Junran Wu

46 papers A* 10A 1B 2Journal 30Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Future fund holding prediction based on dynamic time-differential fund-asset networks.
Appl. Soft Comput.
Shangzhe Li, Yingke Liu, Xueyuan Chen, Xin Jiang, Junran Wu, Ke Xu
2026 A* conf
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries.
AAAI
Yue Hou, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu
2026 J jnl
Uncovering capabilities of hash function in graph classification.
Pattern Recognit.
Yingke Liu, Shangzhe Li, Bowen Shi, Junran Wu
2025 J jnl
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs.
CoRR
Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
2025 J jnl
ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation.
Expert Syst. J. Knowl. Eng.
Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu, Ke Xu
2025 J jnl
Evolving Public Attitudes Towards the HPV Vaccine in China: A Fine-Grained Emotion Analysis of Sina Weibo (2016 vs. 2024).
Entropy
Bowen Shi, Ruibo Chen, Xinyue Yuan, Junran Wu
2025 J jnl
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries.
CoRR
Yue Hou, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu
2025 J jnl
Molecular Graph Contrastive Learning with Line Graph.
CoRR
Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2025 J jnl
Molecular graph contrastive learning with line graph.
Pattern Recognit.
Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2025 J jnl
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection.
CoRR
Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu
2025 B conf
Rumor Detection on Social Media with Temporal Propagation Structure Optimization.
COLING
Xingyu Peng, Junran Wu, Ruomei Liu, Ke Xu
2025 A* conf
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection.
AAAI
Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu
2025 J jnl
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection.
CoRR
Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu
2025 A* conf
Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration.
ACM Multimedia
Yue Hou, Yingke Su, Junran Wu, Ke Xu
2025 A* conf
Toward Robust Signed Graph Learning through Joint Input-Target Denoising.
ACM Multimedia
Junran Wu, Beng Chin Ooi, Ke Xu
2025 J jnl
Toward Robust Signed Graph Learning through Joint Input-Target Denoising.
CoRR
Junran Wu, Beng Chin Ooi, Ke Xu
2024 J jnl
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection.
CoRR
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu
2024 A* conf
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection.
ACM Multimedia
Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Junran Wu
2024 J jnl
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence.
IEEE Trans. Knowl. Data Eng.
Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu, Ke Xu
2024 — conf
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.
NAACL-HLT
He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
2024 J jnl
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.
CoRR
He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, Yicheng Pan, Ke Xu
2024 — conf
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.
BIBM
Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu
2024 A conf
NC
CIKM
Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2024 J jnl
NC-NCD: Novel Class Discovery for Node Classification.
CoRR
Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu
2024 J jnl
Rumor Detection on Social Media with Temporal Propagation Structure Optimization.
CoRR
Xingyu Peng, Junran Wu, Ruomei Liu, Ke Xu
2024 A* conf
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.
ACM Multimedia
Junran Wu, Xueyuan Chen, Shangzhe Li
2024 J jnl
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning.
CoRR
Junran Wu, Xueyuan Chen, Shangzhe Li
2024 A* conf
VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection.
ACM Multimedia
Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu
2023 — conf
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
ACL (1)
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
2023 J jnl
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
CoRR
He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu
2023 A* conf
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.
ICML
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
2023 J jnl
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.
CoRR
Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu
2022 J jnl
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation.
CoRR
Jiaheng Liu, Tong He, Honghui Yang, Rui Su, Jiayi Tian, Junran Wu, Hongcheng Guo, Ke Xu, Wanli Ouyang
2022 A* conf
A Simple yet Effective Method for Graph Classification.
IJCAI
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
2022 J jnl
A Simple yet Effective Method for Graph Classification.
CoRR
Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
2022 J jnl
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction.
Knowl. Based Syst.
Shangzhe Li, Junran Wu, Xin Jiang, Ke Xu
2022 B conf
Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network.
COLING
Chong Zhang, He Zhu, Xingyu Peng, Junran Wu, Ke Xu
2022 J jnl
Price graphs: Utilizing the structural information of financial time series for stock prediction.
Inf. Sci.
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
2022 A* conf
Structural Entropy Guided Graph Hierarchical Pooling.
ICML
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
2022 J jnl
Structural Entropy Guided Graph Hierarchical Pooling.
CoRR
Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
2021 J jnl
Detection of Mutual Exciting Structure in Stock Price Trend Dynamics.
Entropy
Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu
2021 J jnl
Price graphs: Utilizing the structural information of financial time series for stock prediction.
CoRR
Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao
2021 J jnl
Structural Optimization Makes Graph Classification Simpler and Better.
CoRR
Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu
2021 J jnl
TENT: Text Classification Based on ENcoding Tree Learning.
CoRR
Chong Zhang, Junran Wu, He Zhu, Ke Xu
2020 J jnl
Predicting long-term returns of individual stocks with online reviews.
Neurocomputing
Junran Wu, Ke Xu, Jichang Zhao
2019 J jnl
Online reviews can predict long-term returns of individual stocks.
CoRR
Junran Wu, Ke Xu, Jichang Zhao