Yuqi Liang

Orcid: 0000-0002-6820-2333

According to our database1, Yuqi Liang authored at least 22 papers between 2000 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2000
2005
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2020
2025
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Links

On csauthors.net:

Bibliography

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

2024
Predicting stock market trends with self-supervised learning.
Neurocomputing, February, 2024

An Evaluation Framework for Product Images Background Inpainting based on Human Feedback and Product Consistency.
CoRR, 2024

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU.
CoRR, 2024

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.
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
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CoRR, 2023

Efficient Continuous Space Policy Optimization for High-frequency Trading.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Complete Instances Mining for Weakly Supervised Instance Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Retinex-based Illumination feature fusion network for low-light image enhancement.
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
Enhancing XML Data Processing in Relational System with Indices.
Proceedings of the Advances in Web-Age Information Management, 2001

VXMLR: A Visual XML-Relational Database System.
Proceedings of the VLDB 2001, 2001

2000
A Two-Level Method for Clustering DTDs.
Proceedings of the Web-Age Information Management, First International Conference, 2000


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