Online reviews can predict long-term returns of individual stocks. - Junran Wu; Ke Xu 001; Jichang Zhao (CoRR, 2019)

Predicting long-term returns of individual stocks with online reviews. - Junran Wu; Ke Xu 001; Jichang Zhao (Neurocomputing, 2020)

Structural Optimization Makes Graph Classification Simpler and Better. - Junran Wu; Jianhao Li; Yicheng Pan 001; Ke Xu 001 (CoRR, 2021)

TENT: Text Classification Based on ENcoding Tree Learning. - Chong Zhang; Junran Wu; He Zhu; Ke Xu 001 (CoRR, 2021)

Detection of Mutual Exciting Structure in Stock Price Trend Dynamics. - Shangzhe Li; Xin Jiang 008; Junran Wu; Lin Tong; Ke Xu 001 (Entropy, 2021)

Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network. - Chong Zhang; He Zhu; Xingyu Peng; Junran Wu; Ke Xu 001 (COLING, 2022)

Structural Entropy Guided Graph Hierarchical Pooling. - Junran Wu; Xueyuan Chen; Ke Xu 001; Shangzhe Li (ICML, 2022)

A Simple yet Effective Method for Graph Classification. - Junran Wu; Shangzhe Li; Jianhao Li; Yicheng Pan 001; Ke Xu 001 (IJCAI, 2022)

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation. - Jiaheng Liu; Tong He 001; Honghui Yang; Rui Su; Jiayi Tian; Junran Wu; Hongcheng Guo; Ke Xu 001; Wanli Ouyang (CoRR, 2022)

Price graphs: Utilizing the structural information of financial time series for stock prediction. - Junran Wu; Ke Xu 001; Xueyuan Chen; Shangzhe Li; Jichang Zhao (Inf. Sci., 2022)

Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction. - Shangzhe Li; Junran Wu; Xin Jiang 008; Ke Xu 001 (Knowl. Based Syst., 2022)

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. - He Zhu; Chong Zhang; Junjie Huang 008; Junran Wu; Ke Xu 001 (ACL (1), 2023)

SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. - Junran Wu; Xueyuan Chen; Bowen Shi; Shangzhe Li; Ke Xu 001 (ICML, 2023)

IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction. - Ruomei Liu; Shangzhe Li; He Zhu; Yue Hou; Xingyu Peng; Haitao Yuan 002; Junran Wu; Ke Xu 001 (BIBM, 2024)

NC2D: Novel Class Discovery for Node Classification. - Yue Hou; Xueyuan Chen; He Zhu; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (CIKM, 2024)

Uncovering Capabilities of Model Pruning in Graph Contrastive Learning. - Junran Wu; Xueyuan Chen; Shangzhe Li (ACM Multimedia, 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 001; Jiaheng Liu (ACM Multimedia, 2024)

Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection. - Jiaqi Zhu 002; Shaofeng Cai; Fang Deng; Beng Chin Ooi; Junran Wu (ACM Multimedia, 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 001; Ke Xu 001 (NAACL-HLT, 2024)

Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. - Jiaqi Zhu 002; Shaofeng Cai; Fang Deng; Junran Wu (CoRR, 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 001 (CoRR, 2024)

Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence. - Shangzhe Li; Yingke Liu; Xueyuan Chen; Junran Wu; Ke Xu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection. - Yue Hou; He Zhu; Ruomei Liu; Yingke Su; Jinxiang Xia; Junran Wu; Ke Xu 001 (AAAI, 2025)

Rumor Detection on Social Media with Temporal Propagation Structure Optimization. - Xingyu Peng; Junran Wu; Ruomei Liu; Ke Xu 001 (COLING, 2025)

Molecular graph contrastive learning with line graph. - Xueyuan Chen; Shangzhe Li; Ruomei Liu; Bowen Shi; Jiaheng Liu; Junran Wu; Ke Xu 001 (Pattern Recognit., 2025)

ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation. - Shangzhe Li; Yingke Liu; Fanglei Cheng; Junran Wu; Ke Xu 001 (Expert Syst. J. Knowl. Eng., 2025)