| 2025 | ICASSP | Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. | Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel |
| 2025 | ICCAD | Optimizing SFQ Circuit Design: A Timing-Driven Framework for Performance-Constrained Area Minimization. | Robert S. Aviles, Rassul Bairamkulov, Ziyu Liu, Peter A. Beerel |
| 2025 | ICCAD | Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics. | Mehrdad Morsali, Chengwei Zhou, Deniz Najafi, Sreetama Sarkar, Pietro Mercati, Navid Khoshavi, Peter A. Beerel, Mahdi Nikdast, Gourav Datta, Shaahin Angizi |
| 2025 | WACV | MaskVD: Region Masking for Efficient Video Object Detection. | Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel |
| 2024 | ACL | AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. | Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter A. Beerel |
| 2024 | CVPR | DIA: Diffusion based Inverse Network Attack on Collaborative Inference. | Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel |
| 2024 | CVPR | RLNet: Robust Linearized Networks for Efficient Private Inference. | Sreetama Sarkar, Souvik Kundu, Peter A. Beerel |
| 2024 | CVPR | Block Selective Reprogramming for On-device Training of Vision Transformers. | Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel |
| 2024 | DAC | Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. | Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal |
| 2024 | DATE | Challenges and Unexplored Frontiers in Electronic Design Automation for Superconducting Digital Logic. | Sasan Razmkhah, Robert S. Aviles, Mingye Li, Sandeep Gupta, Peter A. Beerel, Massoud Pedram |
| 2024 | ICASSP | Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology. | Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel |
| 2024 | ICASSP | Training Ultra-Low-Latency Spiking Neural Networks from Scratch. | Gourav Datta, Zeyu Liu, Peter A. Beerel |
| 2024 | ICASSP | Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. | Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel |
| 2024 | ICCD | A Joint Optimization of Buffer and Splitter Insertion for Phase-Skipping Adiabatic Quantum - Flux - Parametron Circuits. | Robert S. Aviles, Peter A. Beerel |
| 2024 | ICPR | FixPix: Fixing Bad Pixels using Deep Learning. | Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel |
| 2024 | ICPR | What Makes Vision Transformers Robust Towards Bit-Flip Attack? | Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter A. Beerel |
| 2024 | SENSYS | FireLoc: Low-latency Multi-modal Wildfire Geolocation. | Xiao Fu, Yue Hu, Prashanth Sutrave, Peter A. Beerel, Barath Raghavan |
| 2023 | CVPR | Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. | Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel |
| 2023 | DAC | C | Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel |
| 2023 | ICASSP | In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. | Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2023 | ICASSP | Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. | Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel |
| 2023 | ICASSP | Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. | Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters |
| 2023 | ICCAD | RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. | Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | ICCV | SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. | Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | ICLR | Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. | Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel |
| 2023 | ISCAS | ViTA: A Vision Transformer Inference Accelerator for Edge Applications. | Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel |
| 2023 | ISLPED | Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. | Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel |
| 2023 | WACV | Self-Attentive Pooling for Efficient Deep Learning. | Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel |
| 2023 | WACV | Enabling ISPless Low-Power Computer Vision. | Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2023 | WACV | FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness. | Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel |
| 2022 | DATE | Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? | Gourav Datta, Peter A. Beerel |
| 2022 | DATE | BMPQ: Bit-Gradient Sensitivity-Driven Mixed-Precision Quantization of DNNs from Scratch. | Souvik Kundu, Shikai Wang, Qirui Sun, Peter A. Beerel, Massoud Pedram |
| 2022 | DATE | TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. | Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel |
| 2022 | DSD | PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. | Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters |
| 2022 | ECCV | Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. | Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel |
| 2021 | ASPDAC | DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. | Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram |
| 2021 | ICCV | HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise. | Souvik Kundu, Massoud Pedram, Peter A. Beerel |
| 2021 | IJCNN | Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. | Gourav Datta, Souvik Kundu, Peter A. Beerel |
| 2021 | WACV | Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression. | Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel |
