Accuracy Evaluation of Long Short Term Memory Network Based Language Model with Fixed-Point Arithmetic. - Ruochun Jin; Jingfei Jiang; Yong Dou (ARC, 2017)

Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification. - Ruochun Jin; Yong Dou; Yueqing Wang; Xin Niu 002 (IJCAI, 2017)

Visual Confusion Label Tree for Image Classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Rongchun Li (ICME, 2018)

Visual Tree Convolutional Neural Network in Image Classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Peng Qiao (ICPR, 2018)

SpinMag: A New Fingerprinting Method for Robot Indoor Localization with Geomagnetic Field. - Ruochun Jin; Kui Wu 001; Yong Dou; Mantis H. M. Cheng (Ad Hoc Sens. Wirel. Networks, 2018)

A Community Detection Approach to Cleaning Extremely Large Face Database. - Chi Jin; Ruochun Jin; Kai Chen 020; Yong Dou (Comput. Intell. Neurosci., 2018)

Application Driven Graph Partitioning. - Wenfei Fan; Ruochun Jin; Muyang Liu; Ping Lu 005; Xiaojian Luo; Ruiqi Xu; Qiang Yin 002; Wenyuan Yu; Jingren Zhou 001 (SIGMOD Conference, 2020)

Capturing Associations in Graphs. - Wenfei Fan; Ruochun Jin; Muyang Liu; Ping Lu 005; Chao Tian 001; Jingren Zhou 001 (Proc. VLDB Endow., 2020)

Adaptive Asynchronous Parallelization of Graph Algorithms. - Wenfei Fan; Ping Lu 005; Wenyuan Yu; Jingbo Xu 001; Qiang Yin 002; Xiaojian Luo; Jingren Zhou 001; Ruochun Jin (ACM Trans. Database Syst., 2020)

Linking Entities across Relations and Graphs. - Wenfei Fan; Liang Geng; Ruochun Jin; Ping Lu 005; Resul Tugay; Wenyuan Yu (ICDE, 2022)

Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization. - Sidun Liu; Peng Qiao; Yong Dou; Ruochun Jin (ICME, 2022)

Discovering Association Rules from Big Graphs. - Wenfei Fan; Wenzhi Fu; Ruochun Jin; Ping Lu 005; Chao Tian 001 (Proc. VLDB Endow., 2022)

Towards Event Prediction in Temporal Graphs. - Wenfei Fan; Ruochun Jin; Ping Lu 005; Chao Tian 001; Ruiqi Xu (Proc. VLDB Endow., 2022)

Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification. - Yuntao Liu 004; Yong Dou; Ruochun Jin; Rongchun Li; Peng Qiao (Vis. Comput., 2022)

Extracting Graphs Properties with Semantic Joins. - Yang Cao 012; Wenfei Fan; Wenzhi Fu; Ruochun Jin; Weijie Ou; Wenliang Yi (ICDE, 2023)

Memory-based Exploration-value Evaluation Model for Visual Navigation. - Yongquan Feng; Liyang Xu; Minglong Li; Ruochun Jin; Da Huang; Shaowu Yang; Wenjing Yang 002 (ICRA, 2023)

GANet: Goal Area Network for Motion Forecasting. - Mingkun Wang; Xinge Zhu; Changqian Yu; Wei Li 111; Yuexin Ma; Ruochun Jin; Xiaoguang Ren; Dongchun Ren; Mingxu Wang; Wenjing Yang 002 (ICRA, 2023)

Making It Tractable to Catch Duplicates and Conflicts in Graphs. - Wenfei Fan; Wenzhi Fu; Ruochun Jin; Muyang Liu; Ping Lu 005; Chao Tian 001 (Proc. ACM Manag. Data, 2023)

An Efficient Query Optimization Framework Based on MCTS and LTR. - Chaofan Zhao; Yize Sui; Ruochun Jin; Jing Ren (ACML, 2024)

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. - Kexin Ma 008; Ruochun Jin; Haotian Wang 001; Xi Wang; Huan Chen; Yuhua Tang; Qian Wang (EMNLP (Findings), 2024)

Radar Recognition in the Wild: Enhancing Radar Emitter Recognition through Auto-Correlation Model-Agnostic Meta Learning. - Yixian Luo; Shaowu Yang; Tianrui Liu; Huibin Tan; Ruochun Jin; Hengzhu Liu; Xueqiong Li (ICASSP, 2024)

Modality Re-Balance for Visual Question Answering: A Causal Framework. - Xinpeng Lv; Wanrong Huang; Haotian Wang 001; Ruochun Jin; Xueqiong Li; Zhipeng Lin; Shuman Li; Yongquan Feng; Yuhua Tang (ICASSP, 2024)

Boosting Meaningful Dependency Mining with Clustering and Covariance Analysis. - Xi Wang; Ruochun Jin; Wanrong Huang; Yuhua Tang (ICDE, 2024)

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. - Wenjing Yang 002; Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Ruochun Jin; Kun Kuang; Peng Cui 001 (KDD, 2024)

FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. - Mingkun Wang; Xiaoguang Ren; Ruochun Jin; Minglong Li; Xiaochuan Zhang; Changqian Yu; Mingxu Wang; Wenjing Yang 002 (CoRR, 2024)

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. - Kexin Ma 008; Ruochun Jin; Xi Wang; Huan Chen; Jing Ren; Yuhua Tang (CoRR, 2024)

Linking Entities across Relations and Graphs. - Wenfei Fan; Ping Lu 005; Kehan Pang; Ruochun Jin; Wenyuan Yu (ACM Trans. Database Syst., 2024)

Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System. - Haoqi Zheng; DongWang DongWang; Silin Yang; Yunpeng Qi; Ruochun Jin; Liyang Xu (ACL (Findings), 2025)

TimeRAG: Boosting LLM Time Series Forecasting via Retrieval-Augmented Generation. - Silin Yang; Dong Wang; Haoqi Zheng; Ruochun Jin (ICASSP, 2025)

CLEAR: A Parser-Independent Disambiguation Framework for NL2SQL. - Meng Zhang; Kexin Ma 008; Liyang Xu; Kedi Zhang; Yuanxi Peng; Ruochun Jin (ICDE, 2025)

Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density. - Zhaoye Li; Siyuan Shen; Wenjing Yang 002; Ruochun Jin; Huan Chen; Ligong Cao; Jing Ren (UAI, 2025)

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs. - Zige Wang; Qi Zhu 011; Fei Mi; Minghui Xu; Ruochun Jin; Wenjing Yang (CoRR, 2025)

Efficient Table Embeddings via Self-Supervised Structural-Semantic Graph Autoencoder. - Jinlong Tian; Shixuan Liu; Ruochun Jin; Mengmeng Li; Yanfang Zhou; Xinhai Xu; Yuhua Tang (Inf. Process. Manag., 2026)