Ge Yan

According to our database, Ge Yan authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization.

Ge Yan, Yuchen Wang, Junchi Yan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

QuanONet: Quantum Neural Operator with Application to Differential Equation.

Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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 Parity Check Enhanced Symmetry-Preserving Ansatz.

Ge Yan, Mengfei Ran, Ruocheng Wang, Kaisen Pan, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

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

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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 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