CV

AI Engineer & Operator dev (Intern)

NAIE department, Huawei Nanjing Research Center

I worked in the AI Model and Training Service Group where I mainly focused on operators dev for Ascend and CANN.

• CANN
• Parallel Programming
• HPC

Student Researcher

School of Computer Science, Southeast University

Under the supervise of Professor Hao Chen and Professor Ruiting Zhou.

• Computer Vision
• Multi-modal Learning
• Accelerated Computing(e.g, ML sys)

Leader of Computer Vision Group

3SE Robot Team (RoboMaster), Southeast University

I led the R&D of my school's Robot Team in Season 2024. (Mainly on vision tasks 👁).

• RoboMaster Competition (Organized by DJI)

Volunteer

Guangzhou Huadu District Center for Disease Prevention and Control

The activity included volunteer services, Spring Festival visits and in-depth interviews. Team members assisted the elderly, collaborated with local authorities for festive outreach and we designed two new products to better assist elderly patients in their daily lives.

• First Prize in the Social Practice Competition at Southeast University (3%), Outstanding Individual Award, Outstanding Team Award
• Extensive media coverage across newspapers, television, and online news platforms, with over 42,000 total views
• Obtain authorizations for two utility model patents

Teaching Volunteer

Southeast University Education Foundation, Rongjiang No.1 Middle School

I volunteered to teach in remote and underdeveloped areas during the summer vacation, aiming to spread the knowledge and ideas to a wider region, providing support for the rural revitalization strategy with the energy of young talents.

• Nominated for the Top Ten Social Practice Awards at Southeast University
• Xinhuanet and other authoritative media have reported on this, with over 56,000 total views

Undergraduate

Southeast University, China

Major in Artificial Intelligence

• GPA 3.88 / 4.0, 91.36 / 100 (Currently)

2024 RoboMaster University Championship, Final Tournament

National First Prize (Best in school history)

As the vision group leader, I developed neural network-based object detection and tracking algorithms, ensuring accurate vision processing during competitions. Our team achieved the best results in school history.

2024 RoboMaster University Championship, Hero Robot Combat Award

National Second Prize

Awarded for outstanding performance in the Hero robot combat category.

2024 RoboMaster University Championship, Regional Competition

Provincial First Prize

Led the vision team in designing real-time vision algorithms for object recognition and tracking. Our work contributed significantly to winning the provincial first prize.

2024 RoboMaster University League, Shanghai Province

Provincial Third Prize

Responsible for vision tasks, including implementing real-time object detection and target tracking. Helped secure the provincial third prize for the team.

2023 13th China Educational Robot Competition, Regular & Challenge Seasons (As Captain)

National Special Prize & National First Prize (Champion)

As team captain, I led the team to victory by overseeing core motion control and path planning algorithm development, while managing work distribution and team coordination.

2023 RoboMaster University League, Jiangsu Province (Responsible for Motion Control)

Provincial Second Prize

As a member of the motion control team in developing advanced control strategies that secured the provincial second prize.

2022 12th China Educational Robot Competition, Regular & Challenge Seasons (As Captain)

National Special Prize & National First Prize (Champion)

As captain, I led the team to a national special prize by directing the development of motion control and path planning algorithms, guiding the team to victory.

Star of Innovation (for top 10 undergraduates)

Southeast University

National Scholarship

Ministry of Education of the People's Republic of China

Outstanding Student

Huawei Public Development Department

President’s Scholarship

Southeast University

SAPE: Efficient End-to-End Dense Representations for Event-based Learning via Spatio-Temporal Adaptive Perception in Multi-scale Temporal Context

Under Review

For more information, please refer to Publication page.

PipeNN: Energy-Efficient and Predictor-Free CPU-GPU Pipeline for Mobile DAG-DNN Inference

Under Review

For more information, please refer to Publication page.

EvAug: Integrating Hierarchical and Adaptive Spatio-Temporal Augmentations into Event-Based Data by Mimicking Real-World Object Patterns

Under Review

For more information, please refer to Publication page.

Design of an Autonomous Decision-Making Navigation and Precision Strike Robot Based on Laser SLAM and Machine Vision

As a core team member, I am responsible for robot motion control, embedded development, and part of the computer vision algorithm development. This project received an excellent rating during the conclusion acceptance defense.

• Robotics (RoboMaster)
• Machine Vision
• National Student Research Training Project

Event Information-Guided Multimodal Fusion Video Camouflage Object Detection Method

As the leading student researcher, I am responsible for the overall project development and technical solution design. I have already submitted a paper as the first author to AAAI 2025.

• Computer Vision (Event-based Vision)
• Multi-modal Learning (Event-RGB)
• Ministry of Education Key Laboratory Open Project for Young Scholars

High-Performance Heterogeneous Collaborative Computing System for Mobile CPUs and GPUs for Complex Deep Neural Networks

As the primary student researcher, I am in charge of the overall technical solution design and algorithm development. We are planning to submit our work to MobiCom 2025.

• Heterogeneous Computing
• Mobile Computing
• Student Research Training Project of Jiangsu Province

Design and Application of Motion Target Identification and Prediction Models for Low-Latency Scenarios

As a core team member, I am responsible for the development of computer vision algorithms, model training and fine-tuning, and low-latency deployment on the robots.

• Machine Vision
• Robotics (RoboMaster)
• Student Research Training Project of Jiangsu Province

Efficient OFA

As one of the primary student researcher, I am in charge of the overall technical solution design and algorithm development. We are planning to submit our work to ATC 2025 or ASPLOS 2025.

• Distributed Machine Learning
• Once for ALL (One-shot NAS)
• Device Deployment