| 2025 | CVPR | Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding. | Han Xiao, Yina Xie, Guanxin Tan, Yinghao Chen, Rui Hu, Ke Wang, Aojun Zhou, Hao Li, Hao Shao, Xudong Lu, Peng Gao, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li |
| 2025 | ICLR | SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction. | Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2025 | ICML | EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. | Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li |
| 2024 | AAAI | Polyper: Boundary Sensitive Polyp Segmentation. | Hao Shao, Yang Zhang, Qibin Hou |
| 2024 | CVPR | LMDrive: Closed-Loop End-to-End Driving with Large Language Models. | Hao Shao, Yuxuan Hu, Letian Wang, Guanglu Song, Steven L. Waslander, Yu Liu, Hongsheng Li |
| 2024 | CVPR | SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction. | Yang Zhou, Hao Shao, Letian Wang, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2024 | ICML | SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. | Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Yu Qiao, Hongsheng Li, Peng Gao |
| 2023 | CVPR | ReasonNet: End-to-End Driving with Temporal and Global Reasoning. | Hao Shao, Letian Wang, Ruobing Chen, Steven L. Waslander, Hongsheng Li, Yu Liu |
| 2022 | CoRL | Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer. | Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, Yu Liu |
| 2020 | AAAI | Temporal Interlacing Network. | Hao Shao, Shengju Qian, Yu Liu |
| 2013 | IDEAL | An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes. | Yaxiong Cai, Huaping Chen, Rui Xu, Hao Shao, Xueping Li |
| 2013 | IDEAL | Gaussian Process for Transfer Learning through Minimum Encoding. | Hao Shao, Rui Xu, Feng Tao |
| 2013 | IDEAL | An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines. | Rui Xu, Huaping Chen, Hao Shao |
| 2012 | ADMA | Query by Committee in a Heterogeneous Environment. | Hao Shao, Bin Tong, Einoshin Suzuki |
| 2011 | ISMIS | A Compression-Based Dissimilarity Measure for Multi-task Clustering. | Thach Huy Nguyen, Hao Shao, Bin Tong, Einoshin Suzuki |
| 2011 | SDM | Feature-based Inductive Transfer Learning through Minimum Encoding. | Hao Shao, Einoshin Suzuki |
| 2008 | CEC | A chaotic Ant Colony Optimization method for scheduling a single batch-processing machine with non-identical job sizes. | Bayi Cheng, Huaping Chen, Hao Shao, Rui Xu, George Q. Huang |
| 2008 | ICNC | A Hybrid Ant Colony Optimization to Minimize the Total Completion Time on a Single Batch Processing Machine with Non-identical Job Sizes. | Rui Xu, Huaping Chen, Jun-Hong Zhu, Hao Shao |
| 2008 | ICNC | Minimizing Makespan for a Single Batch Processing Machine with Non-Identical Job Sizes Using Neural Nets Approach. | Hao Shao, Huaping Chen, Rui Xu, Wen-Gong Zhang |
| 2008 | ICNC | A Novel Differential Evolution Algorithm for a Single Batch-Processing Machine with Non-Identical Job Sizes. | Wen-Gong Zhang, Huaping Chen, Di Lu, Hao Shao |
| 2003 | ICIP | Fast indexing for image retrieval based on local appearance with re-ranking. | Hao Shao, Toms Svoboda, Vittorio Ferrari, Tinne Tuytelaars, Luc Van Gool |
| 1999 | ICRA | Development & Application of Wall-Climbing Robots. | Yan Wang, Shuliang Liu, Dianguo Xu, Yanzheng Zhao, Hao Shao, Xueshan Gao |