| 2026 | ASPDAC | A Heterogeneous Graph-based Gate Sizer Integrating Graph Attention Network and Transformer. | Jinmo Ahn, Jinoh Cho, Jaemin Seo, Jaeseung Lee, Jakang Lee, Seokhyeong Kang |
| 2026 | ASPDAC | Au-MEDAL: Adaptable Grid Router with Metal Edge Detection And Layer Integration. | Andrew B. Kahng, Seokhyeong Kang, Sehyeon Kim, Jakang Lee, Dooseok Yoon |
| 2026 | ASPDAC | REvolution: An Evolutionary Framework for RTL Generation driven by Large Language Models. | Kyungjun Min, Kyumin Cho, Junhwan Jang, Seokhyeong Kang |
| 2026 | DATE | TANGRAM: A Novel ILP-based On-Track Bus Routing via Placement and Compression of Polygons. | Jaekyung Im, Seokhyeong Kang |
| 2026 | DATE | Efficient Down-sampling in Hybrid Neural Networks using Adversarial Autoencoders. | Jonghyeon Nam, JoonSeok Kim, Eunji Kwon, Seokhyeong Kang |
| 2026 | ISLPED | Timing- and Power-Aware Differentiable Repair of Minimum Implant Area Violations. | Jinoh Cho, Minhyuk Kweon, Jinmo Ahn, Jeyeong Park, Seokhyeong Kang |
| 2026 | ISLPED | Fusing the Attention Training Dataflow with Local Safe Softmax and Model-Independent Tiling. | JoonSeok Kim, Daeheon Lee, DongHwan Yoon, Jonghyeon Nam, Seokhyeong Kang |
| 2025 | ASPDAC | PC-Opt: Partition and Conquest-based Optimizer using Multi-Agents for Complex Analog Circuits. | Youngchang Choi, Sejin Park, Ho-Jin Lee, Kyongsu Lee, Jae-Yoon Sim, Seokhyeong Kang |
| 2025 | ASPDAC | Leveraging Machine Learning Techniques for Traditional EDA Workflow Enhancement. | Jinoh Cho, Jaekyung Im, Jaeseung Lee, Kyungjun Min, Seonghyeon Park, Jaemin Seo, Jongho Yoon, Seokhyeong Kang |
| 2025 | ASPDAC | LIBMixer: An all-MLP Architecture for Cell Library Characterization towards Design Space Optimization. | Jaeseung Lee, Sunggyu Jang, Jakang Lee, Seokhyeong Kang |
| 2025 | ASPDAC | ParaFormer: A Hybrid Graph Neural Network and Transformer Approach for Pre-Routing Parasitic RC Prediction. | Jongho Yoon, Jakang Lee, Donggyu Kim, Junseok Hur, Seokhyeong Kang |
| 2025 | DAC | FedEDA: Federated Learning Framework for Privacy-Preserving Machine Learning in EDA. | Joonseok Kim, Donggyu Kim, Seonghyeon Park, Seokhyeong Kang |
| 2025 | DAC | Late Breaking Results: Fine-Tuning LLMs for Test Stimuli Generation. | Hyeonwoo Park, Seonghyeon Park, Seokhyeong Kang |
| 2025 | DAC | Late Breaking Results: A Geometric Diffusion Model for Macro Placement Generation. | Jongho Yoon, Jinsung Jeon, Seokhyeong Kang |
| 2025 | DATE | Neural Circuit Parameter Prediction for Efficient Quantum Data Loading. | Dohun Kim, Sunghye Park, Seokhyeong Kang |
| 2025 | DATE | Improving LLM-Based Verilog Code Generation with Data Augmentation and RL. | Kyungjun Min, Seonghyeon Park, Hyeonwoo Park, Jinoh Cho, Seokhyeong Kang |
| 2025 | ICCAD | SO3-Cell: Standard Cell Layout Automation Framework for Simultaneous Optimization of Topology, Placement, and Routing. | Chung-Kuan Cheng, Andrew B. Kahng, Byeonggon Kang, Seokhyeong Kang, Jakang Lee, Bill Lin |
