3 citations · 3 across the 4 of their papers we have counts for
4 papers
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
Jian Xu, Zhiqi Lin, Shigui Li +4
Bayesian Last Layer (BLL) models focus solely on uncertainty in the output layer of neural networks, demonstrating comparable performance to more complex Bayesian models. However,…
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive Segmentation
Wenlve Zhou, Zhiheng Zhou, Tianlei Wang +1
Unsupervised Domain Adaptation (UDA) endeavors to adjust models trained on a source domain to perform well on a target domain without requiring additional annotations. In the conte…
SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference
Shigui Li, Wei Chen, Delu Zeng
Diffusion models (DMs) have made significant progress in the fields of image, audio, and video generation. One downside of DMs is their slow iterative process. Recent algorithms fo…
Tighter Bound Estimation for Efficient Biquadratic Optimization Over Unit Spheres
Shigui Li, Linzhang Lu, Xing Qiu +2
Bi-quadratic programming over unit spheres is a fundamental problem in quantum mechanics introduced by pioneer work of Einstein, Schrödinger, and others. It has been shown to be NP…