百晓学者学者目录

李庆

副教授、博士生导师、博导、教授、研究员,西南财经大学

精选作品

期刊论文

2026

Adaptive spatio-temporal wavelet hypergraph routing for evolutionary financial risk contagion

Sanchuan Xiao, Jingmei Zhao, Lin Zhang, Shaofei Shen, Yang Wang, Rui Cheng, Qing Li

Information Sciences

2026

Unifying relational and market dynamics to enhance stock trend prediction

Sanchuan Xiao, Jia Xiangfei, Changrui Yu, Qing Li

The Journal of Supercomputing

2026

Frequency-decoupled progressive graph learning for unveiling heterogeneous risk contagion in financial markets

Sanchuan Xiao, Rong Xing, Rui Cheng, Jingmei Zhao, Qing Li

Neurocomputing

2026

Learning to understand financial risk contagion from a frequency-domain graph learning framework

Sanchuan Xiao, Jingmei Zhao, Rui Cheng, Yang Wang, Shaofei Shen, Qing Li

Expert Systems with Applications

2025

基于LSTM-TCN深度学习模型的股票指数预测研究

梁少晴,李庆

《中国证券期货》

2025

Lead-LagNet: Exploiting Lead-Lag Dependencies for Cross-Series Temporal Prediction

Zhilong Xie, Shaofei Shen, Jiwen Huang, Rui Cheng, Qing Li

ACM International Conference on Information and Knowledge Management (CIKM)

2025

FAT: Frequency-Aware Pretraining for Enhanced Time-Series Representation Learning

Rui Cheng, Xiangfei Jia, Qing Li, Rong Xing, Jiwen Huang, Yu Zheng, Zhilong Xie

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

2025

TimesFNP: Contrastive Learning for Financial Domain with Noise-Resilient Prediction

Shaofei Shen, Qing Li, Yan Chen, Rui Cheng, Yu Zheng

International Conference on Computing and Artificial Intelligence (ICCAI)

2025

Getting LLM to think and act like a human being: logical path reasoning and replanning

Lin Zhang, Qing Li, Yang Wang, Jingmei Zhao

International Conference on Computing and Artificial Intelligence (ICCAI)

2025

Unraveling asset pricing with AI: A systematic literature review

Yan Chen, Lin Zhang, Zhilong Xie, Wenjie Zhang, Qing Li

Applied Soft Computing

2025

ComNC: A unified framework for trends prediction integrating node and concept effects

Sanchuan Xiao, Qing Li, Xiaoyue Gong, Jingmei Zhao, Lingyun Gu, Long Peng

Neurocomputing

2024

数字普惠金融助力乡村振兴的作用机制、主要困境与实现路径

李庆,景程

《经济论坛》

2024

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks

Shaopeng Wei, Jia Lv, Yu Fang Guo, Qing Kun Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou

Information Sciences

2023

多维无套利约束的非参数期权定价

李庆,葛翔宇,向秀莉

《中国管理科学》

2023

Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers

Rong Xing, Rui Cheng, Jiwen Huang, Qing Li, Jingmei Zhao

IEEE Transactions on Knowledge and Data Engineering

2023

The Hysteresis Effect of Momentum Spillover in Asset Pricing via Spatial-Temporal Graph Learning

Chenhao He, Qing Li, Rui Cheng, Jun Wang, Jinghua Tan

2012 International Conference on Computing, Networking and Communications (ICNC)

2023

Essential tensor learning for multimodal information-driven stock movement prediction

