About Me
I received my Bachelor’s degree in Engineering at Xidian University, majoring in Computer Science and Technology. I am an incoming Ph.D. student at Tsinghua University, supervised by Prof. Wang zhi. Currently, I am focused on building efficient Embodied AI systems. My research interests include but are not limited to efficient diffusion models for robotic control.
Education
Sep. 2021 - June. 2025, B.E in Computer Science and Technology, Xidian University
From Sep. 2025, Incoming 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.
News
- [Sep. 2024] Our paper about efficient continual learning on edge has been accepted to ASP-DAC 2025.
Publications
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ASP-DAC
Zeqing Wang, Fei Cheng, Kangye Ji, Bohu Huang
Proceedings of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2025.
Preprints
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Kangye Ji, Fei Cheng, Zeqing Wang, Bohu Huang
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 (Only 4 students in the School of C.S.)
- [Nov. 2022] The Second Prize Scholarship, Xidian University
Friends
- Mingshuo Cai Incoming master sutdent at Nanjing University, researching 3DVision.
Important Dates
- AAAI 2025 Abstracts due at July 25, 11:59 PM UTC-12
- AAAI 2025 August 1, Full papers due at 11:59 PM UTC-12
- AAAI 2025 August 4, Supplementary material and code due by 11:59 PM UTC-12