| Revisiting and advancing fast adversarial training through the lens of bi-level optimization Y Zhang, G Zhang, P Khanduri, M Hong, S Chang, S Liu International Conference on Machine Learning, 26693-26712, 2022 | 88 | 2022 |
| Demographics should not be the reason of toxicity: Mitigating discrimination in text classifications with instance weighting G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao arXiv preprint arXiv:2004.14088, 2020 | 78 | 2020 |
| Why attentions may not be interpretable? B Bai, J Liang, G Zhang, H Li, K Bai, F Wang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 75 | 2021 |
| Towards coherent image inpainting using denoising diffusion implicit models G Zhang, J Ji, Y Zhang, M Yu, TS Jaakkola, S Chang | 50 | 2023 |
| Fairness reprogramming G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang Advances in Neural Information Processing Systems 35, 34347-34362, 2022 | 41 | 2022 |
| Selection bias explorations and debias methods for natural language sentence matching datasets G Zhang, B Bai, J Liang, K Bai, S Chang, M Yu, C Zhu, T Zhao arXiv preprint arXiv:1905.06221, 2019 | 33 | 2019 |
| Certified robustness for large language models with self-denoising Z Zhang, G Zhang, B Hou, W Fan, Q Li, S Liu, Y Zhang, S Chang arXiv preprint arXiv:2307.07171, 2023 | 25* | 2023 |
| Improving diffusion models for scene text editing with dual encoders J Ji, G Zhang, Z Wang, B Hou, Z Zhang, B Price, S Chang arXiv preprint arXiv:2304.05568, 2023 | 25 | 2023 |
| Robust mixture-of-expert training for convolutional neural networks Y Zhang, R Cai, T Chen, G Zhang, H Zhang, PY Chen, S Chang, Z Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 90-101, 2023 | 20 | 2023 |
| Textgrad: Advancing robustness evaluation in nlp by gradient-driven optimization B Hou, J Jia, Y Zhang, G Zhang, Y Zhang, S Liu, S Chang arXiv preprint arXiv:2212.09254, 2022 | 19 | 2022 |
| Csrn: collaborative sequential recommendation networks for news retrieval B Bai, G Zhang, Y Lin, H Li, K Bai, B Luo arXiv preprint arXiv:2004.04816, 2020 | 6 | 2020 |
| Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmark G Zhang, M Hardt arXiv preprint arXiv:2405.01719, 2024 | 5 | 2024 |
| Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark G Zhang, B Bai, J Liang, K Bai, C Zhu, T Zhao arXiv preprint arXiv:2010.07676, 2020 | 2 | 2020 |
| Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability G Zhang, B Bai, J Zhang, K Bai, C Zhu, T Zhao arXiv preprint arXiv:1909.04242, 2019 | 2 | 2019 |
Shiyu ChangUniversity of California, Santa BarbaraVerified email at cs.ucsb.edu