research
∙
09/14/2023
C-Pack: Packaged Resources To Advance General Chinese Embedding
We introduce C-Pack, a package of resources that significantly advance t...
share
research
∙
08/29/2023
A Consumer-tier based Visual-Brain Machine Interface for Augmented Reality Glasses Interactions
Objective.Visual-Brain Machine Interface(V-BMI) has provide a novel inte...
research
∙
08/24/2023
Joint Intrinsic and Extrinsic LiDAR-Camera Calibration in Targetless Environments Using Plane-Constrained Bundle Adjustment
This paper introduces a novel targetless method for joint intrinsic and ...
research
∙
08/22/2023
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder
The fairness issue of clinical data modeling, especially on Electronic H...
research
∙
07/31/2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
The advent of large language models marks a revolutionary breakthrough i...
research
∙
05/23/2023
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines
Auto-regressive search engines emerge as a promising paradigm for next-g...
research
∙
05/04/2023
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
To better support information retrieval tasks such as web search and ope...
research
∙
04/29/2023
An Efficient Plane Extraction Approach for Bundle Adjustment on LiDAR Point clouds
Bundle adjustment (BA) on LiDAR point clouds has been extensively invest...
research
∙
04/24/2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval
Recent studies have shown that Dense Retrieval (DR) techniques can signi...
research
∙
04/21/2023
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
Transformer architectures have exhibited promising performance in variou...
research
∙
04/10/2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
In this paper, we introduce a new NLP task – generating short factual ar...
research
∙
03/24/2023
Structural Imbalance Aware Graph Augmentation Learning
Graph machine learning (GML) has made great progress in node classificat...
research
∙
02/23/2023
Amos-SLAM: An Anti-Dynamics Two-stage SLAM Approach
The traditional Simultaneous Localization And Mapping (SLAM) systems rel...
research
∙
01/14/2023
Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level
In-memory key-value stores (IMKVSes) serve many online applications beca...
research
∙
01/10/2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation
Session-based Recommendation (SBR) is to predict users' next interested ...
research
∙
11/30/2022
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Deep semantic matching aims to discriminate the relationship between doc...
research
∙
11/16/2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders
Recent studies on Next-basket Recommendation (NBR) have achieved much pr...
research
∙
11/16/2022
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
To better support retrieval applications such as web search and question...
research
∙
10/28/2022
Mitigating Health Disparities in EHR via Deconfounder
Health disparities, or inequalities between different patient demographi...
research
∙
10/27/2022
M3FGM:a node masking and multi-granularity message passing-based federated graph model for spatial-temporal data prediction
Researchers are solving the challenges of spatial-temporal prediction by...
research
∙
10/11/2022
Bi-Phase Enhanced IVFPQ for Time-Efficient Ad-hoc Retrieval
IVFPQ is a popular index paradigm for time-efficient ad-hoc retrieval. I...
research
∙
09/24/2022
Large-Scale LiDAR Consistent Mapping using Hierachical LiDAR Bundle Adjustment
Reconstructing an accurate and consistent large-scale LiDAR point cloud ...
research
∙
09/19/2022
Efficient and Consistent Bundle Adjustment on Lidar Point Clouds
Bundle Adjustment (BA) refers to the problem of simultaneous determinati...
research
∙
09/14/2022
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
Recent years have witnessed great progress on applying pre-trained langu...
research
∙
09/10/2022
Fighting Sybils in Airdrops
Airdrop is a crucial concept in tokenomics. Startups of decentralized ap...
research
∙
09/02/2022
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
Recovering high quality surfaces from noisy point clouds, known as point...
research
∙
08/19/2022
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
Generalized text representations are the foundation of many natural lang...
research
∙
07/25/2022
Error-Aware Spatial Ensembles for Video Frame Interpolation
Video frame interpolation (VFI) algorithms have improved considerably in...
research
∙
06/28/2022
Cooperative Retriever and Ranker in Deep Recommenders
Deep recommender systems jointly leverage the retrieval and ranking oper...
research
∙
06/06/2022
A Neural Corpus Indexer for Document Retrieval
Current state-of-the-art document retrieval solutions mainly follow an i...
research
∙
06/06/2022
Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles
Object detection is a difficult downstream task in computer vision. For ...
research
∙
05/24/2022
RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder
Pre-trained models have demonstrated superior power on many important ta...
research
∙
05/22/2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
A large-scale recommender system usually consists of recall and ranking ...
research
∙
05/20/2022
A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline
For aquaculture resource evaluation and ecological environment monitorin...
research
∙
04/11/2022
Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs
Recently, semantic search has been successfully applied to e-commerce pr...
research
∙
04/01/2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
Vector quantization (VQ) based ANN indexes, such as Inverted File System...
research
∙
02/28/2022
A Mutually Reinforced Framework for Pretrained Sentence Embeddings
The lack of labeled data is a major obstacle to learning high-quality se...
research
∙
02/13/2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
Embedding based retrieval (EBR) is a fundamental building block in many ...
research
∙
01/23/2022
Reinforcement Routing on Proximity Graph for Efficient Recommendation
We focus on Maximum Inner Product Search (MIPS), which is an essential p...
research
∙
01/14/2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Ad-hoc search calls for the selection of appropriate answers from a mass...
research
∙
01/12/2022
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers
News feed recommendation is an important web service. In recent years, p...
research
∙
12/14/2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
Graph neural networks (GNNs) have been widely applied in the recommendat...
research
∙
11/28/2021
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network
Recently, Graph Neural Networks (GNNs) have proven their effectiveness f...
research
∙
11/03/2021
Certifiable Artificial Intelligence Through Data Fusion
This paper reviews and proposes concerns in adopting, fielding, and main...
research
∙
05/06/2021
GraphFormers: GNN-nested Language Models for Linked Text Representation
Linked text representation is critical for many intelligent web applicat...
research
∙
04/29/2021
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm
Recent years, analysis dictionary learning (ADL) and its applications fo...
research
∙
04/25/2021
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Sponsored search ads appear next to search results when people look for ...
research
∙
04/22/2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks
Transformer encoding networks have been proved to be a powerful tool of ...
research
∙
04/16/2021
Search-oriented Differentiable Product Quantization
Product quantization (PQ) is a popular approach for maximum inner produc...
research
∙
02/18/2021
