Pengfei Chen | DeepAI

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Li Wang
151 publications
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Junchi Yan
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Di Wu
111 publications
Qi Dou
97 publications
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Zibin Zheng
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Lequan Yu
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∙ 09/18/2023

LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data

Log data is a crucial resource for recording system events and states du...

0 Xiaoyun Li, et al. ∙

∙ 07/22/2023

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

Object detection via inaccurate bounding boxes supervision has boosted a...

0 Di Wu, et al. ∙

∙ 04/20/2023

HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services

Hyper-parameters optimization (HPO) is vital for machine learning models...

0 Hui Dou, et al. ∙

∙ 08/08/2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Recently, AIOps (Artificial Intelligence for IT Operations) has been wel...

0 Zeyan Li, et al. ∙

∙ 05/10/2022

Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training

Deep neural networks have achieved remarkable success in a wide variety ...

23 Cheng Xue, et al. ∙

∙ 03/30/2022

Acknowledging the Unknown for Multi-label Learning with Single Positive Labels

Due to the difficulty of collecting exhaustive multi-label annotations, ...

0 Donghao Zhou, et al. ∙

∙ 03/17/2022

Object Localization under Single Coarse Point Supervision

Point-based object localization (POL), which pursues high-performance ob...

18 Xuehui Yu, et al. ∙

∙ 02/03/2021

Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms

Serverless computing has rapidly grown following the launch of Amazon's ...

0 Anshul Jindal, et al. ∙

∙ 01/27/2021

Improving Graph Representation Learning by Contrastive Regularization

Graph representation learning is an important task with applications in ...

0 Kaili Ma, et al. ∙

∙ 12/10/2020

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Supervised learning under label noise has seen numerous advances recentl...

0 Pengfei Chen, et al. ∙

∙ 12/08/2020

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

For multi-class classification under class-conditional label noise, we p...

0 Pengfei Chen, et al. ∙

∙ 08/05/2020

Integrated Traffic Simulation-Prediction System using Neural Networks with Application to the Los Angeles International Airport Road Network

Transportation networks are highly complex and the design of efficient t...

0 Yihang Zhang, et al. ∙

∙ 06/22/2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

We introduce a new molecular dataset, named Alchemy, for developing mach...

15 Guangyong Chen, et al. ∙

∙ 06/13/2019

A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR

Noisy labels are ubiquitous in real-world datasets, which poses a challe...

0 Pengfei Chen, et al. ∙

∙ 06/13/2019

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization

Graph Neural Networks (GNNs) achieve an impressive performance on struct...

0 Pengfei Chen, et al. ∙

∙ 05/27/2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction

Value functions are crucial for model-free Reinforcement Learning (RL) t...

0 Hongyao Tang, et al. ∙

∙ 05/15/2019

Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks

In this work, we propose a novel technique to boost training efficiency ...

0 Guangyong Chen, et al. ∙

∙ 05/13/2019

Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels

Noisy labels are ubiquitous in real-world datasets, which poses a challe...

0 Pengfei Chen, et al. ∙

∙ 02/27/2017

Understanding Convolution for Semantic Segmentation

Recent advances in deep learning, especially deep convolutional neural n...

0 Panqu Wang, et al. ∙

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