* denotes equal contributions.

Preprints

Illusions in Humans and AI: How Visual Perception Aligns and Diverges
Jianyi Yang*, Junyi Ye*, Ankan Dash, Guiling Wang
arXiv preprint arXiv:2508.12422, 2025

From Standalone LLMs to Integrated Intelligence: A Survey of Compound AI Systems
Jiayi Chen, Junyi Ye, Guiling Wang
arXiv preprint arXiv:2506.04565, 2025

From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical Problems
Muntasir Rahman*, Junyi Ye*, Wei Yao, Wenpeng Yin, Guiling Wang
arXiv preprint arXiv:2410.18921, 2024

From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
Junyi Ye*, Bhaskar Goswami*, Jingyi Gu*, Ajim Uddin, Guiling Wang
arXiv preprint arXiv:2403.06779, 2024

Conference Papers

Can You Delete a Year of Market Data? Machine Unlearning Against Exact Retraining Oracles
Junyi Ye
7th ACM International Conference on AI in Finance (ICAIF 2026), 2026

Damage Predicts Recovery: When Calibration Data Matters in Compressing Financial LLMs
Junyi Ye, Mengjia Yu, Debapriya Hazra, Guiling Wang
7th ACM International Conference on AI in Finance (ICAIF 2026), 2026

Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting
Junyi Ye, Gargi Vijay Borde
7th ACM International Conference on AI in Finance (ICAIF 2026), 2026

Calibration Bets on the Past: Post-Training Quantization for Financial Time-Series Forecasting
Junyi Ye, Ivy Gateri Wanjiku
7th ACM International Conference on AI in Finance (ICAIF 2026), 2026

Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
Junyi Ye, Ankan Dash, Wenpeng Yin, Guiling Wang
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025), 2025

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems
Junyi Ye, Jingyi Gu, Xinyun Zhao, Wenpeng Yin, Guiling Wang
39th AAAI Conference on Artificial Intelligence (AAAI 2025), 2025

Adaptive and Explainable Margin Trading via Large Language Models on Portfolio Management
Jingyi Gu*, Junyi Ye*, Guiling Wang, Wenpeng Yin
5th ACM International Conference on AI in Finance (ICAIF 2024), 2024

DySTAGE: Dynamic Graph Representation Learning for Asset Pricing via Spatio-Temporal Attention and Graph Encodings
Jingyi Gu*, Junyi Ye*, Ajim Uddin, Guiling Wang
5th ACM International Conference on AI in Finance (ICAIF 2024), 2024

DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure
Junyi Ye, Mengnan Du, Guiling Wang
16th Asian Conference on Machine Learning (ACML 2024), 2024

Establishing a Baseline for Evaluating Blockchain-Based Self-Sovereign Identity Systems: A Systematic Approach to Assess Capability, Compatibility and Interoperability
Wei Yao, Wenlu Du, Jingyi Gu, Junyi Ye, Fadi P. Deek, Guiling Wang
Proceedings of the 2024 6th Blockchain and Internet of Things Conference (BIOTC), 108–119, 2024

SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control
Wenlu Du, Junyi Ye, Jingyi Gu, Jing Li, Hua Wei, Guiling Wang
Proceedings of the AAAI Conference on Artificial Intelligence, 37(12), 14801–14810, 2023

Prediction with Time-Series Mixer for the S&P500 Index
Junyi Ye, Jingyi Gu, Ankan Dash, Fadi P. Deek, Guiling Grace Wang
2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), 20–27, 2023

Journal Articles

High Resolution Solar Image Generation Using Generative Adversarial Networks
Ankan Dash, Junyi Ye, Guiling Wang, Huiran Jin
Annals of Data Science, 11(5), 1545–1561, 2024

A Review of Generative Adversarial Networks (GANs) and Its Applications in a Wide Variety of Disciplines: From Medical to Remote Sensing
Ankan Dash, Junyi Ye, Guiling Wang
IEEE Access, 12, 18330–18357, 2024