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Kangye Ji (季康烨)

Ph.D. Student
Tsinghua University
kangyejics@gmail.com


About Me

I am a Ph.D. student at Tsinghua University, supervised by Prof. Wang Zhi, and a member of the Efficient Deep Learning and Embodiment Group. I received my bachelor’s degree in Computer Science and Technology from Xidian University. My current research focuses on building efficient Embodied AI systems.

Education

Sep. 2021 - June. 2025, B.E in Computer Science and Technology, Xidian University
From Sep. 2025, Ph.D. in Computer Science and Technology, MMLab@SIGS, Tsinghua University

Research Interests

Publications

  1. CVPR
    Test-time Sparsity for Extreme Fast Action Diffusion
    Kangye Ji, Yuan Meng, Jianbo Zhou, Ye Li, Chen Tang, Zhi Wang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
    PDF

  2. ICLR
    Block-wise Adaptive Caching for Accelerating Diffusion Policy
    Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Jianbo Zhou, Shengjia Hua, Lei Chen, Zhi Wang
    International Conference on Learning Representations (ICLR), 2026.
    PDF Code Project Page BibTex

  3. ICLR
    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
    International Conference on Learning Representations (ICLR), 2026.
    PDF BibTex

  4. AAAI
    Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement
    Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang
    The Association for the Advancement of Artificial Intelligence (AAAI), 2026.
    PDF Code BibTex

  5. AAAI
    SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency
    Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng
    The Association for the Advancement of Artificial Intelligence (AAAI), 2026.
    PDF Code BibTex Oral

  6. ASP-DAC
    Efficient Continual Learning with Low Memory Footprint For Edge Device
    Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang
    Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
    PDF Code BibTex

Preprints

  1. Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning
    Kangye Ji, Yuan Meng, Jianbo Zhou, Ye Li, Hanyun Cui, Zhi Wang
    PDF Project Page

Projects

  1. VLA-Lab
    A toolkit for tracking and visualizing the real-world deployment process of VLA models. Debug, visualize, and analyze your VLA deployments with unified logging and interactive visualization.
    GitHub

Selected Awards

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