1 citations · 1 across the 5 of their papers we have counts for
5 papers
FreqEdit: Preserving High-Frequency Features for Robust Multi-Turn Image Editing
Yucheng Liao, Jiajun Liang, Kaiqian Cui +5
Instruction-based image editing through natural language has emerged as a powerful paradigm for intuitive visual manipulation. While recent models achieve impressive results on sin…
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding
Shen Zhang, Siyuan Liang, Yaning Tan +9
Diffusion transformers (DiTs) struggle to generate images at resolutions higher than their training resolutions. The primary obstacle is that the explicit positional encodings(PE),…
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers
Zhaodong Bing, Linze Li, Jiajun Liang
Knowledge distillation (KD) in transformers often faces challenges due to misalignment in the number of attention heads between teacher and student models. Existing methods either…
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
Jiajun Liang, Qian Zhang, Wei Deng +2
This work introduces a novel and efficient Bayesian federated learning algorithm, namely, the Federated Averaging stochastic Hamiltonian Monte Carlo (FA-HMC), for parameter estimat…
The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control
Jiajun Liang, Yue Liu, Doudou Zhou +2
Graphical models find numerous applications in biology, chemistry, sociology, neuroscience, etc. While substantial progress has been made in graph estimation, it remains largely un…