Currently a PhD student in CS + Medicine @Stanford Ex: @NUSMedicine @tokyotech_en @Mila_Quebec @fsoft_aicenter
Joined March 2023
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Bailey Trang retweeted
Applying to Stanford's CS PhD program this year? We are organizing the 2026 Student-Applicant Support Program (SASP) and would love to help with your application materials.
SASP is a volunteer initiative run by Stanford CS graduate students. We provide feedback on statements of purpose and resumes for applicants from diverse backgrounds, broadly defined, before they submit their applications.
We know how much work goes into PhD applications, and we hope an extra set of eyes on your materials can make the process a little easier.
Please submit your materials by October 25 (Pacific Time). We plan to return feedback by November 20.
More details and how to participate:
cs.stanford.edu/sites/g/file…
Please share this with anyone who might find it helpful! Questions are welcome at [email protected].
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Bailey Trang (@baileytrangn), Bo Ai (@BoAi0110), Hermann Kumbong (@KumbongHermann), Kwon Ko (@hyungkwonko), Michael Paper, Swapnil Gandhi (@sw2pnil), and Yu He (@yuhe441)
📣 I am thrilled to announce that our paper has been accepted to 𝗡𝗲𝘂𝗿𝗜𝗣𝗦 𝟮𝟬𝟮𝟱!
This would not have been possible without the support and guidance of my advisors, @eadeli, Fei-Fei Li, Tal Arbel, and the dedication of amazing collaborators.
San Diego, here we come! 🏖️
Bailey Trang retweeted
Applying to Stanford's CS PhD program? Current graduate students are running a SoP + CV feedback program for diversity applicants (broadly defined). Apply to SASP by Oct. 25! Info: cs.stanford.edu/admissions-s…
Welcome to our second meeting on scaling pre-training in the AI Tea Talk Singapore series!
Open to all!
AI Tea Talk Singapore: teatalkaisingapore.github.io…
@NUSingapore @UCBerkeley @berkeley_ai
🎉AI Tea Talk Singapore! (Details: teatalkaisingapore.github.io)
🗓 Date: June 26, 10 AM (Beijing time)
📍 Speaker: Baifeng Shi @baifeng_shi from Berkeley
📚 Topic: Scaling Up Visual Pre-Training: What’s Next?
🔗 Zoom link: nus-sg.zoom.us/j/86707998713
Everyone is welcome!
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A mind-blowing work to me. I've learned so many cool things while leading it! 🐫
We are solving two timely challenges in Gene Regulatory Networks: causal inference ability and scalability.
Check it out at arxiv.org/abs/2310.03579
Curious about how to discover causal interactions among many genes in a cell with uncertainty estimation?
@TrangNguyen2399 @AlexanderTong7
Check our new work :arxiv.org/abs/2310.03579
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I am thrilled to announce that our cognitive-inspired VQA has been accepted into #EMNLP2023 as the long-main track 🐫
I'm delighted to announce that our work about improving dynamics modeling "Reusable Slotwise Mechanisms" has been accepted at #NeurIPS 2023 :tada:
Thank all of my mentors and collaborators from Mila and FPT AI Center.
See you in New Orleans!
