Chen Tang

8

Papers

77

Total Citations

Papers (8)

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

EVOS: Efficient Implicit Neural Training via EVOlutionary Selector

DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

Model Lineage Closeness Analysis

JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration

Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning