Publications

(* indicates equal contribution)

✅ Published & Accepted

Jinhan Xie*, Enze Shi*, Peijun Sang, Zuofeng Shang, Bei Jiang, Linglong Kong. (2025+)
Scalable inference in functional linear regression with streaming data.
Annals of Statistics. Accepted.

Enze Shi, Pankaj Bhagwat, Zhixian Yang, Linglong Kong, Bei Jiang. (2025)
Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis.
NeurIPS 2025. Accepted.

Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong. (2025)
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning.
NeurIPS 2025. Accepted.

Enze Shi, Yi Liu, Ke Sun, Lingzhu Li, Linglong Kong. (2025)
An adaptive model checking test for the functional linear model.
Bernoulli 31 (2), 894–921, May 2025.

Enze Shi, Lei Ding, Linglong Kong, Bei Jiang. (2024)
Debiasing with Sufficient Projection: A General Theoretical Framework for Vector Representations.
NAACL 2024 (HLT, Volume 1: Long Papers).

Enze Shi, Jinhan Xie, Shenggang Hu, Ke Sun, Lingzhu Li, Hongsheng Dai, Bei Jiang, Linglong Kong. (2024)
Tracking Full Posterior in Online Bayesian Classification Learning: A Particle Filter Approach.
Journal of Nonparametric Statistics, 1–19.

Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang. (2024)
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach.
NeurIPS 2024.

Yang Hu, Lei Ding, Nicole Denier, Monideepa Tarafdar, Alla Konnikov, Karen Hughes, Shenggang Hu, Jabir Alshehabi Al-Ani, Enze Shi, Irina Rets, Hongsheng Dai, Linglong Kong, Bran Knowles, Dengdeng Yu, Bei Jiang, Malik Imran Ahmaed. (2024)
Language in job advertisements and the reproduction of labor force gender and racial segregation.
PNAS Nexus, pgae 526.

Enze Shi, Chuanju Xu. (2021)
A comparative investigation of neural networks in solving differential equations.
Journal of Algorithms & Computational Technology, 15, 1748302621998605.

📝 In Submission

Jinhan Xie*, Enze Shi*, Bei Jiang, Linglong Kong, Xuming He.
Online differentially private inference in stochastic gradient descent.
Under Review.

Enze Shi, Jinhan Xie, Bei Jiang, Linglong Kong, Xuming He.
Non-Asymptotic Analysis of Online Local Private Learning with SGD.
Under Review.

Enze Shi, Linglong Kong, Bei Jiang.
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks.
Under Review.

Pankaj Bhagwat, Enze Shi, Zhixian Yang, Bei Jiang, Linglong Kong.
Decoupling Fairness: A Flexible Framework for Addressing Direct and Indirect Bias with Improved Statistical Efficiency in Regression.
Under Review.