Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network. - Guanhao Wu; Xiaofeng Gao 001; Ge Yan 001; Guihai Chen (ACM Trans. Knowl. Discov. Data, 2021)

Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. - Ge Yan 001; Yehui Tang; Junchi Yan (KDD, 2022)

QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. - Xudong Lu; Kaisen Pan; Ge Yan 001; Jiaming Shan; Wenjie Wu; Junchi Yan (ICML, 2023)

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. - Wenjie Wu; Ge Yan 001; Xudong Lu; Kaisen Pan; Junchi Yan (ICML, 2023)

Quantum 3D Graph Learning with Applications to Molecule Embedding. - Ge Yan 001; Huaijin Wu; Junchi Yan (ICML, 2023)

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. - Xinyu Ye; Ge Yan 001; Junchi Yan (ICML, 2023)

VQNE: Variational Quantum Network Embedding with Application to Network Alignment. - Xinyu Ye; Ge Yan 001; Junchi Yan (KDD, 2023)

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling. - Wenjie Wu; Yiquan Wang; Ge Yan 001; Yuming Zhao; Bo Zhang 069; Junchi Yan (ICCAD, 2024)

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. - Ge Yan 001; Hongxu Chen; Kaisen Pan; Junchi Yan (ICLR, 2024)

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz. - Ge Yan 001; Mengfei Ran; Ruocheng Wang; Kaisen Pan; Junchi Yan (NeurIPS, 2024)

On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. - Wenjie Wu; Yiquan Wang; Ge Yan 001; Yuming Zhao; Junchi Yan (CoRR, 2024)

Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. - Ge Yan 001; Wenjie Wu; Chen Yuheng; Kaisen Pan; Xudong Lu; Zhou Zixiang; Wang Yuhan; Ruocheng Wang; Junchi Yan (CoRR, 2024)