moTuner: a compiler-based auto-tuning approach for mixed-precision operators. - Zewei Mo; Zejia Lin 001; Xianwei Zhang 001; Yutong Lu (CF, 2022)

RollBin: reducing code-size via loop rerolling at binary level. - Tianao Ge; Zewei Mo; Kan Wu; Xianwei Zhang 001; Yutong Lu (LCTES, 2022)

KeSCo: Compiler-based Kernel Scheduling for Multi-task GPU Applications. - Zejia Lin 001; Zewei Mo; Xuanteng Huang; Xianwei Zhang 001; Yutong Lu (ICCD, 2023)

Integrated Qubit Reuse and Circuit Cutting for Large Quantum Circuit Evaluation. - Aditya Pawar; Yingheng Li; Zewei Mo; Yanan Guo 002; Youtao Zhang; Xulong Tang; Jun Yang 002 (CoRR, 2023)

Minimizing Photonic Cluster State Depth in Measurement-Based Quantum Computing. - Yingheng Li; Aditya Pawar; Zewei Mo; Youtao Zhang; Jun Yang 002; Xulong Tang (CoRR, 2023)

FMCC: Flexible Measurement-based Quantum Computation over Cluster State. - Yingheng Li; Aditya Pawar; Zewei Mo; Youtao Zhang; Jun Yang 002; Xulong Tang (ASPLOS (4), 2024)

QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting. - Aditya Pawar; Yingheng Li; Zewei Mo; Yanan Guo 002; Xulong Tang; Youtao Zhang; Jun Yang 002 (ASPLOS (4), 2024)

FCM: A Fusion-aware Wire Cutting Approach for Measurement-based Quantum Computing. - Zewei Mo; Yingheng Li; Aditya Pawar; Xulong Tang; Jun Yang 002; Youtao Zhang (DAC, 2024)