Liwei Wu...

Liwei Wu...

always curious about the world around me

Liwei's Homepage~

Or Liwei's home, Liwei's page, whatever you call it ;)

My homepage will also be hosted at http://www.tradingtransformer.com/

My name is Liwei Wu. I studied Statistics and Computer Science at University of California-Davis during 2014 - 2020. I got my machine learning PhD diploma in 2020 Spring. During my PhD study, my research focus was initially on designing and implementing novel machine learning and deep learning algorithms for recommender systems that can handle massive datasets. Recently I have been more interested in natural language processing research, especially its application within financial markets. Moreover, I am quite interested in the interaction of computer vision and NLP, which I think is quite promising. My research works have been published at top machine learning conferences KDD, ICML, NeurIPS, AISTATS and CVPR. I also review papers regualrly for ICML, NeurIPS to contribute back to the community. I was jointly advised by Professor Cho-Jui Hsieh and Professor James Sharpnack. I obtained MS in Statistics in 2016 and MS in Computer Science in 2018 along the way in doctoral program. Before moving to Davis, I received a BSc (First Class Honors) in Computing Mathematics from City University of Hong Kong in 2014. I did my undergraduate thesis on Extreme Value Thoery under supversion of Professor Xiang Zhou.

Currently, my girlfriend Shuqing and I are doing a starter-up project based on my machine learning research while waiting to start my machine learning engineer position at LinkedIn on June 1st 2020.



Recent News

I interned at a unicorn starter-up Dataminr at NYC for the remainer of 2019.

I traveled to NeurIPS in Vancouver, Canada during Dec 2019.

I traveled to KDD 2019 in Alaska and ICML 2019 in LA.

I traveled to NeurIPS in Montreal during Dec 2018.

I interned at LinkedIn knowledge graph team in 2019 summer at Sunnyvale.

I traveled to Stockholm, Sweden to present our ICML work during June 2018.

I interned at Facebook News Feed Core Machine Learning team in 2018 summer.

I travelled to Seattle, Washington during Oct 17-21, 2017 for Amazon's Annual Graduate Research Symposium.

I travelled to Halifax, Nova Scotia - Canada to give an oral presentation at KDD 2017 during Aug 13-17, 2017.

I interened at AT&T labs on cloud services (AT&T Integrated Clouds) team during 2017 summer, which was my first-time interning ever.

Promotional Video for my 1st paper ever on Collaborative Ranking


Today's Market




Contact

Office: Room 1113, Mathematical Sciences Building

Email: liwu@ucdavis.edu

Linkedin: Liwei Wu

Github: wuliwei9278

For potential future career and research collaboration opportunities, you can request a copy of my latest resume by filling out the following Google form: link

My Greatest Achievement

The one thing I am proudest of in my life is that I lost over 80 pounds of weight and finished a couple of full marathons, as one can easily tell the difference from the photos below. The first one was me back in 2013. The second and third ones is me at Big Sur during 2017 Spring Break.









Template design by Andreas Viklund