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09/15/2023
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty
Aggregating distributed energy resources in power systems significantly ...
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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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08/08/2023
Deep Learning-Based Knowledge Injection for Metaphor Detection: A Comprehensive Review
The history of metaphor research also marks the evolution of knowledge i...
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08/03/2023
Does Correction Remain A Problem For Large Language Models?
As large language models, such as GPT, continue to advance the capabilit...
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07/16/2023
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-mak...
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06/21/2023
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Communication overhead is one of the major challenges in Federated Learn...
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06/21/2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
Pre-training has achieved remarkable success when transferred to downstr...
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06/21/2023
Interactive Molecular Discovery with Natural Language
Natural language is expected to be a key medium for various human-machin...
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05/08/2023
Real-World Denoising via Diffusion Model
Real-world image denoising is an extremely important image processing pr...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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04/02/2023
Graph Mining for Cybersecurity: A Survey
The explosive growth of cyber attacks nowadays, such as malware, spam, a...
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04/02/2023
Abnormal Event Detection via Hypergraph Contrastive Learning
Abnormal event detection, which refers to mining unusual interactions am...
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03/10/2023
Neural Partial Differential Equations with Functional Convolution
We present a lightweighted neural PDE representation to discover the hid...
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12/14/2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Contrastive learning (CL), which can extract the information shared betw...
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11/30/2022
xTrimoABFold: Improving Antibody Structure Prediction without Multiple Sequence Alignments
In the field of antibody engineering, an essential task is to design a n...
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09/02/2022
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
Supply Chain Platforms (SCPs) provide downstream industries with numerou...
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08/18/2022
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution
KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic ...
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07/02/2022
GUIM – General User and Item Embedding with Mixture of Representation in E-commerce
Our goal is to build general representation (embedding) for each user an...
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06/06/2022
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives
Following SimCSE, contrastive learning based methods have achieved the s...
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05/24/2022
An Adaptive Contrastive Learning Model for Spike Sorting
Brain-computer interfaces (BCIs), is ways for electronic devices to comm...
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05/19/2022
Spatial Autoregressive Coding for Graph Neural Recommendation
Graph embedding methods including traditional shallow models and deep Gr...
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02/18/2022
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Heterogeneous Graph Neural Network (HGNN) has been successfully employed...
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12/02/2021
PartImageNet: A Large, High-Quality Dataset of Parts
A part-based object understanding facilitates efficient compositional le...
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10/06/2021
3rd Place Solution to Google Landmark Recognition Competition 2021
In this paper, we show our solution to the Google Landmark Recognition 2...
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09/29/2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Despite Graph Neural Networks (GNNs) have achieved remarkable accuracy, ...
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09/10/2021
Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization
Algorithm unfolding creates an interpretable and parsimonious neural net...
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07/23/2021
OLR 2021 Challenge: Datasets, Rules and Baselines
This paper introduces the sixth Oriental Language Recognition (OLR) 2021...
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07/22/2021
Copy and Paste method based on Pose for Re-identification
Re-identification (ReID) aims at matching objects in surveillance camera...
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06/27/2021
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
Computational Social Science (CSS), aiming at utilizing computational me...
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06/15/2021
Evaluating Modules in Graph Contrastive Learning
The recent emergence of contrastive learning approaches facilitates the ...
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06/03/2021
Projection-free Graph-based Classifier Learning using Gershgorin Disc Perfect Alignment
In semi-supervised graph-based binary classifier learning, a subset of k...
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06/01/2021
Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...
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05/18/2021
Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
In this paper, by leveraging abundant observational transaction data, we...
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04/16/2021
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Single-image room layout reconstruction aims to reconstruct the enclosed...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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03/04/2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Semi-supervised learning on graphs is an important problem in the machin...
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02/19/2021
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition
Fine-grained image recognition is very challenging due to the difficulty...
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01/07/2021
Incorporating Vision Bias into Click Models for Image-oriented Search Engine
Most typical click models assume that the probability of a document to b...
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11/27/2020
Progressively Stacking 2.0: A Multi-stage Layerwise Training Method for BERT Training Speedup
Pre-trained language models, such as BERT, have achieved significant acc...
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11/27/2020
CoRe: An Efficient Coarse-refined Training Framework for BERT
In recent years, BERT has made significant breakthroughs on many natural...
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11/05/2020
A Multi-Stage Adaptive Sampling Scheme for Passivity Characterization of Large-Scale Macromodels
This paper proposes a hierarchical adaptive sampling scheme for passivit...
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10/23/2020
Nonseparable Symplectic Neural Networks
Predicting the behaviors of Hamiltonian systems has been drawing increas...
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10/20/2020
Identification of deep breath while moving forward based on multiple body regions and graph signal analysis
This paper presents an unobtrusive solution that can automatically ident...
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07/27/2020
Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation
In this paper, we are interested in generating fine-grained cartoon face...
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07/03/2020
Adaptive Graph Encoder for Attributed Graph Embedding
Attributed graph embedding, which learns vector representations from gra...
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06/04/2020
AP20-OLR Challenge: Three Tasks and Their Baselines
This paper introduces the fifth oriental language recognition (OLR) chal...
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04/28/2020
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion
Knowledge graphs (KGs) contains an instance-level entity graph and an on...
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03/26/2020
DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation
Neural Architecture Search (NAS) has shown great potentials in automatic...
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03/13/2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space
As an essential step towards computer creativity, automatic poetry gener...
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01/28/2020