| 2026 | ACL | OmniOData: Unleashing Small Language Models for OData Query Generation with Synthetic Data and Reinforcement Learning. | Tao Bai, Zhaochen Li, Hongxin Shao, Daniel Dahlmeier |
| 2025 | DAC | Late Breaking Results: BLAST: Bisection-Free Learning Approach for Statistical Timing Characterization. | Kai Jing, Tao Bai, Zeyuan Deng, Junming Jiao, Peng Cao |
| 2025 | SRDS | WINK:A Semi-Honest Secure Multi-Party Computation Framework with Efficient Comparison Protocol. | Yuanqing Feng, Tao Bai, Zhi Lu, Junjun Wu, Xueming Tang, Songfeng Lu |
| 2023 | ICASSP | Towards Adversarially Robust Continual Learning. | Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen |
| 2022 | AAAI | Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. | Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | AAAI | Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation. | Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | AAAI | Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. | Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan |
| 2022 | CVPR | Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation. | Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2021 | AAAI | Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). | Jinqi Luo, Tao Bai, Jun Zhao |
| 2021 | ICIP | AI-GAN: Attack-Inspired Generation of Adversarial Examples. | Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot |
| 2021 | IJCAI | Recent Advances in Adversarial Training for Adversarial Robustness. | Tao Bai, Jinqi Luo, Jun Zhao, Bihan Wen, Qian Wang |
| 2015 | EMNLP | A Graph-based Readability Assessment Method using Word Coupling. | Zhiwei Jiang, Gang Sun, Qing Gu, Tao Bai, Daoxu Chen |
| 2008 | ADMA | The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress. | Jian-guo Zhou, Tao Bai, Ji-ming Tian |
| 2008 | CEC | Predicting corporate financial distress using KPCA and GA-based support vector machine. | Jian-guo Zhou, Tao Bai |
| 2008 | GPC | Credit Risk Assessment Using Rough Set Theory and GA-Based SVM. | Jian-guo Zhou, Tao Bai |
| 2008 | GRC | The SVM Optimized by Culture Genetic Algorithm and its Application in Forecasting Share Price. | Jian-guo Zhou, Tao Bai, Chao Suo |