Publication

Knowledge-Aware Co-Reasoning for Multidisciplinary Collaboration (EMNLP 2025)

Li, X., Jiao, W., Song, K., Zhu, R., Tang, H. 

Illuminating the Unseen: A Large-Scale Exploration of Bias in ICU Discharge Summaries via Language Models (BHI 2025)

Zhu, R., Mortensen,G., Fan, Y., Tang H. 

The global burden of high BMI among adolescents between 1990 and 2021 (Communications Medicine, 5(1), 125.)

Ge, C., Xiong, J., Zhu, R., Hong, Z., & He, Y.

ADetectoLocum: Harnessing Locally Deployable LLMs for Early Alzheimer's Disease Detection Through Voice Analysis (AMIA informatics summit 2025)

Mortensen,G*,  Zhu, R*. 

Global burden of high sugar-sweetened beverage consumption among young adults (Diabetology & Metabolic Syndrome, 17(1), 259.)

Ge, C., Xiong, J., Zhu, R., Hong, Z., & He, Y. 

Kedrec-lm: A knowledge-distilled explainable drug recommendation large language model  (NIP@IR Workshop)

Zhang K, Zhu R, Ma S, Xiong J, Kim Y, Murai F, Liu X. 

Rigging the Foundation: Manipulating Pre-training for Advanced Membership Inference Attacks (IEEE S&P 2025)

Z Wang*, Zhu R*, Z Zhang, H Tang, X Wang. 

Sharpness-Aware Initialization: Improving Differentially Private Machine Learning from First Principles (USENIX Security 2025)

Z Wang*, Zhu R*, Z Zhang, H Tang, X Wang. 

Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering (NDSS 2024)

Zhu, R., Tang, D., Tang, S., Wang, Z,. Tao, G., Ma, S., Wang, X., & Tang, H. 

DPAdapter: Improving differentially private deep learning through noise tolerance pre-training (USENIX 2024). 

Wang, Z.*, Zhu, R*, Zhou, D., Zhang, Z., Mitchell, J., Tang, H., & Wang, X. 

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks (CCS 2024)

Chen, X.*, Tang, S.*, Zhu, R*, Yan, S., Jin, L., Wang,. Z., Su, L., Wang, X., & Tang, H. 

Fairfix: Improving fairness of deep neural networks through selective amnesia and recovery (SmartCom 2023)

Li, Z.*, Zhu, R*, Ziahao, W., Haixu, T., & Hongfeng, C. 

Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models (IEEE S&P 2023).

Zhu, R*., Tang, D*., Tang, S., Wang, X., & Tang, H. 

STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion (EMNLP 2023).

Li, X., Qin, Y., Zhu, R., Lin, T., Fan, Y., Kang, Y., Song, K., Zhao, F., Sun, C., Tang, H., & Liu, X. (2023). 

Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents. (IEEE BigData 2022)

Li, X., Liu, K., Zhu, R., Kang, Y., Sun, C., Song, K., & Liu, X.

Privacy-preserving construction of generalized linear mixed model for biomedical computation (ISMB 2020) 

Zhu, R., Jiang, C., Wang, X., Wang, S., Zheng, H., & Tang, H.