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ORCIDYuhang Li 0001
Person information
- affiliation: Yale University, Department of Electrical Engineering, New Haven, CT, USA
- affiliation (2016 - 2021): University of Electronic Science and Technology of China (UESTC), Chengdu, China
Other persons with the same name
- Yuhang Li — disambiguation page
- Yuhang Li 0002
![[0009-0003-1994-8133]](https://dblp.org/img/orcid-mark.12x12.png "0009-0003-1994-8133")
— Nanjing University, Computer Science and Technology Department, State Key Laboratory for Novel Software Technology, China - Yuhang Li 0003 — University of California - Los Angeles (UCLA), Department of Electrical and Computer Engineering, California NanoSystems Institute (CNSI), CA, USA
- Yuhang Li 0004 — Guangdong University of Technology, Guangzhou, China
- Yuhang Li 0005 — Northwest Normal University, Lanzhou, China
- Yuhang Li 0006 — Zhejiang University of Technology, Shaoxing, Zhejiang, China
- Yuhang Li 0007 — Beijing Institute of Technology, Beijing, China
- Yuhang Li 0008 — Beihang University (BUAA), Beijing, China
- Yuhang Li 0009 — Hengyang Normal University, Hengyang, China
- Yuhang Li 0010 — Harbin Institute of Technology, Harbin, China
- Yuhang Li 0011 — Shanghai University, Shanghai, China
- Yuhang Li 0012 — Xi'an University of Posts and Telecommunications, China
- Yuhang Li 0013 — Shanghai Film Academy, Shanghai University, China
- Yuhang Li 0014 — Yan'an University, Shanxi, China
- Yuhang Li 0015 — Henan Technical College of Construction, Zhengzhou, China
- Yuhang Li 0016 — Chang'an University, Xi'an, China
- Yuhang Li 0017 — Jilin University, Changchun, Jilin, China
- Yuhang Li 0018 — Beijing Jiaotong University, Beijing, China
- Yuhang Li 0019 — Beijing Institute of Technology, Beijing, China
- Yuhang Li 0020 — Southwest Jiaotong University, Chengdu, Sichuan, China
- Yuhang Li 0021 — University of Macau, Macao, SAR, China
- Yuhang Li 0022 — Hangzhou Dianzi University, China
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2020 – today
- 2025
[j8]Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition. Neuromorph. Comput. Eng. 5(1): 14009 (2025)- [j7]Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo:
Pushing the Limit of Post-Training Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5556-5570 (2025) - [j6]Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8823-8837 (2025) - [j5]Qian Zhang, Chenxi Wu, Adar Kahana, George Em Karniadakis, Youngeun Kim, Yuhang Li, Priyadarshini Panda:
Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning. SIAM J. Sci. Comput. 47(3): 559- (2025) - [c30]Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda:
Spiking Transformer with Spatial-Temporal Attention. CVPR 2025: 13948-13958 - [c29]Ruokai Yin, Yuhang Li, Priyadarshini Panda:
PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. DAC 2025: 1-7 - [c28]Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda:
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration. ICML 2025 - [i45]Ruokai Yin, Yuhang Li, Priyadarshini Panda:
PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. CoRR abs/2502.18627 (2025) - [i44]Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda:
GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration. CoRR abs/2504.02692 (2025) - [i43]Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda:
Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba. CoRR abs/2506.18184 (2025) - [i42]Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda:
DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs. CoRR abs/2506.20194 (2025) - [i41]Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, João Carreira, Priyadarshini Panda:
OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. CoRR abs/2507.05427 (2025) - [i40]Donghyun Lee, Alex Sima, Yuhang Li, Panos Stinis, Priyadarshini Panda:
SpikePool: Event-driven Spiking Transformer with Pooling Attention. CoRR abs/2510.12102 (2025) - 2024
- [j4]Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu:
Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration. Int. J. Comput. Vis. 132(9): 3586-3609 (2024) - [j3]Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda:
Do we really need a large number of visual prompts? Neural Networks 177: 106390 (2024) - [j2]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2897-2907 (2024) - [c27]Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda:
MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. ASPDAC 2024: 830-835 - [c26]Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE 2024: 1-6 - [c25]Youngeun Kim, Yuhang Li, Priyadarshini Panda:
One-Stage Prompt-Based Continual Learning. ECCV (13) 2024: 163-179 - [c24]Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda:
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. ECCV (13) 2024: 216-235 - [c23]Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. ECCV (66) 2024: 462-479 - [i39]Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda:
TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR abs/2401.08001 (2024) - [i38]Youngeun Kim, Yuhang Li, Priyadarshini Panda:
One-stage Prompt-based Continual Learning. CoRR abs/2402.16189 (2024) - [i37]Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu:
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR abs/2403.19866 (2024) - [i36]Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao:
Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR abs/2407.19547 (2024) - [i35]Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR abs/2408.00350 (2024) - [i34]Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda:
When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design. CoRR abs/2408.12767 (2024) - [i33]Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. CoRR abs/2409.01564 (2024) - [i32]Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda:
Spiking Transformer with Spatial-Temporal Attention. CoRR abs/2409.19764 (2024) - [i31]Yuhang Li, Priyadarshini Panda:
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction. CoRR abs/2410.19103 (2024) - 2023
- [j1]Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. 2023 (2023) - [c22]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI 2023: 8308-8316 - [c21]Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda:
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. DAC 2023: 1-6 - [c20]Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu:
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP 2023: 1648-1665 - [c19]Cong Xu, Yuhang Li, Dae Lee, Dae Hoon Park, Hongda Mao, Huyen Do, Jonathan Chung, Dinesh Nair:
Augmentation Robust Self-Supervised Learning for Human Activity Recognition. ICASSP 2023: 1-5 - [c18]Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu:
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. ICML 2023: 7645-7657 - [c17]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys 2023 - [c16]Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda:
SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS 2023 - [i30]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR abs/2302.06746 (2023) - [i29]Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda:
SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR abs/2304.01230 (2023) - [i28]Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu:
Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR abs/2304.09145 (2023) - [i27]Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda:
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR abs/2304.13098 (2023) - [i26]Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda:
MINT: Multiplier-less Integer Quantization for Spiking Neural Networks. CoRR abs/2305.09850 (2023) - [i25]Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda:
Do We Really Need a Large Number of Visual Prompts? CoRR abs/2305.17223 (2023) - [i24]Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda:
Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. CoRR abs/2305.17346 (2023) - [i23]Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda:
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR abs/2305.18360 (2023) - [i22]Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR abs/2307.00280 (2023) - [i21]Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda:
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR abs/2308.16372 (2023) - [i20]Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda:
StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR abs/2312.05272 (2023) - 2022
- [c15]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. ECCV (24) 2022: 36-56 - [c14]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) 2022: 102-120 - [c13]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) 2022: 631-649 - [c12]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR 2022 - [c11]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR 2022 - [i19]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda:
Neural Architecture Search for Spiking Neural Networks. CoRR abs/2201.10355 (2022) - [i18]Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu:
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR abs/2202.11946 (2022) - [i17]Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu:
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR abs/2203.05740 (2022) - [i16]Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda:
Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR abs/2203.06145 (2022) - [i15]Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda:
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR abs/2203.13321 (2022) - [i14]Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu:
When Sparsity Meets Dynamic Convolution. CoRR abs/2204.02227 (2022) - [i13]Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu:
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR abs/2205.10121 (2022) - [i12]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda:
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR abs/2207.01382 (2022) - [i11]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR abs/2211.14406 (2022) - [i10]Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda:
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR abs/2212.02233 (2022) - 2021
- [c10]Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu:
Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR 2021: 15658-15667 - [c9]Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu:
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV 2021: 4390-4399 - [c8]Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang:
Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV 2021: 5320-5329 - [c7]Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu:
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. ICLR 2021 - [c6]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML 2021: 6316-6325 - [c5]Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu:
Real World Robustness from Systematic Noise. AdvM @ ACM Multimedia 2021: 42-48 - [c4]Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu:
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS 2021: 23426-23439 - [c3]Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan:
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i9]Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu:
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. CoRR abs/2102.05426 (2021) - [i8]Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu:
Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR abs/2103.01049 (2021) - [i7]Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu:
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR abs/2106.06984 (2021) - [i6]Yan Wang, Yuhang Li, Ruihao Gong:
Real World Robustness from Systematic Noise. CoRR abs/2109.00864 (2021) - [i5]Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan:
MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR abs/2111.03759 (2021) - 2020
- [c2]Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. AAAI 2020: 4780-4787 - [c1]Yuhang Li, Xin Dong, Wei Wang:
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks. ICLR 2020 - [i4]Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu:
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR abs/2003.07577 (2020) - [i3]Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu:
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR abs/2011.09899 (2020)
2010 – 2019
- 2019
- [i2]Yuhang Li, Xin Dong, Wei Wang:
Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks. CoRR abs/1909.13144 (2019) - [i1]Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang:
RTN: Reparameterized Ternary Network. CoRR abs/1912.02057 (2019)
Coauthor Index
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