b'Junjie Huang'

research

∙ 08/21/2023

A Large-scale Benchmark for Log Parsing

Log data is pivotal in activities like anomaly detection and failure dia...

0 Zhihan Jiang, et al. ∙

research

∙ 08/15/2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems

Ensuring the reliability of cloud systems is critical for both cloud ven...

0 Jinyang Liu, et al. ∙

research

∙ 07/07/2023

What makes a successful rebuttal in computer science conferences? : A perspective on social interaction

With an exponential increase in submissions to top-tier Computer Science...

0 Junjie Huang, et al. ∙

research

∙ 06/15/2023

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Industrial recommender systems face the challenge of operating in non-st...

0 Jieming Zhu, et al. ∙

research

∙ 06/08/2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop

System logs play a critical role in maintaining the reliability of softw...

0 Jinyang Liu, et al. ∙

research

∙ 05/24/2023

HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

0 He Zhu, et al. ∙

research

∙ 02/05/2023

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation

Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...

0 Junjie Huang, et al. ∙

research

∙ 11/30/2022

BEVPoolv2: A Cutting-edge Implementation of BEVDet Toward Deployment

We release a new codebase version of the BEVDet, dubbed branch dev2.0. W...

0 Junjie Huang, et al. ∙

research

∙ 11/28/2022

Imperceptible Adversarial Attack via Invertible Neural Networks

Adding perturbations via utilizing auxiliary gradient information or dis...

0 Zihan Chen, et al. ∙

research

∙ 11/25/2022

CodeExp: Explanatory Code Document Generation

Developing models that can automatically generate detailed code explanat...

0 Haotian Cui, et al. ∙

research

∙ 11/17/2022

Execution-based Evaluation for Data Science Code Generation Models

Code generation models can benefit data scientists' productivity by auto...

0 Junjie Huang, et al. ∙

research

∙ 10/20/2022

Proof of Unlearning: Definitions and Instantiation

The "Right to be Forgotten" rule in machine learning (ML) practice enabl...

0 Jiasi Weng, et al. ∙

research

∙ 10/11/2022

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems

Recommender systems are expected to be assistants that help human users ...

0 Zhengbang Zhu, et al. ∙

research

∙ 10/11/2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA

Retrieving evidences from tabular and textual resources is essential for...

0 Junjie Huang, et al. ∙

research

∙ 05/19/2022

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

In this paper, we present BEVerse, a unified framework for 3D perception...

0 Yunpeng Zhang, et al. ∙

research

∙ 05/05/2022

Gait Recognition in the Wild: A Benchmark

Gait benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 04/21/2022

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Face benchmarks empower the research community to train and evaluate hig...

0 Zheng Zhu, et al. ∙

research

∙ 04/11/2022

HFT: Lifting Perspective Representations via Hybrid Feature Transformation

Autonomous driving requires accurate and detailed Bird's Eye View (BEV) ...

0 Jiayu Zou, et al. ∙

research

∙ 03/31/2022

BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

Single frame data contains finite information which limits the performan...

0 Junjie Huang, et al. ∙

research

∙ 02/22/2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs

Signed networks are ubiquitous in many real-world applications (e.g., so...

0 Yixuan He, et al. ∙

research

∙ 12/22/2021

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

Autonomous driving perceives the surrounding environment for decision ma...

0 Junjie Huang, et al. ∙

research

∙ 09/10/2021

Face-NMS: A Core-set Selection Approach for Efficient Face Recognition

Recently, face recognition in the wild has achieved remarkable success a...

0 Yunze Chen, et al. ∙

research

∙ 08/30/2021

Single Node Injection Attack against Graph Neural Networks

Node injection attack on Graph Neural Networks (GNNs) is an emerging and...

0 Shuchang Tao, et al. ∙

research

∙ 08/22/2021

Signed Bipartite Graph Neural Networks

Signed networks are such social networks having both positive and negati...

0 Junjie Huang, et al. ∙

research

∙ 08/16/2021

Masked Face Recognition Challenge: The WebFace260M Track Report

According to WHO statistics, there are more than 204,617,027 confirmed C...

0 Zheng Zhu, et al. ∙

research

∙ 04/06/2021

SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation

The practical application requests both accuracy and efficiency on multi...

0 Jiabin Zhang, et al. ∙

research

∙ 04/05/2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Producing the embedding of a sentence in an unsupervised way is valuable...

0 Junjie Huang, et al. ∙

research

∙ 03/06/2021

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

In this paper, we contribute a new million-scale face benchmark containi...

0 Zheng Zhu, et al. ∙

research

∙ 01/07/2021

SDGNN: Learning Node Representation for Signed Directed Networks

Network embedding is aimed at mapping nodes in a network into low-dimens...

0 Junjie Huang, et al. ∙

research

∙ 08/27/2020

Compensation Tracker: Data Association Method for Lost Object

At present, the main research direction of multi-object tracking framewo...

2 Zhibo Zou, et al. ∙

research

∙ 08/17/2020

How to Train Your Robust Human Pose Estimator: Pay Attention to the Constraint Cue

Both appearance cue and constraint cue are important in human pose estim...

4 Junjie Huang, et al. ∙

research

∙ 07/27/2020

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification

Graph neural networks (GNNs) achieve remarkable success in graph-based s...

6 Bingbing Xu, et al. ∙

research

∙ 04/06/2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...

0 Yufei Feng, et al. ∙

research

∙ 11/18/2019

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Recently, the leading performance of human pose estimation is dominated ...

0 Junjie Huang, et al. ∙

research

∙ 10/14/2019

Multi-Stage HRNet: Multiple Stage High-Resolution Network for Human Pose Estimation

Human pose estimation are of importance for visual understanding tasks s...

0 Junjie Huang, et al. ∙

research

∙ 07/23/2019

Computing Lens for Exploring the Historical People's Social Network

A typical social research topic is to figure out the influential people'...

0 Junjie Huang, et al. ∙

research

∙ 07/10/2019

Modeling Semantic Compositionality with Sememe Knowledge

Semantic compositionality (SC) refers to the phenomenon that the meaning...

0 Fanchao Qi, et al. ∙

research

∙ 06/26/2019

Signed Graph Attention Networks

Graph or network data is ubiquitous in the real world, including social ...

0 Junjie Huang, et al. ∙

research

∙ 06/01/2019

COS960: A Chinese Word Similarity Dataset of 960 Word Pairs

Word similarity computation is a widely recognized task in the field of ...

0 Junjie Huang, et al. ∙

research

∙ 12/14/2018

Action Machine: Rethinking Action Recognition in Trimmed Videos

Existing methods in video action recognition mostly do not distinguish h...

26 Jiagang Zhu, et al. ∙

research

∙ 11/18/2018

Optical Flow Based Online Moving Foreground Analysis

Obtained by moving object detection, the foreground mask result is unsha...

0 Junjie Huang, et al. ∙

research

∙ 11/18/2018

An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes

Real-time motion detection in non-stationary scenes is a difficult task ...

0 Junjie Huang, et al. ∙

research

∙ 07/13/2018

Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes

Real-time moving object detection in unconstrained scenes is a difficult...

0 Junjie Huang, et al. ∙

Junjie Huang

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