Jun Wang, Yexun Hu, Tai-Xiang Jiang, Jinghua Tan, Qing Li

Knowledge-Based Systems

2022

Media Platforms and Stock Performance

Xiaoman Jin, Jun Wang, Jinghua Tan, Qing Li

Journal of Global Information Management

2022

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks

Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou

IEEE Transactions on Knowledge and Data Engineering

2022

FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions

Jinghua Tan, Qing Li, Jun Wang, Junxiao Chen

Information Sciences

2022

Asset pricing via deep graph learning to incorporate heterogeneous predictors

Jiwen Huang, Rong Xing, Qing Li

International Journal of Intelligent Systems

2022

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks

Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou

IEEE Transactions on Knowledge and Data Engineering

2021

“区块链+供应链”金融模式实践与探索

万小雨,李庆,丁浩

《合作经济与科技》

2021

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

Rui Cheng, Qing Li

Proceedings of the AAAI Conference on Artificial Intelligence

2020

地方金融监管机制运行影响因素分析——以H市为例

徐蕾,张旭,李庆

《地方财政研究》

2020

单指标非参数期权定价——改进的非参数定价方法

李庆,张虎

《中国管理科学》

2020

光伏发电增值税优惠政策效应实物期权分析

李庆,周艳丽

《科研管理》

2020

农业规模经营主体金融需求测度分析——基于熵权TOPSIS模型和黑龙江483个农业规模经营主体样本的调查

杨志武,杨展,李庆,刘子瑄

《东北农业科学》

2020

A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News

Qing Li, Jinghua Tan, Jun Wang, Hsinchun Chen

IEEE Transactions on Knowledge and Data Engineering

2019

证券市场网络谣言治理研究:基于金融智能视角

张华,荣巍,李庆

《财经理论与实践》,Vol. 40, No. 1

2019

“幸福美丽新村项目”金融授信应用研究

李庆

《西南交通大学》

2019

股权激励行权价格对公司业绩影响的实证分析

何妍,赵新泉,李庆

《统计与决策》

2017

能源价格变动对稀土企业投资影响的实证分析

何文章,李庆

《统计与决策》

2017

Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective

Qing Li, Yan Chen, Jun Wang, Yuanzhu Chen, Hsinchun Chen

IEEE Transactions on Knowledge and Data Engineering

2016

中国风电固定上网电价政策的实物期权理论与实证分析

李庆,陈敏

《中国管理科学》

2016

“互联网+”时代下银行转型之路——构建“金融+生活”生态圈

李庆

《清华金融评论》,No. 4

2016

京津冀协同发展背景下金融发展对策分析

人民银行沧州市中心支行课题组,李庆,李晓蕾,张美娟

《河北金融》

2016

The role of social sentiment in stock markets: a view from joint effects of multiple information sources

