Yehui Tang

According to our database, Yehui Tang authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach.

Nianzu Yang, Pandeng Li, Liming Zhao, Yang Li, Chen-Wei Xie, Yehui Tang, Xudong Lu, Zhihang Liu, Yun Zheng, Yu Liu, Junchi Yan

CoRR, March, 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

QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline.

Tianyi Bao, Ruizhe Zhong, Xinyu Ye, Yehui Tang, Junchi Yan

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

QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation.

Yehui Tang, Mabiao Long, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification.

Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan

Proceedings of the Forty-first International Conference on Machine Learning, 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

2022

Recent progress and perspectives on quantum computing for finance.

Yehui Tang, Junchi Yan, Guoqiang Hu, Baohua Zhang, Jinzan Zhou

Serv. Oriented Comput. Appl., 2022

From Quantum Graph Computing to Quantum Graph Learning: A Survey.

Yehui Tang, Junchi Yan, Edwin R. Hancock

CoRR, 2022

GraphQNTK: Quantum Neural Tangent Kernel for Graph Data.

Yehui Tang, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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