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2020 – today
- 2026
[c3]Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang:
Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement. AAAI 2026: 22191-22199- [c2]Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng:
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency. AAAI 2026: 26741-26750 - [i8]Kangye Ji, Yuan Meng, Zhou Jianbo, Ye Li, Hanyun Cui, Zhi Wang:
Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning. CoRR abs/2601.12894 (2026) - 2025
- [c1]Zeqing Wang
, Fei Cheng, Kangye Ji, Bohu Huang:
LightCL: Compact Continual Learning with Low Memory Footprint For Edge Device. ASP-DAC 2025: 43-50 - [i7]Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shutao Xia, Zhi Wang, Wenwu Zhu:
SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration. CoRR abs/2506.12723 (2025) - [i6]Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Shengjia Hua, Lei Chen, Zhi Wang:
Block-wise Adaptive Caching for Accelerating Diffusion Policy. CoRR abs/2506.13456 (2025) - [i5]Yijun Liu, Yuwei Liu, Yuan Meng, Jieheng Zhang, Yuwei Zhou, Ye Li, Jiacheng Jiang, Kangye Ji, Shijia Ge, Zhi Wang, Wenwu Zhu:
Spatial Policy: Guiding Visuomotor Robotic Manipulation with Spatial-Aware Modeling and Reasoning. CoRR abs/2508.15874 (2025) - [i4]Ye Li, Jiahe Feng, Yuan Meng, Kangye Ji, Chen Tang, Xinwan Wen, Shutao Xia, Zhi Wang, Wenwu Zhu:
TS-DP: Reinforcement Speculative Decoding For Temporal Adaptive Diffusion Policy Acceleration. CoRR abs/2512.15773 (2025) - 2024
- [i3]Kangye Ji, Fei Cheng, Zeqing Wang, Bohu Huang:
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label. CoRR abs/2405.17137 (2024) - [i2]Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang:
Efficient Continual Learning with Low Memory Footprint For Edge Device. CoRR abs/2407.10545 (2024) - [i1]Zeqing Wang, Kangye Ji, Di Wang, Fei Cheng:
SAMCL: Empowering SAM to Continually Learn from Dynamic Domains. CoRR abs/2412.05012 (2024)
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