Hao Xiong

According to our database, Hao Xiong authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation.

Mabiao Long, Jiaxi Liu, Yufeng Li, Hao Xiong, Junchi Yan, Kefan Wang, Yi Cao, Jiandong Ding

CoRR, December, 2025

Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training.

Hao Xiong, Yebin Yang, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Tensor Network: from the Perspective of AI4Science and Science4AI.

Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation.

Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP.

Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark.

Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space.

Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Yehui Tang, Xinyu Ye, Junchi Yan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding.

Hao Xiong, Junchi Yan, Zengfeng Huang

IEEE Trans. Knowl. Data Eng., May, 2023

2022

BTWalk: Branching Tree Random Walk for Multi-Order Structured Network Embedding.

Hao Xiong, Junchi Yan

IEEE Trans. Knowl. Data Eng., 2022

2021

Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment.

Hao Xiong, Junchi Yan, Li Pan

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021