Chris Xiaoxuan Lu
@chris_x_lu
Associate Professor in Robotics and AI @UCL
ID: 1111616670118879233
https://christopherlu.github.io/ 29-03-2019 13:10:41
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258 Followers
310 Following
We're hiring faculty in systems areas (deadline 21 Feb)! Edinburgh is also amazing to live, including great food, water, society and affordable housing for academics near the university in the city center! elxw.fa.em3.oraclecloud.com/hcmUI/Candidat… CS Faculty Jobs
CS Faculty Jobs Computer Science Security, Privacy and Trust position at The University of Edinburgh at level of Lecturer/Reader/Assistant/Associate elxw.fa.em3.oraclecloud.com/hcmUI/Candidat…
Science...uh... finds a way. (From the 5th IEEE UK and Ireland #Robotics and #Automation Society #RAS Conference, happening now at @InfAtEd The University of Edinburgh) UK-RAS Network UK Robotics Week Edinburgh Robotics @NRobotarium
Glad to see Fangqiang Ding presenting our recent work on self-supervised scene flow estimation with automotive radars. This work was also recently accepted by RA-L/IROS. Well done Fangqiang Ding!
Thanks for the constant support from SFRS Scottish Fire and Rescue Service and the Informatics School @InfAtEd, The University of Edinburgh in our research on "Embedded AI for SuperHero Firefighters". Proud of my team and we now look for industry collaboration! 🔥⛑️🦸
A pleasure to host Alexandros Alexandros Kouris from Samsung AI to talk about recent advances in efficient semantic segmentation for mobile robots and embedded systems. Thank Alexandros Kouris for the awesome guest lecture and all students enjoyed it. 📱🤖
Get in touch if you are interested in working with me on reliable and efficient probabilistic #modeling and #reasoning of complex #graphs such as #molecules, #proteins and interaction #networks! The University of Edinburgh @InfAtEd and UKRI Centre for Doctoral Training in Biomedical AI offer lots of opportunities for #graphML
I will advertise 2 Postdoctoral Fellow positions in my lab at UCL Computer Science in the coming weeks. I am looking for candidates with an interest in reinforcement learning, multi-agent systems and/or causal inference. Feel free to contact me for an informal discussion in the meanwhile.
Excited to share our new 4d automotive radar work accepted to #CVPR2023. It proposes a cross-modal scene flow learning framework for 4D radars by exploiting various 'hidden yet free' supervision signals available in #selfdrivingcars. Thank Fangqiang Ding and other collaborators.
18 days remaining until the @MobiUK2023 deadline! Submit your work: mobiuk.org/2023/ (non-archival), and join us Lancaster University. Nigel Davies is always an amazing host. Keep July 3rd and 4th in your calendar free!
📢 Hello, future superstars - Tanaya Guha and I have several fully-funded PhD positions to work on Digital Sensing and Interventions in demanding work settings. If you love diving into data and tinkering with devices to create human-centred sensing systems, reach out! 🤙🧑🔬🚀