Zhang, Guanhua

8 publications

NeurIPS 2025 How Benchmark Prediction from Fewer Data Misses the Mark Guanhua Zhang, Florian E. Dorner, Moritz Hardt

TMLR 2024 Improving Diffusion Models for Scene Text Editing with Dual Encoders Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang

ICML 2024 Inherent Trade-Offs Between Diversity and Stability in Multi-Task Benchmarks Guanhua Zhang, Moritz Hardt

ICCV 2023 Robust Mixture-of-Expert Training for Convolutional Neural Networks Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu

ICLR 2023 TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

ICML 2023 Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

NeurIPS 2022 Fairness Reprogramming Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

ICML 2022 Revisiting and Advancing Fast Adversarial Training Through the Lens of Bi-Level Optimization Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu