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.
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: The Eleventh International Conference on Learning Representations
Fairness Reprogramming
Guanhua Zhang‡, Yihua Zhang‡, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
NerrIPS ‘22: Thirty-sixth 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
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: The Eleventh International Conference on Learning Representations
Fairness Reprogramming
Guanhua Zhang‡, Yihua Zhang‡, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
NerrIPS ‘22: Thirty-sixth 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