Tang, M.*, Yu, Yangyang*, A. Ding, M. B. Pouyan, T. Belkhouja, and Y. Bao. "Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Calibration for Contextual Pattern Recognition," US Patent Filed.
Tang, M.*, Yu, Yangyang*, A. Ding, M. B. Pouyan, T. Belkhouja, and Y. Bao. Adaptive Data Augmentation with Multi-armed Bandit: Sample-Efficient Embedding Calibration for Implicit Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Main, 2026).
Qian, L., X. Peng, …, Yu, Yangyang, When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents. Proceedings of The Web Conference (WWW 2026).
Peng, X., L. Qian, …, Yu, Yangyang Multifinben: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. Proceedings of the Association for Computational Linguistics (ACL 2026 Main, Oral).
Javaji, S. R., Y. Cao, H. Li, Yu, Yangyang, N. Muralidhar, and Z. Zhu. Can AI Validate Science? Benchmarking LLMs on Claim→Evidence Reasoning in AI Papers. Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP-AACL 2025, Oral).
Xiong, Guojun, …, Yu, Yangyang. FLAG-Trader: Fusion LLM-Agent with Gradient-Based Reinforcement Learning for Financial Trading. Findings of the Association for Computational Linguistics: ACL 2025, 13921–13934. (ACL Findings, 2025).
Li, H.*, Y. Cao*, Yu, Yangyang*, S. R. Javaji, Z. Deng, Y. He, Y. Jiang, Z. Zhu. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-Based Agents. Proceedings of the Association for Computational Linguistics (ACL Main, 2025).
Yu, Yangyang*, Z. Yao*, …, J. Suchow. FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. Advances in Neural Information Processing Systems (NeurIPS 2025).
Xie, Q., W. Han, Z. Chen, …, Yu, Yangyang. FinBen: An Holistic Financial Benchmark for Large Language Models. Advances in Neural Information Processing Systems (NeurIPS 2025).
Yu, Yangyang*, H. Li*, …, J. Suchow. FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design. IEEE Transactions on Big Data 11 (6). (IEEE TBD 2025).
Yu, Yangyang, and J. W. Suchow. Actively Learning a Bayesian Matrix Fusion Model with Deep Side Information. Proceedings of the Cognitive Science Society (CogSci 2024).