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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. Previously, I received my bachelor’s degree in Engineering at Xidian University, majoring in Computer Science and Technology. Currently, I am focused 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. AAAI
    Jump-teaching: Combating Sample Selection Bias with Temporal Disagreement
    Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang
    The Association for the Advancement of Artificial Intelligence (AAAI), 2026.
    PDF BibTex

  2. 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 BibTex Oral

  3. 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 BibTex

Preprints

  1. Test-time Sparsity for Extreme Fast Action Diffusion
    Kangye Ji, Yuan Meng, Jianbo Zhou, Ye Li, Chen Tang, Zhi Wang
    PDF

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

  3. Block-wise Adaptive Caching for Accelerating Diffusion Policy
    Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Jianbo Zhou, Shengjia Hua, Lei Chen, Zhi Wang
    PDF BibTex

Selected Awards

Friends