| 2025 | ICML | TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer. | Lusen Zhao, Zihan Huang, Jianhao Ding, Zhaofei Yu |
| 2024 | AAAI | Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. | Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu |
| 2024 | CVPR | Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. | Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang |
| 2024 | ICLR | Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework. | Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu |
| 2024 | ICLR | Online Stabilization of Spiking Neural Networks. | Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu |
| 2024 | ICML | Robust Stable Spiking Neural Networks. | Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang |
| 2024 | ICML | Enhancing Adversarial Robustness in SNNs with Sparse Gradients. | Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu |
| 2023 | AAAI | Reducing ANN-SNN Conversion Error through Residual Membrane Potential. | Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu |
| 2023 | CVPR | Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks. | Tong Bu, Jianhao Ding, Zecheng Hao, Zhaofei Yu |
| 2023 | ICLR | Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes. | Zecheng Hao, Jianhao Ding, Tong Bu, Tiejun Huang, Zhaofei Yu |
| 2022 | AAAI | Optimized Potential Initialization for Low-Latency Spiking Neural Networks. | Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang |
| 2022 | ICLR | 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 |
| 2021 | IJCAI | Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. | Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang |
| 2018 | VTC | System Design of ATSC3.0 Broadcast Gateway Based on CPU-FPGA. | Jianhao Ding, Shuai Xiong, Yifan Liu, Dazhi He, Wenjun Zhang, Kaikai Wang |