	—	`conf`	Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. EMNLP (Findings) Kexin Ma, Ruochun Jin, Haotian Wang, Xi Wang, Huan Chen, Yuhua Tang, Qian Wang
2024	J	`jnl`	Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. CoRR Kexin Ma, Ruochun Jin, Xi Wang, Huan Chen, Jing Ren, Yuhua Tang
2024	J	`jnl`	FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. CoRR Mingkun Wang, Xiaoguang Ren, Ruochun Jin, Minglong Li, Xiaochuan Zhang, Changqian Yu, Mingxu Wang, Wenjing Yang
2024	J	`jnl`	Linking Entities across Relations and Graphs. ACM Trans. Database Syst. Wenfei Fan, Ping Lu, Kehan Pang, Ruochun Jin, Wenyuan Yu
2024	Misc	`conf`	Modality Re-Balance for Visual Question Answering: A Causal Framework. ICASSP Xinpeng Lv, Wanrong Huang, Haotian Wang, Ruochun Jin, Xueqiong Li, Zhipeng Lin, Shuman Li, Yongquan Feng, Yuhua Tang
2024	Misc	`conf`	Radar Recognition in the Wild: Enhancing Radar Emitter Recognition through Auto-Correlation Model-Agnostic Meta Learning. ICASSP Yixian Luo, Shaowu Yang, Tianrui Liu, Huibin Tan, Ruochun Jin, Hengzhu Liu, Xueqiong Li
2024	J	`jnl`	TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation. CoRR Silin Yang, Dong Wang, Haoqi Zheng, Ruochun Jin
2024	A*	`conf`	Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2023	A*	`conf`	Extracting Graphs Properties with Semantic Joins. ICDE Yang Cao, Wenfei Fan, Wenzhi Fu, Ruochun Jin, Weijie Ou, Wenliang Yi
2023	A*	`conf`	GANet: Goal Area Network for Motion Forecasting. ICRA Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
2023	J	`jnl`	Making It Tractable to Catch Duplicates and Conflicts in Graphs. Proc. ACM Manag. Data Wenfei Fan, Wenzhi Fu, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian
2023	A*	`conf`	Memory-based Exploration-value Evaluation Model for Visual Navigation. ICRA Yongquan Feng, Liyang Xu, Minglong Li, Ruochun Jin, Da Huang, Shaowu Yang, Wenjing Yang
2022	J	`jnl`	Discovering Association Rules from Big Graphs. Proc. VLDB Endow. Wenfei Fan, Wenzhi Fu, Ruochun Jin, Ping Lu, Chao Tian
2022	J	`jnl`	GANet: Goal Area Network for Motion Forecasting. CoRR Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
2022	J	`jnl`	Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. Vis. Comput. Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li, Peng Qiao
2022	A*	`conf`	Linking Entities across Relations and Graphs. ICDE Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu
2022	A	`conf`	Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. ICME Sidun Liu, Peng Qiao, Yong Dou, Ruochun Jin
2022	J	`jnl`	Towards Event Prediction in Temporal Graphs. Proc. VLDB Endow. Wenfei Fan, Ruochun Jin, Ping Lu, Chao Tian, Ruiqi Xu
2020	J	`jnl`	Adaptive Asynchronous Parallelization of Graph Algorithms. ACM Trans. Database Syst. Wenfei Fan, Ping Lu, Wenyuan Yu, Jingbo Xu, Qiang Yin, Xiaojian Luo, Jingren Zhou, Ruochun Jin
2020	—	`conf`	Application Driven Graph Partitioning. SIGMOD Conference Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Xiaojian Luo, Ruiqi Xu, Qiang Yin, Wenyuan Yu, Jingren Zhou
2020	J	`jnl`	Capturing Associations in Graphs. Proc. VLDB Endow. Wenfei Fan, Ruochun Jin, Muyang Liu, Ping Lu, Chao Tian, Jingren Zhou
2019	J	`jnl`	Visual Confusion Label Tree For Image Classification. CoRR Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li
2019	J	`jnl`	Visual Tree Convolutional Neural Network in Image Classification. CoRR Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao
2018	J	`jnl`	A Community Detection Approach to Cleaning Extremely Large Face Database. Comput. Intell. Neurosci. Chi Jin, Ruochun Jin, Kai Chen, Yong Dou
2018	J	`jnl`	SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field. Ad Hoc Sens. Wirel. Networks Ruochun Jin, Kui Wu, Yong Dou, Mantis H. M. Cheng
2018	A	`conf`	Visual Confusion Label Tree for Image Classification. ICME Yuntao Liu, Yong Dou, Ruochun Jin, Rongchun Li
2018	B	`conf`	Visual Tree Convolutional Neural Network in Image Classification. ICPR Yuntao Liu, Yong Dou, Ruochun Jin, Peng Qiao
2017	—	`conf`	Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic. ARC Ruochun Jin, Jingfei Jiang, Yong Dou
2017	A*	`conf`	Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. IJCAI Ruochun Jin, Yong Dou, Yueqing Wang, Xin Niu