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09/05/2023
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data
Existing approaches to automatic data transformation are insufficient to...
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08/31/2023
AntM^2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction
Click-through rate (CTR) prediction is a crucial issue in recommendation...
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08/26/2023
Graph Edit Distance Learning via Different Attention
Recently, more and more research has focused on using Graph Neural Netwo...
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08/21/2023
Explore and Tell: Embodied Visual Captioning in 3D Environments
While current visual captioning models have achieved impressive performa...
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08/11/2023
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
Robust pedestrian trajectory forecasting is crucial to developing safe a...
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07/14/2023
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation
Curvilinear object segmentation is critical for many applications. Howev...
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06/23/2023
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation
Image captioning aims to describe visual content in natural language. As...
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05/20/2023
Movie101: A New Movie Understanding Benchmark
To help the visually impaired enjoy movies, automatic movie narrating sy...
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05/10/2023
InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation
Automatic image captioning evaluation is critical for benchmarking and p...
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04/13/2023
Road Network Representation Learning: A Dual Graph based Approach
Road network is a critical infrastructure powering many applications inc...
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03/20/2023
Data Might be Enough: Bridge Real-World Traffic Signal Control Using Offline Reinforcement Learning
Applying reinforcement learning (RL) to traffic signal control (TSC) has...
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03/12/2023
Accommodating Audio Modality in CLIP for Multimodal Processing
Multimodal processing has attracted much attention lately especially wit...
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11/26/2022
Towards Better Document-level Relation Extraction via Iterative Inference
Document-level relation extraction (RE) aims to extract the relations be...
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11/15/2022
Region Embedding with Intra and Inter-View Contrastive Learning
Unsupervised region representation learning aims to extract dense and ef...
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11/12/2022
Deep Reinforcement Learning with Vector Quantized Encoding
Human decision-making often involves combining similar states into categ...
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11/12/2022
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
When performing complex tasks, humans naturally reason at multiple tempo...
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11/02/2022
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL
Deep reinforcement learning (DRL) is becoming increasingly popular in im...
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10/26/2022
LinearCoFold and LinearCoPartition: Linear-Time Algorithms for Secondary Structure Prediction of Interacting RNA molecules
Many ncRNAs function through RNA-RNA interactions. Fast and reliable RNA...
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10/14/2022
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing
Collaborative edge computing (CEC) is an emerging paradigm enabling shar...
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07/18/2022
MobileCodec: Neural Inter-frame Video Compression on Mobile Devices
Realizing the potential of neural video codecs on mobile devices is a bi...
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07/14/2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Recently brain networks have been widely adopted to study brain dynamics...
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06/29/2022
LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments
Predicting the consensus structure of a set of aligned RNA homologs is a...
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06/27/2022
Probabilistic network topology prediction for active planning:An adaptive algorithm and application
This paper tackles the problem of active planning to achieve cooperative...
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06/07/2022
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection
The key of Human-Object Interaction(HOI) recognition is to infer the rel...
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06/01/2022
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
We study differentially private (DP) algorithms for smooth stochastic mi...
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06/01/2022
Digital Twin for Networking: A Data-driven Performance Modeling Perspective
Emerging technologies and applications make the network unprecedentedly ...
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05/28/2022
Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems
This paper studies the uniform convergence and generalization bounds for...
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04/28/2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Saliency detection with light field images is becoming attractive given ...
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04/26/2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
The tremendous achievements of Artificial Intelligence (AI) in computer ...
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04/21/2022
A Masked Image Reconstruction Network for Document-level Relation Extraction
Document-level relation extraction aims to extract relations among entit...
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04/12/2022
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition
Nested named entity recognition (NER) aims to identify the entity bounda...
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04/11/2022
ConSLT: A Token-level Contrastive Framework for Sign Language Translation
Sign language translation (SLT) is an important technology that can brid...
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04/07/2022
DynLight: Realize dynamic phase duration with multi-level traffic signal control
Adopting reinforcement learning (RL) for traffic signal control is incre...
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04/01/2022
NC-DRE: Leveraging Non-entity Clue Information for Document-level Relation Extraction
Document-level relation extraction (RE), which requires reasoning on mul...
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03/26/2022
A Densely Connected Criss-Cross Attention Network for Document-level Relation Extraction
Document-level relation extraction (RE) aims to identify relations betwe...
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02/01/2022
Finite-time enclosing control for multiple moving targets: a continuous estimator approach
This work addresses the finite-time enclosing control problem where a se...
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12/30/2021
Knowledge intensive state design for traffic signal control
There is a general trend of applying reinforcement learning (RL) techniq...
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12/19/2021
Expression is enough: Improving traffic signal control with advanced traffic state representation
Recently, finding fundamental properties for traffic state representatio...
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12/04/2021
Efficient Pressure: Improving efficiency for signalized intersections
Since conventional approaches could not adapt to dynamic traffic conditi...
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09/29/2021
Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring
Dynamic statistical process monitoring methods have been widely studied ...
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08/19/2021
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition
For a given video-based Human-Object Interaction scene, modeling the spa...
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08/16/2021
Deep Natural Language Processing for LinkedIn Search
Many search systems work with large amounts of natural language data, e....
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07/30/2021
Deep Natural Language Processing for LinkedIn Search Systems
Many search systems work with large amounts of natural language data, e....
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06/24/2021
A Systematic Collection of Medical Image Datasets for Deep Learning
The astounding success made by artificial intelligence (AI) in healthcar...
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04/22/2021
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
Recommending medications for patients using electronic health records (E...
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03/30/2021
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
3D object grounding aims to locate the most relevant target object in a ...
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12/17/2020
Smoothed Gaussian Mixture Models for Video Classification and Recommendation
Cluster-and-aggregate techniques such as Vector of Locally Aggregated De...
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12/16/2020
More Industry-friendly: Federated Learning with High Efficient Design
Although many achievements have been made since Google threw out the par...
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10/12/2020
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks
This paper studies the novel concept of weight correlation in deep neura...
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08/06/2020