| 2026 | PAKDD | Semantic Steer Chain: Efficient and Precise Black-Box Jailbreaking Through Adaptive Approximation. | Jiesen Long, Yisheng Zheng, Jiayun Wu, Guojiao Zhao |
| 2025 | ICASSP | Rethinking Camouflaged Object Detection via Foreground-Background Interactive Learning. | Chenxi Zhang, Qing Zhang, Jiayun Wu |
| 2025 | ICLR | Benign Overfitting in Out-of-Distribution Generalization of Linear Models. | Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin |
| 2025 | ICML | Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage. | Konstantina Bairaktari, Jiayun Wu, Steven Wu |
| 2025 | ICML | Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. | Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong |
| 2025 | IJCNN | HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection. | Jiayun Wu, Qing Zhang, Chenxi Zhang, Yanjiao Shi, Qiangqiang Zhou |
| 2024 | AISTATS | Enhancing Distributional Stability among Sub-populations. | Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui |
| 2024 | ICA3PP | An Encoder-Based Framework for Privacy-Preserving Machine Learning. | Jiayun Wu, Wei Ren, Xianchao Zhang, Xianghan Zheng |
| 2024 | ICML | Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. | Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui |
| 2023 | ICLR | Measure the Predictive Heterogeneity. | Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui |
| 2022 | UIC | Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling. | Jiayun Wu, Tao Jia, Yansong Wang, Li Tao |
| 2012 | ICARCV | A color grouping method for detection of object regions based on local saliency. | Jiayun Wu, Kah Bin Lim |
| 2010 | ICARCV | Convergence of Kalman filter with quantized innovations. | Jian Xu, Jianxun Li, Jiayun Wu |