🧍‍♂️ Biography

I received the B.E. degree in Computer Science and Technology from Tongji University, Shanghai, China, in 2022. I am currently working toward the Eng.D. degree in Computer Science and Technology, University of Science and Technology of China, Suzhou, Jiangsu, China.

I was the recipient of the National Scholarship for Postgraduate at University of Science and Technology of China in 2023 and hold 1 Chinese invention patents.

My research interests include:

• AI Accelerators
• AI Compilers
• Agents for Systems

You can view my Chinese resume here: Resume

🔥 News

• 2026.11:  🎉🎉 A paper is accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF A)
• 2026.09:  🎉🎉 A paper is accepted by the Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS). (CCF A)
• 2026.02:  🎉🎉 A paper is accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF A)
• 2025.11:  🎉🎉 A paper is accepted by the the Fortieth AAAI Conference on Artificial Intelligence (AAAI). (CCF A)
• 2025.10:  🎉🎉 A paper is accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF A)
• 2025.01:  🎉🎉 A paper is accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF A)
• 2024.07:  🎉🎉 A paper is accepted by the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). (CCF A)
• 2024.02:  🎉🎉 A paper is accepted by the Proceedings of the 61st ACM/IEEE Design Automation Conference (DAC). (CCF A)
• 2023.11:  🎉🎉 A paper is accepted by the IEEE Transactions on Vehicular Technology (TVT).
• 2023.10:  🎉🎉 Received the National Scholarship for Postgraduate.

📝 Publications

Compass

Compass: Co-Exploration of Mapping and Hardware for Heterogeneous Multi-Chiplet Accelerators Targeting LLM Inference Service Workloads. TCAD 2025.

Boyu Li, Zongwei Zhu*, et al.

Keywords

• Chiplet
• LLM Inference Service
• Design Space Exploration
• Mapping Hardware Co-optimization

Magnifier

Magnifier: A Chiplet Feature-Aware Test Case Generation Method for Deep Learning Accelerators. TCAD 2025.

Boyu Li, Zongwei Zhu*, et al.

Keywords

• Dataflow Optimization
• Generative Adversarial Network (GAN)
• Multichiplet Accelerators
• Test Case Generation

MultiRuler

MultiRuler: A Multi-Dimensional Resource Modeling Method for Embedded Intelligent Systems of Autonomous Driving. TVT 2024.

Youqing Xu, Boyu Li(co-first author), Zongwei Zhu*, et al.

Keywords

• Autonomous Driving
• Resource Modeling
• Embedded Intelligent Devices
• Artificial Intelligence
• Computing Performance
• Memory Usage
• Power Consumption

Arch2End

Arch2End: Two-Stage Unified System-Level Modeling for Heterogeneous Intelligent Devices. TCAD 2025.

Weihong Liu, Zongwei Zhu*, Boyu Li, et al.

Keywords

• Device Grouping
• Distributed Embedded System (DES)
• End-to-end Inference
• Hardware Architecture
• Heterogeneous Device Modeling
• Latency Prediction
• Scheduling

MP3

MP3: Mixed-Precision Pipeline Parallelism Framework for Heterogeneous Edge Devices. TCAD 2026.

Yi Xiong, Weihong Liu, Boyu Li, et al.

Keywords

• Edge Computing
• Pipeline Parallelism
• Post Training Quantization
• Latency Modeling
• Accuracy Proxy

BP-FedPEFT

Memory-Efficient Federated Fine-Tuning of LLMs via Block-wise Progressive Training. NeurIPS 2026.

Qianyue Cao, Zongwei Zhu*, Boyu Li, et al.

Keywords

• Federated Fine-Tuning
• Memory-efficient computing
• Progressive training

PPFL

PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning. AAAI 2026.

Qianyue Cao, Zongwei Zhu*, Zirui Lian, Rui Zhang, Boyu Li, et al.

Keywords

• Personalized Federated Learning
• Non-iid
• Model Decoupling

AsyncGrid

AsyncGrid: An Intra- and Inter-Layer Asynchronous Hybrid Parallelism System for Responsive Edge LLM Inference. TCAD 2026.

Yi Xiong, Rui Zhang, Yulong Zu, Weihong Liu, Zongwei Zhu*, Jiawei Geng, Boyu Li, et al.

Keywords

• LLM Inference
• Edge Computing
• Model Parallelism
• Response Latency

eLLM

eLLM: Elastic Memory Management Framework for Efficient LLM Serving. DAC 2026.

Jiale Xu, Yi Xiong, Rui Zhang, Cong Guo, Zihan Liu, Yangjie Zhou, Weiming Hu, Hao Wu, Boyu Li, et al.

Keywords

• LLM Serving
• Memory Management
• Memory Virtualization

PowerLens

PowerLens: An Adaptive DVFS Framework for Optimizing Energy Efficiency in Deep Neural Networks. DAC 2024.

Jiawei Geng, Zongwei Zhu*, Weihong Liu, Xuehai Zhou, Boyu Li

Keywords

• DNNs
• Energy Efficiency
• Adaptive DVFS
• Power Characterization

🎖 Honors and Awards

• 2025.03 Suzhou Industrial Park Scholarship.
• 2023.10 National Scholarship.
• 2022.11 ICPC Asia Regional Contest, Bronze Medal.
• 2021.08 National Finals of the National College IoT Design Competition, First Prize.
• 2021.05 China Collegiate Programming Contest - Team Ladder Tournament, Second Prize (Individual).
• 2021.04 ICPC Asia Regional Contest, Bronze Medal.
• 2021.03 National College Student Innovation Training Program Project, Outstanding Completion.
• 2020.10 National Endeavor Scholarship.
• 2020.10 CCF Collegiate Computer Systems and Programming Competition (East China Region), Bronze Medal.
• 2020.09 CCF-CSP Computer Software Proficiency Certification, Score of 340 (Top 1.5%).

📖 Educations

• 2022.09 - 2027.06, Eng.D. University of Science and Technology of China, Computer Science and Technology.
• 2018.09 - 2022.06, B.E. Tongji University, Computer Science and Technology.