3 papers
cs.LG2026
Poisson-Gamma Dynamical Systems with Time-varying Transition Dynamics
Jiahao Wang, Yijun Wang, Nan Fang +1
Bayesian methodologies for handling count-valued time series have gained prominence due to their ability to infer interpretable latent structures and to estimate uncertainties. Amo…
cs.CR2024
A Practical Trigger-Free Backdoor Attack on Neural Networks
Jiahao Wang, Xianglong Zhang, Xiuzhen Cheng +2
Backdoor attacks on deep neural networks have emerged as significant security threats, especially as DNNs are increasingly deployed in security-critical applications. However, most…
cs.LG2024
A Poisson-Gamma Dynamic Factor Model with Time-Varying Transition Dynamics
Jiahao Wang, Sikun Yang, Heinz Koeppl +3
Probabilistic approaches for handling count-valued time sequences have attracted amounts of research attentions because their ability to infer explainable latent structures and to…