Yuqi Liang
Orcid: 0000-0002-6820-2333
According to our database1,
Yuqi Liang
authored at least 25 papers
between 2000 and 2025.
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Bibliography
2025
Event-triggered practical tracking control for an uncertain free-flying flexible-joint space robot with dead-zone input.
Trans. Inst. Meas. Control, 2025
A switching method for the event-triggered practical tracking control of a class of uncertain output-constrained high-order nonlinear systems.
J. Frankl. Inst., 2025
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.
Neurocomputing, 2025
Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Neurocomputing, February, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
The Effectiveness Analysis Method of the Value-added Evaluation System of Higher Education Quality from the Perspective of Machine Learning.
Proceedings of the International Conference on Decision Science & Management, 2024
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant., 2022
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2019
Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity.
NeuroImage, 2019
2001
Proceedings of the Advances in Web-Age Information Management, 2001
2000
Proceedings of the Web-Age Information Management, First International Conference, 2000