I have years of experience in search ranking and ads system, leveraging on skills including machine learning, reinforcement learning, learning to rank, computational advertising, and algorithmic mechanism design. Additionally, I have contributed to and still keep interested in open source projects and public service.
As a proactive person, I'm often motivated to improve myself by expanding the knowledge base and putting it into practice. Moreover, I'm keen on studying different languages and eager to experience the cultures around the world.
Engaged on search reranking, personalised ranking, box office prediction, user profile mining and computational advertising.
Built a backend system of data products in this startup(previously named Chengdu ECube Technology http://www.wolongdata.com), which concentrates on mining user profile from heterogeneous data. Conducted data analysis and data mining leveraging a Apache Spark cluster.
Served as a teaching assistant for the course Algorithm Analysis and Design in the School of Computer Science and Engineering.
When in the Network and System Lab, I researched in vehicular network, sound data communication, online social network. Published few co-authored papers in this lab on vehicular network. Optimized an algorithm of friends recommendation in OSN. Managed a data centre of this lab and implemented our new technologies of sound data communication and friends recommendations into a SNS app Chance.
Mainly focused on Java web programming of outsourcing projects from companies based in Chengdu, Guangdong or Kuala Lumpur.
Here are some projects I was or am invovled in.