Publications
Google Scholar
(* for equal contribution)
Preprints and Working Papers
Developing and evaluating a chatbot to support maternal health care.
Smriti Jha, Vidhi Jain, Jianyu Xu, Grace Liu, Sowmya Ramesh, Jitender Nagpal, Grechen Chapman, Benjamin Bellows, Siddhartha Goyal, Aarti Singh, and Bryan Wilder.
In submission.
Pricing and Allocation with Service-Level Concerns. (link)
Jianyu Xu, Xuan Wang, Yu-Xiang Wang, Jiashuo Jiang.
arXiv: 2501.18049. In submission. Preliminary version being presented on NeurIPS 2025 MLxOR Workshop
NP-hardness of Tensor Network Contraction Ordering. (link)
Jianyu Xu, Hanwen Zhang, Lei Deng, Guoqi Li.
arXiv: 2310.06140
Conference Publications
Online Decision Making with Generative Action Sets. (link)
Jianyu Xu, Vidhi Jain, Bryan Wilder, Aarti Singh.
in ICLR 2026.
Dynamic Pricing with Adversarially-Censored Demands. (link)
Jianyu Xu, Yining Wang, Xi Chen, Yu-Xiang Wang.
in WINE 2025. (Oral Presentation, full version forwarding to Operations Research)
Pricing with Contextual Elasticity and Heteroscedastic Valuation. (link)
Jianyu Xu, Yu-Xiang Wang.
in ICML 2024. (Spotlight Presentation, top 3%)
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.
on TMLR 2023.
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.