Yuqi Liang

35 papers A* 5A 7Misc 1Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Delay-Aware Graph Neural Stochastic Differential Equations for Financial Time Series Modeling and Forecasting.
WWW
Mingjie You, Dawei Cheng, Meilin Zhang, Peng Zhu, Yuqi Liang
2025 — conf
"Little Hands, Big Exhibitions" - Children's Virtual Curation with Generative MR Toolbox.
Expanded
Yuyang Jiang, Cekai Weng, Ching Christie Pang, Pengfei Yu, Yuqi Liang, Pan Hui
2025 J jnl
A switching method for the event-triggered practical tracking control of a class of uncertain output-constrained high-order nonlinear systems.
J. Frankl. Inst.
Jian Li, Yuqi Liang, Zhaojing Wu, Yungang Liu
2025 A conf
AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting.
CIKM
Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang
2025 A* conf
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency.
AAAI
Yuqi Liang, Jun Luo, Xiaoxi Guo, Jianqi Bi
2025 — conf
Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages.
COLING Workshops
Hongpu Zhu, Yuqi Liang, Wenjing Xu, Hongzhi Xu
2025 J jnl
Event-triggered practical tracking control for an uncertain free-flying flexible-joint space robot with dead-zone input.
Trans. Inst. Meas. Control
Jian Li, Yuqi Liang, Lingling Zhu, Zhaojing Wu
2025 Misc conf
Graph-Driven Insights: Enhancing Stock Market Prediction with Relational Temporal Dynamics.
ICASSP
Renjun Jia, Kaiming Yang, Dawei Cheng, Li Han, Yuqi Liang
2025 — conf
Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models.
IJCNLP-AACL (Findings)
Yuqi Liang, Wenjing Xu, Hongzhi Xu
2025 J jnl
MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU.
Neurocomputing
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2025 — conf
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment.
CVPR Workshops
Shuhao Han, Haotian Fan, Fangyuan Kong, Wenjie Liao, Chunle Guo, Chongyi Li, Radu Timofte, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Jianhui Sun, Xinli Yue, Tianyi Wang, Huan Hou, Junda Lu, Xinyang Huang, Zitang Zhou, Zijian Zhang, Xuhui Zheng, Xuecheng Wu, Chong Peng, Xuezhi Cao, Trong-Hieu Nguyen-Mau, Minh-Hoang Le, Minh-Khoa Le-Phan, Duy-Nam Ly, Hai-Dang Nguyen, Minh-Triet Tran, Yukang Lin, Yan Hong, Chuanbiao Song, Siyuan Li, Jun Lan, Zhichao Zhang, Xinyue Li, Wei Sun, Zicheng Zhang, Yunhao Li, Xiaohong Liu, Guangtao Zhai, Zitong Xu, Huiyu Duan, Jiarui Wang, Guangji Ma, Liu Yang, Lu Liu, Qiang Hu, Xiongkuo Min, Zichuan Wang, Zhenchen Tang, Bo Peng, Jing Dong, Fengbin Guan, Zihao Yu, Yiting Lu, Wei Luo, Xin Li, Minhao Lin, Haofeng Chen, Xuanxuan He, Kele Xu, Qisheng Xu, Zijian Gao, Tianjiao Wan, Bo-Cheng Qiu, Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin, Bo Yu, Zehao Wang, Da Mu, Mingxiu Chen, Junkang Fang, Huamei Sun, Wending Zhao, Zhiyu Wang, Wang Liu, Weikang Yu, Puhong Duan, Bin Sun, Xudong Kang, Shutao Li, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Jiarong He, Zhishan Qiao, Yongqing Huang, Zewen Chen, Zhe Pang, Juan Wang, Jian Guo, Zhizhuo Shao, Ziyu Feng, Bing Li, Weiming Hu, Hesong Li, Dehua Liu, Zeming Liu, Qingsong Xie, Ruichen Wang, Zhihao Li, Yuqi Liang, Jianqi Bi, Jun Luo, Junfeng Yang, Can Li, Jing Fu, Hongwei Xu, Mingrui Long, Lulin Tang
2025 — conf
S
PRCV (9)
Na Qi, Yezi Li, Yuqi Liang, Liang Chen, Qing Zhu
2024 J jnl
An Evaluation Framework for Product Images Background Inpainting based on Human Feedback and Product Consistency.
CoRR
Yuqi Liang, Jun Luo, Xiaoxi Guo, Jianqi Bi
2024 — conf
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.
ECML/PKDD (9)
Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 J jnl
Complete Instances Mining for Weakly Supervised Instance Segmentation.
CoRR
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
2024 A conf
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading.
CIKM
Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang
2024 A conf
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.
CIKM
Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang
2024 A conf
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CIKM
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU.
CoRR
Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang
2024 J jnl
Predicting stock market trends with self-supervised learning.
Neurocomputing
Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
2024 — conf
The Effectiveness Analysis Method of the Value-added Evaluation System of Higher Education Quality from the Perspective of Machine Learning.
ICDSM
Yuqi Liang, Bing Wang
2023 A* conf
Complete Instances Mining for Weakly Supervised Instance Segmentation.
IJCAI
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
2023 A* conf
Efficient Continuous Space Policy Optimization for High-frequency Trading.
KDD
Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang
2023 A conf
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
CIKM
Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2023 — conf
Retinex-based Illumination feature fusion network for low-light image enhancement.
ICAICE
Tiange He, Yuqi Liang
2023 J jnl
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CoRR
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
2022 J jnl
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning.
J. Web Semant.
Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo
2022 A conf
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
CIKM
Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian
2022 — conf
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
DASFAA (3)
Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian
2022 A conf
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.
CIKM
Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
2019 J jnl
Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity.
NeuroImage
Mianxin Liu, Chenchen Song, Yuqi Liang, Thomas Knöpfel, Changsong Zhou
2001 — conf
Enhancing XML Data Processing in Relational System with Indices.
WAIM
Yuqi Liang, Aoying Zhou, Shihui Zheng, Long Zhang, Wenyun Ji
2001 A* conf
VXMLR: A Visual XML-Relational Database System.
VLDB
Aoying Zhou, Hongjun Lu, Shihui Zheng, Yuqi Liang, Long Zhang, Wenyun Ji, Zengping Tian
2000 — conf
A Two-Level Method for Clustering DTDs.
Web-Age Information Management
Weining Qian, Long Zhang, Yuqi Liang, Hailei Qian, Wen Jin