Junran Wu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Text Classification

Structural Information

Minimal Spanning Tree

Top Venues

Publications

He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification. NAACL-HLT (2024)
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. CoRR (2024)
He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification. CoRR (2024)
Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
NC-NCD: Novel Class Discovery for Node Classification. CoRR (2024)
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. ICML (2023)
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. CoRR (2023)
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. CoRR (2023)
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. ACL (1) (2023)
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
A Simple yet Effective Method for Graph Classification. IJCAI (2022)
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
A Simple yet Effective Method for Graph Classification. CoRR (2022)
Jiaheng Liu, Tong He, Honghui Yang, Rui Su, Jiayi Tian, Junran Wu, Hongcheng Guo, Ke Xu, Wanli Ouyang
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation. CoRR (2022)
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
Price graphs: Utilizing the structural information of financial time series for stock prediction. Inf. Sci. 588 (2022)
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
Structural Entropy Guided Graph Hierarchical Pooling. CoRR (2022)
Shangzhe Li, Junran Wu, Xin Jiang, Ke Xu
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction. Knowl. Based Syst. 248 (2022)
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
Structural Entropy Guided Graph Hierarchical Pooling. ICML (2022)
Chong Zhang, He Zhu, Xingyu Peng, Junran Wu, Ke Xu
Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network. COLING (2022)
Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu
Structural Optimization Makes Graph Classification Simpler and Better. CoRR (2021)
Chong Zhang, Junran Wu, He Zhu, Ke Xu
TENT: Text Classification Based on ENcoding Tree Learning. CoRR (2021)
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
Price graphs: Utilizing the structural information of financial time series for stock prediction. CoRR (2021)
Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu
Detection of Mutual Exciting Structure in Stock Price Trend Dynamics. Entropy 23 (11) (2021)
Junran Wu, Ke Xu, Jichang Zhao
Predicting long-term returns of individual stocks with online reviews. Neurocomputing 417 (2020)
Junran Wu, Ke Xu, Jichang Zhao
Online reviews can predict long-term returns of individual stocks. CoRR (2019)