| 2023 | DATE | Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception. | Biswadeep Chakraborty, Uday Kamal, Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay |
| 2022 | ICLR | Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods. | Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay |
| 2022 | IJCNN | Learning Point Processes using Recurrent Graph Network. | Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay |
| 2021 | DATE | Reliable Edge Intelligence in Unreliable Environment. | Minah Lee, Xueyuan She, Biswadeep Chakraborty, Saurabh Dash, Burhan Ahmad Mudassar, Saibal Mukhopadhyay |
| 2020 | IJCNN | SAFE-DNN: A Deep Neural Network With Spike Assisted Feature Extraction For Noise Robust Inference. | Xueyuan She, Priyabrata Saha, Daehyun Kim, Yun Long, Saibal Mukhopadhyay |
| 2019 | DATE | Design of Reliable DNN Accelerator with Un-reliable ReRAM. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2019 | DATE | Fast and Low-Precision Learning in GPU-Accelerated Spiking Neural Network. | Xueyuan She, Yun Long, Saibal Mukhopadhyay |
| 2019 | IJCNN | Improving Robustness of ReRAM-based Spiking Neural Network Accelerator with Stochastic Spike-timing-dependent-plasticity. | Xueyuan She, Yun Long, Saibal Mukhopadhyay |
| 2018 | CoRL | HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2018 | DATE | Accelerating biophysical neural network simulation with region of interest based approximation. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |