| 2026 | AAAI | S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding. | Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan |
| 2026 | ACL | SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models. | Ming Chen, Wenyao Li, Chao Liang, Shi Gu, Peng Lin, De Ma, Huajin Tang, Qian Zheng, Gang Pan |
| 2025 | CVPR | Hybrid Concept Bottleneck Models. | Yang Liu, Tianwei Zhang, Shi Gu |
| 2025 | ICLR | Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness. | Kangrui Du, Yuhang Wu, Shikuang Deng, Shi Gu |
| 2023 | ICML | Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. | Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu |
| 2023 | MICCAI | Co-learning Semantic-Aware Unsupervised Segmentation for Pathological Image Registration. | Yang Liu, Shi Gu |
| 2022 | ICLR | Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting. | Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu |
| 2021 | GECCO | Empirical study of correlations in the fitness landscapes of combinatorial optimization problems. | Longfei Zhang, Ke Li, Shi Gu |
| 2021 | ICCV | MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. | Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu |
| 2021 | ICLR | Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks. | Shikuang Deng, Shi Gu |
| 2021 | ICLR | BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction. | Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu |
| 2021 | ICML | A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration. | Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu |
| 2020 | MICCAI | Robust Medical Image Segmentation from Non-expert Annotations with Tri-network. | Tianwei Zhang, Lequan Yu, Na Hu, Su Lv, Shi Gu |
| 2019 | MICCAI | Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. | Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu |