Guanhua Zhang

Ph.D. Student in MPI-IS

ghzhang233 [AT] outlook.com

Bio

Hi! I am a Ph.D. student in Max Planck Institute for Intelligent Systems. I am advisided by Moritz Hardt. My research contributes to building reliable and trustworthy intelligent systems, with a particular interest on their social impacts. Recently, I am also having fun playing with generative models like large language models and diffusion models.

Prior to my current position, I was fortunate to conduct research under the supervision of Shiyu Chang. I got my B.S. in computer science from Harbin Institute of Technology in China.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks

Guanhua Zhang, Moritz Hardt

ICML ‘24: International Conference on Learning Representations

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

NAACL ‘24: Annual Conference of the North American Chapter of the Association for Computational Linguistics

Improving Diffusion Models for Scene Text Editing with Dual Encoders

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang

TMLR ‘24: Transactions on Machine Learning Research

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

ICCV ‘23: IEEE/CVF International Conference on Computer Vision

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

ICML’23: International Conference on Machine Learning

TEXTGRAD: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

Bairu Hou, Yihua Zhang, Jinghan Jia, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

ICLR ‘23: International Conference on Learning Representations

Fairness Reprogramming

Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

NerrIPS ‘22: Conference on Neural Information Processing Systems

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

ICML’22: International Conference on Machine Learning

Why is Attention Not So Interpretable?

Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

KDD’21: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao

ACL’20: Annual Meeting of the Association for Computational Linguistics

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

ACL’19: Annual Meeting of the Association for Computational Linguistics

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks

Guanhua Zhang, Moritz Hardt

ICML ‘24: International Conference on Learning Representations

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang

NAACL ‘24: Annual Conference of the North American Chapter of the Association for Computational Linguistics

Improving Diffusion Models for Scene Text Editing with Dual Encoders

Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, Shiyu Chang

TMLR ‘24: Transactions on Machine Learning Research

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

ICCV ‘23: IEEE/CVF International Conference on Computer Vision

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang

ICML’23: International Conference on Machine Learning

TEXTGRAD: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

Bairu Hou, Yihua Zhang, Jinghan Jia, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang

ICLR ‘23: International Conference on Learning Representations

Fairness Reprogramming

Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang

NerrIPS ‘22: Conference on Neural Information Processing Systems

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

ICML’22: International Conference on Machine Learning

Why is Attention Not So Interpretable?

Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang

KDD’21: ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting

Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao

ACL’20: Annual Meeting of the Association for Computational Linguistics

Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao

ACL’19: Annual Meeting of the Association for Computational Linguistics

Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao

Preprint in arXiv: 2010.07676

Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability

Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao

Preprint in arXiv: 1909.04242

CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo

Preprint in arXiv: 2004.04816

Services

Program Committee: Neurips, ICML, ARR, ACL, CVPR, AAAI, KAIS