Clement Wang

Welcome to my personal website where I share my thoughts and projects
Delivery Date Estimation Model at Mirakl

Delivery Date Estimation Model at Mirakl

Building a Time Series Forecasting Model for Marketplace Orders

Mirakl is a French unicorn and global leader in enterprise marketplace solutions. Its technology enables leading retailers, manufacturers, and B2B companies to launch and scale online marketplaces ...

Posted by Clement Wang on October 7, 2025

Training a Foundation Model for EEG Time Series at Beacon Biosignals

Training a Foundation Model for EEG Time Series at Beacon Biosignals ⭐ ⭐

Reaching over 80% Sleep Staging Accuracy with 5% of the annotated data

Project Overview This work was conducted during my Master’s thesis internship at Beacon Biosignals, an American company developing healthcare solutions for analyzing sleep brain activity. My resea...

Posted by Clement Wang on October 15, 2024

Nash Equilibrium Finding at Google DeepMind

Nash Equilibrium Finding at Google DeepMind ⭐ ⭐

Accelerating FoReL Convergence with Population-Based Methods

Project Overview During my final year at CentraleSupélec, I had the opportunity to collaborate with Google DeepMind on a research project (Oct 2023 – Apr 2024) focused on improving the convergence...

Posted by Clement Wang on May 15, 2024

Aspect-Based Sentiment Analysis

Aspect-Based Sentiment Analysis

Understanding Sentiment with Respect to Specific Aspects

Project Overview As part of the NLP course at Naver Labs Europe, we tackled aspect-based sentiment analysis. The task is to classify a sentence’s sentiment (positive / negative / neutral) with res...

Posted by Clement Wang on April 15, 2024

Graph Neural Network Benchmark on Twitch Dataset

Graph Neural Network Benchmark on Twitch Dataset

Benchmarking Different GNNs on Multiple Classification and Regression Tasks

Project Overview This project was carried out as part of the Machine Learning on Network Science course taught by Fragkiskos Malliaros. Our goal was to benchmark several Graph Neural Network (GNN)...

Posted by Clement Wang on April 15, 2024

Playing Flappy Bird with Reinforcement Learning

Playing Flappy Bird with Reinforcement Learning

Q-Learning and Monte Carlo Control for Text Flappy Bird

Project Overview As part of the Reinforcement Learning course by Stergios Christodoulidis, I implemented reinforcement learning algorithms to train an agent to play Text Flappy Bird (TFB), a simpl...

Posted by Clement Wang on April 15, 2024

Prey Predator Simulation with MADDPG

Prey Predator Simulation with MADDPG ⭐

Multi-Agent Reinforcement Learning for Cooperative Behavior

Project Overview This project simulates a prey-predator ecosystem using multi-agent reinforcement learning. We apply the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm to learn ...

Posted by Clement Wang on April 1, 2024

Averaging Weights Leads to Wider Optima and Better Generalization

Averaging Weights Leads to Wider Optima and Better Generalization

Experimenting with Stochastic Weight Averaging (SWA)

Project Overview This project was part of the Bayesian Machine Learning course taught by Rémi Bardenet. Together with Thomas Lemercier, I reimplemented the paper “Averaging Weights Leads to Wider ...

Posted by Clement Wang on March 15, 2024

Lymphocytosis Classification

Lymphocytosis Classification

Detection of Tumoral Lymphocytosis from Blood Smears

Project Overview This project aimed to build a classifier to detect tumoral lymphocytosis using blood smear images and patient metadata. The dataset, collected at Lyon Sud University Hospital, inc...

Posted by Clement Wang on March 1, 2024

Implicit Acceleration by Overparameterization

Implicit Acceleration by Overparameterization

Stacking Linear Layers Improves Training?

Project Overview This project was part of the Theoretical Principles of Deep Learning course taught by Hedi Hadiji. Together with Guillaume Levy, I reimplemented the experiments of the paper: Aro...

Posted by Clement Wang on February 15, 2024

FEATURED TAGS
Student organization Deep Learning Student project Computer Vision Development Gap year Automatants Healthcare AI Optimization Game Internship Machine Learning Time Series Competition Reinforcement Learning Transformers AWS Consulting Contrastive Learning Graph Neural Networks Image Generation Infrastructure Multi-Agent Learning Natural Language Processing Team Management
ABOUT ME

Looking for challenges
PhD Student on Graph Representation Learning @ IP Paris / Mirakl