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Yuqi Liang
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2020 – today
- 2024
- [j3]Zelin Ying, Dawei Cheng
, Cen Chen, Xiang Li, Peng Zhu
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [c15]Kaiming Pan
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. CIKM 2024: 4811-4818 - [c14]Haoyu Sun
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. CIKM 2024: 4898-4905 - [c13]Peng Zhu
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. CIKM 2024: 5135-5142 - [c12]Yuqi Liang
The Effectiveness Analysis Method of the Value-added Evaluation System of Higher Education Quality from the Perspective of Machine Learning. ICDSM 2024: 200-204 - [c11]Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang:
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. ECML/PKDD (9) 2024: 174-189 - [i4]Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu:
Complete Instances Mining for Weakly Supervised Instance Segmentation. CoRR abs/2402.07633 (2024) - [i3]Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang:
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. CoRR abs/2409.08282 (2024) - [i2]Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang:
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU. CoRR abs/2410.20679 (2024) - 2023
- [c10]Zhenzhen Chu
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM 2023: 3828-3832 - [c9]Tiange He
Retinex-based Illumination feature fusion network for low-light image enhancement. ICAICE 2023: 312-317 - [c8]Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu:
Complete Instances Mining for Weakly Supervised Instance Segmentation. IJCAI 2023: 1142-1150 - [c7]Li Han
Efficient Continuous Space Policy Optimization for High-frequency Trading. KDD 2023: 4112-4122 - [i1]Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang:
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CoRR abs/2305.08740 (2023) - 2022
- [j2]Peng Zhu
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. J. Web Semant. 74: 100722 (2022) - [c6]Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. CIKM 2022: 406-415 - [c5]Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CIKM 2022: 3584-3593 - [c4]Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian:
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) 2022: 306-313
2010 – 2019
- 2019
- [j1]Mianxin Liu, Chenchen Song, Yuqi Liang, Thomas Knöpfel, Changsong Zhou:
Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity. NeuroImage 198: 198-220 (2019)
2000 – 2009
- 2001
- [c3]Aoying Zhou, Hongjun Lu, Shihui Zheng, Yuqi Liang, Long Zhang, Wenyun Ji, Zengping Tian:
VXMLR: A Visual XML-Relational Database System. VLDB 2001: 719-720 - [c2]Yuqi Liang, Aoying Zhou, Shihui Zheng, Long Zhang, Wenyun Ji:
Enhancing XML Data Processing in Relational System with Indices. WAIM 2001: 168-178 - 2000
- [c1]Weining Qian, Long Zhang, Yuqi Liang, Hailei Qian, Wen Jin:
A Two-Level Method for Clustering DTDs. Web-Age Information Management 2000: 41-52
Coauthor Index
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