Jianhao Ding

According to our database, Jianhao Ding authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Art image inpainting via embedding multiple attention dilated convolutions.

Yuhong Zhang, Jianhao Ding, Jieyue Yu

Multim. Tools Appl., April, 2024

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs.

Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu

CoRR, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Enhancing Adversarial Robustness in SNNs with Sparse Gradients.

Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Stable Spiking Neural Networks.

Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Stabilization of Spiking Neural Networks.

Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework.

Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization.

Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms.

Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.

Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian

CoRR, 2023

Spike timing reshapes robustness against attacks in spiking neural networks.

Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

CoRR, 2023

SpikeCV: Open a Continuous Computer Vision Era.

Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang

CoRR, 2023

Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes.

Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks.

Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D Scene Modeling Method based on Sparse Representation.

Guishan Xiang, Yong Liang, Jianhao Ding, Zhijie Lin

Proceedings of the 2023 5th Asia Pacific Information Technology Conference, 2023

Reducing ANN-SNN Conversion Error through Residual Membrane Potential.

Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Temporal Effective Batch Normalization in Spiking Neural Networks.

Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training.

Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.

Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimized Potential Initialization for Low-Latency Spiking Neural Networks.

Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks.

Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

A Fixed point view: A Model-Based Clustering Framework.

Jianhao Ding, Lansheng Han

CoRR, 2020

2018

An adaptive control momentum method as an optimizer in the cloud.

Jianhao Ding, Lansheng Han, Dan Li

Future Gener. Comput. Syst., 2018

System Design of ATSC3.0 Broadcast Gateway Based on CPU-FPGA.

Jianhao Ding, Shuai Xiong, Yifan Liu, Dazhi He, Wenjun Zhang, Kaikai Wang

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2013

An HOG-CT human detector with histogram-based search.

Jianhao Ding, Yigang Wang, Weidong Geng

Multim. Tools Appl., 2013