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:
- Model Compression & Lightweight Operators: Designing mixed-precision quantization, sparsity-aware operators, and lightweight models to balance accuracy and efficiency.
- Efficient Runtime &Compiler: Developing elastic runtimes, JIT compilers, and heterogeneous scheduling systems to optimize AI workloads on cluster or edge platforms.
- 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

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

Huachen Zhang, Jianyang Ding, Bowen Jiang, Tianshuo Lu, Wei Xu, Zhilei Chai
CCF-B - July 2025

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

Huachen Zhang, Jianyang Ding, Bowen Jiang, Tianshuo Lu, Wei Xu, Zhilei Chai
CCF-C - Mar. 2025

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