Xiang Shu

According to our database, Xiang Shu authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dimension.

Hong Qian, Xiang Shu, Xiang Xia, Xuhui Liu, Yangde Fu, Bei Liang, Huibin Wang, Liang Dou

CoRR, May, 2026

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs.

Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Xingyu Lu, Jun Zhou, Pengfei Liu, Lintao Ma, Jiancan Wu, Xiang Wang

CoRR, April, 2026

2025

From Single Platform Crisis to Innocent Platform: The Impact of Ctrip's Price Discrimination on Tongcheng Platform.

Jing Yang, Kang Yang, Qiuying Gu, Ningnan Zhou, Yucheng Zhang, Xiang Shu

Proceedings of the E-Business. Generative Artificial Intelligence and Management Transformation, 2025

Relation-Augmented Dueling Bayesian Optimization via Preference Propagation.

Xiang Xia, Xiang Shu, Shuo Liu, Yiyi Zhu, Yijie Zhou, Weiye Wang, Bingdong Li, Hong Qian

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

SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization.

Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.

Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LaMP-Val: Large Language Models Empower Personalized Valuation in Auction.

Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.

Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu

CoRR, 2024

Automated Design Competition Technical Report: Cascaded Structure and Parameter Optimization Based on Prior Knowledge.

Xiang Shu, Yiyi Zhu, Renji Zhang, Xiang Xia, Bingdong Li, Hong Qian

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

High-Dimensional Dueling Optimization with Preference Embedding.

Yangwenhui Zhang, Hong Qian, Xiang Shu, Aimin Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

GWDGA: An Effective Adversarial DGA.

Xiang Shu, Chunjie Cao, Longjuan Wang, Fangjian Tao

Proceedings of the Frontiers in Cyber Security - 4th International Conference, 2021