MS-GCN: Multi-Stream Graph Convolution Network for Driver Head Pose Estimation. - Yaokun Li; Yuezhao Yu; Yu-Liang Liu; Chao Gou (ITSC, 2022)

PIT: Progressive Interaction Transformer for Pedestrian Crossing Intention Prediction. - Yuchen Zhou 002; Guang Tan; Rui Zhong; Yaokun Li; Chao Gou (IEEE Trans. Intell. Transp. Syst., 2023)

SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation. - Haoxiang Hu; Cangjun Gao; Yaokun Li; Xiaoming Deng 001; Yu-Kun Lai; Cuixia Ma; Yong-Jin Liu 001; Hongan Wang (AAAI, 2024)

BiLSTM-KAN: A Time Series-based Traffic Flow Forecasting Model. - Yao Chen; Shaorong Li; Na Zhao 006; Runze Zheng; Yaokun Li (ICCPR, 2024)

Taming Uncertainty in Sparse-view Generalizable NeRF via Indirect Diffusion Guidance. - Yaokun Li; Chao Gou; Guang Tan (CoRR, 2024)

IE-NeRF: Inpainting Enhanced Neural Radiance Fields in the Wild. - Shuaixian Wang; Haoran Xu 004; Yaokun Li; Jiwei Chen; Guang Tan (CoRR, 2024)

Cascaded Iterative Transformer for Jointly Predicting Facial Landmark, Occlusion Probability and Head Pose. - Yaokun Li; Guang Tan; Chao Gou (Int. J. Comput. Vis., 2024)

Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction. - Haoran Xu 004; Peixi Peng; Xinyi Zhang; Guang Tan; Yaokun Li; Shuaixian Wang; Luntong Li (AAAI, 2025)

Sketch-Guided Scene-Level Image Editing with Diffusion Models. - Ran Zuo; Haoxiang Hu; Xiaoming Deng 001; Yaokun Li; Yu-Kun Lai; Cuixia Ma; Yong-Jin Liu 001; Hongan Wang (CVM (2), 2025)

ID-NeRF: Indirect diffusion-guided neural radiance fields for generalizable view synthesis. - Yaokun Li; Shuaixian Wang; Guang Tan (Expert Syst. Appl., 2025)

IE-NeRF: Exploring transient mask inpainting to enhance neural radiance fields in the wild. - Shuaixian Wang; Haoran Xu 004; Yaokun Li; Jiwei Chen; Guang Tan (Neurocomputing, 2025)

From One to More: Contextual Part Latents for 3D Generation. - Shaocong Dong; Lihe Ding; Xiao Chen; Yaokun Li; Yuxin Wang; Yucheng Wang; Qi Wang; Jaehyeok Kim; Chenjian Gao; Zhanpeng Huang; Zibin Wang; Tianfan Xue; et al. (CoRR, 2025)