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About Me

I am an undergraduate in Computer Science and Technology at China University of Geosciences (Wuhan), and an incoming Ph.D. student at the School of Computer Science, Peking University, starting in Fall 2027. I currently work as a research intern in IF-Lab under the supervision of Prof. Xiang Chen.

I build efficient systems for Physical AI. My current work asks a simple question: how can vision-language-action, vision-language-navigation, and world-action models run fast enough, reliably enough, and efficiently enough for real robots? I explore speculative decoding, token caching, sparse computation, and edge-cloud collaboration from algorithm design to runtime implementation.

In the long run, I am interested in the system bottlenecks behind long-horizon reasoning, physical consistency, and closed-loop robot control. 🤝 I am always happy to discuss research and open-source collaboration in embodied AI systems, efficient inference, and related infrastructure. If our interests overlap, feel free to email me.

Conference Reviewer: AAAI 2027IJCNN 2027ICCAD 2027.

大鱼 周深
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Education

Experience

News

Aug. 2026

I will join the School of Computer Science at Peking University as a Ph.D. student in Fall 2027.

2026

KERV was accepted by DAC 2026.

2026

APEX-SAM was accepted by MICCAI 2026.

2026

RAP was accepted by IJCNN 2026.

Jul. 2026

Our differential-evolution poster paper was published in the GECCO 2026 Companion.

Honors

2026

Excellent Poster Paper Award, FJSP-DUET

Funding

2024–2025

BYD Scholarship · Scholarship Support

China University of Geosciences (Wuhan)

Publications

Published & Accepted

Preprints

[Google Scholar full list]

Patents

To be added after public verification.

Open Source

KERV Core Contributor

Core contributor to the open-source implementation of kinematic-rectified speculative decoding for embodied VLA models, including project presentation, figure cleanup, and contributor metadata.

GitHub stars

RoboECC Core Contributor

Core contributor to the open-source edge-cloud collaborative deployment framework for VLA models, covering multi-factor-aware partitioning and online deployment adjustment.

GitHub stars

CUG Template Creator & Maintainer

Creator and maintainer of an unofficial template collection for China University of Geosciences (Wuhan), covering PowerPoint, Beamer, Word, and LaTeX reports and thesis defenses.

GitHub stars

RoboNix Ecosystem Core Contributor

Core contributor to the embodied AI operating system, with four merged upstream pull requests covering unchanged-scene VLM inference reuse and service publication in the RoboNix package catalog.

GitHub stars

Experience Memory and Reuse Skill RoboNix Skill

Experience-memory retrieval and verified action reuse for OpenVLA and π0, with policy fallback for safe online execution.

GitHub stars

Memory Action Retrieval Service RoboNix Service

A deployable, provenance-aware service that turns embodied execution history into reusable candidate action trajectories.

GitHub stars

Competitions

2026

Meritorious Winner, Mathematical Contest in Modeling

2025

First Prize, National University Physics Experiment Competition

2025

Bronze Medal, ICPC Asia Nanjing Regional Contest

2025

Bronze Medal, ICPC Asia Chengdu Regional Contest

2025

National Second Prize, RoboCup China, Advanced Robot Vision 3D Recognition

2025

National Team Second Prize, Group Programming Ladder Tournament

2025

First Prize, Hubei Mathematical Contest in Modeling

2024

National First Prize, RAICom, Machine Vision System Innovation

2024

National Third Prize, Lanqiao Cup C/C++ Programming, University Group A

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