| 2025 | ICCAD | A Parallel Analytical Legalization Algorithm via Alternating Direction Method of Multipliers. | Jaekyung Im, Seokhyeong Kang |
| 2025 | ICCAD | Enhancing Timing Closure via Spatially Embedded Graph Transformer with Low Power/Area Overhead. | Joonyoung Seo, Jonghyeon Nam, Howoo Jang, Yoonseok Jung, Seokhyeong Kang |
| 2025 | ISLPED | Diffusion-Enhanced Graph Transformer with Reinforcement Learning for Transferable Analog Circuit Optimizer. | Ho-Jin Lee, Kyeong-Jun Lee, Jae-Hoon Lee, Kyu-Jin Choi, Geunyong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang, Jae-Yoon Sim |
| 2024 | DAC | SkyPlace: A New Mixed-size Placement Framework using Modularity-based Clustering and SDP Relaxation. | Jaekyung Im, Seokhyeong Kang |
| 2024 | DAC | PPA-Relevant Clustering-Driven Placement for Large-Scale VLSI Designs. | Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Kyungjun Min, Seonghyeon Park, Bodhisatta Pramanik |
| 2024 | DAC | RL-PTQ: RL-based Mixed Precision Quantization for Hybrid Vision Transformers. | Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing, Seokhyeong Kang |
| 2024 | DAC | HiLight: A Comprehensive Framework for High-Performance and Lightweight Scalability in Surface Code Communication. | Sunghye Park, Dohun Kim, Seokhyeong Kang |
| 2024 | DATE | Improvement of Mixed Track - Height Standard-Cell Placement. | Andrew B. Kahng, Seokhyeong Kang, Minhyuk Kweon |
| 2024 | DATE | ViT- ToGo: Vision Transformer Accelerator with Grouped Token Pruning. | Seungju Lee, Kyumin Cho, Eunji Kwon, Sejin Park, Seojeong Kim, Seokhyeong Kang |
| 2024 | DATE | Trans-Net: Knowledge-Transferring Analog Circuit Optimizer with a Netlist-Based Circuit Representation. | Ho-Jin Lee, Kyeong-Jun Lee, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang, Jae-Yoon Sim |
| 2024 | DATE | CTRL-B: Back-End-Of-Line Configuration Pathfinding Using Cross-Technology Transferable Reinforcement Learning. | Sung-Yun Lee, Kyungjun Min, Seokhyeong Kang |
| 2024 | DATE | Unveiling the Black-Box: Leveraging Explainable AI for FPGA Design Space Optimization. | Jaemin Seo, Sejin Park, Seokhyeong Kang |
| 2024 | ICCAD | RL-Fill: Timing-Aware Fill Insertion using Reinforcement Learning. | Jinoh Cho, Seonghyeon Park, Jakang Lee, Sung-Yun Lee, Jinmo Ahn, Seokhyeong Kang |
| 2024 | ICCAD | Improving Timing & Power Trade-off in Post-place Optimization Using Multi-agent Reinforcement Learning. | Jaemin Seo, Sejin Park, Seokhyeong Kang |
| 2023 | ASPDAC | Graph Partitioning Approach for Fast Quantum Circuit Simulation. | Jaekyung Im, Seokhyeong Kang |
| 2023 | DAC | Reinforcement Learning-based Analog Circuit Optimizer using gm/ID for Sizing. | Minjeong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang |
| 2023 | DATE | MA-Opt: Reinforcement Learning-based Analog Circuit Optimization using Multi-Actors. | Youngchang Choi, Minjeong Choi, Kyongsu Lee, Seokhyeong Kang |
| 2023 | DATE | Routability Prediction using Deep Hierarchical Classification and Regression. | Daeyeon Kim, Jakang Lee, Seokhyeong Kang |
| 2023 | DATE | Mobile Accelerator Exploiting Sparsity of Multi-Heads, Lines, and Blocks in Transformers in Computer Vision. | Eunji Kwon, Haena Song, Jihye Park, Seokhyeong Kang |
| 2023 | DATE | RL-Legalizer: Reinforcement Learning-based Cell Priority Optimization in Mixed-Height Standard Cell Legalization. | Sung-Yun Lee, Seonghyeon Park, Daeyeon Kim, Minjae Kim, Tuyen Pham Le, Seokhyeong Kang |
| 2023 | DATE | FPGA-Based Accelerator for Rank-Enhanced and Highly-Pruned Block-Circulant Neural Networks. | Haena Song, Jongho Yoon, Dohun Kim, Eunji Kwon, Tae-Hyun Oh, Seokhyeong Kang |
| 2023 | ICCAD | ClusterNet: Routing Congestion Prediction and Optimization Using Netlist Clustering and Graph Neural Networks. | Kyungjun Min, Seongbin Kwon, Sung-Yun Lee, Dohun Kim, Sunghye Park, Seokhyeong Kang |
| 2023 | ICCAD | Routability Prediction and Optimization Using Explainable AI. | Seonghyeon Park, Daeyeon Kim, Seongbin Kwon, Seokhyeong Kang |
| 2023 | ISLPED | Multi-Source Transfer Learning for Design Technology Co-Optimization. | Jakang Lee, Jaeseung Lee, Seonghyeon Park, Seokhyeong Kang |
| 2022 | ACCV | Adaptive FSP: Adaptive Architecture Search with Filter Shape Pruning. | Aeri Kim, Seungju Lee, Eunji Kwon, Seokhyeong Kang |
| 2022 | ASPDAC | Signal-Integrity-Aware Interposer Bus Routing in 2.5D Heterogeneous Integration. | Sung-Yun Lee, Daeyeon Kim, Kyungjun Min, Seokhyeong Kang |
| 2022 | DAC | A fast and scalable qubit-mapping method for noisy intermediate-scale quantum computers. | Sunghye Park, Daeyeon Kim, Minhyuk Kweon, Jae-Yoon Sim, Seokhyeong Kang |
| 2022 | DATE | Design and Evaluation Frameworks for Advanced RISC-based Ternary Processor. | Dongyun Kam, Jung Gyu Min, Jongho Yoon, Sunmean Kim, Seokhyeong Kang, Youngjoo Lee |
| 2022 | ICCAD | MCQA: Multi-Constraint Qubit Allocation for Near-FTQC Device. | Sunghye Park, Dohun Kim, Jae-Yoon Sim, Seokhyeong Kang |
| 2022 | ICCD | CPR: Crossbar-grain Pruning for an RRAM-based Accelerator with Coordinate-based Weight Mapping. | Jihye Park, Seokhyeong Kang |
| 2021 | DATE | Approach to Improve the Performance Using Bit-level Sparsity in Neural Networks. | Yesung Kang, Eunji Kwon, Seunggyu Lee, Younghoon Byun, Youngjoo Lee, Seokhyeong Kang |
| 2021 | DATE | MDARTS: Multi-objective Differentiable Neural Architecture Search. | Sunghoon Kim, Hyun-jeong Kwon, Eunji Kwon, Youngchang Choi, Tae-Hyun Oh, Seokhyeong Kang |
| 2021 | DATE | Machine Learning Framework for Early Routability Prediction with Artificial Netlist Generator. | Daeyeon Kim, Hyun-jeong Kwon, Sung-Yun Lee, Seungwon Kim, Mingyu Woo, Seokhyeong Kang |
| 2021 | ISCAS | Design and Analysis of a Low-Power Ternary SRAM. | Youngchang Choi, Sunmean Kim, Kyongsu Lee, Seokhyeong Kang |
| 2020 | DAC | Late Breaking Results: Reinforcement Learning-based Power Management Policy for Mobile Device Systems. | Eunji Kwon, Sodam Han, Yoonho Park, Young Hwan Kim, Seokhyeong Kang |
