Ziyue Liu

20 papers A* 3C 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation.
CoRR
Ziyue Liu, Davide Talon, Federico Girella, Zanxi Ruan, Mattia Mondo, Loris Bazzani, Yiming Wang, Marco Cristani
2026 J jnl
Muon+: Towards Better Muon via One Additional Normalization Step.
CoRR
Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Zheng Zhang
2026 J jnl
SWE-AGI: Benchmarking Specification-Driven Software Construction with MoonBit in the Era of Autonomous Agents.
CoRR
Zhirui Zhang, Hongbo Zhang, Haoxiang Fei, Zhiyuan Bao, Yubin Chen, Zhengyu Lei, Ziyue Liu, Yixuan Sun, Mingkun Xiao, Zihang Ye, Yu Zhang, Hongcheng Zhu, Yuxiang Wen, Heung-Yeung Shum
2025 J jnl
BOOST: BOttleneck-Optimized Scalable Training Framework for Low-Rank Large Language Models.
CoRR
Zhengyang Wang, Ziyue Liu, Ruijie Zhang, Avinash Maurya, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025 A* conf
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation.
EMNLP
Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Mingsong Yan, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Sui Tang, Zheng Zhang
2025 J jnl
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation.
CoRR
Ziyue Liu, Ruijie Zhang, Zhengyang Wang, Zi Yang, Paul D. Hovland, Bogdan Nicolae, Franck Cappello, Zheng Zhang
2025 — conf
Evaluating Attribute Confusion in Fashion Text-to-Image Generation.
ICIAP (2)
Ziyue Liu, Federico Girella, Yiming Wang, Davide Talon
2025 J jnl
Evaluating Attribute Confusion in Fashion Text-to-Image Generation.
CoRR
Ziyue Liu, Federico Girella, Yiming Wang, Davide Talon
2025 J jnl
LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing.
CoRR
Federico Girella, Davide Talon, Ziyue Liu, Zanxi Ruan, Yiming Wang, Marco Cristani
2025 J jnl
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing.
CoRR
Ruijie Zhang, Ziyue Liu, Zhengyang Wang, Zheng Zhang
2025 J jnl
Lightning Image Segmentation Based on Contour Detection and Curvature Analysis.
J. Adv. Comput. Intell. Intell. Informatics
Tong Xiao, Shaoyun Jin, Ziyue Liu, Deng Ju, Jinyan Xu, Yurui Xie, Hui Li
2025 J jnl
Parameter-Efficient Continual Fine-Tuning: A Survey.
CoRR
Eric Nuertey Coleman, Luigi Quarantiello, Ziyue Liu, Qinwen Yang, Samrat Mukherjee, Julio Hurtado, Vincenzo Lomonaco
2025 J jnl
Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL).
npj Digit. Medicine
Lingzhong Meng, Jiangqiong Li, Xiang Liu, Yanhua Sun, Zuotian Li, Jinjin Cai, Ameya D. Parab, George Lu, Aishwarya Budhkar, Saravanan Kanakasabai, David C. Adams, Ziyue Liu, Xuhong Zhang, Jing Su
2025 A* conf
Seeing the Abstract: Translating the Abstract Language for Vision Language Models.
CVPR
Davide Talon, Federico Girella, Ziyue Liu, Marco Cristani, Yiming Wang
2025 J jnl
Seeing the Abstract: Translating the Abstract Language for Vision Language Models.
CoRR
Davide Talon, Federico Girella, Ziyue Liu, Marco Cristani, Yiming Wang
2024 A* conf
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization.
NeurIPS
Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
2024 J jnl
Improved stability criteria of neural networks with time-varying delay based on the variable-augmented-based free-weighting-matrices.
J. Frankl. Inst.
Ziyue Liu, Yong He, Li Jin
2024 J jnl
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection.
CoRR
Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso
2024 C conf
Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection.
CBMI
Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso
2024 J jnl
Neural-based inexact graph de-anonymization.
High Confid. Comput.
Guangxi Lu, Kaiyang Li, Xiaotong Wang, Ziyue Liu, Zhipeng Cai, Wei Li