Daehyun Ahn - RankMe

20 papers A* 2A 7Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning. CoRR Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park
2024	J	`jnl`	QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim
2024	A	`conf`	RepTor: Re-parameterizable Temporal Convolution for Keyword Spotting via Differentiable Kernel Search. INTERSPEECH Eunik Park, Daehyun Ahn, Hyungjun Kim
2023	A*	`conf`	Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon Kim
2023	A	`conf`	Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
2023	J	`jnl`	Squeezing Large-Scale Diffusion Models for Mobile. CoRR Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
2023	A*	`conf`	Temporal Dynamic Quantization for Diffusion Models. NeurIPS Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
2023	J	`jnl`	Temporal Dynamic Quantization for Diffusion Models. CoRR Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
2023	J	`jnl`	V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim
2022	A	`conf`	Workload-Balanced Graph Attention Network Accelerator with Top-K Aggregation Candidates. ICCAD Naebeom Park, Daehyun Ahn, Jae-Joon Kim
2021	—	`conf`	Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS. A-SSCC Hyunmyung Oh, Hyungjun Kim, Daehyun Ahn, Jihoon Park, Yulhwa Kim, Inhwan Lee, Jae-Joon Kim
2021	J	`jnl`	Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators. IEEE Access Daehyun Ahn, Hyunmyung Oh, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
2021	A	`conf`	SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. DATE Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim
2020	J	`jnl`	Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Junki Park, Wooseok Yi, Daehyun Ahn, Jaeha Kung, Jae-Joon Kim
2020	—	`conf`	OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator. MLSys Junki Park, Hyunsung Yoon, Daehyun Ahn, Jungwook Choi, Jae-Joon Kim
2020	A	`conf`	Time-step interleaved weight reuse for LSTM neural network computing. ISLPED Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim
2020	A	`conf`	V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. FPGA Taesu Kim, Daehyun Ahn, Jae-Joon Kim
2019	—	`conf`	Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim
2018	A	`conf`	Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. ISLPED Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim
2018	—	`conf`	Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim