Yuhang Li - RankMe

83 papers A* 18A 1B 1Misc 1Journal 53Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning. SIAM J. Sci. Comput. Qian Zhang, Chenxi Wu, Adar Kahana, George Em Karniadakis, Youngeun Kim, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs. CoRR Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda
2025	A*	`conf`	GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration. ICML Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration. CoRR Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba. CoRR Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts. CoRR Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, João Carreira, Priyadarshini Panda
2025	A*	`conf`	PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. DAC Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	PacQ: A SIMT Microarchitecture for Efficient Dataflow in Hyper-asymmetric GEMMs. CoRR Ruokai Yin, Yuhang Li, Priyadarshini Panda
2025	J	`jnl`	Pushing the Limit of Post-Training Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo
2025	J	`jnl`	ReSpike: residual frames-based hybrid spiking neural networks for efficient action recognition. Neuromorph. Comput. Eng. Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2025	J	`jnl`	SpikePool: Event-driven Spiking Transformer with Pooling Attention. CoRR Donghyun Lee, Alex Sima, Yuhang Li, Panos Stinis, Priyadarshini Panda
2025	A*	`conf`	Spiking Transformer with Spatial-Temporal Attention. CVPR Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda
2025	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2024	—	`conf`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. ECCV (66) Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	Do we really need a large number of visual prompts? Neural Networks Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2024	J	`jnl`	Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration. Int. J. Comput. Vis. Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
2024	—	`conf`	GenQ: Quantization in Low Data Regimes with Generative Synthetic Data. ECCV (13) Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda
2024	J	`jnl`	Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
2024	B	`conf`	MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. ASPDAC Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2024	—	`conf`	One-Stage Prompt-Based Continual Learning. ECCV (13) Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	One-stage Prompt-based Continual Learning. CoRR Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition. CoRR Shiting Xiao, Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2024	J	`jnl`	Spiking Transformer with Spatial-Temporal Attention. CoRR Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda
2024	A	`conf`	TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. DATE Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. CoRR Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2024	J	`jnl`	TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction. CoRR Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	When In-memory Computing Meets Spiking Neural Networks - A Perspective on Device-Circuit-System-and-Algorithm Co-design. CoRR Abhishek Moitra, Abhiroop Bhattacharjee, Yuhang Li, Youngeun Kim, Priyadarshini Panda
2024	J	`jnl`	Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2023	J	`jnl`	Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
2023	Misc	`conf`	Augmentation Robust Self-Supervised Learning for Human Activity Recognition. ICASSP Cong Xu, Yuhang Li, Dae Lee, Dae Hoon Park, Hongda Mao, Huyen Do, Jonathan Chung, Dinesh Nair
2023	J	`jnl`	Do We Really Need a Large Number of Visual Prompts? CoRR Youngeun Kim, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2023	A*	`conf`	Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2023	A*	`conf`	Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. DAC Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
2023	J	`jnl`	Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. CoRR Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda
2023	J	`jnl`	MINT: Multiplier-less Integer Quantization for Spiking Neural Networks. CoRR Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda
2023	A*	`conf`	Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	A*	`conf`	SEENN: Towards Temporal Spiking Early Exit Neural Networks. NeurIPS Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	SEENN: Towards Temporal Spiking Early-Exit Neural Networks. CoRR Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda
2023	J	`jnl`	Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda
2023	J	`jnl`	StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data. CoRR Yuhang Li, Youngeun Kim, Donghyun Lee, Priyadarshini Panda
2023	A*	`conf`	Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. ICML Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu
2023	—	`conf`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. CoRR Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient. Trans. Mach. Learn. Res. Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda
2023	J	`jnl`	Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda
2022	J	`jnl`	Addressing Client Drift in Federated Continual Learning with Adaptive Optimization. CoRR Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda
2022	J	`jnl`	Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration. CoRR Yuhang Li, Shikuang Deng, Xin Dong, Shi Gu
2022	—	`conf`	Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. ECCV (12) Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022	J	`jnl`	Exploring Lottery Ticket Hypothesis in Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda
2022	J	`jnl`	Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda
2022	—	`conf`	Neural Architecture Search for Spiking Neural Networks. ECCV (24) Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022	J	`jnl`	Neural Architecture Search for Spiking Neural Networks. CoRR Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda
2022	—	`conf`	Neuromorphic Data Augmentation for Training Spiking Neural Networks. ECCV (7) Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022	J	`jnl`	Neuromorphic Data Augmentation for Training Spiking Neural Networks. CoRR Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda
2022	A*	`conf`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
2022	J	`jnl`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
2022	A*	`conf`	Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. ICLR Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
2022	J	`jnl`	Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. CoRR Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu
2022	J	`jnl`	Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. CoRR Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda
2022	J	`jnl`	When Sparsity Meets Dynamic Convolution. CoRR Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu
2021	A*	`conf`	A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. ICML Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
2021	J	`jnl`	A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. CoRR Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu
2021	A*	`conf`	BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. ICLR Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
2021	J	`jnl`	BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. CoRR Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
2021	A*	`conf`	Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. NeurIPS Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu
2021	A*	`conf`	Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	J	`jnl`	Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	—	`conf`	MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. NeurIPS Datasets and Benchmarks Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
2021	J	`jnl`	MQBench: Towards Reproducible and Deployable Model Quantization Benchmark. CoRR Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan
2021	A*	`conf`	MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. ICCV Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu
2021	A*	`conf`	Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. ICCV Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang
2021	—	`conf`	Real World Robustness from Systematic Noise. AdvM @ ACM Multimedia Yan Wang, Yuhang Li, Ruihao Gong, Tianzi Xiao, Fengwei Yu
2021	J	`jnl`	Real World Robustness from Systematic Noise. CoRR Yan Wang, Yuhang Li, Ruihao Gong
2020	A*	`conf`	Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks. ICLR Yuhang Li, Xin Dong, Wei Wang
2020	J	`jnl`	Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
2020	J	`jnl`	Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization. CoRR Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu
2020	A*	`conf`	RTN: Reparameterized Ternary Network. AAAI Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
2019	J	`jnl`	Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks. CoRR Yuhang Li, Xin Dong, Wei Wang
2019	J	`jnl`	RTN: Reparameterized Ternary Network. CoRR Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang