Ge Yan

According to our database, Ge Yan authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects.

Ge Yan, Wenjie Wu, Chen Yuheng, Kaisen Pan, Xudong Lu, Zhou Zixiang, Wang Yuhan, Ruocheng Wang, Junchi Yan

CoRR, 2024

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling.

Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan

CoRR, 2024

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms.

Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

VQNE: Variational Quantum Network Embedding with Application to Network Alignment.

Xinyu Ye, Ge Yan, Junchi Yan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver.

Xinyu Ye, Ge Yan, Junchi Yan

Proceedings of the International Conference on Machine Learning, 2023

Quantum 3D Graph Learning with Applications to Molecule Embedding.

Ge Yan, Huaijin Wu, Junchi Yan

Proceedings of the International Conference on Machine Learning, 2023

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms.

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

Proceedings of the International Conference on Machine Learning, 2023

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach.

Ge Yan, Yehui Tang, Junchi Yan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network.

Guanhao Wu, Xiaofeng Gao, Ge Yan, Guihai Chen

ACM Trans. Knowl. Discov. Data, 2021