2025: 

• [Oct] Gave a talk to Prof. Jia (Kevin) Liu's group at OSU on "Input Adaptivity in Generative Imaging Models In Data Scarce Regimes".

• [Sep] Attended DARPA's TIAMAT program PI meeting at the University of Maryland College Park.

• [Sep] Paper Accepted: UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights. NeurIPS 2025.

• [Sep] Paper Accepted: Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory. IEEE SPM (Special Issue on The Mathematics of Deep Learning) 2025. 

• [Sep] Paper Accepted: NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography. CAMSAP 2025. 

• [Aug] Honored to have received the Alumni Outstanding Research Award at the CMSE Department 10th anniversary workshop at Michigan State University. 

• [Jul] Paper Accepted: Robust MRI Reconstruction by Smoothed Unrolling (SMUG). JSTSP 2025. 

• [Jul] Attended ICML25 in Vancouver, Canada. 

• [Jun] Gave a talk to the XCP Division at Los Alamos National Lab (hosted by Dr. Juston Moore) on "Input Adaptivity in Generative Imaging Models Across Data Regimes".

• [May] Paper Released: UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights.

• [May] Paper Released: A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut.

• [May] Paper Accepted: SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems.  ICML 2025.

• [May] Paper Accepted: Differentiable Quadratic Optimization for the Maximum Independent Set Problem.  ICML 2025.

• [Apr] Gave a talk to the OPTML group at MSU (hosted by Prof. Sijia Liu) on "Differentiable Quadratic Combinatorial Optimization".

• [Apr] Gave a talk to the NuSCI group at SRI International (hosted by Dr. Susmit Jha) on "Differentiable Quadratic Combinatorial Optimization".

• [Mar] Attended CPAL2025 at Stanford University. 

• [Mar] Attended DARPA's TIAMAT program PI meeting at UC Berkley.

• [Feb] Paper Released: Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory.

• [Jan] Honored to have been selected for the CPAL25 Rising Stars Award. 

• [Jan] Joined DARPA I2O as a Tech SETA, working with Alvaro Velasquez.  

2024: 

• [Dec] Paper Accepted: Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction.  ICASSP 2025.

• [Dec] Attended NeurIPS24 in Vancouver, Canada. 

• [Oct] Attended SIAM MDS in Atlanta, Georgia. 

• [Oct] Paper Accepted: Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. TMLR 2024.

• [Oct] Paper Released: Unrolled Diffusion Guided Deep Image Prior For Medical Image Reconstruction.

• [Oct] Paper Released: SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems.

• [Oct] Paper Released: Dataless Quadratic Neural Networks for the Maximum Independent Set Problem.

• [Sep] Paper Accepted: Image Reconstruction Via Autoencoding Sequential Deep Image Prior. NeurIPS 2024.

• [Aug] Attended a Computational Imaging workshop at IMSI in the University of Chicago. 

• [Jun] Paper Accepted: Controller synthesis for linear temporal logic and steady-state specifications. JAAMAS 2024.

• [May] Attended ICASSP24 in Seoul, South Korea

• [May] Gave a talk to Prof. Jong Chul Ye's group at KAIST on "Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification".

• [Mar] Paper Released: Decoupled Data Consistency with Diffusion Purification for Image Restoration.

• [Feb] Paper Accepted: Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture .  CVPR 2024.

• [Jan] Gave a tutorial on "Deep Learning for Inverse Imaging Problems" at CPAL in Hong Kong. 

• [Jan] Paper Accepted: Diffusion-Based Adversarial Purification for Robust Deep MRI Reconstruction.  ICASSP 2024.

• [Jan] Paper Accepted: Exploring The Predictive Capabilities of AlphaFold Using Adversarial Protein Sequences. IEEE TAI 2024.