Han Zhao
@hanzhao_ml
Assistant Professor @siebelschool; Amazon scholar; Ph.D. @mldcmu; work on trustworthy machine learning and AI.
The Okinawa Institute of Science and Technology (OIST) offers fully funded PhD positions - specifically open to students from the US.
Our team at Amazon is hiring for a one-year postdoc: amazon.jobs/en/jobs/264533…. Feel free to reach out to know more details if you happen to be attending #ICLR2025 !
Good old days indeed -- the one I got back then (2016?) was a Pascal Titan X. At that time I didn't even work on deep learning (I recall my proposal was about probabilistic circuits) but nevertheless Nvidia donated it to me. It enabled my later projects on DL throughout my PhD.
Let me tell a real story of my own with @nvidia. Back in 2014, I was a wide-eyed first-year PhD student at CMU in @ericxing's lab, trying to train AlexNet on CPU (don’t ask why). I had zero access to GPUs. NVIDIA wasn’t yet "THE NVIDIA" we know today—no DGXs, no trillion-dollar…
Excited to share the work on embedding hierarchical structures using fast optimal transport, led by my brilliant student @cindy2000_sh, to be presented at ICLR' 25! Come and stop by to say hi if you are attending ICLR'25 next week!
[1/N] 🚨 #ICLR2025 We’ll present “Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport”, a new approach for hierarchy-aware representation learning using Optimal Transport with amazing collaborators: Sixian Du, @myamada0, and @hanzhao_ml
#ILLINOIS CS professor Tianjin Xu is seeking to improve the reliability of modern cloud operations to empower the next generation of cloud-computing! Xu shared his visions in the Q&A below ☁️💻 ▶️bit.ly/3XPaOF2
I will visit UIUC next week! Thank you @hanzhao_ml for hosting. So exciting to visit :) calendars.illinois.edu/detail/598?eve…
I wasn't at the keynote speak today but cannot believe this happened at a plenary talk at #NeurIPS. The calling out of the country of origin is completely unnecessary if the intention is to give an example. I hope @NeurIPSConf can take this incident seriously.
NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address…