Yuzhe Yang
@yuzheyang.bsky.social
Asst Prof @UCLA | RS @Google | PhD @MIT | BS @PKU
#ML, #AI, #health, #medicine
https://www.cs.ucla.edu/~yuzhe
#ML, #AI, #health, #medicine
https://www.cs.ucla.edu/~yuzhe
Pinned
📢 My lab at UCLA is hiring PhD students and postdocs!
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
📢 My lab at UCLA is hiring PhD students and postdocs!
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
November 25, 2025 at 7:28 AM
📢 My lab at UCLA is hiring PhD students and postdocs!
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
Please apply to UCLA CS or CompMed and mention my name if you are interested in foundation models and (Gen)AI for health / medicine / science.
More info: cs.ucla.edu/~yuzhe
🚨 Let your wearable data "speak" for themselves! ⌚️🗣️
Introducing *SensorLM*, a family of sensor-language foundation models, trained on ~60 million hours of data from >103K people, enabling robust wearable sensor data understanding with natural language. 🧵
Introducing *SensorLM*, a family of sensor-language foundation models, trained on ~60 million hours of data from >103K people, enabling robust wearable sensor data understanding with natural language. 🧵
June 17, 2025 at 3:40 PM
🚨 Let your wearable data "speak" for themselves! ⌚️🗣️
Introducing *SensorLM*, a family of sensor-language foundation models, trained on ~60 million hours of data from >103K people, enabling robust wearable sensor data understanding with natural language. 🧵
Introducing *SensorLM*, a family of sensor-language foundation models, trained on ~60 million hours of data from >103K people, enabling robust wearable sensor data understanding with natural language. 🧵
Reposted by Yuzhe Yang
🩻⚖️ AI underdiagnoses Black female patients
A new study found that expert-level vision-language models for chest X-rays systematically underdiagnose marginalised groups – especially Black women – more than radiologists.
🔗 doi.org/10.1126/sciadv.adq0305
#SciComm #AI #HealthEquity 🧪
A new study found that expert-level vision-language models for chest X-rays systematically underdiagnose marginalised groups – especially Black women – more than radiologists.
🔗 doi.org/10.1126/sciadv.adq0305
#SciComm #AI #HealthEquity 🧪
Demographic bias of expert-level vision-language foundation models in medical imaging
Compared to certified radiologists, expert-level AI models show notable and consistent demographic biases across pathologies.
doi.org
April 3, 2025 at 8:28 AM
🩻⚖️ AI underdiagnoses Black female patients
A new study found that expert-level vision-language models for chest X-rays systematically underdiagnose marginalised groups – especially Black women – more than radiologists.
🔗 doi.org/10.1126/sciadv.adq0305
#SciComm #AI #HealthEquity 🧪
A new study found that expert-level vision-language models for chest X-rays systematically underdiagnose marginalised groups – especially Black women – more than radiologists.
🔗 doi.org/10.1126/sciadv.adq0305
#SciComm #AI #HealthEquity 🧪
Do foundation models in medical imaging see everyone fairly?🤔
Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑⚕️
📄science.org/doi/10.1126/sciadv.adq0305
💻github.com/YyzHarry/vlm-fairness
(1/)
Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑⚕️
📄science.org/doi/10.1126/sciadv.adq0305
💻github.com/YyzHarry/vlm-fairness
(1/)
March 28, 2025 at 8:01 PM
Do foundation models in medical imaging see everyone fairly?🤔
Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑⚕️
📄science.org/doi/10.1126/sciadv.adq0305
💻github.com/YyzHarry/vlm-fairness
(1/)
Excited to share our new Science Advances paper uncovering & auditing demographic biases of expert-level VLMs, and comparing to board-certified radiologists🧑⚕️
📄science.org/doi/10.1126/sciadv.adq0305
💻github.com/YyzHarry/vlm-fairness
(1/)
Reposted by Yuzhe Yang
How multimodal A.I. of real time smartwatch data can automatically detect a person's loss of pulse—sudden cardiac death—and notify emergency services
www.nature.com/articles/s41...
