Service Proactive Caching Based Computation Offloading for Mobile Edge Computing. - Zhaokun Zhou; Feifei Han (WCSP, 2019)

Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint. - Yuanhong Zhong; Jing Zhang 037; Xinyu Cheng; Guan Huang; Zhaokun Zhou; Zhiyong Huang 004 (EURASIP J. Image Video Process., 2019)

Dynamic Task Caching and Computation Offloading for Mobile Edge Computing. - Zhixiong Chen 003; Zhaokun Zhou (GLOBECOM, 2020)

Specific category region proposal network for text detection in natural scene. - Yuanhong Zhong; Xinyu Cheng; Zhaokun Zhou; Shun Zhang; Jing Zhang 037; Guan Huang (IET Image Process., 2020)

Recovery of image and video based on compressive sensing via tensor approximation and Spatio-temporal correlation. - Yuanhong Zhong; Jing Zhang 037; Zhaokun Zhou; Xinyu Cheng; Guan Huang; Qiang Li (Multim. Tools Appl., 2021)

Code Caching-Assisted Computation Offloading and Resource Allocation for Multi-User Mobile Edge Computing. - Zhixiong Chen 003; Zhaokun Zhou; Chen Chen 037 (IEEE Trans. Netw. Serv. Manag., 2021)

Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition. - Yuqing Wang; Zhenyu Weng; Zhaokun Zhou; Shuaijian Ji; Zhongjie Ye; Yuesheng Zhu (ICANN (4), 2022)

PRPN: Progressive region prediction network for natural scene text detection. - Yuanhong Zhong; Xinyu Cheng; Tao Chen 004; Jing Zhang 037; Zhaokun Zhou; Guan Huang (Knowl. Based Syst., 2022)

Imbalanced Conditional Conv-Transformer for Mathematical Expression Recognition. - Shuaijian Ji; Zhaokun Zhou; Yuqing Wang; Baishan Duan; Zhenyu Weng; Liang Xu; Yuesheng Zhu (ICANN (6), 2023)

Spikformer: When Spiking Neural Network Meets Transformer. - Zhaokun Zhou; Yuesheng Zhu; Chao He; Yaowei Wang 001; Shuicheng Yan; Yonghong Tian 001; Li Yuan 007 (ICLR, 2023)

TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition. - Zhaokun Zhou; Shuaijian Ji; Yuqing Wang; Zhenyu Weng; Yuesheng Zhu (IJCNN, 2023)

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Ding Chen; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (NeurIPS, 2023)

Spike-driven Transformer. - Man Yao; Jiakui Hu; Zhaokun Zhou; Li Yuan 007; Yonghong Tian 001; Bo Xu 002; Guoqi Li (NeurIPS, 2023)

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. - Chenlin Zhou; Liutao Yu; Zhaokun Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. - Wei Fang 006; Zhaofei Yu; Zhaokun Zhou; Yanqi Chen; Zhengyu Ma; Timothée Masquelier; Yonghong Tian 001 (CoRR, 2023)

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Zhengyu Ma; Huihui Zhou; Xiaopeng Fan; Yonghong Tian 001 (CoRR, 2023)

Auto-Spikformer: Spikformer Architecture Search. - Kaiwei Che; Zhaokun Zhou; Zhengyu Ma; Wei Fang 006; Yanqi Chen; Shuaijie Shen; Li Yuan 007; Yonghong Tian 001 (CoRR, 2023)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CVPR Workshops, 2024)

A Multi-modal Spiking Meta-learner with Brain-Inspired Task-Aware Modulation Scheme. - Jun Niu; Zhaokun Zhou; Kaiwei Che; Li Yuan 007 (ICANN (10), 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 001; Bo Xu 002; Guoqi Li (ICLR, 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 007 (NeurIPS, 2024)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Liwei Huang; Xiaopeng Fan; Li Yuan 007; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. - Zhaokun Zhou; Kaiwei Che; Wei Fang 006; Keyu Tian; Yuesheng Zhu; Shuicheng Yan; Yonghong Tian 001; Li Yuan 007 (CoRR, 2024)

UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark. - Zhaokun Zhou; Qiulin Wang; Bin Lin 014; Yiwei Su; Rui Chen; Xin Tao 001; Amin Zheng; Li Yuan 007; Pengfei Wan 001; Di Zhang (CoRR, 2024)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CoRR, 2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. - Chenlin Zhou; Han Zhang 025; Liutao Yu; Yumin Ye; Zhaokun Zhou; Liwei Huang; Zhengyu Ma; Xiaopeng Fan; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Spatial-Temporal Search for Spiking Neural Networks. - Kaiwei Che; Zhaokun Zhou; Li Yuan 007; Jianguo Zhang; Yonghong Tian 001; Luziwei Leng (CoRR, 2024)

HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events. - Dianze Li; Jianing Li 001; Xu Liu 006; Zhaokun Zhou; Xiaopeng Fan; Yonghong Tian 001 (CoRR, 2024)

SpikingPoint: Rethinking Point as Spike for Efficient 3D Point Cloud Analysis. - Zhaokun Zhou; Yijie Lu; Jiaqiyu Zhan; Guibo Luo; Yuesheng Zhu (ICASSP, 2025)

Spiking Transformer with Spatial-Temporal Spiking Self-Attention. - Zhaokun Zhou; Jun Niu; Yang Zhang; Li Yuan 007; Yuesheng Zhu (ICASSP, 2025)

Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. - Peng Xue; Wei Fang 006; Zhengyu Ma; Zihan Huang; Zhaokun Zhou; Yonghong Tian 001; Timothée Masquelier; Huihui Zhou (CoRR, 2025)

Spatial-Temporal Spiking Feature Pruning in Spiking Transformer. - Zhaokun Zhou; Kaiwei Che; Jun Niu; Man Yao; Guoqi Li; Li Yuan 007; Guibo Luo; Yuesheng Zhu (IEEE Trans. Cogn. Dev. Syst., 2025)

FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective. - Zhekai Zhou; Shudong Liu 008; Zhaokun Zhou; Yang Liu; Qiang Yang; Yuesheng Zhu; Guibo Luo (CoRR, 2025)