| 2026 | AAAI | SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration. | Yang Ouyang, Zihan Cheng, Xiaotong Luo, Guoqi Li, Yanyun Qu |
| 2026 | ACL | EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models. | Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Haokun Lin, Xianlin Zeng, Guoqi Li, Jiajun Zhang |
| 2025 | AAAI | Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation. | Zhenxin Lei, Man Yao, Jiakui Hu, Xinhao Luo, Yanye Lu, Bo Xu, Guoqi Li |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | MMDEND: Dendrite-Inspired Multi-Branch Multi-Compartment Parallel Spiking Neuron for Sequence Modeling. | Kexin Wang, Yuhong Chou, Di Shang, Shijie Mei, Jiahong Zhang, Yanbin Huang, Man Yao, Bo Xu, Guoqi Li |
| 2025 | ICLR | 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 |
| 2025 | ICML | MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition. | Ning Wang, Zekun Li, Tongxin Bai, Man Yao, Zhen Qin, Guoqi Li |
| 2025 | ICML | SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and O(T) Complexity. | Shihao Zou, Qingfeng Li, Wei Ji, Jingjing Li, Yongkui Yang, Guoqi Li, Chao Dong |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network. | Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo Xu, Guoqi Li |
| 2024 | ECCV | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. | Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li |
| 2024 | ICML | 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 |
| 2023 | ECAI | Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. | Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu |
| 2023 | ICASSP | Test-Time Training-Free Domain Adaptation. | Yongxiang Feng, Weihua He, Kaichao You, Bing Liu, Ziyang Zhang, Yaoyuan Wang, Minglei Li, Yihang Lou, Jiawei Li, Guoqi Li, Jianxing Liao |
| 2023 | ICCV | Deep Directly-Trained Spiking Neural Networks for Object Detection. | Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li |
| 2023 | ICCV | Inherent Redundancy in Spiking Neural Networks. | Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li |
| 2022 | CVPR | Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. | Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li |
| 2022 | DATE | Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. | Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie |
| 2022 | IJCAI | 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 |
| 2021 | AAAI | Going Deeper With Directly-Trained Larger Spiking Neural Networks. | Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li |
| 2021 | ICCV | Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. | Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li |
| 2021 | IJCAI | Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. | Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei |
| 2020 | ICCAD | fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU. | Zhaodong Chen, Mingyu Yan, Maohua Zhu, Lei Deng, Guoqi Li, Shuangchen Li, Yuan Xie |
| 2020 | IJCAI | ARLIF: A Flexible and Efficient Recurrent Neuronal Model for Sequential Tasks. | Daiheng Gao, Zhenzhi Wu, Yujie Wu, Guoqi Li, Jing Pei |
| 2019 | AAAI | Direct Training for Spiking Neural Networks: Faster, Larger, Better. | Yujie Wu, Lei Deng, Guoqi Li, Jun Zhu, Yuan Xie, Luping Shi |
| 2019 | ICLR | Dynamic Sparse Graph for Efficient Deep Learning. | Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie |
| 2019 | IJCNN | Deep Spiking Neural Network with Spike Count based Learning Rule. | Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li |
| 2018 | ICLR | Training and Inference with Integers in Deep Neural Networks. | Shuang Wu, Guoqi Li, Feng Chen, Luping Shi |
| 2017 | GLOBECOM | Energy Generation Scheduling in Microgrids Involving Temporal-Correlated Renewable Energy. | Ran Wang, Gaoxi Xiao, Ping Wang, Yue Cao, Guoqi Li, Jie Hao, Kun Zhu |
| 2017 | QRS | A Fault Diagnosis Expert System for Flight Control Software Based on SFMEA and SFTA. | Yuanxun Shao, Bin Liu, Guoqi Li, Ran Yan |
| 2014 | ICARCV | Min-max discriminant analysis based on gradient method for feature extraction. | Jie Ding, Guoqi Li, Changyun Wen, Chin-Seng Chua |
| 2014 | ICARCV | Support vector machine based liver cancer early detection using magnetic resonance images. | Lei Meng, Changyun Wen, Guoqi Li |
| 2013 | CIDM | Revised online learning with kernels for classification and regression. | Guoqi Li, Ning Ning, Kiruthika Ramanathan, Luping Shi |
| 2012 | CIS | Fault Model Libraries for Safety Analysis and their Ontology-based Reuse. | Juguo Wang, Yun Pu, Guoqi Li |
| 2012 | ISSRE | Ontology-Based Reuse of Failure Modes for FMEA: Methodology and Tool. | Guoqi Li |
| 2011 | CIS | FTA Based Runtime Evaluation of System Reliability for Autonomous Unmanned Vehicle. | Guoqi Li |
| 2010 | CIS | A Scenario-Based Architecture for Reliability Design of Artificial Intelligent Software. | Juguo Wang, Guoqi Li, Yun Pu |
| 2010 | ICARCV | Identification of Wiener systems based on fixed point theory. | Guoqi Li, Changyun Wen |
| 2009 | CIS | A Formal Method Based Case Study for Access Control. | Guoqi Li, Yang Xiao, Minyan Lu, Yuchao Zhang |
| 2007 | PAKDD | Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement. | Guoqi Li, Huanye Sheng |