@jakesunshine.bsky.social @nature.com
www.nature.com/articles/s41...
@jakesunshine.bsky.social @nature.com
Automated loss of pulse detection on a consumer smartwatch - Nature
Nature - Automated loss of pulse detection on a consumer smartwatch
www.nature.com
February 26, 2025 at 5:46 PM
How multimodal A.I. of real time smartwatch data can automatically detect a person's loss of pulse—sudden cardiac death—and notify emergency services
www.nature.com/articles/s41...
@jakesunshine.bsky.social @nature.com
www.nature.com/articles/s41...
@jakesunshine.bsky.social @nature.com
Reposted by Yuzhe Yang
Just published in Nature Biomedical Engineering! Working with the incredible PhD student Wei Qiu and our brilliant collaborator Kamila Naxerova at Harvard was a great pleasure. Our deep profiling framework enables us to view 18 human cancers through the lens of AI!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Deep profiling of gene expression across 18 human cancers - Nature Biomedical Engineering
Using unsupervised deep learning to generate low-dimensional latent spaces for gene-expression data can unveil biological insight across cancers.
www.nature.com
December 18, 2024 at 1:02 AM
Just published in Nature Biomedical Engineering! Working with the incredible PhD student Wei Qiu and our brilliant collaborator Kamila Naxerova at Harvard was a great pleasure. Our deep profiling framework enables us to view 18 human cancers through the lens of AI!
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Yuzhe Yang
A neurologist with 2 APOE4 copies tells us about his experience with #Alzheimers disease
washingtonpost.com/wellness/202...
washingtonpost.com/wellness/202...
December 17, 2024 at 3:32 PM
A neurologist with 2 APOE4 copies tells us about his experience with #Alzheimers disease
washingtonpost.com/wellness/202...
washingtonpost.com/wellness/202...
Reposted by Yuzhe Yang
Seven years ago, Scott Lundberg, presented our SHAP framework at the NeurIPS 2017 conference. Since then, SHAP has become one of the most widely used feature attribution methods, with our paper receiving approximately 30,000 citations. It's wonderful that SHAP's birthday aligns perfectly with mine!😊
December 6, 2024 at 3:20 AM
Seven years ago, Scott Lundberg, presented our SHAP framework at the NeurIPS 2017 conference. Since then, SHAP has become one of the most widely used feature attribution methods, with our paper receiving approximately 30,000 citations. It's wonderful that SHAP's birthday aligns perfectly with mine!😊
I will be at #NeurIPS and #ML4H all next week — let me know if you would like to catch up in person!
📢 I am also recruiting PhD students! Drop me an email if you're attending NeurIPS and would like to chat or learn more 😀
📢 I am also recruiting PhD students! Drop me an email if you're attending NeurIPS and would like to chat or learn more 😀
Hello world! I’m recruiting ~3 PhD students for Fall 2025 at UCLA 🚀
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe
December 4, 2024 at 6:56 PM
Reposted by Yuzhe Yang
Here is a #compbio starter kit! go.bsky.app/QVPoZXp To all the #Bioinformatics #Genomics #MachineLearning folks: please RP and let’s build this together!
November 23, 2024 at 4:17 AM
Here is a #compbio starter kit! go.bsky.app/QVPoZXp To all the #Bioinformatics #Genomics #MachineLearning folks: please RP and let’s build this together!
⌚️ Check out our latest work on scaling foundation models for large-scale multimodal wearable sensor data!
Scaling wearable foundation models
research.google
November 21, 2024 at 2:57 AM
⌚️ Check out our latest work on scaling foundation models for large-scale multimodal wearable sensor data!
Hello world! I’m recruiting ~3 PhD students for Fall 2025 at UCLA 🚀
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe
November 19, 2024 at 7:06 PM
Hello world! I’m recruiting ~3 PhD students for Fall 2025 at UCLA 🚀
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe
Please apply to UCLA CS or CompMed if you are interested in ML and (Gen)AI for healthcare / medicine / science.
See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe