Chenglin Fan

Assistant Professor, Seoul National University

Joined

May 2021

Names

Chenglin Fan (Preferred)

Emails

****@163.com (Confirmed)

Personal Links

DBLP

Career & Education History

Assistant Professor

Seoul National University (snu.ac.kr)

2024 – Present

Visiting Researcher

Research, Baidu (research.baidu.com)

2021 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

Differential Privacy

2019 – Present

Algorithm

2014 – Present

Publications

Learning-Augmented Ski Rental with Discrete Distributions: A Bayesian Approach
Bosun Kang, Chenglin Fan
- AAAI
- Readers: Everyone
Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering
Chenglin Fan, Dahoon Lee, Euiwoong Lee
- NeurIPS 2025 poster
- Readers: Everyone
Median Selection with Noisy and Structural Information
Chenglin Fan, Mingyu Kang
- NeurIPS 2025 poster
- Readers: Everyone
A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances
Zongrui Zou, Chenglin Fan, Michael Dinitz, Jingcheng Liu, Jalaj Upadhyay
- NeurIPS 2025 poster
- Readers: Everyone
LSDS++ : Dual Sampling for Accelerated k-means++
Chenglin Fan, Ping Li, Xiaoyun Li
- ICML 2023 Poster
- Readers: Everyone
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
Chenglin Fan, Ping Li, Xiaoyun Li
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Improved Convergence of Differential Private SGD with Gradient Clipping
Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate
Chenglin Fan, Ping Li, Xiaoyun Li
- Published: 31 Oct 2022, Last Modified: 28 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
k-Median Clustering via Metric Embedding: Towards Better Initialization with Privacy
Chenglin Fan, Ping Li, Xiaoyun Li
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone