About Me

Actively seeking industry research/HC positions and PhD opportunities. I am open to discussing potential collaborations and roles!

I am Tianshuo Lu (鲁天硕), a Master’s student (2023-2026) at Jiangnan University, advised by Prof. Zhilei Chai. Previously, I received my Bachelor’s degree from Jiangnan University in 2023.

I am honored to work in ICTLab during my master’s studies. My research interests include:

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  1. Model Compression & Lightweight Operators: Designing mixed-precision quantization, sparsity-aware operators, and lightweight models to balance accuracy and efficiency.
  2. Efficient Runtime &Compiler: Developing elastic runtimes, JIT compilers, and heterogeneous scheduling systems to optimize AI workloads on cluster or edge platforms.
  3. Software-Hardware Co-Design: Exploring customized RISC-V extensions, near-memory accelerators, and novel FPGA/ASICarchitectures for energy-efficient AI deployment.

📖 Educations

  • 2023.09 - 2026.06 (now) , Master of Engineering (Computer Science), School of Artificial Intelligence and Computing, Jiangnan University.
  • 2019.09 - 2023.06 , Bachelor of Science (Information and Computational Science), School of Science, Jiangnan University.

🎖 Honors and Awards

  • 2025.09 Graduate first-class scholarship in Jiangnan University.

🔥 News

  • 2025.09:  🎉🎉 1 Papers are accepted in TACO 2025 (CCF-A).
  • 2025.07:  🎉🎉 1 Papers are accepted by ACM TECS (CCF-B).
  • 2025.06:  🎉🎉 1 Papers are accepted by CGI 2025 (CCF-C).
  • 2025.03:  🎉🎉 2 Papers are accepted by FCCM 2025 (CCF-C).

📝 Publications

ACM TACO
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Efficient Flexible Edge Inference for Mixed-Precision Quantized DNN using Customized RISC-V Core

Tianshuo Lu, Jianyang Ding, Huachen Zhang, Bowen Jiang, Wei Xu, Zhilei Chai

CCF-A - Sep. 2025

ACM TECS
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CGI 2025
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Hybrid-SANet: Hybrid Self-Attention Transformer for Efficient Image Super-Resolution

Wei Xu, Jianyang Ding, Huachen Zhang, Tianshuo Lu, , Zhilei Chai

CCF-C - June 2025

FCCM 2025
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RV-ESMC: Efficient Sparse Matrix Convolution Processor based on RISC-V Custom instructions for Edge Platforms

Huachen Zhang, Jianyang Ding, Bowen Jiang, Tianshuo Lu, Wei Xu, Zhilei Chai

CCF-C - Mar. 2025

FCCM 2025
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EVO-QNN: Efficient Mixed-Precision Quantization Inference on RISC-V-Based Edge Device

Tianshuo Lu, Jianyang Ding, Huachen Zhang, Bowen Jiang, Wei Xu, Zhilei Chai

CCF-C - Mar. 2025