| Modular Multi-Modal Attention Network for Alzheimer’s Disease Detection Using Patient Audio and Language Data}} N Wang, Y Cao, S Hao, Z Shao, KP Subbalakshmi Interspeech 2021, 3835-3839, 2021 | 41 | 2021 |
| FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making Y Yu, Z Yao, H Li, Z Deng, Y Cao, Z Chen, JW Suchow, R Liu, Z Cui, ... Advances in Neural Information Processing Systems 37, 137010-137045, 2024 | 28 | 2024 |
| Cutting Techniques in the Fish Industry: A Critical Review W Liu, J Lyu, D Wu, Y Cao, Q Ma, Y Lu, X Zhang Foods 11 (20), 3206, 2022 | 23 | 2022 |
| Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications Q Xie, D Li, M Xiao, Z Jiang, R Xiang, X Zhang, Z Chen, Y He, W Han, ... arXiv preprint arXiv:2408.11878, 2024 | 18 | 2024 |
| Causal-TGAN: Modeling Tabular Data Using Causally-Aware GAN B Wen, Y Cao, F Yang, K Subbalakshmi, R Chandramouli ICLR Workshop on Deep Generative Models for Highly Structured Data, 2022 | 18* | 2022 |
| RiskLabs: Predicting Financial Risk Using Large Language Model Based on Multi-Sources Data Y Cao, Z Chen, Q Pei, F Dimino, L Ausiello, P Kumar, KP Subbalakshmi, ... Workshop on Multimodal Financial Foundation Models (MFFMs) @ ICAIF’24, 2024 | 16 | 2024 |
| CoSMis: A Hybrid Human-LLM COVID Related Scientific Misinformation Dataset and LLM pipelines for Detecting Scientific Misinformation in the Wild Y Cao, A Nair, NJ Soofi, E Eyimife, K Subbalakshmi AAAI 2025 Workshop on Preventing and Detecting LLM Misinformation (PDLM), 2025 | 7* | 2025 |
| Starting from “Zero”: An Incremental Zero-shot Learning Approach for Assessing Peer Feedback Comments Q Jia, Y Cao, E Gehringer Proceedings of the 17th Workshop on Innovative Use of NLP for Building …, 2022 | 7 | 2022 |
| Improving Script Identification by Integrating Text Recognition Information Y Cao, J Li, QF Wang, K Huang, R Zhang ICONIP 2019, 2019 | 5* | 2019 |
| ECC Analyzer: Extracting Trading Signal from Earnings Conference Calls using Large Language Model for Stock Volatility Prediction Y Cao, Z Chen, Q Pei, N Lee, KP Subbalakshmi, PM Ndiaye Proceedings of the 5th ACM International Conference on AI in Finance, 257-265, 2024 | 4* | 2024 |
| CatMemo@ IJCAI 2024 FinLLM Challenge: Fine-Tuning Large Language Models using Data Fusion in Financial Applications Y Cao, Z Yao, Z Chen, Z Deng Proceedings of the Eighth Financial Technology and Natural Language …, 2024 | 3* | 2024 |
| INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent H Li, Y Cao, Y Yu, SR Javaji, Z Deng, Y He, Y Jiang, Z Zhu, ... arXiv preprint arXiv:2412.18174, 2024 | 2 | 2024 |
| \textsc {FLAG-Trader}: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading G Xiong, Z Deng, K Wang, Y Cao, H Li, Y Yu, X Peng, M Lin, KE Smith, ... arXiv preprint arXiv:2502.11433, 2025 | | 2025 |
| FinNLP-FNP-LLMFinLegal@ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge Y Yu, H Li, Y Cao, K Wang, Z Deng, Z Yao, Y Jiang, D Li, RL Weng, ... Proceedings of the Joint Workshop of the 9th Financial Technology and …, 2025 | | 2025 |
| Fed-FIDS: A Efficient Federated Learning-based Intrusion Detection Framework F Yang, Y Cao, B Wen, C Comaniciu, KP Subbalakshmi MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM), 987-992, 2024 | | 2024 |
| Automated Handling and Feeding Techniques for Skewering Operations Y Jing, J Lyu, W Liu, T Yao, Y Cao, Y Lu, X Zhang Journal of the ASABE 67 (5), 1181-1190, 2024 | | 2024 |
K. P. SubbalakshmiStevens Institute of TechnologyEmail được xác minh tại stevens.eduYangyang YuStevens Institute of TechnologyEmail được xác minh tại stevens.edu
Haohang LiStevens Institute of TechnologyEmail được xác minh tại stevens.edu
Qiufeng WangINT, SAT, XJTLUEmail được xác minh tại xjtlu.edu.cn
Kaizhu HuangProfessor of ECE, Duke Kunshan UniversityEmail được xác minh tại dukekunshan.edu.cn