Li, Yuhang

36 publications

ICCV 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels Yuhang Li, Zhuying Li, Yuheng Jia

ICLR 2025 Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement Yuhang Li, Zhuying Li, Yuheng Jia

NeurIPS 2025 DuoGPT: Training-Free Dual Sparsity Through Activation-Aware Pruning in LLMs Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda

ICML 2025 GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

ICCV 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, Jun Zhou

ICML 2025 One Arrow, Two Hawks: Sharpness-Aware Minimization for Federated Learning via Global Model Trajectory Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li

NeurIPS 2025 OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, Joao Carreira, Priyadarshini Panda

CVPR 2025 Spiking Transformer with Spatial-Temporal Attention Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda

ICML 2025 Tensor Decomposition Based Memory-Efficient Incremental Learning Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao

AISTATS 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning Kihyuk Hong, Yuhang Li, Ambuj Tewari

ECCV 2024 A Simple Background Augmentation Method for Object Detection with Diffusion Model Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu

ECCV 2024 DG-PIC: Domain Generalized Point-in-Context Learning for Point Cloud Understanding Jincen Jiang, Qianyu Zhou, Yuhang Li, Xuequan Lu, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang

ECCV 2024 GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda

NeurIPS 2024 LaKD: Length-Agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang

ECCV 2024 One-Stage Prompt-Based Continual Learning Youngeun Kim, Yuhang Li, Priyadarshini Panda

NeurIPS 2024 PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, Xuequan Lu

AISTATS 2023 An Optimization-Based Algorithm for Non-Stationary Kernel Bandits Without Prior Knowledge Kihyuk Hong, Yuhang Li, Ambuj Tewari

AAAI 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda

NeurIPS 2023 SEENN: Towards Temporal Spiking Early Exit Neural Networks Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda

ICML 2023 Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu

TMLR 2023 Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

NeurIPS 2022 AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy

ECCV 2022 Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda

ECCV 2022 Neural Architecture Search for Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda

ECCV 2022 Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda

ICLR 2022 QDrop: Randomly Dropping Quantization for Extremely Low-Bit Post-Training Quantization Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu

ICLR 2022 Temporal Efficient Training of Spiking Neural Network via Gradient Re-Weighting Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu

NeurIPSW 2022 Wearable-Based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda

ICML 2021 A Free Lunch from ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

ICLR 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu

NeurIPS 2021 Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu

CVPR 2021 Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu

ICCV 2021 MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

ICCV 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang

ICLR 2020 Additive Powers-of-Two Quantization: An Efficient Non-Uniform Discretization for Neural Networks Yuhang Li, Xin Dong, Wei Wang

AAAI 2020 RTN: Reparameterized Ternary Network Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang