chao1224
Assistant Professor at CUHK. Postdoc at UCB. PhD at Mila. Intern at Nvidia, ServiceNow AI, IQVIA, and Facebook.
CUHKHong Kong
Pinned Repositories
ChatDrug
LLM for Drug Editing, ICLR 2024
Geom3D
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
GeoSSL
GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)
GraphMVP
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
Loss-Balanced-Task-Weighting
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19
MoleculeSDE
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
MoleculeSTM
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
n_gram_graph
N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
NeuralMD
NeuralMD for protein-ligand binding simulation
ProteinDT
A Text-guided Protein Design Framework, Nat Mach Intell 2025 (https://www.nature.com/articles/s42256-025-01011-z)
chao1224's Repositories
chao1224/Loss-Balanced-Task-Weighting
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19
chao1224/AI-Terminology-page
The English-Chinese paired terminologies in Artificial Intelligence Domain
chao1224/Artificial-Intelligence-Terminology
The English-Chinese paired terminologies in Artificial Intelligence Domain
chao1224/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
chao1224/decagon
chao1224/bigdata_intro
chao1224/coursewebsite
Course website for Deep Learning and Applications
chao1224/densenet-pytorch
A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)
chao1224/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
chao1224/einops
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
chao1224/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
chao1224/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
chao1224/graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
chao1224/imagenet
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
chao1224/imagenet-fast
chao1224/lsc
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
chao1224/pandoc-journal-templates
Pandoc templates and resources for the major (bio)statistics journals
chao1224/py-upset
A pure-python implementation of the UpSet suite of visualisation methods by Lex, Gehlenborg et al.
chao1224/pygcn
Graph Convolutional Networks in PyTorch
chao1224/pytorch-cifar
95.16% on CIFAR10 with PyTorch
chao1224/pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
chao1224/pytorch_distributed_nn
implement distributed neural network and straggler kill in Pytorch
chao1224/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
chao1224/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description in original paper.
chao1224/quantization_coding
chao1224/ResNeXt-DenseNet
PyTorch Implementation for ResNet, Pre-Activation ResNet, ResNeXt and DenseNet
chao1224/some_demo
chao1224/TF-Pytorch-comparison
comparison of performances between Tensorflow and Pytorch
chao1224/tiny_imagenet
TensorFlow Deep CNN for Tiny ImageNet Problem
chao1224/vision
Datasets, Transforms and Models specific to Computer Vision