| 2025 | IJCAI | Self-calibration Enhanced Whole Slide Pathology Image Analysis. | Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng |
| 2024 | ACL | Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding. | Hanling Yi, Feng Lin, Hongbin Li, Peiyang Ning, Xiaotian Yu, Rong Xiao |
| 2024 | IJCAI | Improving Adversarial Robustness via Feature Pattern Consistency Constraint. | Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song |
| 2024 | IJCAI | Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing. | Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng |
| 2024 | MICCAI | Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. | Tianhong Gao, Jie Song, Xiaotian Yu, Shengxuming Zhang, Wenjie Liang, Hongbin Zhang, Ziqian Li, Wenzhuo Zhang, Xiuming Zhang, Zipeng Zhong, Mingli Song, Zunlei Feng |
| 2023 | CVPR | How to Prevent the Continuous Damage of Noises to Model Training? | Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun |
| 2022 | AAAI | Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. | Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song |
| 2022 | VCIP | Space and Level Cooperation Framework for Pathological Cancer Grading. | Xiaotian Yu, Zunlei Feng, Xiuming Zhang, Yuexuan Wang, Thomas Li |
| 2021 | BMVC | Tendentious Noise-rectifying Framework for Pathological HCC Grading. | Xiaotian Yu, Zunlei Feng, Yuexuan Wang, Thomas Kwok To Li, Xiuming Zhang, Mingli Song |
| 2020 | ECCV | Accelerating Deep Learning with Millions of Classes. | Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang |
| 2018 | IJCAI | A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. | Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang |
| 2018 | UAI | Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. | Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King |
| 2017 | AAAI | CBRAP: Contextual Bandits with RAndom Projection. | Xiaotian Yu, Michael R. Lyu, Irwin King |
| 2017 | ICDM | Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. | Xiaotian Yu, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | Online non-negative dictionary learning via moment information for sparse Poisson coding. | Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2014 | IJCNN | Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse. | Chen Peng, Yingbiao Ling, Ying Wang, Xiaotian Yu, Yunong Zhang |
| 2013 | ICMLC | ZD and ZG controllers for explicit and implicit tracking of pendulum with singularity finally conquered. | Yunong Zhang, Chen Peng, Xiaotian Yu, Yonghua Yin, Yingbiao Ling |
| 2013 | ICNC | A continuous-time model and simulative verifications of Zhang-gradient type Zhang reciprocal for time-varying numbers. | Yunong Zhang, Feiheng Luo, Xiaotian Yu, Jinrong Liu, Junwei Chen |
| 2013 | ICNC | New discrete-time ZNN models and numerical algorithms derived from a new Zhang function for time-varying linear equations solving. | Yunong Zhang, Xiaotian Yu, Bingguo Mu, Zhengping Fan, Huicheng Zheng |