b'Xiang Chen'

research

∙ 09/13/2023

APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation

Based on developer needs and usage scenarios, API (Application Programmi...

0 Yafeng Gu, et al. ∙

research

∙ 06/06/2023

Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis

Many machine learning algorithms require large numbers of labeled data t...

0 Xiang Chen, et al. ∙

research

∙ 06/05/2023

DAGrid: Directed Accumulator Grid

Recent research highlights that the Directed Accumulator (DA), through i...

0 Hang Zhang, et al. ∙

research

∙ 05/30/2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling

Learning from noisy labels is a challenge that arises in many real-world...

0 Yuchen Zhuang, et al. ∙

research

∙ 05/25/2023

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients

Federated Learning (FL) is a distributed learning paradigm that empowers...

0 Min Zhang, et al. ∙

research

∙ 05/15/2023

Continual Multimodal Knowledge Graph Construction

Multimodal Knowledge Graph Construction (MKGC) involves creating structu...

0 Xiang Chen, et al. ∙

research

∙ 04/23/2023

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning

As deep learning continues to advance and is applied to increasingly com...

0 Yongbo Yu, et al. ∙

research

∙ 04/11/2023

Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency

Visual simultaneous localization and mapping (SLAM) systems face challen...

0 Xingwu Ji, et al. ∙

research

∙ 03/21/2023

Learning A Sparse Transformer Network for Effective Image Deraining

Transformers-based methods have achieved significant performance in imag...

1 Xiang Chen, et al. ∙

research

∙ 03/09/2023

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Due to the development of pre-trained language models, automated code ge...

0 Guang Yang, et al. ∙

research

∙ 02/28/2023

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Cross-domain recommendation has attracted increasing attention from indu...

0 Guoqiang Sun, et al. ∙

research

∙ 02/17/2023

Binary Embedding-based Retrieval at Tencent

Large-scale embedding-based retrieval (EBR) is the cornerstone of search...

4 Yukang Gan, et al. ∙

research

∙ 01/25/2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

Cross-domain NER is a challenging task to address the low-resource probl...

0 Xiang Chen, et al. ∙

research

∙ 12/19/2022

Reasoning with Language Model Prompting: A Survey

Reasoning, as an essential ability for complex problem-solving, can prov...

0 Shuofei Qiao, et al. ∙

research

∙ 11/29/2022

How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective

Pre-trained code generation models (PCGMs) have been widely applied in n...

0 Guang Yang, et al. ∙

research

∙ 11/24/2022

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images

Medical image registration is a challenging task involving the estimatio...

0 Xiang Chen, et al. ∙

research

∙ 11/24/2022

How We Express Ourselves Freely: Censorship, Self-censorship, and Anti-censorship on a Chinese Social Media

Censorship, anti-censorship, and self-censorship in an authoritarian reg...

0 Xiang Chen, et al. ∙

research

∙ 11/14/2022

On Analyzing the Role of Image for Visual-enhanced Relation Extraction

Multimodal relation extraction is an essential task for knowledge graph ...

0 Lei Li, et al. ∙

research

∙ 11/02/2022

Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset

Event extraction (EE) is crucial to downstream tasks such as new aggrega...

0 Haolin Deng, et al. ∙

research

∙ 10/26/2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

We study the problem of extracting N-ary relation tuples from scientific...

0 Yuchen Zhuang, et al. ∙

research

∙ 10/19/2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction

Information Extraction, which aims to extract structural relational trip...

0 Yunzhi Yao, et al. ∙

research

∙ 10/19/2022

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

This paper presents an empirical study to build relation extraction syst...

0 Xin Xu, et al. ∙

research

∙ 10/01/2022

Multimodal Analogical Reasoning over Knowledge Graphs

Analogical reasoning is fundamental to human cognition and holds an impo...

0 Ningyu Zhang, et al. ∙

research

∙ 09/30/2022

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction

Due to limited communication capacities of edge devices, most existing f...

0 Jianyi Zhang, et al. ∙

research

∙ 08/04/2022

QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM

This paper focuses on online kernel learning over a decentralized networ...

