| 2022 | CVPR | Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs. | Berkin Akin, Suyog Gupta, Yun Long, Anton Spiridonov, Zhuo Wang, Marie White, Hao Xu, Ping Zhou, Yanqi Zhou |
| 2022 | ECCV | Data-Free Neural Architecture Search via Recursive Label Calibration. | Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner |
| 2020 | DAC | Q-PIM: A Genetic Algorithm based Flexible DNN Quantization Method and Application to Processing-In-Memory Platform. | Yun Long, Edward Lee, Daehyun Kim, Saibal Mukhopadhyay |
| 2020 | IJCNN | Flex-PIM: A Ferroelectric FET based Vector Matrix Multiplication Engine with Dynamical Bitwidth and Floating Point Precision. | Yun Long, Edward Lee, Daehyun Kim, 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 |
| 2020 | ICRA | MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network. | Priyabrata Saha, Arslan Ali, Burhan Ahmad Mudassar, Yun Long, Saibal Mukhopadhyay |
| 2020 | IECON | Continuous Non-singular Terminal Sliding Mode Control of Electronic Throttle with Disturbances. | Yun Long, Chong Yao, Dongyuan Liu, Yanmin Wang |
| 2019 | DATE | Design of Reliable DNN Accelerator with Un-reliable ReRAM. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2019 | DATE | A Camera with Brain - Embedding Machine Learning in 3D Sensors. | Burhan Ahmad Mudassar, Priyabrata Saha, Yun Long, Mohammad Faisal Amir, Evan Gebhardt, Taesik Na, Jong Hwan Ko, Marilyn Wolf, 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 |
| 2018 | ICCAD | A ferroelectric FET based power-efficient architecture for data-intensive computing. | Yun Long, Taesik Na, Prakshi Rastogi, Karthik Rao, Asif Islam Khan, Sudhakar Yalamanchili, Saibal Mukhopadhyay |
| 2017 | ISCA | A Programmable Hardware Accelerator for Simulating Dynamical Systems. | Jaeha Kung, Yun Long, Duckhwan Kim, Saibal Mukhopadhyay |
| 2016 | IJCNN | ReRAM Crossbar based Recurrent Neural Network for human activity detection. | Yun Long, Eui Min Jung, Jaeha Kung, Saibal Mukhopadhyay |
| 2007 | FOCS | Mixing Time Power Laws at Criticality. | Yun Long, Asaf Nachmias, Yuval Peres |