Recent Course Projects
Here are some fun course projects I led during Master's studies, along with the reports and posters. Some of these projects might be interesting enough for industry reference.
Capital Crunch: Predicting Investments in Tech Companies
Capital Crunch is our efforts to predict investments happening between investors and technology startups. We used data from CrunchBase, built Logistic Regression and CRF models, used linguistic features and social indicators. We achieved around 80% precision based on our heuristic evaluation methods.
DeepSpeech: A Scalable Decoding System that Integrates Knowledge for Speech Recognition
MLB illustrator is a project visualizing the MLB game data as a heterogeneous network, providing baseball statistics, and ranking the batting and pitching ability of players.
Based on this project, I conducted independent research, and raised GameRank---a ranking algorithm for networks with multiple interplaying indicators.
Beijing 3DS Website
Question answering system on Chinese Wikipedia
WordNet viewer featuring force-driven graph of words
2D Shooting Game programmed with Haaf’s Game Engine
Minijava compiler for Android
Worked on optimization; realized general optimizations based on dafaflow analysis.
Kademlia network distributed simulation
Team leader; implemented a UDP-based P2P network using Kademlia DHT.
AI for game “Blokus” generated by Genetic Algorithm
Designed game AI; used GA to refine arguments for AI; ranked top 20% in department.