I am a third-year graduate student at ReThinkLab@SJTU, advised by Prof. Junchi Yan. I received my bachelor’s degree with honor from Automation (Direction of Artificial Intelligence), Shanghai Jiao Tong University in 2022.

I won the National Scholarship for Graduate Students in 2023 and 2024, and the National Scholarship for Undergraduate Students in 2021.

My research interest includes machine learning and quantum computing. For more information about me, you can view my CV.

🔥 News

• 2024.09:  🎉🎉 I was invited as a reviewer for ICLR 2025.
• 2024.06:  🎉🎉 Our NAQJS is accepted by ICCAD 2024.
• 2023.09:  🎉🎉 I was invited as a reviewer for ICLR 2024.
• 2023.05:  🎉🎉 I was invited as a reviewer for NeurIPS 2023.
• 2023.04:  🎉🎉 Our QuantumDARTS and QAS-Bench are accepted by ICML 2023.

📝 Publications

ICCAD 2024

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling

Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, and Junchi Yan

• A noise-aware quantum job scheduler to reduce the execution latency of superconducting quantum processors.

ICML 2023

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms

Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan

• An efficient Quantum Architecture Search (QAS) algorithm using Gumbel-Softmax.

ICML 2023

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark

Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan

• A public Quantum Architecture Search (QAS) benchmark including 900 random QCs and 400 random unitary matrices.

• In submission “DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models”, Renqiu Xia, …, Wenjie Wu, et al.
• Arxiv “Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation”, Wenjie Wu, Changjun Fan, Jincai Huang, Zhong Liu, and Junchi Yan

🎖 Honors and Awards

• 2023 Grand Prize in Quantum Computing Track of ”Challenge Cup” National Contest (Top 5).
• 2023 First Prize in CCF ”Sinan Cup” Quantum Computing Contest.
• 2023 - 2024 National Scholarship for Graduate Students (Top 1%).
• 2022 - 2023 National Scholarship for Graduate Students (Top 1%).
• 2022 Outstanding Graduates of Shanghai Jiao Tong University.
• 2020 - 2021 National Scholarship for Undergraduate Students (Top 1%).

📖 Educations

• 2022.09 - Present. M.E. in Control Science and Engineering, SJTU, China. Advisor: Junchi Yan.
• 2018.09 - 2022.06. B.E. in Automation (Direction of Artificial Intelligence) with honor, SJTU, China. Minor: Computer Science.

💻 Internships

• 2024.06 - 2024.10, ByteDance, China.
• 2024.03 - 2024.06, Shanghai AI Laboratory, China.
• 2021.11 - 2022.02, XYZ Robotics, China.
• 2021.07, Hikvision, China.

📄 Research Experiences

• 2021.08 - Present, working as a research intern, and then a graduate student in ReThinkLab, SJTU, advised by Prof. Junchi Yan.
• 2021.04 - 2021.07, working as a research intern in MARS Lab, TsingHua University, advised by Prof. Hang Zhao.
• 2020.07 - 2021.03, working as a research intern in Department of Electronic Engineering, SJTU, advised by Prof. Bingbing Ni.
• 2019.04 - 2020.04, participating in SJTU PRP program in PAMI Lab, SJTU, advised by Prof. Yu Qiao.