Daochen Zha | DeepAI

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∙ 06/17/2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Graph Neural Networks (GNNs) have emerged as the de facto standard for r...

0 Zhiyao Zhou, et al. ∙

∙ 05/03/2023

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

Sharding a large machine learning model across multiple devices to balan...

4 Daochen Zha, et al. ∙

∙ 04/21/2023

Interactive System-wise Anomaly Detection

Anomaly detection, where data instances are discovered containing featur...

0 Guanchu Wang, et al. ∙

∙ 02/28/2023

Towards Personalized Preprocessing Pipeline Search

Feature preprocessing, which transforms raw input features into numerica...

0 Diego Martinez, et al. ∙

∙ 02/18/2023

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning

Liver transplant is an essential therapy performed for severe liver dise...

16 Sirui Ding, et al. ∙

∙ 12/23/2022

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection

Graph neural networks (GNNs) have received remarkable success in link pr...

17 Qiaoyu Tan, et al. ∙

∙ 10/22/2022

SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems

Optimization problems with expensive nonlinear cost functions and combin...

7 Aaron Ferber, et al. ∙

∙ 10/19/2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations

The training of graph neural networks (GNNs) is extremely time consuming...

0 Zirui Liu, et al. ∙

∙ 08/12/2022

AutoShard: Automated Embedding Table Sharding for Recommender Systems

Embedding learning is an important technique in deep recommendation mode...

9 Daochen Zha, et al. ∙

∙ 05/27/2022

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture

Physics-informed neural networks (PINNs) are revolutionizing science and...

0 Yicheng Wang, et al. ∙

∙ 11/04/2021

Modeling Techniques for Machine Learning Fairness: A Survey

Machine learning models are becoming pervasive in high-stakes applicatio...

0 Mingyang Wan, et al. ∙

∙ 07/06/2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Graph neural networks (GNNs) integrate deep architectures and topologica...

0 Kaixiong Zhou, et al. ∙

∙ 06/11/2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Games are abstractions of the real world, where artificial agents learn ...

0 Daochen Zha, et al. ∙

∙ 05/17/2021

Learning Disentangled Representations for Time Series

Time-series representation learning is a fundamental task for time-serie...

17 Yuening Li, et al. ∙

∙ 01/20/2021

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Exploration under sparse reward is a long-standing challenge of model-fr...

6 Daochen Zha, et al. ∙

∙ 06/19/2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning

Outlier detection is an important data mining task with numerous practic...

7 Yuening Li, et al. ∙

∙ 06/12/2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Graph neural networks (GNNs), which learn the representation of a node b...

0 Kaixiong Zhou, et al. ∙

∙ 03/12/2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning

Outlier detection is an important task for various data mining applicati...

0 Yuening Li, et al. ∙

∙ 12/17/2019

Multi-Channel Graph Convolutional Networks

Graph neural networks (GNN) has been demonstrated to be effective in cla...

0 Kaixiong Zhou, et al. ∙

∙ 10/10/2019

RLCard: A Toolkit for Reinforcement Learning in Card Games

RLCard is an open-source toolkit for reinforcement learning research in ...

2 Daochen Zha, et al. ∙

∙ 10/07/2019

PyODDS: An End-to-End Outlier Detection System

PyODDS is an end-to end Python system for outlier detection with databas...

41 Yuening Li, et al. ∙

∙ 06/19/2019

Experience Replay Optimization

Experience replay enables reinforcement learning agents to memorize and ...

0 Daochen Zha, et al. ∙

∙ 11/05/2017

Multi-label Dataless Text Classification with Topic Modeling

Manually labeling documents is tedious and expensive, but it is essentia...

0 Daochen Zha, et al. ∙

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