| Harnessing the power of llms in practice: A survey on chatgpt and beyond J Yang*, H Jin*, R Tang*, X Han*, Q Feng*, H Jiang, B Yin, X Hu TKDD 2024, 2024 | 340 | 2024 |
| An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks R Tang, M Du, N Liu, F Yang, X Hu KDD 2020, 2020 | 168 | 2020 |
| The Science of Detecting LLM-generated Texts R Tang, YN Chuang, X Hu Communications of the ACM, 2024 | 111 | 2024 |
| Does Synthetic Data Generation of LLMs Help Clinical Text Mining? R Tang*, X Han*, X Jiang, X Hu AMIA 2023 Annual Symposium, 2023 | 102 | 2023 |
| Fairness via Representation Neutralization M Du, S Mukherjee, G Wang, R Tang, A Awadallah, X Hu NeurIPS 2021, 2021 | 79 | 2021 |
| Mitigating Gender Bias in Captioning Systems R Tang, M Du, Y Li, Z Liu, N Zou, X Hu WWW 2021, 2021 | 59 | 2021 |
| Large language models for healthcare data augmentation: An example on patient-trial matching J Yuan, R Tang, X Jiang, X Hu AMIA Annual Symposium Proceedings, 2023 | 35* | 2023 |
| Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning R Tang, D Kong, L Huang, H Xue Findings of ACL 2023, 2023 | 22 | 2023 |
| SPeC: A soft prompt-based calibration on performance variability of large language model in clinical notes summarization YN Chuang, R Tang, X Jiang, X Hu Journal of Biomedical Informatics, 2024 | 21* | 2024 |
| Degree: Decomposition based Explanation for Graph Neural Networks Q Feng, N Liu, F Yang, R Tang, M Du, X Hu ICLR 2021, 2021 | 21 | 2021 |
| Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection R Tang, M Du, X Hu ECML PKDD 2023, 2023 | 14* | 2023 |
| Multi-organ Segmentation in Clinical-computed Tomography for Patient-specific Image Quality and Dose Metrology W Fu, S Sharma, T Smith, R Hou, E Abadi, V Selvakumaran, R Tang, ... SPIE Medical Imaging 2019: Physics of Medical Imaging, 2019 | 14 | 2019 |
| Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning S Ding, R Tang, D Zha, N Zou, K Zhang, X Jiang, X Hu AMIA 2022 Annual Symposium, 2022 | 12 | 2022 |
| Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking R Tang, Q Feng, N Liu, F Yang, X Hu SIGKDD Exploration Letter 2023, 2023 | 11 | 2023 |
| Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Z Liu*, G Wang*, S Zhong, Z Xu, D Zha, R Tang, Z Jiang, K Zhou, ... NeurIPS 2023, 2023 | 9 | 2023 |
| Classification of Chest CT Using Case-level Weak Supervision R Tang, FI Tushar, S Han, R Hou, GD Rubin, JY Lo SPIE Medical Imaging 2019: Computer-Aided Diagnosis, 2019 | 9 | 2019 |
| Defense Against Explanation Manipulation R Tang*, N Liu*, F Yang, N Zou, X Hu Frontiers in big Data 2022, 2022 | 7 | 2022 |
| Understanding Social Biases behind Location Names in Contextual Word Embedding Models F Wu, M Du, C Fan, R Tang, Y Yang, A Mostafavi, X Hu IEEE Transactions on Computational Social Systems, 2021 | 7 | 2021 |
| Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots R Tang, J Yuan, Y Li, Z Liu, R Chen, X Hu NeurIPS, 2023 | 6* | 2023 |
| Local Contrastive Learning for Medical Image Recognition SA Rizvi, R Tang, X Jiang, X Ma, X Hu AMIA 2023 Annual Symposium, 2023 | 6 | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
