| 2026 | AAAI | Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble. | Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng |
| 2026 | FPGA | Hummingbird+: Advancing FPGA-based LLM Deployment from Research Prototype to Edge Product. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2026 | ISCAS | FireFly-P: FPGA-Accelerated Spiking Neural Network Plasticity for Robust Adaptive Control. | Tenglong Li, Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | AAAI | EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. | Yiting Dong, Xiang He, Guobin Shen, Dongcheng Zhao, Yang Li, Yi Zeng |
| 2025 | AAAI | StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? | Guobin Shen, Dongcheng Zhao, Aorigele Bao, Xiang He, Yiting Dong, Yi Zeng |
| 2025 | DATE | Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | ICCAD | Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. | Jindong Li, Tenglong Li, Ruiqi Chen, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2025 | ICCV | SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility. | Guobin Shen, Jindong Li, Tenglong Li, Dongcheng Zhao, Yi Zeng |
| 2025 | ICLR | Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. | Guobin Shen, Dongcheng Zhao, Yiting Dong, Xiang He, Yi Zeng |
| 2025 | IJCAI | Brain-Inspired Stepwise Patch Merging for Vision Transformers. | Yonghao Yu, Dongcheng Zhao, Guobin Shen, Yiting Dong, Yi Zeng |
| 2024 | AAAI | An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. | Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng |
| 2024 | CVPR | Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. | Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng |
| 2024 | FPL | Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. | Jindong Li, Tenglong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng |
| 2024 | ICLR | Enhancing Spiking Transformers with Binary Attention Mechanisms. | Guobin Shen, Dongcheng Zhao, Sicheng Shen, Yi Zeng |
| 2024 | IJCAI | TIM: An Efficient Temporal Interaction Module for Spiking Transformer. | Sicheng Shen, Dongcheng Zhao, Guobin Shen, Yi Zeng |
| 2024 | IJCNN | Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. | Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng |
| 2019 | IJCNN | Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. | Dongcheng Zhao, Yi Zeng |
| 2018 | AAAI | A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi |
| 2018 | IJCAI | Brain-inspired Balanced Tuning for Spiking Neural Networks. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu |
| 2016 | SMC | HMSNN: Hippocampus inspired Memory Spiking Neural Network. | Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu |