Publications
Google Scholar
(* for equal contribution)
Preprints and Working Papers
Online Dynamic Pricing with Inventory-Censored Demands.
Jianyu Xu, Yining Wang, Xi Chen, Yu-Xiang Wang.
In submission.
Data-driven Dynamic Pricing with procedural and sustantive fairness.
Jianyu Xu, Dan Qiao, Yining Wang, Xi Chen, Yu-Xiang Wang.
In submission.
Pricing with Contextual Elasticity and Heteroscedastic Valuation. (link)
Jianyu Xu, Yu-Xiang Wang.
arXiv: 2312.15999.
NP-hardness of Tensor Network Contraction Ordering. (link)
Jianyu Xu, Hanwen Zhang, Lei Deng, Guoqi Li.
arXiv: 2310.06140
Conference Publications
TheoremQA: A Theorem-driven Question Answering dataset. (link)
Chen, Wenhu, Ming Yin, Max Ku, Elaine Wan, Xueguang Ma, Jianyu Xu, Tony Xia, Xinyi Wang, and Pan Lu.
in EMNLP 2023.
Doubly Fair Dynamic Pricing. (link)
Jianyu Xu, Dan Qiao, and Yu-Xiang Wang.
in AISTATS 2023, arXiv: 2209.11837.
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise.
(link)
Jianyu Xu and Yu-Xiang Wang.
in AISTATS 2022. (Plenary Oral Presentation, top 3%)
Logarithmic Regret in Feature-based Dynamic Pricing. (link)
Jianyu Xu and Yu-Xiang Wang.
in NeurIPS 2021. (Spotlight Presentation, top 3%)
Journal Publications
Non-stationary Contextual Pricing with Safety Constraints.
Dheeraj Baby*, Jianyu Xu*, and Yu-Xiang Wang.
Transactions on Machine Learning Research (TMLR) 2022, available soon.
Fast Search of the Optimal Contraction Sequence in Tensor Networks. (link)
Ling Liang, Jianyu Xu, Lei Deng+, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie.
IEEE Journal of Selected Topics in Signal Processing 15, 574-586 (2021). (Cover Paper)
Towards a polynomial algorithm for optimal contraction sequence of tensor networks from trees. (link)
Jianyu Xu, Ling Liang, Lei Deng+, Changyun Wen, Yuan Xie and Guoqi Li+.
Physical Review E, 100.4 (2019): 043309.
Towards a unified framework of matrix derivatives. (link)
Jianyu Xu, Guoqi Li, Changyun Wen, Kun Wu, Lei Deng.
IEEE Access, 6 (2018): 47922-47934.