Chuan-Chi Wang

16 papers A 1B 1Misc 2Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Quantum-Inspired QAOA Solver for Knapsack Problems with 100-Qubit Scalability and 100, 000x Speedup.
RACS
Shan-Jung Hou, Chuan-Chi Wang, Po-Hsuan Huang, Chia-Heng Tu, Shih-Hao Hung
2025 — conf
Toward Efficient Quantum Circuit Simulation with Memory and I/O Reduction through Gate Block Search Algorithm.
RACS
Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung
2024 J jnl
Queen: A quick, scalable, and comprehensive quantum circuit simulation for supercomputing.
CoRR
Chuan-Chi Wang, Yu-Cheng Lin, Yan-Jie Wang, Chia-Heng Tu, Shih-Hao Hung
2024 J jnl
QueenV2: Future of Quantum Circuit Simulation.
CoRR
Chuan-Chi Wang
2024 J jnl
Toward cost-effective quantum circuit simulation with performance tuning techniques.
Connect. Sci.
Nai-Wei Hsu, Chuan-Chi Wang, Chia-Hsin Hsu, Chia-Heng Tu, Shih-Hao Hung
2024 Misc conf
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA.
SAC
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung
2023 J jnl
Towards Optimizations of Quantum Circuit Simulation for Solving Max-Cut Problems with QAOA.
CoRR
Yu-Cheng Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung
2023 — conf
Towards Scalable Quantum Circuit Simulation via RDMA.
RACS
Chia-Hsin Hsu, Chuan-Chi Wang, Nai-Wei Hsu, Chia-Heng Tu, Shih-Hao Hung
2022 B conf
Performance Acceleration of Secure Machine Learning Computations for Edge Applications.
RTCSA
Zi-Jie Lin, Chuan-Chi Wang, Chia-Heng Tu, Shih-Hao Hung
2022 — conf
TensorHE: a homomorphic encryption transformer for privacy-preserving deep learning.
RACS
Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Shih-Hao Hung
2022 J jnl
cuPSO: GPU Parallelization for Particle Swarm Optimization Algorithms.
CoRR
Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu, Shih-Hao Hung
2022 Misc conf
cuPSO: GPU parallelization for particle swarm optimization algorithms.
SAC
Chuan-Chi Wang, Chun-Yen Ho, Chia-Heng Tu, Shih-Hao Hung
2020 — conf
PerfNet: Platform-Aware Performance Modeling for Deep Neural Networks.
RACS
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung
2020 A conf
PerfNetRT: Platform-Aware Performance Modeling for Optimized Deep Neural Networks.
ICS
Ying-Chiao Liao, Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung
2020 J jnl
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks.
CoRR
Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung
2020 J jnl
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks.
CoRR
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao, Wen-Yew Liang, Shih-Hao Hung