A Two-Level Method for Clustering DTDs. - Weining Qian; Long Zhang; Yuqi Liang; Hailei Qian; Wen Jin (Web-Age Information Management, 2000)

VXMLR: A Visual XML-Relational Database System. - Aoying Zhou; Hongjun Lu; Shihui Zheng; Yuqi Liang; Long Zhang; Wenyun Ji; Zengping Tian (VLDB, 2001)

Enhancing XML Data Processing in Relational System with Indices. - Yuqi Liang; Aoying Zhou; Shihui Zheng; Long Zhang; Wenyun Ji (WAIM, 2001)

Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity. - Mianxin Liu; Chenchen Song; Yuqi Liang; Thomas Knöpfel; Changsong Zhou (NeuroImage, 2019)

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. - Zhongjie Duan; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2022)

Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. - Sheng Xiang; Dawei Cheng; Chencheng Shang; Ying Zhang 001; Yuqi Liang (CIKM, 2022)

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. - Moming Tang; Dawei Cheng; Cen Chen 001; Yuqi Liang; Yifeng Luo; Weining Qian (DASFAA (3), 2022)

Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. - Peng Zhu; Dawei Cheng; Siqiang Luo; Ruyao Xu; Yuqi Liang; Yifeng Luo (J. Web Semant., 2022)

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. - Zhenzhen Chu; Chengyu Wang 001; Cen Chen 001; Dawei Cheng; Yuqi Liang; Weining Qian (CIKM, 2023)

Retinex-based Illumination feature fusion network for low-light image enhancement. - Tiange He; Yuqi Liang (ICAICE, 2023)

Complete Instances Mining for Weakly Supervised Instance Segmentation. - Zecheng Li; Zening Zeng; Yuqi Liang; Jin-Gang Yu (IJCAI, 2023)

Efficient Continuous Space Policy Optimization for High-frequency Trading. - Li Han 001; Nan Ding; Guoxuan Wang; Dawei Cheng; Yuqi Liang (KDD, 2023)

Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. - Kaiming Pan; Yifan Hu; Li Han 001; Haoyu Sun; Dawei Cheng; Yuqi Liang (CIKM, 2024)

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. - Haoyu Sun; Yuxuan Bian; Li Han 001; Peng Zhu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. - Peng Zhu; Yuante Li; Yifan Hu; Qinyuan Liu; Dawei Cheng; Yuqi Liang (CIKM, 2024)

The Effectiveness Analysis Method of the Value-added Evaluation System of Higher Education Quality from the Perspective of Machine Learning. - Yuqi Liang; Bing Wang (ICDSM, 2024)

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. - Haoyu Sun; Xin Liu; Yuxuan Bian; Peng Zhu; Dawei Cheng; Yuqi Liang (ECML/PKDD (9), 2024)

Predicting stock market trends with self-supervised learning. - Zelin Ying; Dawei Cheng; Cen Chen 001; Xiang Li 067; Peng Zhu; Yifeng Luo; Yuqi Liang (Neurocomputing, 2024)

An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency. - Yuqi Liang; Jun Luo; Xiaoxi Guo; Jianqi Bi (AAAI, 2025)

Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages. - Hongpu Zhu; Yuqi Liang; Wenjing Xu; Hongzhi Xu (COLING Workshops, 2025)

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment. - Shuhao Han; Haotian Fan; Fangyuan Kong; Wenjie Liao; Chunle Guo; Chongyi Li; Radu Timofte; Liang Li; Tao Li; Junhui Cui; Yunqiu Wang; Yang Tai; et al. (CVPR Workshops, 2025)

Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics. - Renjun Jia; Kaiming Yang; Dawei Cheng; Li Han 001; Yuqi Liang (ICASSP, 2025)

MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU. - Peng Zhu; Yuante Li; Yifan Hu; Sheng Xiang; Qinyuan Liu; Dawei Cheng; Yuqi Liang (Neurocomputing, 2025)

A switching method for the event-triggered practical tracking control of a class of uncertain output-constrained high-order nonlinear systems. - Jian Li 036; Yuqi Liang; Zhaojing Wu 001; Yungang Liu (J. Frankl. Inst., 2025)

Event-triggered practical tracking control for an uncertain free-flying flexible-joint space robot with dead-zone input. - Jian Li 036; Yuqi Liang; Lingling Zhu; Zhaojing Wu 001 (Trans. Inst. Meas. Control, 2025)