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ORCIDShuzhang Zhong
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2020 – today
- 2025
[c9]Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li:
SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. DAC 2025: 1-7- [c8]Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li:
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. DAC 2025: 1-7 - [c7]Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li:
H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference. ICCAD 2025: 1-9 - [c6]Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li:
HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. ICCAD 2025: 1-9 - [i9]Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li:
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference. CoRR abs/2504.05897 (2025) - [i8]Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li:
SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding. CoRR abs/2507.18181 (2025) - [i7]Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li:
H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference. CoRR abs/2508.16653 (2025) - [i6]Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li:
HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing. CoRR abs/2509.09420 (2025) - 2024
- [c5]Shuzhang Zhong
, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. ICCAD 2024: 51:1-51:9 - [c4]Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li:
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. ICCAD 2024: 202:1-202:8 - [c3]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. ICCAD 2024: 207:1-207:9 - [i5]Shuzhang Zhong, Zebin Yang, Meng Li, Ruihao Gong, Runsheng Wang, Ru Huang:
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding. CoRR abs/2402.13485 (2024) - [i4]Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference. CoRR abs/2408.10284 (2024) - [i3]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. CoRR abs/2410.09531 (2024) - [i2]Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Runsheng Wang, Meng Li:
PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. IACR Cryptol. ePrint Arch. 2024: 2021 (2024) - 2023
- [c2]Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang:
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD 2023: 1-9 - [i1]Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang:
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. CoRR abs/2308.13898 (2023) - 2021
- [c1]Tianyu Feng, Siyan Chen, Xin You, Shuzhang Zhong, Hailong Yang, Zhongzhi Luan, Depei Qian:
dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies. NPC 2021: 16-27
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