| 2020 | DATE | Analysis and Solution of CNN Accuracy Reduction over Channel Loop Tiling. | Yesung Kang, Yoonho Park, Sunghoon Kim, Eunji Kwon, Taeho Lim, Sangyun Oh, Mingyu Woo, Seokhyeong Kang |
| 2020 | ISLPED | GRLC: grid-based run-length compression for energy-efficient CNN accelerator. | Yoonho Park, Yesung Kang, Sunghoon Kim, Eunji Kwon, Seokhyeong Kang |
| 2019 | DATE | Power Delivery Pathfinding for Emerging Die-to-Wafer Integration Technology. | Andrew B. Kahng, Seokhyeong Kang, Seungwon Kim, Kambiz Samadi, Bangqi Xu |
| 2018 | ASPDAC | An optimal gate design for the synthesis of ternary logic circuits. | Sunmean Kim, Taeho Lim, Seokhyeong Kang |
| 2018 | DATE | Fast chip-package-PCB coanalysis methodology for power integrity of multi-domain high-speed memory: A case study. | Seungwon Kim, Ki Jin Han, Youngmin Kim, Seokhyeong Kang |
| 2017 | DAC | Fast Predictive Useful Skew Methodology for Timing-Driven Placement Optimization. | Seungwon Kim, SangGi Do, Seokhyeong Kang |
| 2017 | ICCAD | GRASP based metaheuristics for layout pattern classification. | Mingyu Woo, Seungwon Kim, Seokhyeong Kang |
| 2016 | ICCD | Novel approximate synthesis flow for energy-efficient FIR filter. | Yesung Kang, Jaewoo Kim, Seokhyeong Kang |
| 2013 | DAC | Smart non-default routing for clock power reduction. | Andrew B. Kahng, Seokhyeong Kang, Hyein Lee |
| 2013 | DATE | Active-mode leakage reduction with data-retained power gating. | Andrew B. Kahng, Seokhyeong Kang, Bongil Park |
| 2013 | ICCAD | High-performance gate sizing with a signoff timer. | Andrew B. Kahng, Seokhyeong Kang, Hyein Lee, Igor L. Markov, Pankit Thapar |
| 2013 | ICCD | Statistical analysis and modeling for error composition in approximate computation circuits. | Wei-Ting Jonas Chan, Andrew B. Kahng, Seokhyeong Kang, Rakesh Kumar, John Sartori |
| 2012 | DAC | Accuracy-configurable adder for approximate arithmetic designs. | Andrew B. Kahng, Seokhyeong Kang |
| 2012 | DATE | MAPG: Memory access power gating. | Kwangok Jeong, Andrew B. Kahng, Seokhyeong Kang, Tajana Simunic Rosing, Richard D. Strong |
| 2012 | ICCAD | Sensitivity-guided metaheuristics for accurate discrete gate sizing. | Jin Hu, Andrew B. Kahng, Seokhyeong Kang, Myung-Chul Kim, Igor L. Markov |
| 2012 | ISLPED | TAP: token-based adaptive power gating. | Andrew B. Kahng, Seokhyeong Kang, Tajana Rosing, Richard D. Strong |
| 2010 | ASPDAC | Slack redistribution for graceful degradation under voltage overscaling. | Andrew B. Kahng, Seokhyeong Kang, Rakesh Kumar, John Sartori |
| 2010 | DAC | Recovery-driven design: a power minimization methodology for error-tolerant processor modules. | Andrew B. Kahng, Seokhyeong Kang, Rakesh Kumar, John Sartori |
| 2010 | HPCA | Designing a processor from the ground up to allow voltage/reliability tradeoffs. | Andrew B. Kahng, Seokhyeong Kang, Rakesh Kumar, John Sartori |