Kangye Ji (季康烨) | Tsinghua University

About Me

I received my Bachelor’s degree in Engineering at Xidian University, majoring in Computer Science and Technology. I am currently a Ph.D. student at Tsinghua University, supervised by Prof. Wang zhi. 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

Efficient AI: memory-efficient, computation-efficient, and data-efficient algorithms for training, fine-tuning, and inference
Emodied AI: vision-language-action models, diffusion polices.

Publications

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.

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Preprints

Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning

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

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Block-wise Adaptive Caching for Accelerating Diffusion Policy

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

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

Kangye Ji, Fei Cheng, Zeqing Wang, Bohu Huang

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Selected Awards

[Jun. 2025] Merit Graduate, Xidian University
[Feb. 2025] Xiaomi Top Grade Scholarship (Only 5 students in Xidian University)
[Nov. 2024] National Scholarship, China (Top 1%)
[Nov. 2024] Merit Student, Xidian University
[Dec. 2023] Xiaomi Scholarship (Only 20 students in Xidian University)
[Nov. 2023] Merit Student Pacesetter, Xidian University (Top 1%)
[Nov. 2023] Top Grade Scholarship, Xidian University (Top 1%)

Friends

Mingshuo Cai Master sutdent at Nanjing University, researching 3DVision.