Preprint and Papers
Jingyi Gu*, Xuan Zhang*, Guiling Wang. “Beyond the Norm: A Survey of Synthetic Data Generation for Rare Events.” arXiv:2506.06380, 2025. [paper]
Ankan Dash, Jingyi Gu, Guiling Wang. “Eye-See-You: Reverse Pass-Through VR and Head Avatars.” International Joint Conference on Artificial Intelligence (IJCAI) Special Track on AI4Tech, 2025. [paper]
Jingyi Gu, Wenlu Du, Guiling Wang. “RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction.” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025. [paper] [code]
Junyi Ye, Jingyi Gu, Xinyun Zhao, Wenpeng Yin, Guiling Wang. “ Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems.” AAAI Conference on Artificial Intelligence (AAAI), 2025. [paper] [code] [slides] [poster]
Jingyi Gu*, Junyi Ye*, Guiling Wang, Wenpeng Yin “Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management.” 5th ACM International Conference on AI in Finance (ICAIF), 2024. [paper] [code] [slides]
Jingyi Gu*, Junyi Ye*, Ajim Uddin, Guiling Wang. “DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encoding.” 5th ACM International Conference on AI in Finance (ICAIF), 2024. [paper] [code] [slides]
Ankan Dash, Jingyi Gu, Guiling Wang. “HierGAN: GAN-Based Hierarchical Model for Combined RGB and Depth Inpainting.” IEEE / CVF Computer Vision and Pattern Recognition Conference Workshop on Computer Vision in the Wild 2024 (CVPR’24 CVinW Workshop).
Wei Yao, Wenlu Du, Jingyi Gu, Junyi Ye, Fadi P. Deek, Guiling Wang. “Establishing a Baseline for Evaluating Blockchain-Based Self-Sovereign Identity Systems: A Systematic Approach to Assess Capability, Compatibility, and Interoperability.” 6th Blockchain and Internet of Things Conference (BIOTC) 2024. [paper]
Junyi Ye*, Bhaskar Goswami*, Jingyi Gu*, Ajim Uddin, Guiling Wang. “From Factor Model to AI: Machine Learning Paradigm Reshaping Empirical Asset Pricing.” arXiv:2403.06779, 2024. [paper]
Ankan Dash, Jingyi Gu, Guiling Wang, Nirwan Ansari. “Self-Supervised Learning for User Localization.” International Conference on Computing, Networking and Communications (ICNC), 2024. [paper]
Jingyi Gu, Wenlu Du, A M Muntasir Rahman, Guiling Wang. “Margin Trader: A Reinforcement Learning Framework for Portfolio Management with Margin and Constraints.” 4th ACM International Conference on AI in Finance (ICAIF), 2023. [paper] [code]
Jingyi Gu, Fadi P. Deek, Guiling Wang. “Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network.” International Journal of Artificial Intelligence & Applications 14(2):11-28, 2023. [paper] [code]
Jingyi Gu, Sarvesh Shukla, Junyi Ye, Ajim Uddin, Guiling Wang. “Deep Learning Model with Sentiment Score and Weekend Effect in Stock Price Prediction.” SN Business & Economics 3(7): 119, 2023. [paper]
Junyi Ye, Jingyi Gu, Ankan Dash, Fadi P. Deek, Guiling Wang. “Prediction with Time-Series Mixer for the S&P500 Index.” The 1st International Workshop on Big Data Analytics in Finance and Commerce, The 39th IEEE International Conference on Data Engineering Workshop (ICDEW), 2023.[paper]
Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang. “SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control.” Proceedings of the AAAI Conference on Artificial Intelligence, 2023. [paper] [code]
Wei Yao*, Jingyi Gu*, Wenlu Du*, Fadi P. Deek, Guiling Wang. “ADPP: A Novel Anomaly Detection and Privacy-Preserving Framework in Tokenomics.” International Journal of Artificial Intelligence & Applications 13(6):17-32, November 2022. [paper]