CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets. - Jiange Yang; Sheng Guo 005; Gangshan Wu; Limin Wang 002 (AAAI, 2023)

AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation. - Chuhao Jin; Wenhui Tan; Jiange Yang; Bei Liu 001; Ruihua Song; Limin Wang 002; Jianlong Fu (CoRR, 2023)

Pave the Way to Grasp Anything: Transferring Foundation Models for Universal Pick-Place Robots. - Jiange Yang; Wenhui Tan; Chuhao Jin; Bei Liu 001; Jianlong Fu; Ruihua Song; Limin Wang 002 (CoRR, 2023)

Spatiotemporal Predictive Pre-training for Robotic Motor Control. - Jiange Yang; Bei Liu 001; Jianlong Fu; Bocheng Pan; Gangshan Wu; Limin Wang 002 (CoRR, 2024)

Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning. - Jiange Yang; Haoyi Zhu; Yating Wang; Gangshan Wu; Tong He 001; Limin Wang 002 (CVPR, 2025)

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation. - Haoyi Zhu; Honghui Yang; Yating Wang; Jiange Yang; Limin Wang 002; Tong He 001 (ICLR, 2025)

Transferring Foundation Models for Generalizable Robotic Manipulation. - Jiange Yang; Wenhui Tan; Chuhao Jin; Keling Yao; Bei Liu 001; Jianlong Fu; Ruihua Song; Gangshan Wu; Limin Wang 001 (WACV, 2025)

CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning. - Jiange Yang; Yansong Shi; Haoyi Zhu; Mingyu Liu; Kaijing Ma; Yating Wang; Gangshan Wu; Tong He 001; Limin Wang 002 (CoRR, 2025)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers. - Yating Wang; Haoyi Zhu; Mingyu Liu; Jiange Yang; Haoshu Fang; Tong He 001 (CoRR, 2025)