Kangye Ji

According to our database, Kangye Ji authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models.

Ye Li, Huanan Liu, Kangye Ji, Yuan Meng, Jiajun Fan, Yuansong Wang, Shiyu Qin, Chenglei Wu, Shu-Tao Xia, Zhi Wang

CoRR, May, 2026

Test-time Sparsity for Extreme Fast Action Diffusion.

Kangye Ji, Yuan Meng, Jianbo Zhou, Ye Li, Chen Tang, Zhi Wang

CoRR, May, 2026

RoboStream: Weaving Spatio-Temporal Reasoning with Memory in Vision-Language Models for Robotics.

Yuzhi Huang, Jie Wu, Weijue Bu, Ziyi Xiong, Gaoyang Jiang, Ye Li, Kangye Ji, Shuzhao Xie, Yue Huang, Chenglei Wu, Jingyan Jiang, Zhi Wang

CoRR, March, 2026

Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning.

Kangye Ji, Yuan Meng, Zhou Jianbo, Ye Li, Hanyun Cui, Zhi Wang

CoRR, January, 2026

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency.

Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement.

Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Acceleration.

Ye Li, Jiahe Feng, Yuan Meng, Kangye Ji, Chen Tang, Xinwan Wen, Shutao Xia, Zhi Wang, Wenwu Zhu

CoRR, December, 2025

Spatial Policy: Guiding Visuomotor Robotic Manipulation with Spatial-Aware Modeling and Reasoning.

Yijun Liu, Yuwei Liu, Yuan Meng, Jieheng Zhang, Yuwei Zhou, Ye Li, Jiacheng Jiang, Kangye Ji, Shijia Ge, Zhi Wang, Wenwu Zhu

CoRR, August, 2025

Block-wise Adaptive Caching for Accelerating Diffusion Policy.

Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Shengjia Hua, Lei Chen, Zhi Wang

CoRR, June, 2025

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration.

Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shutao Xia, Zhi Wang, Wenwu Zhu

CoRR, June, 2025

LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device.

Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains.

Zeqing Wang, Kangye Ji, Di Wang, Fei Cheng

CoRR, 2024

Efficient Continual Learning with Low Memory Footprint For Edge Device.

Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang

CoRR, 2024

Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label.

Kangye Ji, Fei Cheng, Zeqing Wang, Bohu Huang

CoRR, 2024