Jiaming Cui

18 posts

Jiaming Cui

Jiaming Cui

@jiamingcui1997

Assistant Professor at Virginia Tech

Beigetreten Eylül 2021
135 Folgt120 Follower
Jiaming Cui
Jiaming Cui@jiamingcui1997·
Our initial work on bridging LLM-based multi-agent systems with well-established mechanistic modeling frameworks. Proposing directions in combining the flexibility of ML for individual-level data with the explainability and reliability of mechanistic models.
Kavana Venkatesh@kavanav2912

🚀 Introducing PhysicsAgentABM! We propose a novel Physics-Guided Generative Agent Based Modeling framework for scalable and calibrated simulation of complex social systems! ⚡ 6.7x fewer API calls, 2.1-3.4x cost reduction 🎯 Superior temporal accuracy across all domains (EETE, ET-F1) 📊 Calibrated uncertainty (near-diagonal reliability curves) 🔄 Robust to regime shifts (policy shocks, market crashes, viral events) Huge kudos to my collaborator @inhan_y , Prof. @LiJundong and my advisor @jiamingcui1997!

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Jiaming Cui
Jiaming Cui@jiamingcui1997·
We’ll be giving a tutorial on “AI-Driven Multimodal Frameworks for Healthcare Decision-Making” at ICDM 2025! @jiamingcui1997,@xwang174,@zhezeng0908,@du_hongru Time & Location: Thursday, Nov 13, 10:30 AM – 12:30 PM, Ohio Room Looking forward to connecting with many of you there!
Jiaming Cui tweet media
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B. Aditya Prakash
B. Aditya Prakash@badityap·
Catch Haoxin @icmlconf 2024 in Vienna, presenting our work on out of distribution generalization (OOD) in time-series forecasting. Get OOD robustness for *any* forecasting method via invariant learning using FOIL, our new model agnostic framework! github.com/AdityaLab/FOIL @GTCSE
Haoxin Liu@HessianLiu

I am at #ICML24 all week. Catch me at my poster session: What: Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning When: Wed 24 Jul 11:30 a.m. — 1 p.m. CEST Where: Hall C 4-9 #2200 Paper: proceedings.mlr.press/v235/liu24ae.h… Code: github.com/AdityaLab/FOIL

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Jiaming Cui
Jiaming Cui@jiamingcui1997·
(1/3) Thank you @badityap, and all my committee members (Anil Vullikanti, @srijankedia, @XiuweiZhang, @PKeskinocak). Really happy to pass the defense and become Dr. Cui. @GTCSE @gtcomputing @mlatgt
B. Aditya Prakash@badityap

(1/3): Congrats to Dr. @jiamingcui1997 who just defended his thesis on cutting edge ML and Epi Models for surveillance&control in clinical settings!! Pleasure advising and learning with+from you. Next: Asst. Prof. @VT_CS after a short stay @UVA_BI 🥳🎉 @GTCSE @gtcomputing @mlatgt

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Jiaming Cui
Jiaming Cui@jiamingcui1997·
1/3 I am excited to share that I will join @virginia_tech CS @VT_CS as a tenure-track assistant professor starting from Spring 2025. I will continue my research in machine learning and modeling, aiming to bridge public health and clinical decisions! @GTCSE @mlatgt @gtcomputing
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Jiaming Cui
Jiaming Cui@jiamingcui1997·
Thank you, everyone!
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Jiaming Cui
Jiaming Cui@jiamingcui1997·
Thanks for the award, I am really excited to receive it. I also want to thank my advisor @badityap and collaborators @ Vivek Anand @JackHeavey @AnilVullikanti @GTCSE @gtcomputing @UVA_BI. Paper: sites.cc.gatech.edu/~jcui75/papers… Code: github.com/AdityaLab/H2ABM.
SIAM Data Mining@SIAMDataMining

#SIAMSDM24 Best Poster Award: H^2ABM: Heterogeneous Agent-based model on Hypergraphs to Capture Group Interactions. Congratulations to the authors!

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Jiaming Cui
Jiaming Cui@jiamingcui1997·
We introduce the idea of hypergraphs into complex agent based models for epidemics and use it for real-world healthcare-associated infection MRSA outbreaks in hospitals - better explanations of past spread and better forecasting as well! Welcome to attend & discuss with us! 2/3
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Entdecken

@xwang174 @zhezeng0908 @du_hongru @icmlconf @GTCSE @XiuweiZhang @badityap @srijankedia