An HOG-CT human detector with histogram-based search. - Jianhao Ding; Yigang Wang; Weidong Geng (Multim. Tools Appl., 2013)

System Design of ATSC3.0 Broadcast Gateway Based on CPU-FPGA. - Jianhao Ding; Shuai Xiong; Yifan Liu; Dazhi He; Wenjun Zhang 001; Kaikai Wang (VTC Fall, 2018)

An adaptive control momentum method as an optimizer in the cloud. - Jianhao Ding; Lansheng Han; Dan Li 012 (Future Gener. Comput. Syst., 2018)

A Fixed point view: A Model-Based Clustering Framework. - Jianhao Ding; Lansheng Han (CoRR, 2020)

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. - Jianhao Ding; Zhaofei Yu; Yonghong Tian 001; Tiejun Huang 001 (IJCAI, 2021)

Optimized Potential Initialization for Low-Latency Spiking Neural Networks. - Tong Bu; Jianhao Ding; Zhaofei Yu; Tiejun Huang 001 (AAAI, 2022)

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. - Tong Bu; Wei Fang 006; Jianhao Ding; Penglin Dai; Zhaofei Yu; Tiejun Huang 001 (ICLR, 2022)

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. - Jianhao Ding; Tong Bu; Zhaofei Yu; Tiejun Huang 001; Jian K. Liu (NeurIPS, 2022)

Temporal Effective Batch Normalization in Spiking Neural Networks. - Chaoteng Duan; Jianhao Ding; Shiyan Chen; Zhaofei Yu; Tiejun Huang 001 (NeurIPS, 2022)

Reducing ANN-SNN Conversion Error through Residual Membrane Potential. - Zecheng Hao; Tong Bu; Jianhao Ding; Tiejun Huang 001; Zhaofei Yu (AAAI, 2023)

3D Scene Modeling Method based on Sparse Representation. - Guishan Xiang; Yong Liang; Jianhao Ding; Zhijie Lin (APIT, 2023)

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. - Tong Bu; Jianhao Ding; Zecheng Hao; Zhaofei Yu (CVPR, 2023)

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. - Zecheng Hao; Jianhao Ding; Tong Bu; Tiejun Huang 001; Zhaofei Yu (ICLR, 2023)

SpikeCV: Open a Continuous Computer Vision Era. - Yajing Zheng; Jiyuan Zhang; Rui Zhao 010; Jianhao Ding; Shiyan Chen; Ruiqin Xiong; Zhaofei Yu; Tiejun Huang 001 (CoRR, 2023)

Spike timing reshapes robustness against attacks in spiking neural networks. - Jianhao Ding; Zhaofei Yu; Tiejun Huang 001; Jian K. Liu (CoRR, 2023)

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. - Wei Fang 006; Yanqi Chen; Jianhao Ding; Zhaofei Yu; Timothée Masquelier; Ding Chen; Liwei Huang; Huihui Zhou; Guoqi Li; Yonghong Tian 001 (CoRR, 2023)

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. - Jianhao Ding; Zhaofei Yu; Tiejun Huang 001; Jian K. Liu (AAAI, 2024)

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. - Yujia Liu 005; Chenxi Yang; Dingquan Li; Jianhao Ding; Tingting Jiang 001 (CVPR, 2024)

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. - Xinyu Shi; Jianhao Ding; Zecheng Hao; Zhaofei Yu (ICLR, 2024)

Online Stabilization of Spiking Neural Networks. - Yaoyu Zhu; Jianhao Ding; Tiejun Huang 001; Xiaodong Xie; Zhaofei Yu (ICLR, 2024)

Robust Stable Spiking Neural Networks. - Jianhao Ding; Zhiyu Pan; Yujia Liu 005; Zhaofei Yu; Tiejun Huang 001 (ICML, 2024)

Enhancing Adversarial Robustness in SNNs with Sparse Gradients. - Yujia Liu 005; Tong Bu; Jianhao Ding; Zecheng Hao; Tiejun Huang 001; Zhaofei Yu (ICML, 2024)

Towards High-performance Spiking Transformers from ANN to SNN Conversion. - Zihan Huang; Xinyu Shi; Zecheng Hao; Tong Bu; Jianhao Ding; Zhaofei Yu; Tiejun Huang 001 (ACM Multimedia, 2024)

Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. - Xian Zhong; Shengwang Hu; Wenxuan Liu; Wenxin Huang; Jianhao Ding; Zhaofei Yu; Tiejun Huang 001 (ACM Multimedia, 2024)

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs. - Zhipeng Huang 021; Jianhao Ding; Zhiyu Pan; Haoran Li; Ying Fang; Zhaofei Yu; Jian K. Liu (CoRR, 2024)

Art image inpainting via embedding multiple attention dilated convolutions. - Yuhong Zhang; Jianhao Ding; Jieyue Yu (Multim. Tools Appl., 2024)

MSAM-YOLO: An improved YOLO v8 based on attention mechanism for grape leaf disease identification method. - Hongbiao Xie; Jianhao Ding (J. Comput. Methods Sci. Eng., 2025)

Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control. - Zijie Xu 008; Tong Bu; Zecheng Hao; Jianhao Ding; Zhaofei Yu (CoRR, 2025)

Adaptive structure graph embedding for unsupervised feature extraction. - Qiqi Chen; Xuesong Yin; Jianhao Ding; Qi Huang; Ting Shu; Yigang Wang (Appl. Intell., 2025)