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