Kuan-Hsun Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
15
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ETS | Efficient Hash-to-Index via Rejection Sampling for Online Fault Detection with Bloom/Cuckoo Filters. | Elijah Seth Cishugi, Kuan-Hsun Chen, Marco Ottavi |
| 2026 | RTAS | Releaser Design and Schedulability Analysis for Care-Taking Tasks in Real-Time Systems. | Nils Hlscher, Kay Heider, Georg von der Brggen, Mario Gnzel, Kuan-Hsun Chen, Jian-Jia Chen |
| 2025 | DATE | TrackScorer: Skyrmion Logic-in-Memory Accelerator for Tree-Based Ranking Models. | Elijah Seth Cishugi, Sebastian Buschjger, Martijn Noorlander, Marco Ottavi, Kuan-Hsun Chen |
| 2025 | DATE | REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based Attacks. | Hassan Nassar, Ming-Liang Wei, Chia-Lin Yang, Jrg Henkel, Kuan-Hsun Chen |
| 2025 | ECRTS | Theoretical Foundations of Utility Accrual for Real-Time Systems. | Jian-Jia Chen, Junjie Shi, Mario Gnzel, Georg von der Brggen, Kuan-Hsun Chen, Peter Bella |
| 2025 | EuroPar | Wedge-Parallel Triangle Counting for GPUs. | Jeffrey Spaan, Kuan-Hsun Chen, David A. Bader, Ana Lucia Varbanescu |
| 2025 | IOLTS | Bloom Filters for Soft Error Detection: Neutron and Fault Injection Validation. | Elijah Seth Cishugi, Tijmen T. Smit, Bruno E. Forlin, Carlo Cazzaniga, Kuan-Hsun Chen, Marco Ottavi |
| 2024 | DATE | Lightweight Instrumentation for Accurate Performance Monitoring in RTOSes. | Bruno Endres Forlin, Kuan-Hsun Chen, Nikolaos Alachiotis, Luca Cassano, Marco Ottavi |
| 2024 | DATE | FLInt: Exploiting Floating Point Enabled Integer Arithmetic for Efficient Random Forest Inference. | Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen |
| 2024 | ICCAD | Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications. | Jrg Henkel, Lokesh Siddhu, Hassan Nassar, Lars Bauer, Jian-Jia Chen, Christian Hakert, Tristan Taylan Seidl, Kuan-Hsun Chen, Xiaobo Sharon Hu, Mengyuan Li, Chia-Lin Yang, Ming-Liang Wei |
| 2023 | CASES | Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning Applications. | Jrg Henkel, Lokesh Siddhu, Lars Bauer, Jrgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jernimo Castrilln, Asif Ali Khan, Hamid Farzaneh, Joo Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng |
| 2023 | ECRTS | On the Equivalence of Maximum Reaction Time and Maximum Data Age for Cause-Effect Chains. | Mario Gnzel, Harun Teper, Kuan-Hsun Chen, Georg von der Brggen, Jian-Jia Chen |
| 2023 | RTAS | Scheduling Periodic Segmented Self-Suspending Tasks without Timing Anomalies. | Ching-Chi Lin, Mario Gnzel, Junjie Shi, Tristan Taylan Seidl, Kuan-Hsun Chen, Jian-Jia Chen |
| 2023 | RTAS | Average Task Execution Time Minimization under (m, k) Soft Error Constraint. | Junjie Shi, Niklas Ueter, Jian-Jia Chen, Kuan-Hsun Chen |
| 2023 | RTCSA | Timing-Aware ROS 2 Architecture and System Optimization. | Harun Teper, Tobias Betz, Georg von der Brggen, Kuan-Hsun Chen, Johannes Betz, Jian-Jia Chen |
| 2023 | RTNS | Timing Analysis of Cause-Effect Chains with Heterogeneous Communication Mechanisms. | Mario Gnzel, Niklas Ueter, Kuan-Hsun Chen, Jian-Jia Chen |
| 2022 | ASPDAC | This is SPATEM! A Spatial-Temporal Optimization Framework for Efficient Inference on ReRAM-based CNN Accelerator. | Yen-Ting Tsou, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng, Jian-Jia Chen, Der-Yu Tsai |
| 2022 | ECRTS | Unikernel-Based Real-Time Virtualization Under Deferrable Servers: Analysis and Realization. | Kuan-Hsun Chen, Mario Gnzel, Boguslaw Jablkowski, Markus Buschhoff, Jian-Jia Chen |
