| 2026 | AAAI | SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving. | Qingju Guo, Shuang Li, Binhui Xie, Jing Geng, Wei Li |
| 2026 | WACV | Cluster-based Pseudo-labeling for Semi-Supervised LiDAR Semantic Segmentation. | Qingju Guo, Shuang Li, Jing Geng, Binhui Xie, Jiawei Shan, Wei Li |
| 2025 | ICML | From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. | Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang |
| 2024 | ICML | Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation. | Lincan Cai, Shuang Li, Wenxuan Ma, Jingxuan Kang, Binhui Xie, Zixun Sun, Chengwei Zhu |
| 2023 | AAAI | VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. | Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng |
| 2023 | CVPR | EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. | Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao |
| 2023 | CVPR | Robust Test-Time Adaptation in Dynamic Scenarios. | Longhui Yuan, Binhui Xie, Shuang Li |
| 2022 | AAAI | Active Learning for Domain Adaptation: An Energy-Based Approach. | Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang |
| 2022 | CVPR | Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. | Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng |
| 2021 | AAAI | Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. | Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin |
| 2020 | AAAI | Domain Conditioned Adaptation Network. | Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang |