| 2025 | DCC | Octree-Based Learned Point Cloud Geometry Compression: A Lossy Perspective. | Kaiyu Zheng, Wei Gao, Huiming Zheng |
| 2023 | ICRA | ASystem for Generalized 3D Multi-Object Search. | Kaiyu Zheng, Anirudha Paul, Stefanie Tellex |
| 2022 | GLOBECOM | ChannelFed: Enabling Personalized Federated Learning via Localized Channel Attention. | Kaiyu Zheng, Xuefeng Liu, Guogang Zhu, Xinghao Wu, Jianwei Niu |
| 2022 | ICRA | Towards Optimal Correlational Object Search. | Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex |
| 2021 | IROS | Multi-Resolution POMDP Planning for Multi-Object Search in 3D. | Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex |
| 2021 | RO-MAN | Spatial Language Understanding for Object Search in Partially Observed City-scale Environments. | Kaiyu Zheng, Deniz Bayazit, Rebecca Mathew, Ellie Pavlick, Stefanie Tellex |
| 2019 | IROS | From Pixels to Buildings: End-to-end Probabilistic Deep Networks for Large-scale Semantic Mapping. | Kaiyu Zheng, Andrzej Pronobis |
| 2018 | AAAI | Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. | Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao |