Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. - Hao Xiong 003; Junchi Yan; Li Pan 002 (KDD, 2021)

BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding. - Hao Xiong 003; Junchi Yan (IEEE Trans. Knowl. Data Eng., 2022)

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. - Hao Xiong 003; Junchi Yan; Zengfeng Huang (IEEE Trans. Knowl. Data Eng., 2023)

Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. - Hao Xiong 003; Yehui Tang; Xinyu Ye; Junchi Yan (CVPR, 2024)

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. - Hao Xiong 003; Yehui Tang; Yunlin He; Wei Tan; Junchi Yan (ICLR, 2024)

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. - Yehui Tang; Hao Xiong 003; Nianzu Yang; Tailong Xiao; Junchi Yan (ICLR, 2024)

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. - Wenzheng Pan; Hao Xiong 003; Jiale Ma; Wentao Zhao; Yang Li 197; Junchi Yan (ICLR, 2025)

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. - Xinyu Ye; Hao Xiong 003; Jianhao Huang; Ziang Chen; Jia Wang; Junchi Yan (ICLR, 2025)