| 2025 | ACL | Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning. | Xinyu Zhang, Aibo Song, Jingyi Qiu, Jiahui Jin, Tianbo Zhang, Xiaolin Fang |
| 2025 | ICRA | KALM: Keypoint Abstraction Using Large Models for Object-Relative Imitation Learning. | Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Toms Lozano-Prez, Leslie Pack Kaelbling |
| 2024 | APWEB | Dynamic Computation Scheduling for Hybrid Energy Mobile Edge Computing Networks. | Ran Bi, Weiye Si, Jiankang Ren, Xiaolin Fang, Yiwei Sun, Bingguo Chen |
| 2024 | ICDCS | Group-Centric Scheduling for Industrial Edge Computing Networks with Incomplete Information. | Tongxin Zhu, Ouming Zou, Xiaolin Fang, Junzhou Luo, Yingshu Li, Zhipeng Cai |
| 2024 | IROS | DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability. | Xiaolin Fang, Caelan Reed Garrett, Clemens Eppner, Toms Lozano-Prez, Leslie Pack Kaelbling, Dieter Fox |
| 2024 | IROS | Embodied Uncertainty-Aware Object Segmentation. | Xiaolin Fang, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2024 | SP | Transferable Multimodal Attack on Vision-Language Pre-training Models. | Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu |
| 2023 | CSCWD | A Trusted and Intelligent Service System for the Decoction of Traditional Chinese Medicine. | Yuntao Ma, Lihe Wang, Junzhou Luo, Xiaolin Fang |
| 2023 | CSCWD | Embedded Platform Based Intelligent Lecture Recording System. | Junhua Zhang, Junzhou Luo, Haozhe Zhang, Qingfeng Yuan, Xiaolin Fang |
| 2022 | ICRA | Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances. | Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Toms Lozano-Prez, Caelan Reed Garrett |
| 2022 | ICWS | Joint Service Placement and Computation Scheduling in Edge Clouds. | Ran Bi, Ting Peng, Jiankang Ren, Xiaolin Fang, Guozhen Tan |
| 2021 | AAAI | Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. | Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu |
| 2020 | GPC | A System to Find the Change of One's Vision Implicitly. | Xiaolin Fang, Weiwei Wu, Ran Bi, Wei Bian, Zenghui Zhang |
| 2020 | GPC | Recovering Cloud Services Using Hybrid Clouds Under Power Outage. | Yu Xia, Xueyong Xu, Wanyuan Wang, Xiujun He, Weiwei Wu, Xiaolin Fang |
| 2019 | CVPR | Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. | Tian Han, Erik Nijkamp, Xiaolin Fang, Mitch Hill, Song-Chun Zhu, Ying Nian Wu |
| 2018 | CVPR | Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer. | Haoshu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu-Wing Tai, Cewu Lu |
| 2018 | CVPR | Recurrent Residual Module for Fast Inference in Videos. | Bowen Pan, Wuwei Lin, Xiaolin Fang, Chaoqin Huang, Bolei Zhou, Cewu Lu |
| 2015 | INFOCOM | Drawing dominant dataset from big sensory data in wireless sensor networks. | Siyao Cheng, Zhipeng Cai, Jianzhong Li, Xiaolin Fang |
| 2014 | INFOCOM | Approximate multiple count in Wireless Sensor Networks. | Xiaolin Fang, Hong Gao, Jianzhong Li, Yingshu Li |
| 2013 | INFOCOM | Application-aware data collection in Wireless Sensor Networks. | Xiaolin Fang, Hong Gao, Jianzhong Li, Yingshu Li |