ML Anthology

Li, Guoqi

36 publications

ICLR 2026 Adaptive Hopfield Network: Rethinking Similarities in Associative Memory Shurong Wang, Yuqi Pan, Zhuoyang Shen, Meng Zhang, Hongwei Wang, Guoqi Li
ICLR 2026 Autoregressive Image Generation with Randomized Parallel Decoding Haopeng Li, Jinyue Yang, Guoqi Li, Huan Wang
ICLR 2026 Householder-Diagonalized Linear Attention (HDLA): Utilizing Enhanced Decay Mechanism for Efficient Sequence Modeling Jiefu Zhang, Zhen Qin, Jiabo Tong, Shijie Mei, JiaKui Hu, Yuqi Pan, Anjie Hu, Man Yao, Bo Xu, Guoqi Li
ICLR 2026 SMixer: Rethinking Efficient-Training and Event-Driven SNNs Yijie Lu, Xinhao Luo, Yixing Zhang, Zhiyan Wang, Wentao Li, YanhanWang, Zhi Liu, Zhaokun Zhou, Guoqi Li
ICLR 2026 Scaling Linear Attention Capacity with Sparse State Expansion Yuqi Pan, Yongqi An, Zheng Li, Yuhong Chou, Rui-Jie Zhu, Xiaohui Wang, Mingxuan Wang, Jinqiao Wang, Guoqi Li
TMLR 2026 SpikingBrain: Spiking Brain-Inspired Large Models Yuqi Pan, Yupeng Feng, JingHao Zhuang, Siyu Ding, Han Xu, Zehao Liu, Bohan Sun, Yuhong Chou, Xuerui Qiu, Anlin Deng, Anjie Hu, Shurong Wang, Peng Zhou, Man Yao, Jibin Wu, Jian Yang, 孙国梁, Bo Xu, Guoqi Li
AAAI 2025 BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu
AAAI 2025 Efficient 3D Recognition with Event-Driven Spike Sparse Convolution Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li
NeurIPS 2025 MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks Dengfeng Xue, Wenjuan Li, Yifan Lu, Chunfeng Yuan, Yufan Liu, Wei Liu, Man Yao, Li Yang, Guoqi Li, Bing Li, Stephen Maybank, Weiming Hu, Zhetao Li
ICML 2025 MVA: Linear Attention with High-Order Query-Keys Integration and Multi-Level Vocabulary Decomposition Wang Ning, Zekun Li, Tongxin Bai, Man Yao, Zhen Qin, Guoqi Li
AAAI 2025 Spike2Former: Efficient Spiking Transformer for High-Performance Image Segmentation Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu, Guoqi Li
ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-Based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang
ICML 2025 SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity Shihao Zou, Qingfeng Li, Wei Ji, Jingjing Li, Yongkui Yang, Guoqi Li, Chao Dong
AAAI 2024 Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li
AAAI 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian
ICML 2024 High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li
ECCV 2024 Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-Performance and Energy-Efficient Object Detection Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li
NeurIPS 2024 MetaLA: Unified Optimal Linear Approximation to SoftMax Attention mAP Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Ruijie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li
ICLR 2024 Spike-Driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-Generation Neuromorphic Chips Man Yao, JiaKui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li
TMLR 2024 SpikeGPT: Generative Pre-Trained Language Model with Spiking Neural Networks Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian
ICML 2024 SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li
NeurIPS 2024 Spiking Transformer with Experts Mixture Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan
ICCV 2023 Deep Directly-Trained Spiking Neural Networks for Object Detection Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li
ECML-PKDD 2023 Filtered Observations for Model-Based Multi-Agent Reinforcement Learning Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu
ICCV 2023 Inherent Redundancy in Spiking Neural Networks Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li
NeurIPS 2023 Spike-Driven Transformer Man Yao, JiaKui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li
CVPR 2022 Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li
IJCAI 2022 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie
IJCAI 2021 Exploiting Spiking Dynamics with Spatial-Temporal Feature Normalization in Graph Learning Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
AAAI 2021 Going Deeper with Directly-Trained Larger Spiking Neural Networks Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li
ICCV 2021 Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhaoxu Yang, Guoqi Li
NeurIPS 2020 Restoring Negative Information in Few-Shot Object Detection Yukuan Yang, Fangyun Wei, Miaojing Shi, Guoqi Li
AAAI 2019 Direct Training for Spiking Neural Networks: Faster, Larger, Better Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi
ICLR 2019 Dynamic Sparse Graph for Efficient Deep Learning Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
NeurIPS 2018 HitNet: Hybrid Ternary Recurrent Neural Network Peiqi Wang, Xinfeng Xie, Lei Deng, Guoqi Li, Dongsheng Wang, Yuan Xie
ICLR 2018 Training and Inference with Integers in Deep Neural Networks Shuang Wu, Guoqi Li, Feng Chen, Luping Shi