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08/22/2023
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
Multimodal data, which can comprehensively perceive and recognize the ph...
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07/18/2023
Improving Text Semantic Similarity Modeling through a 3D Siamese Network
Siamese networks have gained popularity as a method for modeling text se...
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07/14/2023
TVPR: Text-to-Video Person Retrieval and a New Benchmark
Most existing methods for text-based person retrieval focus on text-to-i...
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07/07/2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Learning on Graphs has attracted immense attention due to its wide real-...
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06/11/2023
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Molecule discovery plays a crucial role in various scientific fields, ad...
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05/25/2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
Recently, Generative Diffusion Models (GDMs) have showcased their remark...
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05/24/2023
Sharpness-Aware Data Poisoning Attack
Recent research has highlighted the vulnerability of Deep Neural Network...
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05/10/2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Multimodal misinformation on online social platforms is becoming a criti...
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04/25/2023
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
With the widespread popularity of user-generated short videos, it become...
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04/03/2023
Counterfactual Learning on Graphs: A Survey
Graph-structured data are pervasive in the real-world such as social net...
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03/26/2023
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Despite the recent emergence of video captioning models, how to generate...
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03/06/2023
Models See Hallucinations: Evaluating the Factuality in Video Captioning
Video captioning aims to describe events in a video with natural languag...
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03/01/2023
Single-Cell Multimodal Prediction via Transformers
The recent development of multimodal single-cell technology has made the...
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02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
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01/15/2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
In this paper, we study the problem of embedding the high-dimensional sp...
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12/11/2022
Technical Debt Management in OSS Projects: An Empirical Study on GitHub
Technical debt (TD) refers to delayed tasks and immature artifacts that ...
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11/19/2022
Graph Augmentation Clustering Network
Existing graph clustering networks heavily rely on a predefined graph an...
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11/17/2022
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Intelligent fault diagnosis is essential to safe operation of machinery....
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11/07/2022
Contrastive Learning enhanced Author-Style Headline Generation
Headline generation is a task of generating an appropriate headline for ...
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10/07/2022
Kernel entropy estimation for long memory linear processes with infinite variance
Let X={X_n: n∈ℕ} be a long memory linear process with innovations in the...
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10/07/2022
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Sarcasm is a linguistic phenomenon indicating a discrepancy between lite...
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09/12/2022
Learning A Unified 3D Point Cloud for View Synthesis
3D point cloud representation-based view synthesis methods have demonstr...
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08/05/2022
Task-Balanced Distillation for Object Detection
Mainstream object detectors are commonly constituted of two sub-tasks, i...
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07/09/2022
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
This paper tackles the challenging problem of hyperspectral (HS) image d...
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04/21/2022
Non-autoregressive Model for Full-line Code Completion
Code completion tools are frequently used by software developers to acce...
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04/18/2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
Graph Neural Networks (GNNs) have made rapid developments in the recent ...
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02/07/2022
What Makes a Good Commit Message?
A key issue in collaborative software development is communication among...
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01/31/2022
G^2VD Planner: An Efficient Motion Planning Approach With Grid-based Generalized Voronoi Diagrams
In this letter, an efficient motion planning approach with grid-based ge...
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01/22/2022
Content-aware Warping for View Synthesis
Existing image-based rendering methods usually adopt depth-based image w...
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01/04/2022
Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection
Deep neural networks (DNNs) are threatened by adversarial examples. Adve...
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01/01/2022
Interpretable Low-Resource Legal Decision Making
Over the past several years, legal applications of deep learning have be...
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01/01/2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Graph Neural Networks (GNNs) have shown their great ability in modeling ...
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11/10/2021
Deep Attention-guided Graph Clustering with Dual Self-supervision
Existing deep embedding clustering works only consider the deepest layer...
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09/28/2021
Adaptive Attribute and Structure Subspace Clustering Network
Deep self-expressiveness-based subspace clustering methods have demonstr...
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09/07/2021
Unsupervised Conversation Disentanglement through Co-Training
Conversation disentanglement aims to separate intermingled messages into...
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08/17/2021
Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines
In this paper, we tackle the problem of dense light field (LF) reconstru...
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08/15/2021
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
This paper investigates the problem of reconstructing hyperspectral (HS)...
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08/14/2021
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associations
Accumulated clinical studies show that microbes living in humans interac...
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08/12/2021
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
This paper investigates the problem of recovering hyperspectral (HS) ima...
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08/12/2021
Attention-driven Graph Clustering Network
The combination of the traditional convolutional network (i.e., an auto-...
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07/20/2021
A Hybrid Approach to Fine-grained Automated Fault Localization
Fault localization is to identify faulty source code. It could be done o...
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07/19/2021
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Deep neural networks (DNNs) are under threat from adversarial example at...
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06/12/2021
AutoLoss: Automated Loss Function Search in Recommendations
Designing an effective loss function plays a crucial role in training de...
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05/19/2021
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
Persona can function as the prior knowledge for maintaining the consiste...
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05/11/2021
Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment
Radar has long been a common sensor on autonomous vehicles for obstacle ...
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05/01/2021
Hidden Backdoors in Human-Centric Language Models
Natural language processing (NLP) systems have been proven to be vulnera...
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04/04/2021
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
Exploiting label hierarchies has become a promising approach to tackling...
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03/02/2021
Self-supervised Symmetric Nonnegative Matrix Factorization
Symmetric nonnegative matrix factorization (SNMF) has demonstrated to be...
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02/27/2021
Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems
High-quality and large-scale repositories of real bugs and their concise...
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02/14/2021