Shuzhang Zhong

PhD student, Peking University

Joined

January 2026

Names

Shuzhang Zhong (Preferred)

Emails

****@stu.pku.edu.cn (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Peking University (stu.pku.edu.cn)

2023 – 2028

Advisors, Relations & Conflicts

PhD Advisor

Meng Li

Present

Coauthor

Baotong Lu

Present

Expertise

No areas of expertise listed

Publications

HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction
Shengxuan Qiu, Haochen Huang, Shuzhang Zhong, Pengfei Zuo, Meng Li
- AdaptFM Poster
- Readers: Everyone
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference
Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
- DAC 2025
- Readers: Everyone
HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing
Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
- ICCAD 2025
- Readers: Everyone
SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding
Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, Meng Li
- DAC 2025
- Readers: Everyone
HEAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
- ICCAD 2025
- Readers: Everyone
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference
Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
- ICCAD 2024
- Readers: Everyone
ProPD: Dynamic Token Tree Pruning and Generation for LLM Parallel Decoding
Shuzhang Zhong, Zebin Yang, Ruihao Gong, Runsheng Wang, Ru Huang, Meng Li
- ICCAD 2024
- Readers: Everyone
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
- ICCAD 2023
- Readers: Everyone