Welcome to 

Chenglin Fan's Webpage!

About Me



I am a Faculty working in Algorithms Theory and  Machine Learning . 

TO students: Please feel free to drop me an email if you are interested in  Theory and/or Machine Learning.


Previous: 



Postdoc: Sorbonne University.

 PhD:  UT Dallas.

Teaching: Algorithms for Big Data.

Research Interests:  Algorithms Theory,  Differential Privacy,   Machine Learning,  Optimization.

fanchenglin@gmail.com 


 Selected  Conference  Publications 


Vincent Cohen-Addad, Chenglin Fan, Suprovat Ghoshal, Euiwoong Lee, Arnaud de Mesmay, Alantha Newman, Tony Chang Wang.

SODA 2024.

2. k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy

Chenglin Fan, Ping Li, Xiaoyun Li.  

NeurIPS 2023.

3.LSDS++ : Dual Sampling for Accelerated k-means++

Chenglin Fan, Ping Li, Xiaoyun Li.      

 ICML 2023.

4. Improved Convergence of Differential Private SGD with Gradient Clipping

Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li.

ICLR 2023.

5. Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate

Chenglin Fan, Ping Li, Xiaoyun Li.

NeurIPS 2022.

6. Near-Optimal Correlation Clustering with Privacy  

Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski.

NeurIPS 2022.

7. Fitting Metrics and Ultrametrics with Minimum Disagreements

Vincent Cohen-Addad, Chenglin Fan, Euiwoong Lee,  Arnaud de Mesmay. 

FOCS 2022

8. On Facility Location Problem in Local Differential Privacy Model

Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan, Marco Gaboradi, Shi Li, Di Wang.

AISTATS 2022

9. Linear Expected Complexity for Directional and Multiplicative Voronoi Diagrams

Chenglin Fan, Benjamin Raichel.

ESA 2020

10. Fréchet  Distance for  Uncertain Curves

Kevin Buchin, Chenglin Fan, Maarten Löffler, Aleksandr Popov, Benjamin Raichel and Marcel Roeloffzen.

ICALP 2020. Also in ACM Transactions on Algorithms (TALG), 2023

11. Metric Violation Distance: Hardness and Approximation.  

Chenglin Fan, Benjamin Raichel, Gregory Van Buskirk.

SODA 2018. 

12. Computing the Fréchet Gap Distance.

Chenglin Fan, Benjamin Raichel. 

SoCG 2017 Also in Discrete & Computational Geometry, 2021.