Hi Guys! 👋

I am currently working as a Research Assistent Intern in HKUST(GZ) PEAK Lab, under the supervision of Prof. ChangHao Chen. I am also pursuing a Master’s degree in Electrical and Computer Engineering at Johns Hopkins University, under the supervision of Prof. Laureano Moro Velazquez 🎓. I received my Bachelor’s degree in Computer Science and Technology from Northeast Forestry University under the guidance of Prof. Mingyu Ji 🎓.

I am also honored to collaborate with Dr. Siteng Huang from DAMO Academy and PhD candidate Yuhang Han from NWPU 🤝. My research interests include Artificial Intelligence Generated Content 🤖, Efficient Model Inference ⚡, Artificial Intelligence for Healthcare 🏥, and Object Detection 🔍.

News 📰

2025.05.08: So honored to join in PEAK Lab @ HKUST(GZ), under the supervision of Prof. Changhao Chen.

2025.03.08: Our latest work, “Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration”, has been submitted to ICCV25 🚀.

2024.06.15: Just graduated from NEFU, and I would continue to study for a master’s degree @ Johns Hopkins University, Wish me good Luck 🎉.

2023.12.10: Our paper Identification of Forest Insects Based on Machine Learning has been accepted by Journal of Physics: Conference Series (2366(1), 012043)) 🎉.

2023.06.15: Our College Student Innovation Training Program Project, Small Sample Forestry Pest Recognition Based on Deep Learning, successfully passed its defense with an “Excellent” rating 🎉.

Publications 📚

Conference

• Identification of Forest Insects Based on Machine Learning, accepted by Journal of Physics: Conference Series (2366(1), 012043) (2023.12.10).

Under Review & Preprints

• Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration, submitted to ICCV25 (2025.03.08).

Feel free to explore my GitHub repositories where I share my projects, research, and innovations.