Education

• 

  B.S.E. in Computer Engineering

  College of Engineering

  University of Michigan

  GPA: 4.0/4.0

  2024 - 2026
• 

  B.S. in Mechanical Engineering

  University of Michigan-Shanghai Jiao Tong University Joint Institute

  Shanghai Jiao Tong University, Shanghai

  Core GPA: 3.65/4.0

  2022 - 2026

Honors and Awards

• • Summer Undergraduate Research in Engineering (SURE) Stipend, University of Michigan
  2025/05
• • Dean's Honor List at College of Engineering, University of Michigan
  2024/12, 2025/05

Research Experience

• TurnRL: RL-Driven Turn-Restricted Adaptive Routing for Chiplet-Based Systems
  
  • Advisor: Nathaniel Bleier
  • Developed fast turn-addition algorithms and baselines for arbitrary topologies.
  • Applied Deep Q-Learning to learn optimal turn sets under different traffic patterns.
  • Evaluated with gem5 Garnet and PARSEC workloads; demonstrated robust latency reduction and scalability.
  2024/09 - Present
• Long-Context LLM Inference Acceleration with ANNS Search
  
  • Advisors: Jishen Zhao, Zhijian Liu
  • Proposed a CPU-GPU heterogeneous ANN pipeline for efficient KV-cache retrieval.
  • Exploited inter-layer query similarity via cross-layer cluster reuse, forming a cross-layer search pipeline.
  2025/05 - Present
• 3D Multi-Physics Modeling of Li-ion Batteries
  
  • Advisor: Yanming Wang
  • Built a comprehensive 3D electrochemical-thermal-mechanical model of lithium-ion cells.
  • Predicted battery aging behavior, enabling more accurate performance and longevity assessment.
  2023/02 - 2024/02

Publications

• Mozart: Ecosystem-Accelerator Codesign Framework
  
  • H. Jin, J. Yang, Y. Liu, B. Lyu, K. Zhang, N. Bleier.
  • Mozart: An Ecosystem-Accelerator Codesign Framework for Composable Heterogeneous Chiplet Based Neural Network Accelerators.
  • ASPLOS 2026, under review.
  2026

Intellectual Property

• PyBatSim V1.0
  Multi-physics Simulation Software for Li-ion Cells
  • Developed a 3D coupled electrochemical-thermal-mechanical simulation tool for lithium-ion cells.
  • Registered as a software copyright with the China National Copyright Administration.
  2024/10

Course Projects

• EECS 470
  Out-of-Order RISC-V Superscalar Processor
  • Advisors: Krisztian Flautner, Ronald G. Dreslinski
  • Proposed framework for RTL design on MIPS R10K microarchitecture with RV32-IM ISA.
  • Developed advanced features: N-way superscalar execution, early branch resolution, early tag broadcast, prefetching, non-blocking associative caches, and a cycle-accurate simulator.
  • Integrated advanced branch prediction subsystems: TAGE, perceptron, and CNN-based predictors, along with a BTB and RAS.
  • Achieved an average CPI of 1.5 under 10ns clock; final system ranked top 2 of the course.
  2025/02 - 2025/05
• EECS 570
  Parallel Global Router for VLSI
  • Advisor: Satish Narayanasamy
  • Developing a parallelized global router for VLSI designs using CPU and GPU acceleration.
  • Implementing Steiner tree construction, maze routing, and 3-bend routing algorithms with performance optimization.
  • Evaluating on ISPD benchmark circuits for runtime scalability and routing quality metrics.
  Ongoing
• EECS 573
  Adaptive Feature Selection for Heterogeneous Core Scheduling
  • Advisor: Todd Austin
  • Extended GEM5/QEMU to extract comprehensive MICA features and modeled realistic migration costs.
  • Designed an information-theoretic feature selection framework to identify Pareto-optimal MICA subsets balancing accuracy and overhead.
  Ongoing
• EECS 471
  GPU Optimization of CNN Forward Pass
  • Advisor: Reetuparna Das
  • Implemented the forward pass of a convolutional neural network (CNN) layer in CUDA with performance-critical kernels.
  • Applied shared memory tiling, register-level GEMM transformations, and loop unrolling, reducing runtime from 13.5s to 0.11s.
  2025/03 - 2025/04

Coursework (blue = graduate standing)