| 2025 | ISCAS | Low-power Spike-based Wearable Analytics on RRAM Crossbars. | Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen, Xinxin Wang, Priyadarshini Panda |
| 2025 | ISLPED | SITRA: Exploiting Temporal Silence in Spiking Transformers for Fast & Energy-efficient Inference. | Abhiroop Bhattacharjee, Abhishek Moitra, Ruokai Yin, Priyadarshini Panda |
| 2024 | DAC | PIVOT- Input-aware Path Selection for Energy-efficient ViT Inference. | Abhishek Moitra, Abhiroop Bhattacharjee, 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 | 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 | DATE | Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks. | Abhiroop Bhattacharjee, Lakshya Bhatnagar, 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 |