| 2024 | Interspeech | RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search. | Eunik Park, Daehyun Ahn, Hyungjun Kim |
| 2023 | WACV | Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. | Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim |
| 2022 | ICCAD | Workload-Balanced Graph Attention Network Accelerator with Top-K Aggregation Candidates. | Naebeom Park, Daehyun Ahn, Jae-Joon Kim |
| 2021 | DATE | SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. | Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim |
| 2020 | FPGA | V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. | Taesu Kim, Daehyun Ahn, Jae-Joon Kim |
| 2020 | ISLPED | Time-step interleaved weight reuse for LSTM neural network computing. | Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim |
| 2019 | ICLR | Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. | Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim |
| 2018 | ICLR | Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. | Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim |
| 2018 | ISLPED | Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. | Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim |