Jia Chen | DeepAI

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∙ 08/26/2023

Worst case tractability of L_2-approximation for weighted Korobov spaces

We study L_2-approximation problems APP_d in the worst case setting in t...

0 Huichao Yan, et al. ∙

∙ 04/25/2023

THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank

This paper introduces the approaches we have used to participate in the ...

0 Jia Chen, et al. ∙

∙ 04/22/2023

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

Legal case retrieval, which aims to find relevant cases for a query case...

0 Haitao Li, et al. ∙

∙ 03/23/2023

Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure

This paper considers estimating functional-coefficient models in panel q...

0 Xiaorong Yang, et al. ∙

∙ 02/28/2023

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

This paper describes the approach of the THUIR team at the WSDM Cup 2023...

0 Haitao Li, et al. ∙

∙ 02/23/2023

An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis

Digging out the latent information from large-scale incomplete matrices ...

0 Jia Chen, et al. ∙

∙ 02/23/2023

A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis

High-Dimensional and Incomplete matrices, which usually contain a large ...

0 Jia Chen, et al. ∙

∙ 02/05/2023

Estimating Time-Varying Networks for High-Dimensional Time Series

We explore time-varying networks for high-dimensional locally stationary...

0 Jia Chen, et al. ∙

∙ 08/13/2022

An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors

Extracting the latent information in high-dimensional and incomplete mat...

0 Yuanyi Liu, et al. ∙

∙ 04/02/2022

A Differential Evolution-Enhanced Latent Factor Analysis Model for High-dimensional and Sparse Data

High-dimensional and sparse (HiDS) matrices are frequently adopted to de...

0 Jia Chen, et al. ∙

∙ 11/27/2021

Pre-training Methods in Information Retrieval

The core of information retrieval (IR) is to identify relevant informati...

0 Yixing Fan, et al. ∙

∙ 04/27/2021

Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation

Self-attention mechanism recently achieves impressive advancement in Nat...

0 Xian-Feng Han, et al. ∙

∙ 03/29/2021

Dynamic Network Embedding Survey

Since many real world networks are evolving over time, such as social ne...

0 Guotong Xue, et al. ∙

∙ 11/25/2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning

MOBA games, e.g., Honor of Kings, League of Legends, and Dota 2, pose gr...

5 Deheng Ye, et al. ∙

∙ 08/17/2020

Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk

Node embeddings have been attracting increasing attention during the pas...

3 Jia Chen, et al. ∙

∙ 03/14/2020

Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation

Automated tongue image segmentation in tongue images is a challenging ta...

0 Xinyi Zeng, et al. ∙

∙ 03/08/2020

Better Captioning with Sequence-Level Exploration

Sequence-level learning objective has been widely used in captioning tas...

0 Jia Chen, et al. ∙

∙ 08/21/2019

Improving Captioning for Low-Resource Languages by Cycle Consistency

Improving the captioning performance on low-resource languages by levera...

0 Yike Wu, et al. ∙

∙ 07/01/2019

Average case tractability of additive random fields with Korobov kernels

We investigate average case tractability of approximation of additive ra...

0 Jia Chen, et al. ∙

∙ 11/29/2018

Graph Multiview Canonical Correlation Analysis

Multiview canonical correlation analysis (MCCA) seeks latent low-dimensi...

0 Jia Chen, et al. ∙

∙ 09/11/2018

PUF-AES-PUF: a novel PUF architecture against non-invasive attacks

In this letter, a physical unclonable function (PUF)-advanced encryption...

0 Weize Yu, et al. ∙

∙ 05/15/2018

Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets

Principal component analysis (PCA) is widely used for feature extraction...

0 Jia Chen, et al. ∙

∙ 03/27/2018

Canonical Correlation Analysis of Datasets with a Common Source Graph

Canonical correlation analysis (CCA) is a powerful technique for discove...

0 Jia Chen, et al. ∙

∙ 10/25/2017

DPCA: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets

Principal component analysis (PCA) has well-documented merits for data e...

0 Gang Wang, et al. ∙

∙ 08/31/2017

Video Captioning with Guidance of Multimodal Latent Topics

The topic diversity of open-domain videos leads to various vocabularies ...

0 Shizhe Chen, et al. ∙

∙ 08/31/2017

Generating Video Descriptions with Topic Guidance

Generating video descriptions in natural language (a.k.a. video captioni...

0 Shizhe Chen, et al. ∙

∙ 04/19/2014

Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification

In this paper, we utilize structured learning to simultaneously address ...

0 Jie Shen, et al. ∙

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