Research Publications
An Automated Startup Evaluation Pipeline: Startup Success Forecasting Framework
Wang, X., & Ihlamur, Y. • 2024
NAACL Industry Track (Under Review)
Timeline: March 2024 - Oct 2024
Key Highlights
- Developed RAG-based system for automated startup evaluation
- Created 3-block multi-agent framework for venture capitalist analysis
- Improved accuracy by 26% compared to vanilla GPT-4
- Conducted LLM Founders Segmentation on 2000+ profiles
- Developed Founder-Idea-Fit Network with 0.0386 validation loss
- Trained LLM-based Random Forest network
- Open-sourced codebase and built interactive demo
Impact
- First-author paper submitted to NAACL Industry Track 2025
- Collaboration with Vela Partners
- First-author paper submitted to NAACL Industry Track, 2025
- Open-sourced the codebase and built an interactive demo showcasing a RAG-based system and Founder-Idea-Fit Network
Agent for Machine Learning: A Text to Model Approach
Wang, X. • 2024
8th Future of Information & Communication Conference
Timeline: June 2024 - Sept 2024
Key Highlights
- Developed fully automated system for ML model generation from natural language
- Automated entire process from data preprocessing to model generation
- Achieved 0.2130 average Normalized Mean Square Error across 10 Kaggle datasets
- Implemented Multi-Agent system for comprehensive automation
- Delivered interpretable results and automated reports
Impact
- Accepted as first-author paper
None-Line-Of-Sight Imaging Beyond the Corner
Wang, X. • 2023
Tencent Aspiring Explorers in Science
Timeline: June 2022 - March 2023
Key Highlights
- Modelled NLOS Imaging with five bounces of diffuse reflections
- Proposed new algorithm for NLOS image reconstruction
- Transformed algorithm into executable discrete forms
- Generalized algorithm to Nth order bounces
- Achieved good quality in simulation results
Impact
- National First Place winner
- Supervised by Prof. Feihu Xu, USTC
- Selected for program with 5% acceptance rate
White Noise Testing on the LSTM Network Trained with Double Pendulum
Wang, X. • 2021
5th International Conference on Electrical, Mechanical and Computer Engineering
Timeline: 2021.05-2021.11
Key Highlights
- Examined computational relations between chaos and randomness
- Simulated chaotic double pendulum dynamics using Lagrangian equations
- Engineered LSTM model with MSE of 0.0019
- Applied Ljung-Box and Box-Pierce tests for randomness assessment
- Revealed seasonal and chaotic patterns in the data
Impact
- Top 10 in S.T.-Yau Global Final
- Published in Journal of Physics Conference Series
- Oral presentation at 5th ICEMCE
- Supervised by Prof. Mario Campanelli & Prof. Nicolai Reshetikhin