b'Zheng Liu'

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...

0 Shitao Xiao, et al. ∙

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...

0 Yuying Jiang, et al. ∙

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 ...

0 Liang Li, et al. ∙

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...

0 Zheng Liu, et al. ∙

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...

0 Jin Chen, et al. ∙

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...

0 Peitian Zhang, et al. ∙

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...

0 Shitao Xiao, et al. ∙

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...

0 Zheng Liu, et al. ∙

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...

0 Haitao Li, et al. ∙

research

∙ 04/21/2023

Transformer-based models and hardware acceleration analysis in autonomous driving: A survey

Transformer architectures have exhibited promising performance in variou...

0 Juan Zhong, et al. ∙

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...

0 Hongjing Qian, et al. ∙

research

∙ 03/24/2023

Structural Imbalance Aware Graph Augmentation Learning

Graph machine learning (GML) has made great progress in node classificat...

0 Zulong Liu, et al. ∙

research

∙ 02/23/2023

Amos-SLAM: An Anti-Dynamics Two-stage SLAM Approach

The traditional Simultaneous Localization And Mapping (SLAM) systems rel...

0 Yaoming Zhuang, et al. ∙

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...

0 Pu Pang, et al. ∙

research

∙ 01/10/2023

Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation

Session-based Recommendation (SBR) is to predict users' next interested ...

14 Xiaohan Li, et al. ∙

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...

0 Jing Yao, et al. ∙

research

∙ 11/16/2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders

Recent studies on Next-basket Recommendation (NBR) have achieved much pr...

0 Xiaohan Li, et al. ∙

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...

0 Shitao Xiao, et al. ∙

research

∙ 10/28/2022

Mitigating Health Disparities in EHR via Deconfounder

Health disparities, or inequalities between different patient demographi...

0 Zheng Liu, et al. ∙

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...

0 Yuxing Tian, et al. ∙

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...

2 Peitian Zhang, et al. ∙

research

∙ 09/24/2022

Large-Scale LiDAR Consistent Mapping using Hierachical LiDAR Bundle Adjustment

Reconstructing an accurate and consistent large-scale LiDAR point cloud ...

0 Xiyuan Liu, et al. ∙

research

∙ 09/19/2022

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

Bundle Adjustment (BA) refers to the problem of simultaneous determinati...

0 Zheng Liu, et al. ∙

research

∙ 09/14/2022

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?

Recent years have witnessed great progress on applying pre-trained langu...

2 Jiawen Wu, et al. ∙

research

∙ 09/10/2022

Fighting Sybils in Airdrops

Airdrop is a crucial concept in tokenomics. Startups of decentralized ap...

0 Zheng Liu, et al. ∙

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...

5 Zheng Liu, et al. ∙

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...

7 Zhaoye Fei, et al. ∙

research

∙ 07/25/2022

Error-Aware Spatial Ensembles for Video Frame Interpolation

Video frame interpolation (VFI) algorithms have improved considerably in...

9 Zhixiang Chi, et al. ∙

research

∙ 06/28/2022

Cooperative Retriever and Ranker in Deep Recommenders

Deep recommender systems jointly leverage the retrieval and ranking oper...

4 Xu Huang, et al. ∙

research

∙ 06/06/2022

A Neural Corpus Indexer for Document Retrieval

Current state-of-the-art document retrieval solutions mainly follow an i...

1 Yujing Wang, et al. ∙

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 ...

8 Hulin Li, et al. ∙

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...

2 Zheng Liu, et al. ∙

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 ...

0 Xinyan Fan, et al. ∙

research

∙ 05/20/2022

A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline

For aquaculture resource evaluation and ecological environment monitorin...

23 Zheng Liu, et al. ∙

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...

15 Zheng Liu, et al. ∙

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...

8 Shitao Xiao, et al. ∙

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...

1 Junhan Yang, et al. ∙

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 ...

7 Jianjin Zhang, et al. ∙

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...

0 Chao Feng, et al. ∙

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...

8 Shitao Xiao, et al. ∙

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...

7 Peitian Zhang, et al. ∙

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...

4 Yiqi Wang, et al. ∙

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...

0 Xiaohan Li, et al. ∙

research

∙ 11/03/2021

Certifiable Artificial Intelligence Through Data Fusion

This paper reviews and proposes concerns in adopting, fielding, and main...

17 Erik Blasch, et al. ∙

research

∙ 05/06/2021

GraphFormers: GNN-nested Language Models for Linked Text Representation

Linked text representation is critical for many intelligent web applicat...

13 Junhan Yang, et al. ∙

research

∙ 04/29/2021

Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm

Recent years, analysis dictionary learning (ADL) and its applications fo...

7 Kun Jiang, et al. ∙

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 ...

0 Chaozhuo Li, et al. ∙

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 ...

5 Junhan Yang, et al. ∙

research

∙ 04/16/2021

Search-oriented Differentiable Product Quantization

Product quantization (PQ) is a popular approach for maximum inner produc...

7 Shitao Xiao, et al. ∙

research

∙ 02/18/2021

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop

News recommendation calls for deep insights of news articles' underlying...

9 Shitao Xiao, et al. ∙

Zheng Liu

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