| Towards trustworthy and aligned machine learning: A data-centric survey with causality perspectives H Liu, M Chaudhary, H Wang arXiv preprint arXiv:2307.16851, 2023 | 21 | 2023 |
| UIUC_BioNLP at SemEval-2021 task 11: A cascade of neural models for structuring scholarly NLP contributions H Liu, MJ Sarol, H Kilicoglu arXiv preprint arXiv:2105.05435, 2021 | 15 | 2021 |
| Foundation model-oriented robustness: Robust image model evaluation with pretrained models P Zhang, H Liu, C Li, X Xie, S Kim, H Wang arXiv preprint arXiv:2308.10632, 2023 | 7 | 2023 |
| Dataset distillation via the wasserstein metric H Liu, T Xing, L Li, V Dalal, J He, H Wang arXiv preprint arXiv:2311.18531, 2023 | 5 | 2023 |
| Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models T Zhang, H Liu, P Zhang, Y Cheng, H Wang arXiv preprint arXiv:2311.15543, 2023 | 3 | 2023 |
| Towards adversarially robust dataset distillation by curvature regularization E Xue, Y Li, H Liu, Y Shen, H Wang arXiv preprint arXiv:2403.10045, 2024 | 2 | 2024 |
| Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data H Liu, Y Li, J Jian, Y Cheng, J Lu, S Guo, J Zhu, M Zhang, M Zhang, ... arXiv preprint arXiv:2402.12391, 2024 | 2 | 2024 |
| GenoTEX: A Benchmark for Evaluating LLM-Based Exploration of Gene Expression Data in Alignment with Bioinformaticians H Liu, H Wang arXiv preprint arXiv:2406.15341, 2024 | | 2024 |
| Approximate Nullspace Augmented Finetuning for Robust Vision Transformers H Liu, A Singh, Y Li, H Wang arXiv preprint arXiv:2403.10476, 2024 | | 2024 |
Haohan WangSchool of Information Sciences, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
