| Parallel greedy algorithm to multiple influence maximization in social network G Wu, X Gao, G Yan, G Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (3), 1-21, 2021 | 21 | 2021 |
| QuantumDARTS: differentiable quantum architecture search for variational quantum algorithms W Wu, G Yan, X Lu, K Pan, J Yan International Conference on Machine Learning, 37745-37764, 2023 | 6 | 2023 |
| Towards quantum machine learning for constrained combinatorial optimization: a quantum QAP solver X Ye, G Yan, J Yan International Conference on Machine Learning, 39903-39912, 2023 | 5 | 2023 |
| Towards a native quantum paradigm for graph representation learning: A sampling-based recurrent embedding approach G Yan, Y Tang, J Yan Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
| Quantum 3D graph learning with applications to molecule embedding G Yan, H Wu, J Yan International Conference on Machine Learning, 39126-39137, 2023 | 2 | 2023 |
| QAS-bench: rethinking quantum architecture search and a benchmark X Lu, K Pan, G Yan, J Shan, W Wu, J Yan International Conference on Machine Learning, 22880-22898, 2023 | 2 | 2023 |
| VQNE: Variational Quantum Network Embedding with Application to Network Alignment X Ye, G Yan, J Yan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling W Wu, Y Wang, G Yan, Y Zhao, J Yan arXiv preprint arXiv:2404.07882, 2024 | | 2024 |
Junchi YanFIET & Prof., Shanghai Jiao Tong University (2018-), RSM of IBM Research (2011-2018)Verified email at cs.sjtu.edu.cn
