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08/23/2023
CgT-GAN: CLIP-guided Text GAN for Image Captioning
The large-scale visual-language pre-trained model, Contrastive Language-...
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07/19/2023
Multi-Grained Multimodal Interaction Network for Entity Linking
Multimodal entity linking (MEL) task, which aims at resolving ambiguous ...
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06/26/2023
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Affordance-centric Question-driven Task Completion (AQTC) for Egocentric...
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06/23/2023
A Survey on Multimodal Large Language Models
Multimodal Large Language Model (MLLM) recently has been a new rising re...
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06/21/2023
Spatial Heterophily Aware Graph Neural Networks
Graph Neural Networks (GNNs) have been broadly applied in many urban app...
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06/15/2023
Multi-Temporal Relationship Inference in Urban Areas
Finding multiple temporal relationships among locations can benefit a bu...
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05/24/2023
Reversible Graph Neural Network-based Reaction Distribution Learning for Multiple Appropriate Facial Reactions Generation
Generating facial reactions in a human-human dyadic interaction is compl...
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05/21/2023
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement
With the increasing demand for intelligent services of online video plat...
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05/17/2023
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Large language models (LLMs) have demonstrated powerful capabilities in ...
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03/16/2023
AU-aware graph convolutional network for Macro- and Micro-expression spotting
Automatic Micro-Expression (ME) spotting in long videos is a crucial ste...
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02/23/2023
Federated Nearest Neighbor Machine Translation
To protect user privacy and meet legal regulations, federated learning (...
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02/23/2023
Simple and Scalable Nearest Neighbor Machine Translation
kNN-MT is a straightforward yet powerful approach for fast domain adapta...
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01/30/2023
DAFD: Domain Adaptation via Feature Disentanglement for Image Classification
A good feature representation is the key to image classification. In pra...
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01/05/2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Although remarkable progress on the neural table-to-text methods has bee...
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01/03/2023
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates
As one of the most important psychic stress reactions, micro-expressions...
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12/21/2022
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
A computational graph in a deep neural network (DNN) denotes a specific ...
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11/26/2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Urban villages (UVs) refer to the underdeveloped informal settlement fal...
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11/02/2022
BATT: Backdoor Attack with Transformation-based Triggers
Deep neural networks (DNNs) are vulnerable to backdoor attacks. The back...
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08/05/2022
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation
As a study on the efficient usage of data, Multi-source Unsupervised Dom...
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06/21/2022
Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks
In this paper, we study the problem of inferring spatially-varying Gauss...
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06/20/2022
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach
Affordance-centric Question-driven Task Completion for Egocentric Assist...
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06/07/2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Vertical federated learning (VFL) is a privacy-preserving machine learni...
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05/23/2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation
End-to-End Speech Translation (E2E-ST) has received increasing attention...
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04/20/2022
Attention in Attention: Modeling Context Correlation for Efficient Video Classification
Attention mechanisms have significantly boosted the performance of video...
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04/19/2022
AutoField: Automating Feature Selection in Deep Recommender Systems
Feature quality has an impactful effect on recommendation performance. T...
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02/12/2022
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
Object recognition from images means to automatically find object(s) of ...
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12/21/2021
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
End-to-end speech-to-text translation (E2E-ST) is becoming increasingly ...
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12/08/2021
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
With the booming of pre-trained transformers, remarkable progress has be...
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09/24/2021
Adversarial Neural Trip Recommendation
Trip recommender system, which targets at recommending a trip consisting...
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09/24/2021
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Recently many efforts have been devoted to applying graph neural network...
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07/21/2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Drug discovery often relies on the successful prediction of protein-liga...
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02/15/2021
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Electric Vehicle (EV) has become a preferable choice in the modern trans...
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02/06/2021
Drug Package Recommendation via Interaction-aware Graph Induction
Recent years have witnessed the rapid accumulation of massive electronic...
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01/29/2021
Out-of-Town Recommendation with Travel Intention Modeling
Out-of-town recommendation is designed for those users who leave their h...
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01/01/2021
Adam revisited: a weighted past gradients perspective
Adaptive learning rate methods have been successfully applied in many fi...
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12/17/2020
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction
Accurately predicting the binding affinity between drugs and proteins is...
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12/04/2020
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Reinforcement learning (RL) has shown great promise in optimizing long-t...
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07/13/2020
CenterNet3D:An Anchor free Object Detector for Autonomous Driving
Accurate and fast 3D object detection from point clouds is a key task in...
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07/03/2020
Disentangled Graph Collaborative Filtering
Learning informative representations of users and items from the interac...
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06/16/2020
Foreground-Background Imbalance Problem in Deep Object Detectors: A Review
Recent years have witnessed the remarkable developments made by deep lea...
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11/21/2019
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring – The Winning Solution of the 2017 International Aftershock Detection Contest
Identifying the arrival times of seismic P-phases plays a significant ro...
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09/11/2019
Are Sampling Heuristics Necessary in Object Detectors?
The prevalent object detectors to date, such as Faster R-CNN and RetinaN...
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08/28/2019
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Traffic Light Control
The development of intelligent traffic light control systems is essentia...
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08/24/2019
Residual Objectness for Imbalance Reduction
For a long time, object detectors have suffered from extreme imbalance b...
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06/03/2019
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View
Recent studies have consistently given positive hints that morphology is...
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05/27/2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Recently, the Network Representation Learning (NRL) techniques, which re...
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12/21/2018
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
The wide spread use of online recruitment services has led to informatio...
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12/06/2017