Author

Haotong Qin

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Aug 2026

S $^{2}$ Q-VDiT$^+$: Accurate Quantized Video Diffusion Transformer with Multi-Resolution Sampling and Structural Distillation.

Large-scale video diffusion models (V-DMs) have achieved remarkable text-to-video generation quality, yet their massive computational complexity makes deployment costly. Post-Training Quantization (PTQ) offers an appealing route to accelerate inference without retraining, but existing diffusion PTQ methods remain fragi...

Wei-Lun Feng, Chuan-Guang Yang, Haotong Qin et al. · IEEE Transactions on Pattern... · 4 citations

#diffusion models Preprint Sep 2026

DSAQuant: Denoising-Stage-Aligned Quantization-Aware Training for Video Generation

Video diffusion models (VDMs) have achieved impressive progress in text-to-video generation, but their high memory and computational costs hinder practical deployment. Quantization-aware training (QAT) is an effective solution for compressing and accelerating advanced generative models without runtime overhead at infer...

Shuai-Ting Li, Ze-Lin Gao, Haijie Shen et al. · 0 citations

Preprint Aug 2026

Teaching Foundation Models to Read mmWave: Pose-Guided Kinematic Representation for Human Behavior Understanding

Experiments on captioning, question answering, and unseen-action generalization show that mmMind consistently outperforms existing radar-language baselines, while ablations confirm the importance of pose-guided pretraining.

Duo Zhang, Zhe-Hui Yin, Zhi-Yun Yao et al. · 1 citation