| 2022 | RTSS | Critical Instant for Probabilistic Timing Guarantees: Refuted and Revisited. | Kuan-Hsun Chen, Mario Gnzel, Georg von der Brggen, Jian-Jia Chen |
| 2022 | RTSS | EDF-Like Scheduling for Self-Suspending Real-Time Tasks. | Mario Gnzel, Georg von der Brggen, Kuan-Hsun Chen, Jian-Jia Chen |
| 2021 | DAC | BLOwing Trees to the Ground: Layout Optimization of Decision Trees on Racetrack Memory. | Christian Hakert, Asif Ali Khan, Kuan-Hsun Chen, Fazal Hameed, Jernimo Castrilln, Jian-Jia Chen |
| 2021 | DATE | Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. | Sebastian Buschjger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Gnzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla |
| 2021 | DATE | Future Computing Platform Design: A Cross-Layer Design Approach. | Hsiang-Yun Cheng, Chun-Feng Wu, Christian Hakert, Kuan-Hsun Chen, Yuan-Hao Chang, Jian-Jia Chen, Chia-Lin Yang, Tei-Wei Kuo |
| 2021 | DATE | FeFET and NCFET for Future Neural Networks: Visions and Opportunities. | Mikail Yayla, Kuan-Hsun Chen, Georgios Zervakis, Jrg Henkel, Jian-Jia Chen, Hussam Amrouch |
| 2021 | RTSS | Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. | Georg von der Brggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Bjrn B. Brandenburg |
| 2021 | RTSS | Work-in-Progress: Evaluation Framework for Self-Suspending Schedulability Tests. | Mario Gnzel, Harun Teper, Kuan-Hsun Chen, Georg von der Brggen, Jian-Jia Chen |
| 2021 | RTAS | Timing Analysis of Asynchronized Distributed Cause-Effect Chains. | Mario Gnzel, Kuan-Hsun Chen, Niklas Ueter, Georg von der Brggen, Marco Drr, Jian-Jia Chen |
| 2020 | ASPDAC | Software-Based Memory Analysis Environments for In-Memory Wear-Leveling. | Christian Hakert, Kuan-Hsun Chen, Mikail Yayla, Georg von der Brggen, Sebastian Blmeke, Jian-Jia Chen |
| 2020 | ECRTS | Offloading Safety- and Mission-Critical Tasks via Unreliable Connections. | Lea Schnberger, Georg von der Brggen, Kuan-Hsun Chen, Benjamin Sliwa, Hazem Youssef, Aswin Karthik Ramachandran Venkatapathy, Christian Wietfeld, Michael ten Hompel, Jian-Jia Chen |
| 2020 | SISAP | Using a Set of Triangle Inequalities to Accelerate K-means Clustering. | Qiao Yu, Kuan-Hsun Chen, Jian-Jia Chen |
| 2019 | DATE | Efficient Computation of Deadline-Miss Probability and Potential Pitfalls. | Kuan-Hsun Chen, Niklas Ueter, Georg von der Brggen, Jian-Jia Chen |
| 2018 | ECRTS | Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. | Georg von der Brggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik |
| 2018 | ICDM | Realization of Random Forest for Real-Time Evaluation through Tree Framing. | Sebastian Buschjger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik |
| 2018 | RTAS | Shared-Resource-Centric Limited Preemptive Scheduling: A Comprehensive Study of Suspension-Based Partitioning Approaches. | Zheng Dong, Cong Liu, Soroush Bateni, Kuan-Hsun Chen, Jian-Jia Chen, Georg von der Brggen, Junjie Shi |
| 2018 | RTCSA | Analysis of Deadline Miss Rates for Uniprocessor Fixed-Priority Scheduling. | Kuan-Hsun Chen, Georg von der Brggen, Jian-Jia Chen |
| 2018 | RTCSA | Schedulability Analysis and Priority Assignment for Segmented Self-Suspending Tasks. | Lea Schnberger, Wen-Hung Huang, Georg von der Brggen, Kuan-Hsun Chen, Jian-Jia Chen |
| 2016 | RTSS | Systems with Dynamic Real-Time Guarantees in Uncertain and Faulty Execution Environments. | Georg von der Brggen, Kuan-Hsun Chen, Wen-Hung Huang, Jian-Jia Chen |