Bei Xiao

Vision Scientist and Associate Professor in CS at @AmericanU.

[Bei Xiao @XiaoMaterialLab]

2/2 Using an unsupervised alignment method (Gromov-Wasserstein Optimal Transport), we show the similarity structures between visual judgment and verbal description align on the coarse categorical level but lack precise one-on-one stimulus-level mapping.

[Bei Xiao @XiaoMaterialLab]

How is vision and language related in human material perception? New paper from my lab is now out at
@PLOSCompBiol. We find verbal descriptions capture material appearance at a coarse level, but precise alignment is still lacking. @liao_oial @mswym8
https://t.co/pvyFpgDQqY

[Bei Xiao @XiaoMaterialLab]

1/2. Comparing representations of vision and language we find colorfulness, material name, and softness are the key features across participants. We also found that removing the “material names” from the text embeddings significantly decreased the correlation.

[Bei Xiao @XiaoMaterialLab]

@jeroenerne @OpenlifesciAI @SaulehSiddiqui Could have several indications : 1) Clinical trial protocols have design issues that can be improved 2) The connections between drug classes across trials revealed by historical trial data could be explored before running the trial to allowing the exclusion of drugs.

[Open Life Science AI @OpenlifesciAI]

🚨 Medical AI Research alert! 🚨

Can LLMs predict clinical trial outcomes from protocol documents?

American University Presents, CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models by @SaulehSiddiqui @XiaoMaterialLab

A Large Language Model & Benchmark for Clinical Trials
Here's why it's exciting: 1/9 👇🧵

#ClinicalTrials #MedicalAI #NLP #AI #Bioinformatics #GenAI #MachineLearning #HealthTech #Medical #LLM #GPT #Healthcare #pubmed #arxiv #vision #nlp #research #pathology #Radiology

[Bei Xiao @XiaoMaterialLab]

@PaulunVivian @UWPsych Congrats and best of luck!

[Bei Xiao @XiaoMaterialLab]

Analyzing the image representation of materials obtained from various pre-trained deep neural networks, we find that similarity structures in human visual judgments align more closely with those of the vision-language models than purely vision-based models.

[Bei Xiao @XiaoMaterialLab]

Our first model, CTP-LLM, is a specialized version of GPT-3.5 Turbo, trained on our PhaseTransition (PT) Dataset. Our second model, BERT+RF, combines a clinical Bidirectional Encoder Representations from Transformers (BERT) with a Random Forest (RF).

[Bei Xiao @XiaoMaterialLab]

Very happy to share that our paper "CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models" is accepted by IEEE BIBM . https://t.co/Z57pCKBGqz
We predict #ClinicalTrials phase transition outcome from protocols using fine-tuned LLM.

[Bevil Conway @BevilConway]

I’m over the moon happy to celebrate the promotion to tenure of my colleague & office neighbor Hendrikje Nienborg @nienborglab. Her promotion shows that rigorous, careful science is rewarded, which is especially welcome news in today’s world of flashy but evanescent sound bites

[British Machine Vision Conference (BMVC) @BMVCconf]

🚨 Paper submission alert for BMVC 2024! 📅 Mark your calendars — the final deadline is this Friday, 10 May 2024. Don't miss your chance to showcase your latest research in computer vision.🔍✨
#BMVC2024 #ComputerVision #PaperDeadline

[Bei Xiao @XiaoMaterialLab]

Capital Graphics workshop on new research on #ComputerGraphics at @GeorgeMasonU Arlington Campus today.

https://t.co/2J2YUeeR1f

[umdnacs @umdnacs]

🧠At NACS Seminar tomorrow, Dr. Hendrikje Nienborg (@nienborglab) will tell us about "Perceptual decisions as action-perception loops in neural circuits." The talk is at 10:15am in BRB 1103. Please check the flyer below for more info!

[Bei Xiao @XiaoMaterialLab]

Finally succeeded around 10pm.

[Bei Xiao @XiaoMaterialLab]

Trying all day to upload a paper to biorxiv. The server doesn't work. Does anyone else also have this issue?

[Bei Xiao @XiaoMaterialLab]

Of course, the investigator has to be excellent. But it does need a ton of luck and support. How do we give this support in earlier days? From day one?

[Bei Xiao @XiaoMaterialLab]

Someone wrote us to encourage the nomination of a female scientist for YIA for @VSSMtg . To be impactful within 10 years of PHD. One needs 1) a supportive (optimal) family, 2) effective mentoring, and 3) supportive institutes. All posed extra challenges for female scientists.

[Bei Xiao @XiaoMaterialLab]

I am very happy to share that #americanuniversity are among the first to receive an NSF ART grant Congratulations @dianaburley, @JosephKYoung, @DrRubidium, @SusannaCampbell, @DrRubidium @ButternutSquash, and Jordan Tama. Excited to be part of this team.
https://t.co/vuEu00PjXr

[Research at American University @AUResearch]

Congratulations to team @dianaburley, @JosephKYoung, @DrRubidium, @SusannaCampbell, @XiaoMaterialLab, @ButternutSquash, and Jordan Tama for their receipt of this NSF ART grant! #americanuniversity #researchacceleration

[Bei Xiao @XiaoMaterialLab]

This work is so cool!
https://t.co/FpBpSqIcHx