activity
20212026
most citedName Your Style: An Arbitrary Artist-aware Image Style Transfer

17 citations · 22 across the 8 of their papers we have counts for

collaborators

10 papers

cs.MA2026

Calibration Is Not Verification: Falsifiability-Aware Conformal Routing for Mixture-of-Agents

Nada Rahali, Zijia Wang, Zhisong Liu

Multi-agent language systems often treat agreement as evidence, yet heterogeneous agents can jointly repeat an unsupported claim or omit a correct specialist fact. We introduce C-M…

cs.CV2024

Bridging Text and Image for Artist Style Transfer via Contrastive Learning

Zhi-Song Liu, Li-Wen Wang, Jun Xiao +1

Image style transfer has attracted widespread attention in the past few years. Despite its remarkable results, it requires additional style images available as references, making i…

eess.IV2024

Downscaling Neural Network for Coastal Simulations

Zhi-Song Liu, Markus Büttner, Matthew Scarborough +4

Learning the fine-scale details of a coastal ocean simulation from a coarse representation is a challenging task. For real-world applications, high-resolution simulations are neces…

cs.LG2024

Neural Network Emulator for Atmospheric Chemical ODE

Zhi-Song Liu, Petri Clusius, Michael Boy

Modeling atmospheric chemistry is complex and computationally intense. Given the recent success of Deep neural networks in digital signal processing, we propose a Neural Network Em…

cs.CV2024★ 1 cited

StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer

Zijia Wang, Zhi-Song Liu

We present StyleMamba, an efficient image style transfer framework that translates text prompts into corresponding visual styles while preserving the content integrity of the origi…

cs.CV2024

FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild

Zhi-Song Liu, Robin Courant, Vicky Kalogeiton

Automatically understanding funny moments (i.e., the moments that make people laugh) when watching comedy is challenging, as they relate to various features, such as body language,…