Haotong Qin

Quantized Visual Geometry Grounded Transformer

QVGen: Pushing the Limit of Quantized Video Generative Models

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification

Post-Training Quantization for Video Matting

Q&C: When Quantization Meets Cache in Efficient Generation

RobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization

Progressive Binarization with Semi-Structured Pruning for LLMs

QuS: Towards High-Performance EfficientViT on FPGA by Quantization and Streamline Co-Design

DVD-Quant: Data-free Video Diffusion Transformers Quantization

PT$^2$-LLM: Post-Training Ternarization for Large Language Models

ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration

AdaSVD: Adaptive Singular Value Decomposition for Large Language Models

CLQ: Cross-Layer Guided Orthogonal-based Quantization for Diffusion Transformers

FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing

$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation

ARB-LLM: Alternating Refined Binarizations for Large Language Models

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

BiDRN: Binarized 3D Whole-body Human Mesh Recovery

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers