Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting
Ye, J., & Borde, G. V. (2026). "Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting." arXiv preprint arXiv:2608.12251.
Education
- Ph.D. in Computer Science, New Jersey Institute of Technology (NJIT), 2025 (advisor: Distinguished Professor Guiling (Grace) Wang; NJIT Fintech Lab and Center for AI Research)
- M.S. in Computer Science, New Jersey Institute of Technology (NJIT) (advisor: Distinguished Professor Guiling (Grace) Wang)
- M.S. in Optics, Shanghai University (advisor: Prof. Ye Dai)
Employment
- Assistant Professor, School of Computing, College of Science and Mathematics, Montclair State University
Publications
Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting
Ye, J., & Wanjiku, I. G. (2026). "Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting." arXiv preprint arXiv:2608.12259.
Illusions in Humans and AI: How Visual Perception Aligns and Diverges
Yang*, J., Ye*, J., Dash, A., & Wang, G. (2025). "Illusions in Humans and AI: How Visual Perception Aligns and Diverges." arXiv preprint arXiv:2508.12422.
From Standalone LLMs to Integrated Intelligence: A Survey of Compound AI Systems
Chen, J., Ye, J., & Wang, G. (2025). "From Standalone LLMs to Integrated Intelligence: A Survey of Compound AI Systems." arXiv preprint arXiv:2506.04565.
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
Ye, J., Dash, A., Yin, W., & Wang, G. (2025). "Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding." Proceedings of NAACL 2025.
Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Ye, J., Gu, J., Zhao, X., Yin, W., & Wang, G. (2025). "Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems." Proceedings of the AAAI Conference on Artificial Intelligence.
Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management
Gu*, J., Ye*, J., Wang, G., & Yin, W. (2024). "Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management." Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), 248–256.
DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings
Gu*, J., Ye*, J., Uddin, A., & Wang, G. (2024). "DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings." Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), 388–396.
From Blind Solvers to Logical Thinkers: Benchmarking LLMs’ Logical Integrity on Faulty Mathematical Problems
Rahman*, M., Ye*, J., Yao, W., Yin, W., & Wang, G. (2024). "From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems." arXiv preprint arXiv:2410.18921.
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
Ye, J., Du, M., & Wang, G. (2024). "DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure." The 16th Asian Conference on Machine Learning.
From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
Ye*, J., Goswami*, B., Gu*, J., Uddin, A., & Wang, G. (2024). "From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing." arXiv preprint arXiv:2403.06779.
High Resolution Solar Image Generation Using Generative Adversarial Networks
Dash, A., Ye, J., Wang, G., & Jin, H. (2024). "High Resolution Solar Image Generation Using Generative Adversarial Networks." Annals of Data Science, 11(5), 1545–1561.
A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing
Dash, A., Ye, J., & Wang, G. (2024). "A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing." IEEE Access, 12, 18330–18357.
Establishing a Baseline for Evaluating Blockchain-Based Self-Sovereign Identity Systems: A Systematic Approach to Assess Capability, Compatibility and Interoperability
Yao, W., Du, W., Gu, J., Ye, J., Deek, F. P., & Wang, G. (2024). "Establishing a Baseline for Evaluating Blockchain-Based Self-Sovereign Identity Systems." Proceedings of the 2024 6th Blockchain and Internet of Things Conference, 108–119.
SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
Du, W., Ye, J., Gu, J., Li, J., Wei, H., & Wang, G. (2023). "SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control." Proceedings of the AAAI Conference on Artificial Intelligence, 37(12), 14801–14810.
Prediction with Time-Series Mixer for the S&P500 Index
Ye, J., Gu, J., Dash, A., Deek, F. P., & Wang, G. (2023). "Prediction with Time-Series Mixer for the S&P500 Index." 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), 20–27.