Jianhao Ding - RankMe

53 papers A* 17Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency. CoRR Yi Lu, Jianhao Ding, Zhaofei Yu
2026	J	`jnl`	Brain-Inspired Multimodal Spiking Neural Network for Image-Text Retrieval. CoRR Xintao Zong, Xian Zhong, Wenxuan Liu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2026	J	`jnl`	Fast multi-view clustering with geometric structures. Appl. Intell. Yukai Zhao, Xuesong Yin, Ting Shu, Jianhao Ding, Yigang Wang
2026	J	`jnl`	General Self-Prediction Enhancement for Spiking Neurons. CoRR Zihan Huang, Zijie Xu, Yihan Huang, Shanshan Jia, Tong Bu, Yiting Dong, Wenxuan Liu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang
2026	J	`jnl`	Metadata matters: Mamba-based cross-modal fusion for medical image classification with metadata. Appl. Soft Comput. Xu Chen, Xuesong Yin, Guodao Zhang, Jianhao Ding, Ting Shu, Xinjun Miao
2026	J	`jnl`	SpikeCV: open a continuous computer vision era. Sci. China Inf. Sci. Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Weijian Wu, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2025	J	`jnl`	A structure-guided multi-scale art image inpainting. Multim. Tools Appl. Jianhao Ding, Yuhong Zhang, Jieyue Yu, Zhenlei Weng
2025	J	`jnl`	Adaptive structure graph embedding for unsupervised feature extraction. Appl. Intell. Qiqi Chen, Xuesong Yin, Jianhao Ding, Qi Huang, Ting Shu, Yigang Wang
2025	J	`jnl`	Assisting Training of Deep Spiking Neural Networks With Parameter Initialization. IEEE Trans. Neural Networks Learn. Syst. Jianhao Ding, Jiyuan Zhang, Tiejun Huang, Jian K. Liu, Zhaofei Yu
2025	J	`jnl`	CMFuse: a hierarchical feature fusion model combining convolution and Mamba for medical image classification. Clust. Comput. Xu Chen, Xuesong Yin, Qi Huang, Ting Shu, Jianhao Ding, Yigang Wang
2025	J	`jnl`	Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs. IEEE Trans. Neural Networks Learn. Syst. Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
2025	J	`jnl`	MSAM-YOLO: An improved YOLO v8 based on attention mechanism for grape leaf disease identification method. J. Comput. Methods Sci. Eng. Hongbiao Xie, Jianhao Ding
2025	J	`jnl`	PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks. CoRR Yiting Dong, Jianhao Ding, Zijie Xu, Tong Bu, Zhaofei Yu, Tie-Jun Huang
2025	J	`jnl`	Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control. CoRR Zijie Xu, Tong Bu, Zecheng Hao, Jianhao Ding, Zhaofei Yu
2025	A*	`conf`	TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer. ICML Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu
2025	J	`jnl`	Towards High-performance Spiking Transformers from ANN to SNN Conversion. CoRR Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tie-Jun Huang
2025	J	`jnl`	Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition. CoRR Peiyu Liu, Jianhao Ding, Zhaofei Yu
2025	J	`jnl`	Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation. CoRR Yiting Dong, Zhaofei Yu, Jianhao Ding, Zijie Xu, Tiejun Huang
2024	J	`jnl`	Art image inpainting via embedding multiple attention dilated convolutions. Multim. Tools Appl. Yuhong Zhang, Jianhao Ding, Jieyue Yu
2024	J	`jnl`	Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs. CoRR Zhipeng Huang, Jianhao Ding, Zhiyu Pan, Haoran Li, Ying Fang, Zhaofei Yu, Jian K. Liu
2024	A*	`conf`	Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. CVPR Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang
2024	J	`jnl`	Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. CoRR Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang
2024	A*	`conf`	Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu
2024	J	`jnl`	Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu
2024	A*	`conf`	Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. AAAI Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2024	A*	`conf`	Online Stabilization of Spiking Neural Networks. ICLR Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu
2024	A*	`conf`	Robust Stable Spiking Neural Networks. ICML Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang
2024	J	`jnl`	Robust Stable Spiking Neural Networks. CoRR Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang
2024	A*	`conf`	Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. ICLR Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2024	A*	`conf`	Towards High-performance Spiking Transformers from ANN to SNN Conversion. ACM Multimedia Zihan Huang, Xinyu Shi, Zecheng Hao, Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024	A*	`conf`	Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. ACM Multimedia Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2024	J	`jnl`	Towards Low-latency Event-based Visual Recognition with Hybrid Step-wise Distillation Spiking Neural Networks. CoRR Xian Zhong, Shengwang Hu, Wenxuan Liu, Wenxin Huang, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2023	—	`conf`	3D Scene Modeling Method based on Sparse Representation. APIT Guishan Xiang, Yong Liang, Jianhao Ding, Zhijie Lin
2023	A*	`conf`	Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. ICLR Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023	J	`jnl`	Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. CoRR Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu
2023	J	`jnl`	Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. CoRR Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2023	A*	`conf`	Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. CVPR Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu
2023	A*	`conf`	Reducing ANN-SNN Conversion Error through Residual Membrane Potential. AAAI Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
2023	J	`jnl`	Reducing ANN-SNN Conversion Error through Residual Membrane Potential. CoRR Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu
2023	J	`jnl`	Spike timing reshapes robustness against attacks in spiking neural networks. CoRR Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2023	J	`jnl`	SpikeCV: Open a Continuous Computer Vision Era. CoRR Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
2023	J	`jnl`	SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2022	A*	`conf`	Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. ICLR Tong Bu, Wei Fang, Jianhao Ding, Penglin Dai, Zhaofei Yu, Tiejun Huang
2022	A*	`conf`	Optimized Potential Initialization for Low-Latency Spiking Neural Networks. AAAI Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2022	J	`jnl`	Optimized Potential Initialization for Low-latency Spiking Neural Networks. CoRR Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang
2022	A*	`conf`	SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training. NeurIPS Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian K. Liu
2022	A*	`conf`	Temporal Effective Batch Normalization in Spiking Neural Networks. NeurIPS Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang
2021	A*	`conf`	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2021	J	`jnl`	Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang
2020	J	`jnl`	A Fixed point view: A Model-Based Clustering Framework. CoRR Jianhao Ding, Lansheng Han
2018	J	`jnl`	An adaptive control momentum method as an optimizer in the cloud. Future Gener. Comput. Syst. Jianhao Ding, Lansheng Han, Dan Li
2018	—	`conf`	System Design of ATSC3.0 Broadcast Gateway Based on CPU-FPGA. VTC Fall Jianhao Ding, Shuai Xiong, Yifan Liu, Dazhi He, Wenjun Zhang, Kaikai Wang
2013	J	`jnl`	An HOG-CT human detector with histogram-based search. Multim. Tools Appl. Jianhao Ding, Yigang Wang, Weidong Geng