Zecheng Hao's Academic Homepage

Ph.D. Candidate @ PKU | Multimodal Large Language Models · Spiking Neural Networks

National Engineering Research Center for Video Technology, Peking University

💻 GitHub 🎓 Google Scholar 🔍 Semantic Scholar 🔬 ResearchGate 🆔 ORCID

🔬 Research Focus

My research explores two complementary directions: multimodal large language models (focusing on representation learning and interactive reasoning) and brain-inspired intelligence (with emphasis on spiking neural networks and efficient learning algorithms). I aim to advance efficient, generalizable, and biologically plausible AI systems through both theoretical innovation and practical deployment.

Multimodal Large Language Models (MLLMs) Spiking Neural Networks (SNNs) ANN-SNN Conversion Brain-Inspired Multimodal Models Generative Models Quantization-Aware Training & Post-Training Quantization

📚 Publications

🏆 Honors & Awards

💬 Academic Service

Active reviewer for premier international journals and conferences:

NeurIPS · ICLR · ICML · CVPR · ICCV · AAAI · ACM MM · TNNLS

✉️ Contact

📧 haozecheng@pku.edu.cn 🔍 Open to collaborations on MLLMs, SNNs and brain-inspired AI. Feel free to reach out!