Popular GitHub Repositories for He

[Official Implementation] Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks, He et.al. ICCV 2019

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

The python code detects different landmarks on the face and predicts the emotions such as smile based on it. It automatically takes a photo of that person when he smiles. Also when the two eyebrows are lifted up, the system plays a music automatically and the music stops when you blink your right eye.

The code of paper Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. Jiajun Chen, Huarui He, Feng Wu, Jie Wang. AAAI 2021.

[WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

[NeurIPS 2023] Adaptive Test-Time Personalization for Federated Learning. Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He.

[ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.

[NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He.

Super Resolution's the images by 3x using CNN

[AISTATS 2024] BOBA: Byzantine-Robust Federated Learning with Label Skewness. Wenxuan Bao, Jun Wu, Jingrui He

WCMM This machine is a artificial intelligence improvising at the piano while he paints on a canvas.

Create the model which will predict the bank customer whether he/she will leave the bank based on the dataset using atrtificial nueral network(Deep Learning).

The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.

Toxic Comment Classification Project constructed by Qimo Li, Chen He and Kun Qiu for the course "Introduction to Natural Language Processing in Python" at Brandeis University.

a little bit of everything i learned this past summer. i wanted to give my raspberry pi a body and a personality. i used machine learning to to allow his experiences grow, grove sensors so that its aware, servos for the body. mine calls himself albert/rook he learns new words and how to uses them as you conversate and mood and perspective are based on how it experiences the environment. the goal is for everybody to have a bipedal robot that learns based on their own individual experiences.

This project aims is to predict whether an employee will leave or remain in the organization depending upon various factors using an ML classification model. Also if the employee leaves, we predict within how much time he/she leaves by using an ML regression model and deploy the Machine Learning model using FLASK.

Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).

对“贺建奎基因编辑事件”闹剧及其他学术争议的批判：实验的伦理阴影与“猫女郎”、“狗女郎”的奇幻光环

GovQ&A Bot which can respond to admin-based questions. It can intelligently understand the query of user, if he/she makes small mistakes in sentences by applying similarity matrix.