b'Zhen Yang'

research

∙ 09/06/2023

GPT Can Solve Mathematical Problems Without a Calculator

Previous studies have typically assumed that large language models are u...

0 Zhen Yang, et al. ∙

research

∙ 08/31/2023

ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation

Vision-language pre-training (VLP) methods are blossoming recently, and ...

0 Weihan Wang, et al. ∙

research

∙ 08/17/2023

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Catastrophic forgetting (CF) is a phenomenon that occurs in machine lear...

0 Yun Luo, et al. ∙

research

∙ 08/09/2023

Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation

The emergence of self-supervised representation (i.e., wav2vec 2.0) allo...

0 Zirui Ge, et al. ∙

research

∙ 06/06/2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs

In-Batch contrastive learning is a state-of-the-art self-supervised meth...

0 Zhen Yang, et al. ∙

research

∙ 05/28/2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exc...

0 Mingyang Zhang, et al. ∙

research

∙ 05/23/2023

Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey

Multi-task learning has been widely applied in computational vision, nat...

0 Mingzhu Zhang, et al. ∙

research

∙ 05/20/2023

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion

Task-incremental continual learning refers to continually training a mod...

0 Yun Luo, et al. ∙

research

∙ 05/10/2023

Investigating Forgetting in Pre-Trained Representations Through Continual Learning

Representation forgetting refers to the drift of contextualized represen...

0 Yun Luo, et al. ∙

research

∙ 05/03/2023

Causal Interventions-based Few-Shot Named Entity Recognition

Few-shot named entity recognition (NER) systems aims at recognizing new ...

0 Zhen Yang, et al. ∙

research

∙ 03/22/2023

CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data

Contrastive Language-Image Pre-training, benefiting from large-scale unl...

0 Yihan Zeng, et al. ∙

research

∙ 03/19/2023

The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework

Pre-trained wav2vec2.0 model has been proved its effectiveness for speak...

0 Zirui Ge, et al. ∙

research

∙ 03/03/2023

Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View

Multi-view 3D object detection (MV3D-Det) in Bird-Eye-View (BEV) has dra...

0 Shuo Wang, et al. ∙

research

∙ 01/05/2023

Sum-Rate Maximization in Active RIS-Assisted Multi-Antenna WPCN

In this paper, we propose an active reconfigurable intelligent surface (...

0 Jie Jiang, et al. ∙

research

∙ 11/30/2022

Findings of the WMT 2022 Shared Task on Translation Suggestion

We report the result of the first edition of the WMT shared task on Tran...

0 Zhen Yang, et al. ∙

research

∙ 10/10/2022

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization

Semi-supervised semantic segmentation requires the model to effectively ...

0 Hai-Ming Xu, et al. ∙

research

∙ 10/09/2022

Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment

Word alignment which aims to extract lexicon translation equivalents bet...

0 Siyu Lai, et al. ∙

research

∙ 10/05/2022

Joint Reconfigurable Intelligent Surface Location and Passive Beamforming Optimization for Maximizing the Secrecy-Rate

The physical layer security (PLS) is investigated for reconfigurable int...

0 Haiyan Guo, et al. ∙

research

∙ 09/13/2022

Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement

Word-level Quality Estimation (QE) of Machine Translation (MT) aims to f...

0 Zhen Yang, et al. ∙

research

∙ 04/30/2022

ONCE-3DLanes: Building Monocular 3D Lane Detection

We present ONCE-3DLanes, a real-world autonomous driving dataset with la...

10 Fan Yan, et al. ∙

research

∙ 04/19/2022

Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation

Generating adversarial examples for Neural Machine Translation (NMT) wit...

0 Siyu Lai, et al. ∙

research

∙ 03/18/2022

Laneformer: Object-aware Row-Column Transformers for Lane Detection

We present Laneformer, a conceptually simple yet powerful transformer-ba...

0 Jianhua Han, et al. ∙

research

∙ 03/04/2022

EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation

Complete Multi-lingual Neural Machine Translation (C-MNMT) achieves supe...

0 Yulin Xu, et al. ∙

research

∙ 03/02/2022

TSAM: A Two-Stream Attention Model for Causal Emotion Entailment

Causal Emotion Entailment (CEE) aims to discover the potential causes be...

0 Duzhen Zhang, et al. ∙

research

∙ 10/29/2021

A hierarchical behavior prediction framework at signalized intersections

Road user behavior prediction is one of the most critical components in ...

