
Tong Xia
@TongXia9
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I am now a Postdoc in computer science at Cambridge.
Joined January 2021
RT @Cambridge_Uni: 🎓 Congratulations to all of our students who graduated on Friday and Saturday 🎉. #CambridgeAlumni #JustGraduated #Cambri….
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I was awarded the degree of PhD, with my last piece of PhD research accepted by KDD'24 on the same day! I am so lucky to be supervised by @cecim and to be a part of the Mobile Systems Group. The encouraging and loving atmosphere has provided me with numerous benefits. Thanks🌹
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The Mobile and Wearable Health Seminar Series for this term commences next week with an incredible lineup! Join us either in person in the @Cambridge_CL FW26 room or online. Some presentations will also be recorded. Check out the details here:
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Mobile and Wearable Health Seminar Series restarts! Attention: this term it will be located in FW11 (not FW26😀) if you attend in person.
Our Mobile and Wearable Health Seminar Series restarts next week with an amazing line up! .Seminars are both in person in the @Cambridge_CL FW11 room or online!
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RT @ubicomp: ⚖️1st workshop on Fairness and Robustness in Machine Learning for UbiComp on Oct 9. #UbiComp2023 #ISWC2023. Top -quality res….
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RT @Cambridge_CL: "Their low cost hardware & energy consumption could make body function monitors available affordably to the world's popul….
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RT @cecim: The @MobiUK2023 programme is out. We have amazing invited speakers and student talks. Registration is op….
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I will present the poster in the MLSP-P12 session, 3:35-5:05PM local time located at the dome, come to chat with me! @ieeeICASSP @ICASSP2023
Our paper "Cross-device federated learning for mobile health diagnostics: a first study on COVID-19 detection" will be presented this week at #ICASSP2023 by @TongXia9 (with @AbhirupGhosh16 and Jing Han).
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RT @spdimitris: Are you working on ML fairness/robustness and high-stakes applications in personal devices/sensing?. ✨ Excited to introduce….
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