Memory-Oriented Structural Pruning for Efficient Image Restoration. - Xiangsheng Shi; Xuefei Ning; Lidong Guo; Tianchen Zhao; Enshu Liu; Yi Cai 003; Yuhan Dong; Huazhong Yang; Yu Wang 002 (AAAI, 2023)

Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 007; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (AAAI, 2023)

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. - Enshu Liu; Xuefei Ning; Zinan Lin 001; Huazhong Yang; Yu Wang 002 (ICML, 2023)

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". - Junbo Zhao 001; Xuefei Ning; Enshu Liu; Binxin Ru; Zixuan Zhou; Tianchen Zhao; Chen Chen 077; Jiajin Zhang; Qingmin Liao; Yu Wang 002 (CoRR, 2023)

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. - Tianchen Zhao; Xuefei Ning; Tongcheng Fang; Enshu Liu; Guyue Huang; Zinan Lin 001; Shengen Yan; Guohao Dai; Yu Wang 002 (ECCV (14), 2024)

Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. - Junyi Zhu 002; Zinan Lin 001; Enshu Liu; Xuefei Ning; Matthew B. Blaschko (Tiny Papers @ ICLR, 2024)

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. - Enshu Liu; Xuefei Ning; Huazhong Yang; Yu Wang 002 (ICLR, 2024)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Enshu Liu; Rui Wan; Widyadewi Soedarmadji; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Matthew B. Blaschko; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (CoRR, 2024)

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. - Enshu Liu; Junyi Zhu 002; Zinan Lin 001; Xuefei Ning; Shuaiqi Wang; Matthew B. Blaschko; Sergey Yekhanin; Shengen Yan; Guohao Dai; Huazhong Yang; Yu Wang 002 (ICLR, 2025)

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. - Enshu Liu; Xuefei Ning; Yu Wang 002; Zinan Lin 001 (ICLR, 2025)

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. - Tianchen Zhao; Tongcheng Fang; Haofeng Huang; Rui Wan; Widyadewi Soedarmadji; Enshu Liu; Shiyao Li; Zinan Lin 001; Guohao Dai; Shengen Yan; Huazhong Yang; Xuefei Ning; et al. (ICLR, 2025)

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. - Tianyu Fu 004; Yi Ge; Yichen You; Enshu Liu; Zhihang Yuan; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)