| Post-training Quantization on Diffusion Models Y Shang, Z Yuan, B Xie, B Wu, Y Yan CVPR, 2023 | 140 | 2023 |
| Rptq: Reorder-based post-training quantization for large language models Z Yuan, L Niu, J Liu, W Liu, X Wang, Y Shang, G Sun, Q Wu, J Wu, B Wu arXiv preprint arXiv:2304.01089, 2023 | 75 | 2023 |
| Llava-prumerge: Adaptive token reduction for efficient large multimodal models Y Shang, M Cai, B Xu, YJ Lee, Y Yan arXiv preprint arXiv:2403.15388, 2024 | 62 | 2024 |
| LLM Inference Unveiled: Survey and Roofline Model Insights Z Yuan*, Y Shang*, Y Zhou*, Z Dong, C Xue, B Wu, Z Li, Q Gu, YJ Lee, ... arXiv preprint arXiv:2402.16363, 2024 | 51 | 2024 |
| Pb-llm: Partially binarized large language models Y Shang, Z Yuan, Q Wu, Z Dong ICLR, 2024 | 47 | 2024 |
| Lipschitz Continuity Guided Knowledge Distillation Y Shang, B Duan, Z Zong, L Nie, Y Yan ICCV, 2021 | 36 | 2021 |
| ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models Z Yuan*, Y Shang*, Y Song, Q Wu, Y Yan, G Sun arXiv preprint arXiv:2312.05821, 2023 | 30 | 2023 |
| Network Binarization via Contrastive Learning Y Shang, X Dan, Z Zong, L Nie, Y Yan ECCV, 2022 | 30 | 2022 |
| Lipschitz Continuity Retained Binary Neural Network Y Shang, X Dan, B Duan, Z Zong, L Nie, Y Yan ECCV, 2022 | 24 | 2022 |
| Quest: Low-bit diffusion model quantization via efficient selective finetuning H Wang, Y Shang, Z Yuan, J Wu, J Yan, Y Yan arXiv preprint arXiv:2402.03666, 2024 | 13 | 2024 |
| MIM4DD: Mutual Information Maximization for Dataset Distillation Y Shang, Z Yuan, Y Yan NeurIPS, 2023 | 13 | 2023 |
| Enhancing Post-training Quantization Calibration through Contrastive Learning Y Shang, G Liu, RR Kompella, Y Yan CVPR, 2024 | 9 | 2024 |
| Temporalbench: Benchmarking fine-grained temporal understanding for multimodal video models M Cai, R Tan, J Zhang, B Zou, K Zhang, F Yao, F Zhu, J Gu, Y Zhong, ... arXiv preprint arXiv:2410.10818, 2024 | 8* | 2024 |
| PTQ4DiT: Post-training Quantization for Diffusion Transformers J Wu*, H Wang*, Y Shang, M Shah, Y Yan NeurIPS, 2024 | 8 | 2024 |
| A closer look at time steps is worthy of triple speed-up for diffusion model training K Wang, M Shi, Y Zhou, Z Li, Z Yuan, Y Shang, X Peng, H Zhang, Y You arXiv preprint arXiv:2405.17403, 2024 | 4 | 2024 |
| Causal-DFQ: Causality Guided Data-free Network Quantization Y Shang, B Xu, G Liu, R Kompella, Y Yan ICCV, 2023 | 4 | 2023 |
| Network specialization via feature-level knowledge distillation G Liu, Y Shang, Y Yao, R Kompella CVPR-W, 2023 | 4 | 2023 |
| Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner Y Shang, B Xu, W Kang, M Cai, Y Li, Z Wen, Z Dong, K Keutzer, YJ Lee, ... arXiv preprint arXiv:2409.12963, 2024 | 3 | 2024 |
| Dataset Quantization with Active Learning based Adaptive Sampling Z Zhao, Y Shang, J Wu, Y Yan ECCV, 2024 | 3 | 2024 |
| Adaptive cross-architecture mutual knowledge distillation J Ni, H Tang, Y Shang, B Duan, Y Yan 2024 IEEE 18th International Conference on Automatic Face and Gesture …, 2024 | 3 | 2024 |
Yan YanUniversity of Illinois ChicagoVerified email at uic.edu