Qing Li, Jun Wang, Feng Wang, Ping Li, Ling Liu, Yuanzhu Chen

Multimedia Tools and Applications

2015

政策不确定性对可再生能源电力投资影响研究——基于实物期权理论证明与分析

李庆,赵新泉,葛翔宇

《中国管理科学》

2015

Tensor-Based Learning for Predicting Stock Movements

Qing Li, Li-ling Jiang, Ping Li, Hsinchun Chen

Proceedings of the AAAI Conference on Artificial Intelligence

2014

金融主导的全球化新趋势与我国应对

丁志杰,李庆

《国际贸易》

2013

不确定性因素造成的财务风险管理措施探讨

A.帕尔米耶里,李庆

《水利水电快报》

2013

对基层人民银行现场执法模式的思考

人行沧州市中支课题组,李庆,马海军

《河北金融》

2013

沧州市金融支持小微企业信贷政策效果分析

李庆,张忠杰,卞春生,倪凤玥,张美娟,赵桂菊

《华北金融》

2013

对各种金融市场环境下杠杆收购模式的浅析

李庆

《东方企业文化》

2013

企业社会责任:作为保险企业风险管理的重要支柱

李庆,叶含柳

《北京金融评论》

2013

对提高农村信用社内控与风险管理水平的探析

李庆

《中国乡镇企业会计》

2010

对保定市扶贫贴息到户贷款的调查

李庆,霍东升,于俊雪

《河北金融》

2010

基于分形市场理论的开放式基金风险分析

李庆,赵新泉

《金融理论与实践》

2010

对沧州市经济金融协调发展的实证研究

李庆,张云亭,卞春生,倪凤玥,张美娟,王国彬

《华北金融》

2010

欠发达地区农村金融服务组织建设研究——保定个案分析

李庆,霍东升,于俊雪

《华北金融》

2009

金融危机下扩张型企业财务风险的成因与防范

李庆

《中国总会计师》

2008

对保定市农户贷款需求与供给情况的调查

人民银行保定市中心支行课题组,李庆,霍东升,于俊雪

《华北金融》

2007

南方“三市”解决中小企业融资难的启示

李庆

《河北金融》

2007

易县扶贫合作社试点对培育农村小额信贷组织的启示

中国人民银行保定市中心支行课题组,李庆,霍东升,刘海彬

《中国金融》

2007

保定市贫困地区金融可持续发展研究

李庆,赵同胜,于俊雪

《河北金融》

2006

房地产金融风险分析

人民银行保定市中心支行课题组,李庆,薛冀峰

《华北金融》

2005

关于可转换债券的定价分析

李庆,袁蜀

《统计与决策》

2004

通向基层的货币政策传导机制亟待疏通

李庆,宋宝琦,于俊雪

《中国金融》

2004

基层人民银行执行货币政策应强化五个作用

李庆

《华北金融》

2003

刍议健全和完善商业银行内控机制

李庆,宋天兵 李金涛 李庆

《金融发展研究》,No. 10

2002

处置农村信用社不良贷款的有效途径

宋天兵,李金涛,李庆

《金融发展研究》

2002

对落实金融监管责任制的思考

李庆,宋宝琦,李俊明

《金融理论探索》

2002

探析防范与化解我国金融风险的对策

李庆

《冶金财会》

2000

邮政储蓄监管难的症结及其治理

中国人民银行保定市中心支行课题组,李庆,蔡春兴

《金融博览》

1999

亚洲金融危机本质的经济理论思考

李庆

《重庆师范大学学报(社会科学版)》

1997

建立“五个层次”,形成金融外汇大监管体系

李庆,贾留树,彭广明,刘俊涛

《中国外汇》

1996

国有商业银行发展中间业务的现实选择

李庆,冯松,陈彩芬

《中国金融》

1995

对外资投向北移动态的分析与思考

常宝清,李庆

《黑龙江金融》

1988

业务交叉是金融体制改革的催化剂

李庆

《上海金融》

1987

外汇抵押人民币贷款浅析

李庆

《上海金融》

1986

地方开办远期外汇买卖业务很有必要

李庆

《上海金融》

1982

提倡学点“折现法”

李庆

《上海金融》

预印本

2026

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations

Zhuohang Jiang, Yuxin Chen, Shijie Wang, Haohao Qu, Zhou Jindong, Wenqi Fan, Li Qing, Dongxu Liang, Jun Wang

arXiv preprint

2026

Diffusion Language Model for Recommendation

Chengyi Liu, Yongqi Zhou, Junwei Pan, Zhixiang Feng, Chengguo Yin, Haijie Gu, Jie Jiang, Yinghao Liu, Yujuan Ding, Qing Li, Wenqi Fan

arXiv preprint

2026

FinExam-10K: When Retrieval Helps Financial Reasoning?

Yan Lin, Jingyu Sun, Zhongliang Guo, Qing Li, Zhuohan Xie, Yuxia Wang

arXiv preprint

2025

MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs

Jiani Huang, Xingchen Zou, Lianghao Xia, Qing Li

arXiv preprint

2025

Continuous-time Discrete-space Diffusion Model for Recommendation

Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan, Qing Li

arXiv preprint

2025

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web

Zihuai Zhao, Yujuan Ding, Wenqi Fan, Qing Li

arXiv preprint

2025

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation

Liangbo Ning, Wenqi Fan, Qing Li

arXiv preprint

2025

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

Liang-bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang

arXiv preprint

2025

Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation

Guanyuan Yu, Qing Li, Yu Zhao, Jun Wang, YiJun Chen, Shaolei Chen

arXiv preprint

2024

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation

Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li

arXiv preprint

2024

Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation

Shiluo Huang, Zheng Liu, Ye Deng, Qing Li

arXiv preprint

2024

Fusing LLMs and KGs for Formal Causal Reasoning behind Financial Risk Contagion

Guanyuan Yu, Xv Wang, Qing Li, Yu Zhao

arXiv preprint

2023

The Power of Attention: The Positive Effect of Negative Media Exposure

Jingmei Zhao, Qinyu Gan, Qing Li

SSRN Electronic Journal

2023

Multimodal Recommender Systems: A Survey

Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li, Jiliang Tang

arXiv preprint

2023

TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation

Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang

arXiv preprint

2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling

Jiahao Wu, Wenqi Fan, Shengcai Liu, Qijiong Liu, Qing Li, Ke Tang

arXiv preprint

2022

Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization

Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li

arXiv preprint

2022

A Comprehensive Survey on Trustworthy Recommender Systems

Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li

arXiv preprint

2022

Disentangled Contrastive Learning for Social Recommendation

Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang

arXiv preprint

2020

Attacking Black-box Recommendations via Copying Cross-domain User Profiles

Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li

arXiv preprint

2019

Deep Social Collaborative Filtering

Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li

arXiv preprint

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