Jun Lu work email
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Jun Lu personal email
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Personal Homepage: [www.junlulocky.com];Blog at [www.cheerml.com];Personal email: [jun.lu.locky@gmail.com]
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FounderCheerml Jan 2017 - PresentLausanneSee [www.cheerml.com].Blog collaboration is available upon request. -
Visiting ScholarDuke University Feb 2017 - Aug 2017Raleigh-Durham, North Carolina Area, UsaI worked on Bayesian statistics. -
Research InternSony Professional Solutions Europe Jul 2016 - Jan 2017Stuttgart Area, GermanyI worked on Neural Network Morphism research. -
Software EngineerHuawei Technologies Aug 2014 - Jul 2015Hangzhou, Zhejiang, ChinaI was working full time at Hangzhou Huawei Technology Co., Ltd, a leading global ICT solutions provider. At Huawei, I worked on the TE Desktop & Mobile Software Terminal Windows PC platform. TE Desktop & Mobile Software Terminal is a device that can easily initiate video communication requests to PC, mobile phone, PAD and can seamlessly connect with Telepresence on video conferences. My primary responsibilities included managing the local and internet address book, making sure that video calls can be initiated from the address book and securing the safety of the conference with the support of TLS protocols.
Jun Lu Skills
Jun Lu Education Details
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Gpa: 5.65/6, Major Gpa: 5.67/6 - (P.S. 5.50 Equals To A In Other Grade Systems) -
Gpa: 3.91/4; Major Gpa: 3.97/4
Frequently Asked Questions about Jun Lu
What company does Jun Lu work for?
Jun Lu works for Cheerml
What is Jun Lu's role at the current company?
Jun Lu's current role is MS of Computer Science at EPFL.
What is Jun Lu's email address?
Jun Lu's email address is ju****@****epfl.ch
What schools did Jun Lu attend?
Jun Lu attended Ecole Polytechnique Fédérale De Lausanne, Zhejiang University.
What are some of Jun Lu's interests?
Jun Lu has interest in Interested Research Areas, Interests, Machine Learning, Convex Optimization, Rumba(Beginner), Deep Learning, Computer Vision, Jive Dance.
What skills is Jun Lu known for?
Jun Lu has skills like Machine Learning, C++, Python, Deep Learning, C, Java, Linux, Latex, Matlab, Tcp/ip, Mysql, Wireshark.
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