activity
20192026
most citedVariational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

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

Yangjie Tian, Xungang Gu, Yun Zhao +8

Large language models (LLMs) are increasingly used in scientific writing but struggle with book-length tasks, often producing inconsistent structure and unreliable citations. We in…

cs.AI2026

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

Gaoyang Zhang, Shanghong Zou, Yafang Wang +3

To address the ``reusability dilemma'' and structural hallucinations in enterprise Agentic AI,this paper proposes ReusStdFlow, a framework centered on a novel ``Extraction-Storage-…

cs.AI2025

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

Yafang Wang, Yangjie Tian, Xiaoyu Shen +5

Power grid fault diagnosis is a critical process hindered by its reliance on manual, error-prone methods. Technicians must manually extract reasoning logic from dense regulations a…

cs.CL2023★ 4 cited

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

Rundong Liu, Wenhan Liang, Weijun Luo +5

Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical. It is a vital task in man…

cs.LG2019★ 4 cited

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

Yuan Jin, Ming Liu, Yunfeng Li +4

Non-negative tensor factorization models enable predictive analysis on count data. Among them, Bayesian Poisson-Gamma models can derive full posterior distributions of latent facto…