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ORCIDJunran Wu
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2020 – today
- 2026
[j10]Shangzhe Li, Yingke Liu, Xueyuan Chen, Xin Jiang, Junran Wu
, Ke Xu:
Future fund holding prediction based on dynamic time-differential fund-asset networks. Appl. Soft Comput. 194: 114916 (2026)- [j9]Yingke Liu, Shangzhe Li, Bowen Shi, Junran Wu:
Uncovering capabilities of hash function in graph classification. Pattern Recognit. 175: 113034 (2026) - [c16]Yue Hou, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu:
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries. AAAI 2026: 21797-21804 - 2025
- [j8]Bowen Shi, Ruibo Chen, Xinyue Yuan, Junran Wu:
Evolving Public Attitudes Towards the HPV Vaccine in China: A Fine-Grained Emotion Analysis of Sina Weibo (2016 vs. 2024). Entropy 27(9): 887 (2025) - [j7]Shangzhe Li, Yingke Liu, Fanglei Cheng, Junran Wu, Ke Xu:
ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation. Expert Syst. J. Knowl. Eng. 42(3) (2025) - [j6]Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu:
Molecular graph contrastive learning with line graph. Pattern Recognit. 162: 111380 (2025) - [c15]Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu:
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection. AAAI 2025: 17258-17266 - [c14]Xingyu Peng, Junran Wu, Ruomei Liu, Ke Xu:
Rumor Detection on Social Media with Temporal Propagation Structure Optimization. COLING 2025: 3865-3878 - [c13]Junran Wu, Beng Chin Ooi, Ke Xu:
Toward Robust Signed Graph Learning through Joint Input-Target Denoising. ACM Multimedia 2025: 8721-8729 - [c12]Yue Hou, Yingke Su, Junran Wu, Ke Xu:
Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration. ACM Multimedia 2025: 8845-8853 - [i20]Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu:
Molecular Graph Contrastive Learning with Line Graph. CoRR abs/2501.08589 (2025) - [i19]Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu:
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2503.03241 (2025) - [i18]Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu:
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection. CoRR abs/2510.14562 (2025) - [i17]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:
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs. CoRR abs/2510.16062 (2025) - [i16]Junran Wu, Beng Chin Ooi, Ke Xu:
Toward Robust Signed Graph Learning through Joint Input-Target Denoising. CoRR abs/2510.22513 (2025) - [i15]Yue Hou, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu:
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries. CoRR abs/2511.13541 (2025) - 2024
- [j5]Shangzhe Li, Yingke Liu, Xueyuan Chen, Junran Wu, Ke Xu:
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence. IEEE Trans. Knowl. Data Eng. 36(12): 8251-8266 (2024) - [c11]Ruomei Liu, Shangzhe Li, He Zhu, Yue Hou, Xingyu Peng, Haitao Yuan, Junran Wu, Ke Xu:
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction. BIBM 2024: 1021-1027 - [c10]Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu:
NC2D: Novel Class Discovery for Node Classification. CIKM 2024: 849-859 - [c9]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Junran Wu:
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection. ACM Multimedia 2024: 48-57 - [c8]Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu:
VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection. ACM Multimedia 2024: 5308-5317 - [c7]Junran Wu, Xueyuan Chen, Shangzhe Li:
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning. ACM Multimedia 2024: 6510-6519 - [c6]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: 4731-4745 - [i14]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 abs/2403.17307 (2024) - [i13]Jiaqi Zhu, Shaofeng Cai, Fang Deng, Junran Wu:
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection. CoRR abs/2404.09654 (2024) - [i12]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 abs/2407.17816 (2024) - [i11]Junran Wu, Xueyuan Chen, Shangzhe Li:
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning. CoRR abs/2410.20356 (2024) - [i10]Xingyu Peng, Junran Wu, Ruomei Liu, Ke Xu:
Rumor Detection on Social Media with Temporal Propagation Structure Optimization. CoRR abs/2412.08316 (2024) - 2023
- [c5]He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu:
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. ACL (1) 2023: 7809-7821 - [c4]Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu:
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. ICML 2023: 37293-37312 - [i9]Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu:
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning. CoRR abs/2305.04501 (2023) - [i8]He Zhu, Chong Zhang, Junjie Huang, Junran Wu, Ke Xu:
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification. CoRR abs/2305.15182 (2023) - 2022
- [j4]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: 405-424 (2022) - [j3]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: 108842 (2022) - [c3]Chong Zhang, He Zhu, Xingyu Peng, Junran Wu, Ke Xu:
Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network. COLING 2022: 950-959 - [c2]Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li:
Structural Entropy Guided Graph Hierarchical Pooling. ICML 2022: 24017-24030 - [c1]Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu:
A Simple yet Effective Method for Graph Classification. IJCAI 2022: 3580-3586 - [i7]Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu:
A Simple yet Effective Method for Graph Classification. CoRR abs/2206.02404 (2022) - [i6]Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li:
Structural Entropy Guided Graph Hierarchical Pooling. CoRR abs/2206.13510 (2022) - [i5]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 abs/2211.09375 (2022) - 2021
- [j2]Shangzhe Li, Xin Jiang, Junran Wu, Lin Tong, Ke Xu:
Detection of Mutual Exciting Structure in Stock Price Trend Dynamics. Entropy 23(11): 1411 (2021) - [i4]Junran Wu, Ke Xu, Xueyuan Chen, Shangzhe Li, Jichang Zhao:
Price graphs: Utilizing the structural information of financial time series for stock prediction. CoRR abs/2106.02522 (2021) - [i3]Junran Wu, Jianhao Li, Yicheng Pan, Ke Xu:
Structural Optimization Makes Graph Classification Simpler and Better. CoRR abs/2109.02027 (2021) - [i2]Chong Zhang, Junran Wu, He Zhu, Ke Xu:
TENT: Text Classification Based on ENcoding Tree Learning. CoRR abs/2110.02047 (2021) - 2020
- [j1]Junran Wu, Ke Xu, Jichang Zhao:
Predicting long-term returns of individual stocks with online reviews. Neurocomputing 417: 406-418 (2020)
2010 – 2019
- 2019
- [i1]Junran Wu, Ke Xu, Jichang Zhao:
Online reviews can predict long-term returns of individual stocks. CoRR abs/1905.03189 (2019)
Coauthor Index
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