Conference Papers
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UPVSS: Jointly Managing Vector Similarity Search with Near-Memory Processing Systems
Chun-Chien Liu, Chun-Feng Wu, and Yunho Jin
ACM/IEEE Design Automation Conference (DAC), San Francisco, USA, Jun. 22‑25, 2025.
Top Conference — Acceptance Rate 23%
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P-DAC: Power-Efficient Photonic Accelerators for LLM Inference
Wen-Tse Chang, Chun-Feng Wu, and Yun-Chen Lo
ACM/IEEE Design Automation Conference (DAC), San Francisco, USA, Jun. 22‑25, 2025.
Top Conference — Acceptance Rate 23%
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ALISA: An Adaptive Learned Index Structure for Spatial Data on Solid-State Drives
Che-Wei Lin and Chun-Feng Wu
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), New Jersey, USA, Oct. 27‑31, 2024.
Top Conference — Acceptance Rate 24%
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How to Steal CPU Idle Time When Synchronous I/O Mode Becomes Promising
Chun-Feng Wu, Yuan-Hao Chang, Ming-Chang Yang, and Tei-Wei Kuo
ACM/IEEE Design Automation Conference (DAC), San Francisco, USA, Jun. 23‑27, 2024.
Top Conference — Acceptance Rate 23%
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S3: Increasing GPU Utilization during Generative Inference for Higher Throughput
Yunho Jin, Chun-Feng Wu, David Brooks, and Gu-Yeon Wei
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec. 10‑16, 2023.
Top Conference — Acceptance Rate 26.1%
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GraphRC: Accelerating Graph Processing on Dual-addressing Memory with Vertex Merging
Wei Cheng, Chun-Feng Wu, Yuan-Hao Chang, and Ing-Chao Lin
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), San Diego, USA, Oct. 30 – Nov. 3, 2022.
Top Conference — Acceptance Rate 22.5%
Journal Papers
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GEAR: Graph-Evolving Aware Data ArrangeR to Enhance the Performance of Traversing Evolving Graphs on SCM
Wen-Yi Wang, Chun-Feng Wu, Yun-Chih Chen, Tei-Wei Kuo, and Yuan-Hao Chang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 11, pp. 3674‑3684, Nov. 2024. (Integrated with ACM/IEEE CODES+ISSS'24)
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Accelerating Random Forest on Memory-Constrained Devices through Data Storage Optimization
Camelia Slimani, Chun-Feng Wu, Stephane Rubini, Yuan-Hao Chang, and Jalil Boukhobza
IEEE Transactions on Computers (TC), vol. 72, no. 6, pp. 1595‑1609, Jun. 2023
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RTrap: Trapping and Containing Ransomware with Machine Learning
Gaddisa Olani Ganfure, Chun-Feng Wu, Yuan-Hao Chang, and Wei-Kuan Shih
IEEE Transactions on Information Forensics and Security (TIFS), vol. 18, pp. 1433‑1448, Jan. 2023
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Exploring Synchronous Page Fault Handling
Yin-Chiuan Chen, Chun-Feng Wu, Yuan-Hao Chang, and Tei-Wei Kuo
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 11, pp. 3791‑3802, Nov. 2022. (Integrated with ACM/IEEE CODES+ISSS'22)