Linglong Kong

Full Professor, Math & Stat, University of Alberta

Joined

July 2019

Names

Linglong Kong

Emails

****@ualberta.ca (Confirmed)

Personal Links

Career & Education History

Full Professor

Math & Stat, University of Alberta (ualberta.ca)

2022 – Present

Associate Professor

Math & Stat, University of Alberta (ualberta.ca)

2018 – 2022

Assistant Professor

University of Alberta (ualberta.ca)

2012 – 2018

PhD student

Math & Stat, University of Alberta (ualberta.ca)

2003 – 2009

Advisors, Relations & Conflicts

PhD Advisee

Bang Liu

2015 – 2020

PhD Advisee

Wei Tu

2014 – 2020

PhD Advisee

Dengdeng Yu

2013 – 2017

PhD Advisor

Ivan Mizera

2003 – 2009

Expertise

No areas of expertise listed

Publications

A Bayesian Bootstrap Framework for Mutual Information Neural Estimation: Bridging Classical Mutual Information Learning and Bayesian Nonparametric Learning
Forough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang
- Accepted by TMLR
- Readers: Everyone
Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical
Yangdi Jiang, Xiaotian Chang, Lei Ding, Linglong Kong, Bei Jiang
- ICLR 2026 Poster
- Readers: Everyone
Maximum Probability-driven Bandit Learning for Matching Markets
Xinlu Li, Wenli Feng, Runqi You, Bei Jiang, Linglong Kong, Xiaodong Yan
- Submitted to ICLR 2026
- Readers: Everyone
A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis
Forough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang
- ICLR 2026 Poster
- Readers: Everyone
Measuring Invariance in Representation Learning: A Robust Evaluation Framework
Wenlu Tang, Shuxin Liang, Zicheng Liu, Ce Zhang, Linglong Kong
- Submitted to ICLR 2026
- Readers: Everyone
Achieving Fairness-Utility Trade-offs through Decoupling Direct and Indirect Bias
Pankaj Bhagwat, Enze Shi, Zhixian Yang, Bei Jiang, Linglong Kong
- Submitted to ICLR 2026
- Readers: Everyone
One-Shot Weighted Ensemble Estimation for Federated Quantile Regression: Optimal Statistical Guarantees under Heterogeneous Structured Data
Guang Yang, Bo Pan, Chengdi Lian, Xingcai Zhou, Linglong Kong, Yafei Wang, Bei Jiang
- Submitted to ICLR 2026
- Readers: Everyone
Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
Ke Sun, Hongming Zhang, Jun Jin, Chao Gao, Xi Chen, Wulong Liu, Linglong Kong
- ICLR 2026 Poster
- Readers: Everyone
Adaptive robust integration of internal data with external summaries under distributional shift
Kaiqiong Zhao, Hongwei Shi, Yanchun Bao, Bei Jiang, Linglong Kong
- Submitted to ICLR 2026
- Readers: Everyone
Online Continual Learning under Real Concept Drift: A Statistical Perspective
Haihan Xie, Jinhan Xie, Lingzhu Li, Chao Gao, Bei Jiang, Linglong Kong
- Submitted to ICLR 2026
- Readers: Everyone

View all 55 publications

Co-Authors

View all 91 co-authors