Hi there! I’m a Ph.D. candidate in ECE Department at Steves Institute of Technology under the supervison of Prof. K.P (Suba) Subbalakshmi.
Previously, I got the M.S. degree in Multimedia Telecommunication from University of Liverpool, where I was guided by Prof. Qiufeng Wang and Prof.Kaizhu Huang. In here, I embarked my academic path. Before that, I obtained my B.Eng degree in Telecommunication from the Xi’an Jiaotong-Liverpool University.
My research interest includes Natural Language Processing, Multimodal, Audio/Speech Processing, Trustworthy AI.
If you’re interested at anything or if you are seeking any form of academic cooperation, please feel free to contact me at: caoyupeng.work at gmail dot com.
🔥 News
- 2024.09: 🎉 One paper was accepted by NeurIPS 2024
- 2024.09: 🎉 One paper was accepted by ICAIF 2024
- 2024.08: 💻 We host Agent-Based Single Cryptocurrenty Trading Challenge @ Coling 2025, Welcome everyone to participate!
- 2022.05: Passed Ph.D. Qualify Exam
- 2022.03: One paper was accepted by Deep Generative Models for Highly Structured Data Workshop @ ICLR 2022
- 2021.06: One paper was accepted by InterSpeech 2021
🎖 Honors and Awards
- 2021 - 2025 Provost Doctoral Fellowship
- 2021.5 Outstanding Master Thesis Award
- 2020.8 Stevens ECE 2020 Honours Summer Research Program 3rd Award
📝 Publications
(* means co-first author / equal contributions)
Main Publication
NeurIPS 2024FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
Yangyang Yu*, Zhiyuan Yao*, Haohang Li*, Zhiyang Deng*, Yupeng Cao*, Zhi Chen*, et al.ICAIF 2024ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Volatility Prediction
Yupeng Cao*, Zhi Chen*, Qingyun Pei*, Prashant Kumar, K.P. Subbalakshmi, Papa Momar Ndiaye.Pre-printCan Large Language Models Detect Misinformation in Scientific News Reporting?
Yupeng Cao, et al.ICLR-W 2022Causal-TGAN: Modeling tabular data using causally-aware GAN
Bingyang Wen, Yupeng Cao, Fan Yang, K.P. Subbalakshmi, R. Chandramouli.InterSpeech 2021Modular multi-modal attention network for Alzheimer’s disease detection using patient audio and language data
Ning Wang, Yupeng Cao, Shuai Hao, Zongru Shao, and K. Subbalakshmi.ICONIP 2019Improving script identification by integrating text recognition information
Yupeng Cao*, Jing Li*, Qiufeng Wang, Kaizhu Huang, and Rui Zhang.
Competition and Workshop Paper:
FinNLP@IJCAI-24CatMemo@ IJCAI 2024 FinLLM Challenge: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
Yupeng Cao, Zhiyuan Yao, Zhi Chen, Zhiyang DengBEA 2022Starting from “zero”: An incremental zero-shot learning approach for assessing peer feedback comments
Qinjin Jia, Yupeng Cao, Edward F. Gehringer.
Others
- Fed-FIDS: A Efficient Federated Learning-Based Intrusion Detection Framework, MILCOM 2024. (AI + Networking)\ Fan Yang, Yupeng Cao, Bingyang Wen, Cristina Comaniciu, K.P. Subbalakshmi.
- Automated Handling and Feeding Techniques for Skewering Operations, Journal of the ASABE (2024). (AI + Mechanical)
Jing Yi, Jiaqi Lyu, Wenbo Liu, Tianqi Yao, Yupeng Cao, Yuzhen Lu, and Xin Zhang. - Cutting techniques in the fish industry: A critical review, Foods 11, no. 20 (2022): 3206. (AI + Mechanical)
Wenbo Liu, Jiaqi Lyu, Di Wu, Yupeng Cao, Qingquan Ma, Yuzhen Lu, and Xin Zhang.
📖 Educations
- 2021.09 - Now, Ph.D. in Computer Engineering, Stevens Institute of Technology.
- 2019.09 - 2021.07, M.S. in Applied Artificial Intelligence, Stevens Institute of Technology.
- 2017.09 - 2018.12, M.S. in Multimedia Telecommunication, University of Liverpool.
- 2013.09 - 2017.07, B.Eng in Telecommunication, Xi’an Jiaotong-Liverpool University.
💻 Skills
- Programmings: Python, C/C++, CUDA, MATLAB, Assembly.
- Frameworks: PyTorch, LangChain, LlamaIndex, Keras, Tensorflow2.x/1.x, Scikit, Caffe.
- Application Skills: Linux, Git, LaTeX, Vim, Shell, AWS, Docker, PySpark.