0 Zhen Yang, et al. ∙

research

∙ 10/11/2021

WeTS: A Benchmark for Translation Suggestion

Translation Suggestion (TS), which provides alternatives for specific wo...

0 Zhen Yang, et al. ∙

research

∙ 09/27/2021

Improving Stack Overflow question title generation with copying enhanced CodeBERT model and bi-modal information

Context: Stack Overflow is very helpful for software developers who are ...

0 Fengji Zhang, et al. ∙

research

∙ 05/28/2021

Focus on Local: Detecting Lane Marker from Bottom Up via Key Point

Mainstream lane marker detection methods are implemented by predicting t...

4 Zhan Qu, et al. ∙

research

∙ 03/12/2021

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

Code comment has been an important part of computer programs, greatly fa...

0 Zhen Yang, et al. ∙

research

∙ 12/14/2020

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association

Most end-to-end Multi-Object Tracking (MOT) methods face the problems of...

8 Guangyao Zhai, et al. ∙

research

∙ 11/16/2020

Manual-Label Free 3D Detection via An Open-Source Simulator

LiDAR based 3D object detectors typically need a large amount of detaile...

1 Zhen Yang, et al. ∙

research

∙ 11/05/2020

Universal Multi-Source Domain Adaptation

Unsupervised domain adaptation enables intelligent models to transfer kn...

0 Yueming Yin, et al. ∙

research

∙ 10/29/2020

Multiple Sclerosis Severity Classification From Clinical Text

Multiple Sclerosis (MS) is a chronic, inflammatory and degenerative neur...

0 Alister D Costa, et al. ∙

research

∙ 10/15/2020

Bi-GCN: Binary Graph Convolutional Network

Graph Neural Networks (GNNs) have achieved tremendous success in graph r...

0 Junfu Wang, et al. ∙

research

∙ 10/10/2020

Unveiling Class-Labeling Structure for Universal Domain Adaptation

As a more practical setting for unsupervised domain adaptation, Universa...

0 Yueming Yin, et al. ∙

research

∙ 09/17/2020

Code-switching pre-training for neural machine translation

This paper proposes a new pre-training method, called Code-Switching Pre...

0 Zhen Yang, et al. ∙

research

∙ 05/20/2020

Understanding Negative Sampling in Graph Representation Learning

Graph representation learning has been extensively studied in recent yea...

24 Zhen Yang, et al. ∙

research

∙ 04/23/2020

Metric-Learning-Assisted Domain Adaptation

Domain alignment (DA) has been widely used in unsupervised domain adapta...

8 Yueming Yin, et al. ∙

research

∙ 04/07/2020

Optimized Energy and Information Relaying in Self-Sustainable IRS-Empowered WPCN

This paper proposes a hybrid-relaying scheme empowered by a self-sustain...

0 Bin Lyu, et al. ∙

research

∙ 02/05/2020

Entropy Minimization vs. Diversity Maximization for Domain Adaptation

Entropy minimization has been widely used in unsupervised domain adaptat...

13 Xiaofu Wu, et al. ∙

research

∙ 08/19/2019

LabelECG: A Web-based Tool for Distributed Electrocardiogram Annotation

Electrocardiography plays an essential role in diagnosing and screening ...

0 Zijian Ding, et al. ∙

research

∙ 04/21/2019

Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions

The new demands for high-reliability and ultra-high capacity wireless co...

0 Hongji Huang, et al. ∙

research

∙ 07/03/2018

Secure Transmission to the Strong User with Optimal Power Allocation in NOMA

With non-orthogonal multiple access(NOMA), we tackle the maximization of...

0 Youhong Feng, et al. ∙

research

∙ 06/25/2018

Beamforming Design and Power Allocation for Secure Transmission with NOMA

In this work, we propose a novel beamforming design to enhance physical ...

0 Youhong Feng, et al. ∙

research

∙ 04/24/2018

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised neural machine translation (NMT) is a recently proposed app...

0 Zhen Yang, et al. ∙

research

∙ 09/09/2017

Learning a Dilated Residual Network for SAR Image Despeckling

In this letter, to break the limit of the traditional linear models for ...

0 Qiang Zhang, et al. ∙

research

∙ 05/30/2017

Decorrelation of Neutral Vector Variables: Theory and Applications

In this paper, we propose novel strategies for neutral vector variable d...

0 Zhanyu Ma, et al. ∙

research

∙ 03/15/2017

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

This paper proposes an approach for applying GANs to NMT. We build a con...

0 Zhen Yang, et al. ∙

Zhen Yang

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