| 2026 | DATE | MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network. | Donghyun Lee, Abhishek Moitra, Youngeun Kim, Ruokai Yin, Priyadarshini Panda |
| 2025 | DATE | Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption. | Yujin Nam, Abhishek Moitra, Yeshwanth Venkatesha, Xiaofan Yu, Gabrielle De Micheli, Xuan Wang, Minxuan Zhou, Augusto Vega, Priyadarshini Panda, Tajana Rosing |
| 2025 | ISLPED | SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference. | Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda |
| 2024 | ASPDAC | MINT: Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks. | Ruokai Yin, Yuhang Li, Abhishek Moitra, Priyadarshini Panda |
| 2024 | DAC | PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. | Abhishek Moitra, Abhiroop Bhattacharjee, Priyadarshini Panda |
| 2024 | DATE | TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training. | Donghyun Lee, Ruokai Yin, Youngeun Kim, Abhishek Moitra, Yuhang Li, Priyadarshini Panda |
| 2024 | DATE | HaLo-FL: Hardware-Aware Low-Precision Federated Learning. | Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2024 | ICASSP | Are SNNs Truly Energy-efficient? - A Hardware Perspective. | Abhiroop Bhattacharjee, Ruokai Yin, Abhishek Moitra, Priyadarshini Panda |
| 2023 | ACSSC | Energy-efficient Hardware Design for Spiking Neural Networks (Extended Abstract). | Abhishek Moitra, Ruokai Yin, Priyadarshini Panda |
| 2023 | DAC | Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing. | Yuhang Li, Abhishek Moitra, Tamar Geller, Priyadarshini Panda |
| 2023 | DAC | XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing. | Abhishek Moitra, Abhiroop Bhattacharjee, Youngeun Kim, Priyadarshini Panda |
| 2023 | DATE | DeepCAM: A Fully CAM-based Inference Accelerator with Variable Hash Lengths for Energy-efficient Deep Neural Networks. | Duy-Thanh Nguyen, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2022 | DAC | MIME: adapting a single neural network for multi-task inference with memory-efficient dynamic pruning. | Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Abhishek Moitra, Priyadarshini Panda |
| 2022 | ICASSP | Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? | Youngeun Kim, Hyoungseob Park, Abhishek Moitra, Abhiroop Bhattacharjee, Yeshwanth Venkatesha, Priyadarshini Panda |
| 2022 | ISLPED | Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars. | Abhiroop Bhattacharjee, Youngeun Kim, Abhishek Moitra, Priyadarshini Panda |
| 2021 | DATE | Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks. | Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |
| 2021 | DATE | Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks. | Karina Vasquez, Yeshwanth Venkatesha, Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda |