| 2025 | EMNLP | BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text. | Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo, Sagnik Ray Choudhury, Hamed Alhoori |
| 2025 | ICCV | Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-Based Action Recognition. | Wenhan Wu, Zhishuai Guo, Chen Chen, Hongfei Xue, Aidong Lu |
| 2023 | ICML | FeDXL: Provable Federated Learning for Deep X-Risk Optimization. | Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang |
| 2023 | ICML | Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization. | Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang |
| 2022 | ICLR | Compositional Training for End-to-End Deep AUC Maximization. | Zhuoning Yuan, Zhishuai Guo, Nitesh V. Chawla, Tianbao Yang |
| 2021 | ICML | Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity. | Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang |
| 2020 | ECCV | Accelerating Deep Learning with Millions of Classes. | Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang |
| 2020 | ICML | Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. | Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang |
| 2018 | PAKDD | A New Local Density for Density Peak Clustering. | Zhishuai Guo, Tianyi Huang, Zhiling Cai, William Zhu |