Junran Wu

According to our database, Junran Wu authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation.

Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu, Ke Xu

Expert Syst. J. Knowl. Eng., March, 2025

Molecular graph contrastive learning with line graph.

Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

Pattern Recognit., 2025

Rumor Detection on Social Media with Temporal Propagation Structure Optimization.

Xingyu Peng, Junran Wu, Ruomei Liu, Ke Xu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection.

Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence.

Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu, Ke Xu

IEEE Trans. Knowl. Data Eng., December, 2024

NC-NCD: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

CoRR, 2024

Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection.

Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu

CoRR, 2024

HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.

He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection.

Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Junran Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection.

Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.

Junran Wu, Xueyuan Chen, Shangzhe Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

NC²D: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.

Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.

Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu

Proceedings of the International Conference on Machine Learning, 2023

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.

He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction.

Shangzhe Li, Junran Wu, Xin Jiang, Ke Xu

Knowl. Based Syst., 2022

Price graphs: Utilizing the structural information of financial time series for stock prediction.

Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao

Inf. Sci., 2022

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation.

Jiaheng Liu, Tong He, Honghui Yang, Rui Su, Jiayi Tian, Junran Wu, Hongcheng Guo, Ke Xu, Wanli Ouyang

CoRR, 2022

A Simple yet Effective Method for Graph Classification.

Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Structural Entropy Guided Graph Hierarchical Pooling.

Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li

Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network.

Chong Zhang, He Zhu, Xingyu Peng, Junran Wu, Ke Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Detection of Mutual Exciting Structure in Stock Price Trend Dynamics.

Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu

Entropy, 2021

TENT: Text Classification Based on ENcoding Tree Learning.

Chong Zhang, Junran Wu, He Zhu, Ke Xu

CoRR, 2021

Structural Optimization Makes Graph Classification Simpler and Better.

Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu

CoRR, 2021

2020

Predicting long-term returns of individual stocks with online reviews.

Junran Wu, Ke Xu, Jichang Zhao

Neurocomputing, 2020

2019

Online reviews can predict long-term returns of individual stocks.

Junran Wu, Ke Xu, Jichang Zhao

CoRR, 2019