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Author

Shuzhang Zhong

Observed name: Zhong, Shuzhang
ORCID: 0009-0006-5478-3604
Observed ORCID: 0009-0006-5478-3604
OpenAlex ID: A5081222727
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference
2024 · Shuzhang Zhong, Ling Liang, et al. · 50
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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference
2025 · Shuzhang Zhong, Yanfan Sun, et al. · ACM/IEEE Design Automation Conference (DAC) · 33
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DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation
2026 · Zhong, Shuzhang, Lu, Baotong, et al. · arXiv (Cornell University) · 12
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ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding
2024 · Shuzhang Zhong, Zebin Yang, et al. · 11
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Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
2023 · Shuzhang Zhong, Meng Li, et al. · 7
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HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing
2025 · Haochen Huang, Shuzhang Zhong, et al. · 6
H 2 EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
2025 · Zizhuo Fu, Xiaotian Guo, et al. · 6
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PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
2024 · Tianshi Xu, Shuzhang Zhong, et al. · 4
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HBFlex: A Flexible Memory System for Bridging Fine-Grained LLM States and Coarse-Grained HBF Parallel Execution
2026 · Zhong, Shuzhang, Xu, Weikai, et al. · arXiv (Cornell University) · 3
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First Experimental Demonstration of Disturb-Free 3D Vertical 1T-nC-1T Ferroelectric-based KV Cache with Co-Optimization of Hybrid Analog-Digital CIM and Token-Wise Dynamic Pruning for Efficient Long-Context LLM Inference
2025 · Weikai Xu, Danyun Luo, et al. · Technical digest - International Electron Devices Meeting/Technical digest · 2
DIAMoND: Dynamic Inference for Adaptive Edge MOE with Heterogeneous In-NAND and Near-DRAM Compute Architecture
2026 · Ling Liang, Tianyang Luo, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 1
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration
2026 · Zhong, Shuzhang, Huang, Haochen, et al. · arXiv (Cornell University) · 1
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SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding
2025 · Linye Wei, Shuzhang Zhong, et al. · ACM/IEEE Design Automation Conference (DAC) · 1
dgQuEST: Accelerating Large Scale Quantum Circuit Simulation through Hybrid CPU-GPU Memory Hierarchies
2022 · Tianyu Feng, Siyan Chen, et al. · Lecture notes in computer science · 1
MAServeBench: Benchmarking Multi-Agent LLM Serving Systems with Hierarchical Collaboration Workloads
2026 · Qiu, Shengxuan, Huang, Haochen, et al. · arXiv (Cornell University)
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NASiC: 3D NAND-based CAM-Selected Multibit CIM Architecture for Efficient On-Device Mixture-of-Experts LLM Inference
2026 · Weikai Xu, Meng Li, et al. · ACM/IEEE Design Automation Conference (DAC)
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3-D 1T-nC-1T Ferroelectric-Based KV Cache for Efficient Long-Context LLM Inference
2026 · Weikai Xu, Danyun Luo, et al. · IEEE Transactions on Electron Devices
HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
2026 · Qiu, Shengxuan, Huang, Haochen, et al. · arXiv (Cornell University)
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HDA-MoE: Hybrid Parallelism and Dynamic, Adaptive Scheduling for Mixture-of-Experts with 3D Near-Memory Processing
2026 · Haochen Huang, Shuzhang Zhong, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Works count: 21
Citation count: 145
H-index: 6
I10-index: 4
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