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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...
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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 ...
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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...
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03/23/2023
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure
This paper considers estimating functional-coefficient models in panel q...
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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...
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02/23/2023
An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis
Digging out the latent information from large-scale incomplete matrices ...
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02/23/2023
A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis
High-Dimensional and Incomplete matrices, which usually contain a large ...
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02/05/2023
Estimating Time-Varying Networks for High-Dimensional Time Series
We explore time-varying networks for high-dimensional locally stationary...
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08/13/2022
An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors
Extracting the latent information in high-dimensional and incomplete mat...
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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...
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11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
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04/27/2021
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
Self-attention mechanism recently achieves impressive advancement in Nat...
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03/29/2021
Dynamic Network Embedding Survey
Since many real world networks are evolving over time, such as social ne...
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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...
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08/17/2020
Ensemble Node Embeddings using Tensor Decomposition: A Case-Study on DeepWalk
Node embeddings have been attracting increasing attention during the pas...
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03/14/2020
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation
Automated tongue image segmentation in tongue images is a challenging ta...
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03/08/2020
Better Captioning with Sequence-Level Exploration
Sequence-level learning objective has been widely used in captioning tas...
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08/21/2019
Improving Captioning for Low-Resource Languages by Cycle Consistency
Improving the captioning performance on low-resource languages by levera...
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07/01/2019
Average case tractability of additive random fields with Korobov kernels
We investigate average case tractability of approximation of additive ra...
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11/29/2018
Graph Multiview Canonical Correlation Analysis
Multiview canonical correlation analysis (MCCA) seeks latent low-dimensi...
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09/11/2018
PUF-AES-PUF: a novel PUF architecture against non-invasive attacks
In this letter, a physical unclonable function (PUF)-advanced encryption...
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05/15/2018
Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets
Principal component analysis (PCA) is widely used for feature extraction...
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03/27/2018
Canonical Correlation Analysis of Datasets with a Common Source Graph
Canonical correlation analysis (CCA) is a powerful technique for discove...
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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...
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08/31/2017
Video Captioning with Guidance of Multimodal Latent Topics
The topic diversity of open-domain videos leads to various vocabularies ...
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08/31/2017
Generating Video Descriptions with Topic Guidance
Generating video descriptions in natural language (a.k.a. video captioni...
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04/19/2014
