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Ruixiang (Ryan) Tang
Ruixiang (Ryan) Tang
Assistant Professor of Computer Science, Rutgers University
Verifierad e-postadress på rutgers.edu - Startsida
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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
8002024
The Science of Detecting LLM-generated Texts
R Tang, YN Chuang, X Hu
Communications of the ACM, 2024
2192024
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
R Tang, M Du, N Liu, F Yang, X Hu
KDD 2020, 2020
2172020
Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
R Tang*, X Han*, X Jiang, X Hu
AMIA 2023 Annual Symposium, 2023
178*2023
Fairness via Representation Neutralization
M Du, S Mukherjee, G Wang, R Tang, A Awadallah, X Hu
NeurIPS 2021, 2021
912021
Large language models for healthcare data augmentation: An example on patient-trial matching
J Yuan, R Tang, X Jiang, X Hu
AMIA 2023 Annual Symposium, 🏆Best Student Paper, 2023
81*2023
Mitigating Gender Bias in Captioning Systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
WWW 2021, 2021
73*2021
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
472023
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
38*2024
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
362023
Degree: Decomposition based Explanation for Graph Neural Networks
Q Feng, N Liu, F Yang, R Tang, M Du, X Hu
ICLR 2021, 2021
34*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, 2023
19*2023
Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
R Tang, M Du, X Hu
ECML PKDD 2023, 2023
19*2023
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
W Hua, X Yang, M Jin, Z Li, W Cheng, R Tang, Y Zhang
Findings of the EMNLP, 2024
18*2024
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
162023
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, 🏆Best Student Paper Finalist, 2022
142022
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
142019
Defense Against Explanation Manipulation
R Tang*, N Liu*, F Yang, N Zou, X Hu
Frontiers in big Data 2022, 2022
132022
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
102021
Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs
YN Chuang, KH Lai, R Tang, M Du, CY Chang, N Zou, X Hu
TKDD 2024, 2024
9*2024
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Artiklar 1–20