Improving Question Answering with Knowledge Graphs

NLP Course Project at UCL, Feb 2019 - Mar. 2019.

Inspired by (Zhong et al., 2018), we propose to extract concept graphs from sentences and use the graph structures to answer commonsense-based questions. Our method obtained an accuracy of 62.56% (an absolute improvement of 1.05% over the vanilla BERT-based model). We also introduce some handcrafted rules to reformulate questions, which results in a higher accuracy of 63.93%.

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Human Activity Recognition with SVM

Numerical Optimization Course Project at UCL, May 2019 - May 2019.

In this project, sequential minimal optimization and augmented Lagrangian method are implemented to solve the dual problem of SVM. Human Activity Recognition Dataset is used to test multi-class kernel SVM performance and different kernels, optimization methods, multi-class methods, and regularization are studied.

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Playing Atari with Deep Reinforcement Learning

Research Project at Ecole Polytechnique, Oct. 2017 - Mar. 2018.

This project is mainly based on (Oh et al., 2015). I reimplemented the algorithm using Keras and Tensorflow and tested multiple different research ideas on auto-encoder. Some studies are also carried out on VAE and A3C.

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NLP Course Project at Ecole Polytechnique, Feb. 2018 - Mar. 2018.

In this project, we extract both structure-based (neighbourhood, node2vec) and node-based (word2vec, doc2vec) features to perform link prediction in citation networks. Different neural network as well as tree-based algorithms (Xgboost, LightGBM) are compared.

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Hacking the Paris metro

Big Data Course Project at Ecole Polytechnique, May 2017 - Jun. 2017.

Basic machine learning algorithms (SVM, Decision Tree, etc.) are applied to predict the train delay using real data acquired from RATP.

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Lotus Effect and Spinodal Decomposition Phenomenon

Numerical Simulation of PDE Course Project at Ecole Polytechnique, Apr. 2017 - Jun. 2017.

Lotus Effect Spinodal Decomposition

This project studies lotus effect and spinodal decomposition phenomenon using finite difference method (FDM).

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Underground Explosion

Concurrency Course Project at Ecole Polytechnique, Apr. 2017 - May 2017.

Snapshots

The propagation of the acoustic waves engendered by an explosion of a bomb is simulated using finite difference method. JAVA Threads are used to perform parallel computing.

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GitHub