News-2024

Invited to give a talk at International Seminar on Monte Carlo Methods (Nov. 2024)
Invited to give a guest lecture at AI in BME class (BME 487) at University of Michigan (Nov. 2024)
Our paper “TempA-VLP: Temporal-Aware Vision-Language Pretraining for Longitudinal Exploration in Chest X-ray Image” has been accepted by WACV’25. (Oct. 2024)
Invited to serve as the Associate Editor for the journal Medical Physics. (Oct. 2024)
Two papers “DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction” and “Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems” have been accepted by NeurIPS’24. (Sep. 2024)
We organize a research symposium together with U-M MIDAS and ECE: “Generative AI: From Theory to Scientific Applications”. (Sep. 2024)
Our paper “Accelerated Wirtinger Flow with Score-based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions” has been accepted by IEEE Transactions on Computational Imaging. (Sep. 2024)
Invited to serve as the Area Chair for the conference ICLR’25. (Aug. 2024)
Taught a U-M ECE Summer Tech Camp for high school students: “AI Magic Program“. (Aug. 12-16th, 2024)
Our paper “Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems” was presented at Computational Imaging Workshop hosted by The Institute for Mathematical and Statistical Innovation (IMSI). (Aug. 2024)
Invited to give a talk about Fundamentals and Applications of Implicit Neural Representation Learning at 2024 American Association of Physicists in Medicine (AAPM) Annual Meeting. (Jul. 2024)
Invited to serve on the organization committee of the 2nd Conference on Parsimony and Learning (CPAL) as a Rising Stars Award Chair. (Jul. 2024)
Our paper “CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems “ has been accepted by ECCV’24. (Jul. 2024)
Our paper “Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection” has been accepted by MICCAI’24. (Jun. 2024)
Our papers “DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction” and “SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models” have been accepted to present at ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling. (Jun. 2024)
Our paper “The Emergence of Reproducibility and Consistency in Diffusion Models” has been accepted by ICML’24. (May. 2024)
Received U-M e-HAIL Data Set Creation Award for the application of “Building Curated Libraries of Transcribed Cis-Regulatory Elements in Single Cells For Training Generative Diffusion Models of Cell-State-Specific Enhancers” together with Prof. Joshua Welch. (May. 2024)
Our paper “Missing Wedge Completion via Unsupervised Learning with Coordinate Networks “ has been accepted by International Journal of Molecular Sciences. (Apr. 2024)
ECE PhD student, Jason Hu, is recognized as Honorable Mention for NSF Graduate Research Fellowship Program (GRFP) 2024. (Apr. 2024)
Invited to serve on the organization committee of ISBI 2025 Meeting (Student and Young Professional Activity Chair). (Apr. 2024)
Invited to give a talk about Biomedical AI in the Seminar of University of Michigan’s Department of Computational Medicine & Bioinformatics. (Apr. 2024)
Invited to give a talk about Medical AI in the research meeting of Harvard Medical School. (Apr. 2024)
Incoming ECE PhD student, Lixuan Chen, is awarded a 2024-2025 MICDE Fellowship by University of Michigan. (Mar. 2024)
Invited to give a talk about AI for Medical and Scientific Applications at MICDE AI and Computational Science for Astronomy/Astrophysics workshop, and Environmental Statistics Symposium on Artificial Intelligence and Environmental Health Sciences. (Mar. 2024)
Invited to give a talk about AI for Medical Imaging at University of Michigan’s Department of Radiology. (Feb. 2024)
Invited to serve as the Area Chair for the conference of Machine Learning for Healthcare MLHC’24. (Feb. 2024)
Invited to give a guest lecture about Medical AI in the course of CSCI 699 at University of Southern California, and CSE 290D at University of California, Santa Cruz. (Jan 2024)
Our paper “Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency” has been accepted by ICLR’24 as a Spotlight (top 5%). (Jan. 2024)