dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies. - Tianyu Feng; Siyan Chen; Xin You; Shuzhang Zhong; Hailong Yang 002; Zhongzhi Luan; Depei Qian (NPC, 2021)

Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. - Shuzhang Zhong; Meng Li 004; Yun Liang 001; Runsheng Wang; Ru Huang 001 (ICCAD, 2023)

AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. - Shuzhang Zhong; Ling Liang; Yuan Wang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. - Shuzhang Zhong; Zebin Yang; Ruihao Gong; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. - Tianshi Xu; Shuzhang Zhong; Wenxuan Zeng; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 2024)

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. - Shuzhang Zhong; Yanfan Sun; Ling Liang; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. - Linye Wei; Shuzhang Zhong; Songqiang Xu; Runsheng Wang; Ru Huang 001; Meng Li 004 (CoRR, 2025)