| 2026 | AAAI | APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract). | Yian Wang, Ye Qiao, Sitao Huang, Hyoukjun Kwon |
| 2026 | ISPASS | RTG: Exploring the Dynamic Scheduling Space of Real-Time Generative AI workloads on Emerging Heterogeneous Systems. | Rachid Karami, Rajeev Patwari, Hyoukjun Kwon, Ashish Sirasao |
| 2026 | ISPASS | Characterizing State Space Model and Hybrid Language Model Performance with Long Context. | Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon |
| 2025 | CVPR | Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses. | Yongfan Liu, Hyoukjun Kwon |
| 2025 | DATE | Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception. | Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque |
| 2025 | ISPASS | Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. | Rachid Karami, Sheng-Chun Kao, Hyoukjun Kwon |
| 2025 | ISPASS | Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads. | Jamin Seo, Jianming Tong, Tushar Krishna, Hyoukjun Kwon |
| 2024 | MICRO | SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. | Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque |
| 2023 | ASPLOS | DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. | Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra |
| 2022 | CVPR | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. | Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan |
| 2022 | SIGMETRICS | A Formalism of DNN Accelerator Flexibility. | Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna |
| 2021 | ASPDAC | Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. | Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcn, Tushar Krishna |
| 2021 | HPCA | Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. | Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra |
| 2020 | DAC | Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. | Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi |
| 2020 | HPCA | SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. | Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna |
| 2019 | DAC | Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. | Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim |
| 2019 | ISPASS | mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. | Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna |
| 2019 | MICRO | Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. | Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna |
| 2018 | ASPLOS | MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. | Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna |
| 2017 | ISPASS | OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. | Hyoukjun Kwon, Tushar Krishna |