Guo-Hua Wang

26 papers A* 5Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.
ICML
Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation.
CoRR
Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
Diffusion-SDPO: Safeguarded Direct Preference Optimization for Diffusion Models.
CoRR
Minghao Fu, Guo-Hua Wang, Tianyu Cui, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation.
CoRR
Tianyu Cui, Jinbin Bai, Guo-Hua Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ye Shi
2025 J jnl
Ovis-Image Technical Report.
CoRR
Guo-Hua Wang, Liangfu Cao, Tianyu Cui, Minghao Fu, Xiaohao Chen, Pengxin Zhan, Jianshan Zhao, Lan Li, Bowen Fu, Jiaqi Liu, Qing-Guo Chen
2025 J jnl
Ovis-U1 Technical Report.
CoRR
Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang, Liangfu Cao, Pengxin Zhan, Lunhao Duan, Shiyin Lu, Minghao Fu, Xiaohao Chen, Jianshan Zhao, Yang Li, Qing-Guo Chen
2025 J jnl
TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance.
CoRR
Minghao Fu, Guo-Hua Wang, Xiaohao Chen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2025 J jnl
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities.
CoRR
Xinjie Zhang, Jintao Guo, Shanshan Zhao, Minghao Fu, Lunhao Duan, Guo-Hua Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang
2024 A* conf
Dense Vision Transformer Compression with Few Samples.
CVPR
Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang
2024 J jnl
Dense Vision Transformer Compression with Few Samples.
CoRR
Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang, Jianxin Wu
2024 J jnl
Invariant Subspaces of Short Pulse-Type Equations and Reductions.
Symmetry
Guo-Hua Wang, Jia-Fu Pang, Yong-Yang Jin, Bo Ren
2024 J jnl
Practical Network Acceleration With Tiny Sets: Hypothesis, Theory, and Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell.
Guo-Hua Wang, Jianxin Wu
2023 A* conf
EVC: Towards Real-Time Neural Image Compression with Mask Decay.
ICLR
Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu
2023 J jnl
EVC: Towards Real-Time Neural Image Compression with Mask Decay.
CoRR
Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu
2023 J jnl
How to Reduce Change Detection to Semantic Segmentation.
Pattern Recognit.
Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
2023 A* conf
Practical Network Acceleration with Tiny Sets.
CVPR
Guo-Hua Wang, Jianxin Wu
2023 J jnl
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm.
CoRR
Guo-Hua Wang, Jianxin Wu
2022 J jnl
Distilling Knowledge by Mimicking Features.
IEEE Trans. Pattern Anal. Mach. Intell.
Guo-Hua Wang, Yifan Ge, Jianxin Wu
2022 J jnl
How to Reduce Change Detection to Semantic Segmentation.
CoRR
Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
2022 J jnl
PENCIL: Deep Learning with Noisy Labels.
CoRR
Kun Yi, Guo-Hua Wang, Jianxin Wu
2022 J jnl
Practical Network Acceleration with Tiny Sets.
CoRR
Guo-Hua Wang, Jianxin Wu
2022 J jnl
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning.
CoRR
Guo-Hua Wang, Jianxin Wu
2020 J jnl
In Defense of Feature Mimicking for Knowledge Distillation.
CoRR
Guo-Hua Wang, Yifan Ge, Jianxin Wu
2020 A* conf
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning.
AAAI
Guo-Hua Wang, Jianxin Wu
2019 J jnl
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning.
CoRR
Guo-Hua Wang, Jianxin Wu
2010 — conf
A Study on Manage Mechanism of College Internet Public Opinion.
ICEE
Run-xi Zeng, Guo-Hua Wang