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09/20/2023
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
We propose DISC-LawLLM, an intelligent legal system utilizing large lang...
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08/15/2023
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search
In e-commerce search, relevance between query and documents is an essent...
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07/04/2023
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
We introduce a method for flexible continual learning in open-vocabulary...
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06/01/2023
Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations
Reconfigurable intelligent surfaces (RISs) have become one of the key te...
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05/09/2023
Exploring assessment method of technological advancement based on literature cross-citation
Assessing advancements of technology is essential for creating science a...
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03/06/2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Deep learning models are challenged by the distribution shift between th...
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02/28/2023
Sequential edge detection using joint hierarchical Bayesian learning
This paper introduces a new sparse Bayesian learning (SBL) algorithm tha...
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01/11/2023
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have been proved successful in the f...
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08/17/2022
Semi-supervised Learning with Deterministic Labeling and Large Margin Projection
The centrality and diversity of the labeled data are very influential to...
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07/19/2022
Contributions of Shape, Texture, and Color in Visual Recognition
We investigate the contributions of three important features of the huma...
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07/07/2022
Contrastive Information Transfer for Pre-Ranking Systems
Real-word search and recommender systems usually adopt a multi-stage ran...
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07/05/2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch
Adversarial patch attacks mislead neural networks by injecting adversari...
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06/25/2022
Sequential image recovery using joint hierarchical Bayesian learning
Recovering temporal image sequences (videos) based on indirect, noisy, o...
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05/20/2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
Rich user behavior data has been proven to be of great value for Click-T...
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04/25/2022
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
To enable heterogeneous computing systems with autonomous programming an...
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03/28/2022
Sequential image recovery from noisy and under-sampled Fourier data
A new algorithm is developed to jointly recover a temporal sequence of i...
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12/06/2021
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization
We focus on controllable disentangled representation learning (C-Dis-RL)...
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09/11/2021
Speaker-Oriented Latent Structures for Dialogue-Based Relation Extraction
Dialogue-based relation extraction (DiaRE) aims to detect the structural...
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05/21/2021
EMface: Detecting Hard Faces by Exploring Receptive Field Pyraminds
Scale variation is one of the most challenging problems in face detectio...
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05/01/2021
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts
Despite substantial progress in applying neural networks (NN) to a wide ...
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11/27/2020
Robust Autonomous Landing of UAV in Non-Cooperative Environments based on Dynamic Time Camera-LiDAR Fusion
Selecting safe landing sites in non-cooperative environments is a key st...
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11/15/2020
Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers
Realistic age-progressed photos provide invaluable biometric information...
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10/21/2020
Batch Sequential Adaptive Designs for Global Optimization
Compared with the fixed-run designs, the sequential adaptive designs (SA...
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10/09/2020
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems
High-level applications, such as machine learning, are evolving from sim...
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06/18/2020
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Mathematical modeling of epidemic spreading has been widely adopted to e...
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10/12/2019
Template-Instance Loss for Offline Handwritten Chinese Character Recognition
The long-standing challenges for offline handwritten Chinese character r...
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09/25/2019
Design Methodology for Energy Efficient Unmanned Aerial Vehicles
In this paper, we present a load-balancing approach to analyze and parti...
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05/29/2019
Vehicle Detection in Deep Learning
Computer vision is developing rapidly with the support of deep learning ...
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10/30/2017
A Supervised STDP-based Training Algorithm for Living Neural Networks
Neural networks have shown great potential in many applications like spe...
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09/22/2014