0 Ping Xu, et al. ∙

research

∙ 07/11/2022

On the Age of Information for AMP based Grant-Free Random Access

With the rapid development of Internet of Things (IoT), massive devices ...

0 Dongliang Zhang, et al. ∙

research

∙ 06/27/2022

BashExplainer: Retrieval-Augmented Bash Code Comment Generation based on Fine-tuned CodeBERT

Developers use shell commands for many tasks, such as file system manage...

0 Chi Yu, et al. ∙

research

∙ 06/20/2022

Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data

Domain adaptive text classification is a challenging problem for the lar...

0 Tian Li, et al. ∙

research

∙ 05/29/2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Prompt learning approaches have made waves in natural language processin...

0 Xiang Chen, et al. ∙

research

∙ 05/07/2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction

Multimodal named entity recognition and relation extraction (MNER and MR...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Multimodal Knowledge Graphs (MKGs), which organize visual-text factual k...

0 Xiang Chen, et al. ∙

research

∙ 05/04/2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

Pre-trained language models have contributed significantly to relation e...

0 Xiang Chen, et al. ∙

research

∙ 04/28/2022

BI-GreenNet: Learning Green's functions by boundary integral network

Green's function plays a significant role in both theoretical analysis a...

7 Guochang Lin, et al. ∙

research

∙ 04/24/2022

M2N: Mesh Movement Networks for PDE Solvers

Mainstream numerical Partial Differential Equation (PDE) solvers require...

1 Wenbin Song, et al. ∙

research

∙ 04/15/2022

Dense Learning based Semi-Supervised Object Detection

Semi-supervised object detection (SSOD) aims to facilitate the training ...

0 Binghui Chen, et al. ∙

research

∙ 04/11/2022

Defect Identification, Categorization, and Repair: Better Together

Just-In-Time defect prediction (JIT-DP) models can identify defect-induc...

0 Chao Ni, et al. ∙

research

∙ 04/07/2022

TOSE: A Fast Capacity Determination Algorithm Based on Random Matrix Theory

Wireless network capacity is one of the most important performance metri...

0 Dandan Jiang, et al. ∙

research

∙ 04/01/2022

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration

The significant success of Deep Neural Networks (DNNs) is highly promote...

0 Zirui Xu, et al. ∙

research

∙ 03/28/2022

Optimization of Directional Landmark Deployment for Visual Observer on SE(3)

An optimization method is proposed in this paper for novel deployment of...

0 Zike Lei, et al. ∙

research

∙ 03/20/2022

NeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks

In this paper, we present NeuralReshaper, a novel method for semantic re...

0 Beijia Chen, et al. ∙

research

∙ 03/17/2022

A Survey of Multi-Tenant Deep Learning Inference on GPU

Deep Learning (DL) models have achieved superior performance. Meanwhile,...

0 Fuxun Yu, et al. ∙

research

∙ 03/15/2022

Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

We present an effective unpaired learning based image dehazing network f...

0 Xiang Chen, et al. ∙

research

∙ 02/20/2022

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow

On Stack Overflow, developers can not only browse question posts to solv...

0 Ke Liu, et al. ∙

research

∙ 02/20/2022

DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning

A shellcode is a small piece of code and it is executed to exploit a sof...

0 Guang Yang, et al. ∙

research

∙ 02/17/2022

Single UHD Image Dehazing via Interpretable Pyramid Network

Currently, most single image dehazing models cannot run an ultra-high-re...

9 Boxue Xiao, et al. ∙

research

∙ 01/29/2022

A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analy...

0 Xiang Chen, et al. ∙

research

∙ 01/27/2022

Ontology-enhanced Prompt-tuning for Few-shot Learning

Few-shot Learning (FSL) is aimed to make predictions based on a limited ...

0 Hongbin Ye, et al. ∙

research

∙ 01/14/2022

Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings

Previous knowledge graph embedding approaches usually map entities to re...

0 Ningyu Zhang, et al. ∙

research

∙ 01/10/2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

We present a new open-source and extensible knowledge extraction toolkit...

79 Ningyu Zhang, et al. ∙

research

∙ 01/09/2022

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model

Trajectory Prediction (TP) is an important research topic in computer vi...

0 Chunnan Wang, et al. ∙

Xiang Chen

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