| 2024 | CVPR | Evaluating and Improving Compositional Text-to-Visual Generation. | Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan |
| 2024 | ECCV | Evaluating Text-to-Visual Generation with Image-to-Text Generation. | Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan |
| 2024 | ICASSP | Federated Learning on Distributed Graphs Considering Multiple Heterogeneities. | Baiqi Li, Yedi Ma, Yufei Liu, Hongyan Gu, Zhenghan Chen, Xinli Huang |
| 2024 | WWW | Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models. | Hongyan Gu, Xinyi Zhang, Jiang Li, Hui Wei, Baiqi Li, Xinli Huang |
| 2022 | VTC | External Passive Intermodulation Suppression by General Linear Combination based Robust Adaptive Beamforming. | Zhongrui Wang, Xu Zhu, Yufei Jiang, Haiyong Zeng, Baiqi Li |
| 2022 | WCNC | Cooperative Time Synchronization and Parameter Estimation via Broadcasting for Cell-Free Massive MIMO Networks. | Baiqi Li, Xu Zhu, Yufei Jiang, Haiyong Zeng, Yuanchen Wang |
| 2018 | DASFAA | A Cost-Sensitive Loss Function for Machine Learning. | Shihong Chen, Xiaoqing Liu, Baiqi Li |