ChartNet: Reducing Subjectivity in Stock Prediction Through Unified Technical Chart Representation.
Expert Syst. J. Knowl. Eng., March, 2025
Molecular graph contrastive learning with line graph.
Pattern Recognit., 2025
Rumor Detection on Social Media with Temporal Propagation Structure Optimization.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Forecasting Turning Points in Stock Price by Integrating Chart Similarity and Multipersistence.
IEEE Trans. Knowl. Data Eng., December, 2024
NC-NCD: Novel Class Discovery for Node Classification.
CoRR, 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection.
CoRR, 2024
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification.
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.
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.
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.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
NC<sup>2</sup>D: Novel Class Discovery for Node Classification.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
IPM: Information Lossless Pre-training Strategy for Molecular Property Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction.
Knowl. Based Syst., 2022
Price graphs: Utilizing the structural information of financial time series for stock prediction.
Inf. Sci., 2022
3D-QueryIS: A Query-based Framework for 3D Instance Segmentation.
CoRR, 2022
A Simple yet Effective Method for Graph Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Structural Entropy Guided Graph Hierarchical Pooling.
Proceedings of the International Conference on Machine Learning, 2022
Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Detection of Mutual Exciting Structure in Stock Price Trend Dynamics.
Entropy, 2021
TENT: Text Classification Based on ENcoding Tree Learning.
CoRR, 2021
Structural Optimization Makes Graph Classification Simpler and Better.
CoRR, 2021
Predicting long-term returns of individual stocks with online reviews.
Neurocomputing, 2020
Online reviews can predict long-term returns of individual stocks.
CoRR, 2019