| 2026 | AAAI | EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance. | Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng Lee |
| 2025 | AAAI | Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment. | Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho, Tong Heng Lee |
| 2023 | ICRA | Few-Shot Point Cloud Semantic Segmentation via Contrastive Self-Supervision and Multi-Resolution Attention. | Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng-Xiang Wang, Tong Heng Lee |
| 2023 | IECON | Lightweight Compressed Temporal and Compressed Spatial Attention with Augmentation Fusion in Remaining Useful Life Prediction. | Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho, Clarence W. de Silva, Tong Heng Lee |
| 2023 | IECON | Few-Shot Point Cloud Semantic Segmentation for CAM/CAD via Feature Enhancement and Efficient Dual Attention. | Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Clarence W. de Silva, Tong Heng Lee |
| 2022 | INDIN | Masked Self-Supervision for Remaining Useful Lifetime Prediction in Machine Tools. | Haoren Guo, Haiyue Zhu, Jiahui Wang, Prahlad Vadakkepat, Weng Khuen Ho, Tong Heng Lee |
| 2022 | INDIN | CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning. | Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Prahlad Vadakkepat, Tong Heng Lee |