Yao Qin
@YaoQin_UCSB
Followers
4K
Following
960
Statuses
108
Assistant Professor @UCSB; Research Scientist @Google DeepMind; PhD @UCSD
Santa Barbara, CA
Joined November 2015
I'll be at @NeurIPSConf next week and would love to catch up in person! 🎉My lab at UCSB is hiring PhD students working on AI Safety and AI for Healthcare. If you're passionate about these areas, welcome to apply to UCSB and happy to chat if you're attending NeurIPS!
3
20
124
🚨Only 1 day to go! 🚨 Join us at AIM-FM: Advancements In Medical Foundation Models workshop at NeurIPS 2024! 📅 When: December 14th, 2024, 8:20 a.m. PST 📍 Where: East Ballroom A, B We will be exploring the transformative potential of Medical Foundation Models (MFMs) in smart medical assistance, emphasizing explainability, robustness, and security to advance trust and reliability in healthcare AI. ✨Check out our incredible lineup of speakers and panelists below! 🔗 Learn more and check the schedule at 👋 We can't wait to see you there!
0
2
14
RT @ninamiolane: Can't believe it's a year already! Incredibly proud of what this team has accomplished 🧠🌟 @emilyjacobs @caitaylo @russpo…
0
11
0
RT @colinraffel: As ever, I am hiring PhD students this year! My lab at UofT works on decentralizing, democratizing, and derisking large-sc…
0
40
0
RT @goodfellow_ian: Posting a call for help: does anyone know of a good way to simultaneously treat both POTS and Ménière’s disease? Please…
0
347
0
Great work and congratulations 👏 @WilliamWangNLP
🚀Introducing ChipAgents: the World's First AI Agent for Chip Design and Verification. Get ready to supercharge your workflow and accelerate your time-to-market! 💻⚡
0
0
6
Welcome to submit to our AIM-FM Workshop at NeurIPS 2024 to advance the medical foundation models 😀
⏰ Last 2 days for submission at the AIM-FM Workshop at NeurIPS 2024: “Advancements in Medical Foundation Models: Explainability, Robustness, Security, and Beyond”! 📢 We’re accepting submissions on a wide range of topics related to medical foundation models—covering explainability, robustness, fairness, privacy, generative modeling, multimodality, and more in healthcare. 🌐 For more details on the workshop, visit the website at: 🔗 Submission link: 📅 Submission deadline: Aug 30, 2024, 23:59 UTC-0 #NeurIPS2024 #AIMFM #MedicalAI #FoundationModels
0
3
14
Join us for this exciting postdoc opportunity and work on AI for science✌️😊
We are recruiting postdocs for 2024/25 @ai_ucsb ! You want to build next-gen artificial scientific intelligence?🤖 Apply to the UCSB Real AI Initiative! Deadline: Sept 15 Competitive salary Prime location for your future office 🌊 @YaoQin_UCSB @HaewonJeong00 @UofCalifornia
0
8
69
RT @goodfellow_ian: If you’re unfamiliar with long COVID, this thread from @SalvMattera about his experiences makes it clear why it’s so im…
0
78
0
🥰 Super excited to share this new work on benchmarking LLMs for carbohydrate estimation, which is a huge daily burden that every patient with diabetes needs to deal with multiple times every day. 👏👍Proud of my students for starting to investigate the potential of LLMs in this area and embarking on our research journey in AI for diabetes! Please join us if you are interested in unlocking the power of AI for diabetes, and let's work together to improve the quality of life for patients with diabetes 💪💪💪
😲 LLMs are faster and more accurate than a nutritionist at carbohydrate estimation?! 🎉Excited to share NutriBench - the first publicly available nutrition benchmark for evaluating LLMs in carbohydrate estimation from meal description! For people with diabetes, carb estimation is a task performed multiple times daily as a critical part of managing blood glucose levels. Check out our work here! 📜 🌐 Work in collaboration with @andong_1997 , @YaoQin_UCSB, and Ryan @lovefuturenow (🧵 1/4)
2
9
39
Excited to share this new work on degradation in the chain of diffusion done by our amazing students, co-advised with @HaewonJeong00 😊!
🏞️Ever wondered what happens if we iteratively finetune a diffusion model on its own outputs? SEVERE DEGRADATION! 🚨 Our latest research uncovers this phenomenon and introduces ReDiFine, a novel approach to ensure sustainability. 📜Preprint: 🧵1/5
0
4
13
RT @sijialiu17: The 3rd AdvML-Frontiers Workshop (@AdvMLFrontiers is set for #NeurIPS 2024 (@NeurIPSConf)! This ye…
0
8
0
Litian did this amazing work in designing this efficient and effective OOD detector based on decision boundary 👏👍. Come to talk to us at ICML in Vienna very soon 😉
Excited to share our #ICML2024 paper! Detect Out-of-Distribution (OOD) samples efficiently and effectively with our detector: OOD samples are closer to decision boundaries, In-Distribution (ID) samples are further away!
0
4
15
RT @ucsantabarbara: Haewon Jeong of @ucsbece is addressing bias in machine learning. Supported by a $558,000 @NSF CAREER Award, her innovat…
0
6
0
Come to talk to my student @andong_1997 and me at CVPR poster #59! Paper link: Code is available at:
0
2
9
RT @KeremCamsari: Can Ising Machines be useful for generative AI, beyond their typical use to solve combinatorial optimization problems?…
0
10
0
RT @RICEric22: How do you train a "Neuro-GPT" pipeline that uses a neural network and API calls to GPT-4 to predict? Use differentiable p…
0
3
0
RT @ninamiolane: 🧠The brain (eg, its hippocampus) is known to encode our position & trajectory in space. Yet, recent works show that our h…
0
47
0