research
∙
08/21/2023
A Large-scale Benchmark for Log Parsing
Log data is pivotal in activities like anomaly detection and failure dia...
share
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...
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...
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...
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...
research
∙
05/24/2023
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
research
∙
02/05/2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...
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...
research
∙
11/28/2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Adding perturbations via utilizing auxiliary gradient information or dis...
research
∙
11/25/2022
CodeExp: Explanatory Code Document Generation
Developing models that can automatically generate detailed code explanat...
research
∙
11/17/2022
Execution-based Evaluation for Data Science Code Generation Models
Code generation models can benefit data scientists' productivity by auto...
research
∙
10/20/2022
Proof of Unlearning: Definitions and Instantiation
The "Right to be Forgotten" rule in machine learning (ML) practice enabl...
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 ...
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...
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...
research
∙
05/05/2022
Gait Recognition in the Wild: A Benchmark
Gait benchmarks empower the research community to train and evaluate hig...
research
∙
04/21/2022
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate hig...
research
∙
04/11/2022
HFT: Lifting Perspective Representations via Hybrid Feature Transformation
Autonomous driving requires accurate and detailed Bird's Eye View (BEV) ...
research
∙
03/31/2022
BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection
Single frame data contains finite information which limits the performan...
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...
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...
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...
research
∙
08/30/2021
Single Node Injection Attack against Graph Neural Networks
Node injection attack on Graph Neural Networks (GNNs) is an emerging and...
research
∙
08/22/2021
Signed Bipartite Graph Neural Networks
Signed networks are such social networks having both positive and negati...
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...
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...
research
∙
04/05/2021
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach
Producing the embedding of a sentence in an unsupervised way is valuable...
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...
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...
research
∙
08/27/2020
Compensation Tracker: Data Association Method for Lost Object
At present, the main research direction of multi-object tracking framewo...
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...
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...
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 ...
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 ...
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...
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'...
research
∙
07/10/2019
Modeling Semantic Compositionality with Sememe Knowledge
Semantic compositionality (SC) refers to the phenomenon that the meaning...
research
∙
06/26/2019
Signed Graph Attention Networks
Graph or network data is ubiquitous in the real world, including social ...
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 ...
research
∙
12/14/2018
Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
research
∙
11/18/2018
Optical Flow Based Online Moving Foreground Analysis
Obtained by moving object detection, the foreground mask result is unsha...
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 ...
research
∙
07/13/2018
