🎓 Congratulations to my four graduating MS students — Haoyue Guan, Yuan Gao, Xuzhe Zha, and Yetao He! Proud to see them head off to outstanding PhD programs: Haoyue to Emory, Yuan to UNC, Xuzhe to JHU, and Yetao to UCLA. Wishing them all the best in their journeys ahead! 🌟

Happy to announce that I received the NSF CAREER Award 🤓 engineering.jhu.edu/ece/news…

Paid summer intern opportunities for undergraduate at JHU DSAI! ai.jhu.edu/summer-2026-inter…

If you work on computational imaging / synthetic apertures: submit to CISA at Albany, 26-29 May 2026! ✅ 2-page abstract • ⏰ Feb 27 deadline (may extend) Keynotes: cisa-conference.org/keynotes… Details: cisa-conference.org/ RT appreciated 🙏

PSI3D is in at IEEE Asilomar 2025: Plug-and-Play 3D Stochastic Inference with a Slice-wise Latent Diffusion Prior. Scalable 3D reconstruction by pairing your forward model with a 2D diffusion prior—it turns out to suffice! Paper: arxiv.org/abs/2512.18367

Got accepted to @ieeeICASSP 2026! Spain or Rio or Both? 😆🤔

Got accepted to ICLR 2026! Congrats everyone 🏅🪇

Some photos from the @UWMadisonECE investiture ceremony, where I received Leon and Elizabeth Janssen Associate Professorship.

New paper: “Provably Accelerated Imaging with Restarted Inertia & Score‑based Image Priors” — we prove FASTER convergence under general score priors! arxiv.org/abs/2510.07470. Big thanks to my postdoc Deliang and collaborators Marien & Julien! #ComputationalImaging

Excited to announce PRISM — a probabilistic, robust inverse solver using measurement‑conditioned diffusion priors for blind inverse problems. Link: arxiv.org/abs/2509.16106. Big thanks to my students & collaborators for the great work! #ComputationalImaging #GenerativeAI

Since she's way too shy to post this herself, please join me in congratulating my amazing colleague and friend @klbouman for receiving tenure at @caltech! 🥳🎉

Excited to have this paper accepted to NeurIPS. Thanks to my great collaborators Jeffery Alido, Tongyu, and @LeiTian14

As part of today’s ESE Day celebration, we honor the legacy of Donald L. Snyder and install Ulugbek Kamilov as the inaugural Snyder Career Development Professor. Learn more. @WashUESE ow.ly/5Qyb50VHQ6r

I am honored to receive the Rising Star award from CPAL! Look forward to seeing everyone at Stanford 🤩

We present InverseBench, a framework for benchmarking plug-and-play diffusion approaches for inverse problems in physical sciences. (#ICLR2025 Spotlight) PnP diffusion approaches are attractive for scientific inverse problems because they offer flexibility in incorporating domain-specific models. We provide comprehensive benchmarking and implementations for five domains (incl. pre-trained diffusion priors), and many diffusion posterior sampling algorithms. Applications: inverse scattering (microscopy), compressed MRI, black hole imaging (astronomy), full waveform inversion (seismology), and Navier-Stokes super-resolution (fluids). The goal is to infer the underlying image given only sparse and noisy measurements.

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly. NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.

Excited to share the DSAI Postdoc Fellowship Program at @JohnsHopkins! If you're passionate about advancing AI for computational imaging, this is the place to be! 💡 Apply now and mention my name if you're interested in collaborating with me! 👉 link: apply.interfolio.com/158121

Interested in what goes into a faculty application or interview process? AMA!

Excited to share Flash-Splat, our ECCV 2024 paper on 3D reflection removal! Precise separation of transmitted & reflected 3D scenes by simply capturing one video with your camera flash on and one video with flash off! Project Page: flash-splat.github.io youtu.be/vKj81DCMUGw

I am looking to hire several Ph.D. students starting Fall 2025 @JHUECE. Anyone who is passionate for computational imaging/machine learning/statistical inference is welcome to apply. MS/Postdoc positions are also available! Here is the link: forms.gle/dFyftuPTSCqSTaMK9 #PhDposition