Guanhua Zhang

Ph.D. Student in UCSB

ghzhang233 [AT] outlook.com

Bio

Guanhua Zhang is Ph.D. student in the computer science department at the University of California, Santa Barbara (UCSB). He is advisided by Prof. Shiyu Chang. His research focuses on natural language processing and computational linguistics.

Recently, he is interested in working on alleviating the social biases in natural language processing systems. Another line of his research is to improve the robustness of computational linguistic models against dataset biases and adversarial attacks.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

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

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: Neurips2022, ARR 2022 Cycle, ICML2022, KAIS, AAAI2022, ACL2022, Neurips2021, WNU2021, NLPCC2020

Vitæ

Misc

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