Yuqi Liang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting.
Proceedings of the ACM Web Conference 2026, 2026

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

S<sup>2</sup>TRAT: Image Style Transfer with Similarity Metric-Guided Region Aware Transformer.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

"Little Hands, Big Exhibitions" - Children's Virtual Curation with Generative MR Toolbox.
Proceedings of the Conference on Animation and Interactive Art, 2025

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment.
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

AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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