Ruohua Xu

According to our database, Ruohua Xu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

CoAuthorAI: A Human in the Loop System For Scientific Book Writing.

Yangjie Tian, Xungang Gu, Yun Zhao, Jiale Yang, Lin Yang, Ning Li, He Zhang, Ruohua Xu, Hua Wang, Kewen Liao, Ming Liu

CoRR, April, 2026

ReusStdFlow: A Standardized Reusability Framework for Dynamic Workflow Construction in Agentic AI.

Gaoyang Zhang, Shanghong Zou, Yafang Wang, He Zhang, Ruohua Xu, Feng Zhao

CoRR, February, 2026

2025

Fault2Flow: An AlphaEvolve-Optimized Human-in-the-Loop Multi-Agent System for Fault-to-Workflow Automation.

Yafang Wang, Yangjie Tian, Xiaoyu Shen, Gaoyang Zhang, Jiaze Sun, He Zhang, Ruohua Xu, Feng Zhao

CoRR, November, 2025

A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols.

Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

Comput., 2025

ICDAR 2025 Competition on Understanding Chinese College Entrance Exam Papers.

Wenhao Yu, Tianrui Zong, He Zhang, Lin Yang, He Yang, Guanhao Wu, Ruohua Xu, Qinqin Yan, Liangcai Gao

Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

2024

Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation.

Yangjie Tian, Xungang Gu, Aijia Li, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2024

2023

Recent Advances in Hierarchical Multi-label Text Classification: A Survey.

Rundong Liu, Wenhan Liang, Weijun Luo, Yuxiang Song, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu

CoRR, 2023

2022

Overview of NLPCC2022 Shared Task 5 Track 1: Multi-label Classification for Scientific Literature.

Ming Liu, He Zhang, Yangjie Tian, Tianrui Zong, Borui Cai, Ruohua Xu, Yunfeng Li

Proceedings of the Natural Language Processing and Chinese Computing, 2022

2021

Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data.

Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang

Data Min. Knowl. Discov., 2021

2020

Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.

Yuan Jin, He Zhao, Ming Liu, Lan Du, Yunfeng Li, Ruohua Xu, Longxiang Gao

CoRR, 2020

2019

Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data.

Yuan Jin, Lan Du, Longxiang Gao, Yong Xiang, Yunfeng Li, Ruohua Xu

CoRR, 2019