| 2020 | ACML | Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. | Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel |
| 2020 | DATE | Saving Power by Converting Flip-Flop to 3-Phase Latch-Based Designs. | Huimei Cheng, Xi Li, Yichen Gu, Peter A. Beerel |
| 2020 | ICASSP | Neural Network Training with Approximate Logarithmic Computations. | Arnab Sanyal, Peter A. Beerel, Keith M. Chugg |
| 2020 | ISCAS | Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. | Gourav Datta, Peter A. Beerel |
| 2018 | ISCAS | Opportunities for Machine Learning in Electronic Design Automation. | Peter A. Beerel, Massoud Pedram |
| 2018 | ISCAS | A Robust and Self-Adaptive Clocking Technique for RSFQ Circuits - The Architecture. | Ramy N. Tadros, Peter A. Beerel |
| 2018 | ITA | Characterizing Sparse Connectivity Patterns in Neural Networks. | Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg |
| 2017 | ACSSC | Interleaver design for deep neural networks. | Sourya Dey, Peter A. Beerel, Keith M. Chugg |
| 2017 | DAC | Retiming of Two-Phase Latch-Based Resilient Circuits. | Hsiao-Lun Wang, Minghe Zhang, Peter A. Beerel |
| 2017 | ICANN | Accelerating Training of Deep Neural Networks via Sparse Edge Processing. | Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel |
| 2016 | DAC | Area optimization of resilient designs guided by a mixed integer geometric program. | Hsin-Ho Huang, Huimei Cheng, Chris C. N. Chu, Peter A. Beerel |
| 2016 | ISLPED | Low Area, Low Power, Robust, Highly Sensitive Error Detecting Latch for Resilient Architectures. | Weizhe Hua, Ramy N. Tadros, Peter A. Beerel |
| 2015 | DATE | Logical equivalence checking of asynchronous circuits using commercial tools. | Arash Saifhashemi, Hsin-Ho Huang, Priyanka Bhalerao, Peter A. Beerel |
| 2015 | VLSID | Analysis and Optimization of Programmable Delay Elements for 2-Phase Bundled-Data Circuits. | Guilherme Heck, Leandro S. Heck, Ajay Singhvi, Matheus T. Moreira, Peter A. Beerel, Ney Laert Vilar Calazans |
| 2014 | DATE | Stochastic analysis of Bubble Razor. | Guowei Zhang, Peter A. Beerel |
| 2014 | ICCAD | Asynchronous circuit placement by lagrangian relaxation. | Gang Wu, Tao Lin, Hsin-Ho Huang, Chris Chu, Peter A. Beerel |
| 2013 | ICCAD | Slack matching mode-based asynchronous circuits for average-case performance. | Mehrdad Najibi, Peter A. Beerel |
| 2012 | ICCD | A polynomial time flow for implementing free-choice Petri-nets. | Pavlos M. Mattheakis, Christos P. Sotiriou, Peter A. Beerel |
| 2011 | DATE | An area-efficient multi-level single-track pipeline template. | Pankaj Golani, Peter A. Beerel |
| 2004 | VLSID | Bridging the Gap between Asynchronous Design and Designers. | Peter A. Beerel, Jordi Cortadella, Alex Kondratyev |
| 2003 | ISCAS | An asynchronous pipeline comparisons with application to DCT matrix-vector multiplication. | Sunan Tugsinavisut, Suwicha Jirayucharoensak, Peter A. Beerel |
| 2002 | DATE | Single-Track Asynchronous Pipeline Templates Using 1-of-N Encoding. | Marcos Ferretti, Peter A. Beerel |
| 2002 | DATE | High-Speed Non-Linear Asynchronous Pipelines. | Recep O. Ozdag, Peter A. Beerel, Montek Singh, Steven M. Nowick |
| 2002 | DATE | Control Circuit Templates for Asynchronous Bundled-Data Pipelines. | Sunan Tugsinavisut, Peter A. Beerel |
| 2001 | ISLPED | Theory and practical implementation of harmonic resonant rail driver. | Joong-Seok Moon, William C. Athas, Peter A. Beerel |
| 2000 | ICCAD | Pipeline Optimization for Asynchronous Circuits: Complexity Analysis and an Efficient Optimal Algorithm. | Sangyun Kim, Peter A. Beerel |
| 2000 | ISLPED | An asynchronous matrix-vector multiplier for discrete cosine transform. | Kyeounsoo Kim, Peter A. Beerel, Youpyo Hong |
| 1999 | DATE | Symbolic Reachability Analysis of Large Finite State Machines Using Don't Cares. | Youpyo Hong, Peter A. Beerel |
| 1999 | ICCAD | Implicit enumeration of strongly connected components. | Aiguo Xie, Peter A. Beerel |
| 1999 | ISLPED | Statistically optimized asynchronous barrel shifters for variable length codecs. | Peter A. Beerel, Sangyun Kim, Pei-Chuan Yeh, Kyeounsoo Kim |
| 1998 | DAC | Don't Care-Based BDD Minimization for Embedded Software. | Youpyo Hong, Peter A. Beerel, Luciano Lavagno, Ellen Sentovich |
| 1998 | DAC | Efficient State Classification of Finite State Markov Chains. | Aiguo Xie, Peter A. Beerel |
| 1998 | WCAE | Computer engineering using innovative instructional technologies at the University of Southern California. | Timothy Mark Pinkston, Peter A. Beerel |
| 1997 | ASPDAC | RTL verification of timed asynchronous and heterogeneous systems using symbolic model checking. | Vida Vakilotojar, Peter A. Beerel |
| 1997 | DAC | Safe BDD Minimization Using Don't Cares. | Youpyo Hong, Peter A. Beerel, Jerry R. Burch, Kenneth L. McMillan |
| 1995 | ICCAD | Estimation and bounding of energy consumption in burst-mode control circuits. | Peter A. Beerel, Kenneth Y. Yun, Steven M. Nowick, Pei-Chuan Yeh |
| 1995 | ISLPED | Estimation of energy consumption in speed-independent control circuits. | Peter A. Beerel, Cheng-Ta Hsieh, Suhrid A. Wadekar |
| 1993 | ICCAD | Efficient verification of determinate speed-independent circuits. | Peter A. Beerel, Jerry R. Burch, Teresa H.-Y. Meng |
| 1992 | ICCAD | Automatic gate-level synthesis of speed-independent circuits. | Peter A. Beerel, Teresa H.-Y. Meng |
| 1991 | DAC | Testability of Asynchronous Timed Control Circuits with Delay Assumptions. | Peter A. Beerel, Teresa H.-Y. Meng |