2024
SUM
Research
Multilingual Evidence Against Hallucinations and Misinformation
- Mentor: Professor Philipp Koehn
- Progress: Read and Thoughts
2024
SPR
EN.553.602 Research and Design in Applied Mathematics: Data Mining
- Instructor: Anthony Kearsley
- Skills Learned: Team work, Coorperation, Presentation, Machine Learning, Research, Data.
- Featured Project: Music Emotion Prediction Using Recurrent Neural Networks
github repo - Paper: Music Emotion Prediction Using Recurrent Neural Networks
- Authors: Xinyu Chang, Xiangyu Zhang, Haoruo Zhang, Yulu Ran
EN.601.664 Artificial Intelligence
- Instructor: Philipp Koehn
- Skills Learned: Artificial Intelligence Ethical Topics, …
- Notes: Course Website
EN.601.671 Natural Language Processing: Self-Supervised Models
- Instructor: Daniel Khashabi
- Skills Learned: Gradient Descent, Foward Network, Backwardpropagation, Neural Network
- Notes: Course Website.
The Website might disappear, I collect my own notes here: NLP notes - Featured Projects: MambaDiff: Revolutionizing Seq2Seq Models with Diffusion Model and Mamba Architectures.
github repo
Research
Euclidean Neural(E3nn) Networks and Equivariant Neural Networks(ENets)
- Mentor: Soledad, Villar
2023
FALL
EN.553.613 Applied Statistics and Data Analysis
- Instructor: Luana Ruiz
- Topics: Linear Regression Analysis, Diagnostics and Remedial Measures, ANOVA, T-test, F-test
- Textbook: Applied Linear Statistical Models Fifth Edition, Michael H. Kutner
- Notes: Course Note
EN.553.636 Introduction to Data Science
- Instructor: Tamas Budavari
- Topics: ML, Python, sciki-learn, PCA, Classification models
- Notes: Course Review Note
EN.553.644 Introduction to Financial Derivatives
- Instructor: David Audley, Ph.D
- Topics: Options, Binomial, Stochastic Process, Black–Scholes model, Foward and Future Contracts, Interest Rates, Value of Foward and Futures, Swaps
- Textbook: Options, Futures, and Other Derivatives, John C. Hull.pdf)
- Notes: Course Review Note
