3 citations · 5 across the 5 of their papers we have counts for
6 papers
SAMUeL: Efficient Vocal-Conditioned Music Generation via Soft Alignment Attention and Latent Diffusion
Hei Shing Cheung, Boya Zhang, Jonathan H. Chan
We present a lightweight latent diffusion model for vocal-conditioned musical accompaniment generation that addresses critical limitations in existing music AI systems. Our approac…
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang, Weijian Luo, Zhihua Zhang
Adversarial attacks can mislead neural network classifiers. The defense against adversarial attacks is important for AI safety. Adversarial purification is a family of approaches t…
Enhancing Adversarial Robustness via Score-Based Optimization
Boya Zhang, Weijian Luo, Zhihua Zhang
Adversarial attacks have the potential to mislead deep neural network classifiers by introducing slight perturbations. Developing algorithms that can mitigate the effects of these…
Entropy-based Training Methods for Scalable Neural Implicit Sampler
Weijian Luo, Boya Zhang, Zhihua Zhang
Efficiently sampling from un-normalized target distributions is a fundamental problem in scientific computing and machine learning. Traditional approaches such as Markov Chain Mont…
Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
Boya Zhang, Robert B. Gramacy, Leah Johnson +2
Delta smelt is an endangered fish species in the San Francisco estuary that have shown an overall population decline over the past 30 years. Researchers have developed a stochastic…
Distance-distributed design for Gaussian process surrogates
Boya Zhang, D. Austin Cole, Robert B. Gramacy
A common challenge in computer experiments and related fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. Much…