Enshu Liu - RankMe

21 papers A* 7Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	USF++: A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. IEEE Trans. Pattern Anal. Mach. Intell. Dongyun Zou, Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2025	A*	`conf`	Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. ICLR Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
2025	J	`jnl`	Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation. CoRR Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang
2025	J	`jnl`	Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification. CoRR Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin
2025	A*	`conf`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. ICLR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2025	J	`jnl`	R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. CoRR Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
2025	A*	`conf`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. ICLR Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2024	A*	`conf`	A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. ICLR Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2024	J	`jnl`	Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. CoRR Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
2024	J	`jnl`	Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	J	`jnl`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	—	`conf`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. ECCV (14) Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	J	`jnl`	MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024	—	`conf`	Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko
2024	J	`jnl`	ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
2023	J	`jnl`	A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. CoRR Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
2023	A*	`conf`	Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023	J	`jnl`	Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023	A*	`conf`	Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
2023	A*	`conf`	OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. ICML Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
2023	J	`jnl`	OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. CoRR Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang