Maohua Li

I'm a master student at Nanjing University in Suzhou, China. I'm fortunately supervised by Prof. Shao-Qun Zhang at LAMDA. Before that, I obtained my bachelor's degree from Hohai University.

Email / Scholar / Github

Experience

Alibaba Group Holding

2025.12 - Now

Platform Technology, RTP

Research intern concentrating on visual generation.

Peking University

2024.01 - 2025.05

School of Computer Science

Research intern concentrating on spiking neural networks, supervised by Prof. Zhaofei Yu.

4Paradigm

2024.10 - 2025.04

Department of Science and Technology

AI engineering intern. Ranked 1/400+ among all full-time employees and interns in Dec. 2024 and Jan. 2025.

Acacemic Services

Reviewer

NeurIPS 2025, IEEE SMC 2023, Neurocomputing

Projects

Wuli Qwen-Image Turbo

The State-of-the-Arts distillation of Qwen-Image, delivering top-tier image quality with highly efficient inference. Featured on the Hugging Face homepage.

[Open-source weights: 2-step, 4-step] [Blog (量子位)]

ComfyUI Officially Adopted

Core Member

Research

	Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers Maohua Li, Qirui Li, Yanke Zhou, Yiduo Li, Zhaosheng Chi, Chao Xu, Cuifeng Shen, Yixuan Xu, Hanlin Tang, Kan Liu, Tao Lan, Lin Qu, Shao-Qun Zhang arXiv
	Rethinking Cross-Layer Information Routing in Diffusion Transformers Chao Xu, Maohua Li, Qirui Li, Yixuan Xu, Yanke Zhou, Yunhe Li, Cuifeng Shen, Hanlin Tang, Kan Liu, Tao Lan, Lin Qu, Shao-Qun Zhang arXiv 🤗 #2 Paper of the day Blog (阿里技术)
	Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Yanke Zhou, Yiduo Li, Hanlin Tang, Maohua Li, Kan Liu, Lan Tao, Lin Qu, Yuan Yao, Xiaoxing Ma arXiv
	Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications Tong Bu, Maohua Li, Zhaofei Yu 2025 Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)
	GC-SALM: Multi-Task Runoff Prediction Using Spatial-Temporal Attention Graph Convolution Networks Jin Lu, Zaipeng Xie, Jiayu Chen, Maohua Li, Chenghong Xu, Hongli Cao 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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