1. Seth
2. Will
3. Jon
4. Jiazhen
5. Ryan
1. Seth
2. Will
3. Jon
4. Jiazhen
5. Ryan
@jessicasmetana.bsky.social
@briancgrubb.bsky.social
@candacepedraza.bsky.social
@celebrityhottub.bsky.social
@iamhectordiaz.com
@davidjroth.bsky.social
plus Joe Ali and Jiazhen Zhang!
We finished recording this week and I am extremely excited to share it all <3
@jessicasmetana.bsky.social
@briancgrubb.bsky.social
@candacepedraza.bsky.social
@celebrityhottub.bsky.social
@iamhectordiaz.com
@davidjroth.bsky.social
plus Joe Ali and Jiazhen Zhang!
We finished recording this week and I am extremely excited to share it all <3
No?
Well, it was a big deal. You might even say it was a Big Deal, like the name of our video series.
Here's Joe Ali and Jiazhen Zhang on a monumental move: www.youtube.com/watch?v=JqYH...
No?
Well, it was a big deal. You might even say it was a Big Deal, like the name of our video series.
Here's Joe Ali and Jiazhen Zhang on a monumental move: www.youtube.com/watch?v=JqYH...
Which photo was your favorite?
Which photo was your favorite?
Graduating SIAT student Tiffany Jiazhen Woo shares her experience in SIAT, what it's like to complete a directed study with one our professors, and a few words of wisdom for students starting at SIAT!
Read more: https://ow.ly/yowz50Z6W8n
Graduating SIAT student Tiffany Jiazhen Woo shares her experience in SIAT, what it's like to complete a directed study with one our professors, and a few words of wisdom for students starting at SIAT!
Read more: https://ow.ly/yowz50Z6W8n
His work and dedication have resulted in great contributions to cardiac MRI reconstruction for faster and higher-quality imaging.
Good luck on your future endeavors, JZ!
His work and dedication have resulted in great contributions to cardiac MRI reconstruction for faster and higher-quality imaging.
Good luck on your future endeavors, JZ!
Jiazhen Hong et al.
#arXiv #cs.AI #eess.SP
🚩 Meet Dynamic, Automatic & Systematic (DAS) Red-Teaming from Jiazhen Pan and Bailiang Jian together with great collaborators! #AIMresearch
🧵 1/4
🚩 Meet Dynamic, Automatic & Systematic (DAS) Red-Teaming from Jiazhen Pan and Bailiang Jian together with great collaborators! #AIMresearch
🧵 1/4
#ArtHistory #ContemporaryArt
#ArtHistory #ContemporaryArt
Artist: Zhang Jiazhen
The Wu kingdom's well-trained admirals were integral to the Southlands' victory at Red Cliffs as well as the kingdom's defense.
#magicthegathering #mtg
Artist: Zhang Jiazhen
The Wu kingdom's well-trained admirals were integral to the Southlands' victory at Red Cliffs as well as the kingdom's defense.
#magicthegathering #mtg
Artist: Zhang Jiazhen
By the battle of Red Cliffs in the year 208, the Wu kingdom controlled more than seven thousand warships on the Yangtze.
#magicthegathering #mtg
Artist: Zhang Jiazhen
By the battle of Red Cliffs in the year 208, the Wu kingdom controlled more than seven thousand warships on the Yangtze.
#magicthegathering #mtg
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅
#sugar
👇👇👇
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅
#sugar
👇👇👇
Jiazhen Jiang et al.
#arXiv #cs.AI #cs.CL #cs.LG
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
https://arxiv.org/abs/2502.19634
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
https://arxiv.org/abs/2502.19634
rupress.org/jem/article/...
#Lymphoma
rupress.org/jem/article/...
#Lymphoma
- MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning - Jiazhen Pan, Che Liu et al.
3/4
- MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning - Jiazhen Pan, Che Liu et al.
3/4
This one's neat! It stands out a lot because it stylistically is a bit different from other sets, so I'm glad it's here. They should reprint, like, all of these.
This one's neat! It stands out a lot because it stylistically is a bit different from other sets, so I'm glad it's here. They should reprint, like, all of these.