b'Cheng Yang'

research

∙ 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 ...

0 Wei Jiang, et al. ∙

research

∙ 08/21/2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents

Autonomous agents empowered by Large Language Models (LLMs) have undergo...

0 Weize Chen, et al. ∙

research

∙ 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...

0 Cheng Yang, et al. ∙

research

∙ 08/03/2023

Does Correction Remain A Problem For Large Language Models?

As large language models, such as GPT, continue to advance the capabilit...

0 Xiaowu Zhang, et al. ∙

research

∙ 07/16/2023

Communicative Agents for Software Development

Software engineering is a domain characterized by intricate decision-mak...

0 Chen Qian, et al. ∙

research

∙ 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...

0 Cheng Yang, et al. ∙

research

∙ 06/21/2023

Task-Robust Pre-Training for Worst-Case Downstream Adaptation

Pre-training has achieved remarkable success when transferred to downstr...

0 Jianghui Wang, et al. ∙

research

∙ 06/21/2023

Interactive Molecular Discovery with Natural Language

Natural language is expected to be a key medium for various human-machin...

0 Zheni Zeng, et al. ∙

research

∙ 05/08/2023

Real-World Denoising via Diffusion Model

Real-world image denoising is an extremely important image processing pr...

0 Cheng Yang, et al. ∙

research

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

research

∙ 04/02/2023

Graph Mining for Cybersecurity: A Survey

The explosive growth of cyber attacks nowadays, such as malware, spam, a...

0 Bo Yan, et al. ∙

research

∙ 04/02/2023

Abnormal Event Detection via Hypergraph Contrastive Learning

Abnormal event detection, which refers to mining unusual interactions am...

0 Bo Yan, et al. ∙

research

∙ 03/10/2023

Neural Partial Differential Equations with Functional Convolution

We present a lightweighted neural PDE representation to discover the hid...

0 Ziqian Wu, et al. ∙

research

∙ 12/14/2022

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning

Contrastive learning (CL), which can extract the information shared betw...

0 Xumeng Gong, et al. ∙

research

∙ 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...

0 Yining Wang, et al. ∙

research

∙ 09/02/2022

GReS: Graphical Cross-domain Recommendation for Supply Chain Platform

Supply Chain Platforms (SCPs) provide downstream industries with numerou...

1 Zhiwen Jing, et al. ∙

research

∙ 08/18/2022

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution

KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic ...

0 Fangquan Lin, et al. ∙

research

∙ 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...

0 Chao Yang, et al. ∙

research

∙ 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...

0 Wei Wang, et al. ∙

research

∙ 05/24/2022

An Adaptive Contrastive Learning Model for Spike Sorting

Brain-computer interfaces (BCIs), is ways for electronic devices to comm...

0 Lang Qian, et al. ∙

research

∙ 05/19/2022

Spatial Autoregressive Coding for Graph Neural Recommendation

Graph embedding methods including traditional shallow models and deep Gr...

16 Jiayi Zheng, et al. ∙

research

∙ 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...

18 Tianyu Zhao, et al. ∙

research

∙ 12/02/2021

PartImageNet: A Large, High-Quality Dataset of Parts

A part-based object understanding facilitates efficient compositional le...

18 Ju He, et al. ∙

research

∙ 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...

29 Cheng Xu, et al. ∙

research

∙ 09/29/2021

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Despite Graph Neural Networks (GNNs) have achieved remarkable accuracy, ...

5 Xiao Wang, et al. ∙

research

∙ 09/10/2021

Unfolding Projection-free SDP Relaxation of Binary Graph Classifier via GDPA Linearization

Algorithm unfolding creates an interpretable and parsimonious neural net...

5 Cheng Yang, et al. ∙

research

∙ 07/23/2021

OLR 2021 Challenge: Datasets, Rules and Baselines

This paper introduces the sixth Oriental Language Recognition (OLR) 2021...

4 Binling Wang, et al. ∙

research

∙ 07/22/2021

Copy and Paste method based on Pose for Re-identification

Re-identification (ReID) aims at matching objects in surveillance camera...

14 Cheng Yang, et al. ∙

research

∙ 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...

0 Huimin Chen, et al. ∙

research

∙ 06/15/2021

Evaluating Modules in Graph Contrastive Learning

The recent emergence of contrastive learning approaches facilitates the ...

16 Ganqu Cui, et al. ∙

research

∙ 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...

5 Cheng Yang, et al. ∙

research

∙ 06/01/2021

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning

Semi-Supervised Learning (SSL) has shown its strong ability in utilizing...

11 Ju He, et al. ∙

research

∙ 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...

15 Junhao Hua, et al. ∙

research

∙ 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...

7 Cheng Yang, et al. ∙

research

∙ 03/14/2021

TransFG: A Transformer Architecture for Fine-grained Recognition

Fine-grained visual classification (FGVC) which aims at recognizing obje...

12 Ju He, et al. ∙

research

∙ 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...

16 Cheng Yang, et al. ∙

research

∙ 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...

5 Shaokang Yang, et al. ∙

research

∙ 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...

4 Ningxin Xu, et al. ∙

research

∙ 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...

2 Cheng Yang, et al. ∙

research

∙ 11/27/2020

CoRe: An Efficient Coarse-refined Training Framework for BERT

In recent years, BERT has made significant breakthroughs on many natural...

3 Cheng Yang, et al. ∙

research

∙ 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...

0 Marco De Stefano, et al. ∙

research

∙ 10/23/2020

Nonseparable Symplectic Neural Networks

Predicting the behaviors of Hamiltonian systems has been drawing increas...

6 Shiying Xiong, et al. ∙

research

∙ 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...

0 Yunlu Wang, et al. ∙

research

∙ 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...

0 Nan Zhuang, et al. ∙

research

∙ 07/03/2020

Adaptive Graph Encoder for Attributed Graph Embedding

Attributed graph embedding, which learns vector representations from gra...

0 Ganqu Cui, et al. ∙

research

∙ 06/04/2020

AP20-OLR Challenge: Three Tasks and Their Baselines

This paper introduces the fifth oriental language recognition (OLR) chal...

0 Zheng Li, et al. ∙

research

∙ 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...

0 Jie Zhou, et al. ∙

research

∙ 03/26/2020

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

Neural Architecture Search (NAS) has shown great potentials in automatic...

0 Xiong Zhang, et al. ∙

research

∙ 03/13/2020

MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space

As an essential step towards computer creativity, automatic poetry gener...

0 Xiaoyuan Yi, et al. ∙

research

∙ 01/28/2020

Fast Graph Metric Learning via Gershgorin Disc Alignment

We propose a fast general projection-free metric learning framework, whe...

0 Cheng Yang, et al. ∙

Cheng Yang

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