b'Hao Yang'

research

∙ 08/04/2022

Prompt Tuning for Generative Multimodal Pretrained Models

Prompt tuning has become a new paradigm for model tuning and it has demo...

Hao Yang, et al. ∙

research

∙ 07/22/2022

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Most existing works on few-shot object detection (FSOD) focus on a setti...

Kibok Lee, et al. ∙

research

∙ 07/21/2022

Boosting 3D Object Detection via Object-Focused Image Fusion

3D object detection has achieved remarkable progress by taking point clo...

Hao Yang, et al. ∙

research

∙ 07/03/2022

M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation

End-to-end speech-to-text translation models are often initialized with ...

Jinming Zhao, et al. ∙

research

∙ 06/28/2022

MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations

Multimodal fine-grained sentiment analysis has recently attracted increa...

Hao Yang, et al. ∙

research

∙ 06/04/2022

Instance-wise Prompt Tuning for Pretrained Language Models

Prompt Learning has recently gained great popularity in bridging the gap...

Yuezihan Jiang, et al. ∙

research

∙ 05/31/2022

K-Detector: Identifying Duplicate Crash Failures in Large-Scale Software Delivery

After a developer submits code, corresponding test cases arise to ensure...

Hao Yang, et al. ∙

research

∙ 05/04/2022

Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)

Few-shot relation learning refers to infer facts for relations with a li...

Yi Liang, et al. ∙

research

∙ 04/28/2022

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints

However, current autoregressive approaches suffer from high latency. In ...

Chun Zeng, et al. ∙

research

∙ 03/30/2022

Large-Scale Pre-training for Person Re-identification with Noisy Labels

This paper aims to address the problem of pre-training for person re-ide...

Dengpan Fu, et al. ∙

research

∙ 03/30/2022

Omni-DETR: Omni-Supervised Object Detection with Transformers

We consider the problem of omni-supervised object detection, which can u...

Pei Wang, et al. ∙

research

∙ 03/01/2022

Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors

Multimodal sentiment analysis has attracted increasing attention and lot...

Yang Wu, et al. ∙

research

∙ 02/28/2022

A GNSS Aided Initial Alignment Method for MEMS-IMU Based on Backtracking Algorithm and Backward Filtering

To obtain a high-accuracy position with SINS(Strapdown Inertial Navigati...

Xiaokang Yang, et al. ∙

research

∙ 01/13/2022

Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection

Today's cyber-world is vastly multivariate. Metrics collected at extreme...

Lan Wang, et al. ∙

research

∙ 01/01/2022

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness

It is well-known that deep neural networks (DNNs) have shown remarkable ...

Hao Yang, et al. ∙

research

∙ 12/22/2021

Joint-training on Symbiosis Networks for Deep Nueral Machine Translation models

Deep encoders have been proven to be effective in improving neural machi...

Zhengzhe Yu, et al. ∙

research

∙ 12/22/2021

Self-Distillation Mixup Training for Non-autoregressive Neural Machine Translation

Recently, non-autoregressive (NAT) models predict outputs in parallel, a...

Jiaxin Guo, et al. ∙

research

∙ 12/22/2021

Diformer: Directional Transformer for Neural Machine Translation

Autoregressive (AR) and Non-autoregressive (NAR) models have their own s...

Minghan Wang, et al. ∙

research

∙ 12/06/2021

General Facial Representation Learning in a Visual-Linguistic Manner

How to learn a universal facial representation that boosts all face anal...

Yinglin Zheng, et al. ∙

research

∙ 10/29/2021

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

Multi-agent control is a central theme in the Cyber-Physical Systems (CP...

Wenqing Zheng, et al. ∙

research

∙ 09/13/2021

ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment

The recent progress of CNN has dramatically improved face alignment perf...

Yangyu Huang, et al. ∙

research

∙ 08/31/2021

How Does Adversarial Fine-Tuning Benefit BERT?

Adversarial training (AT) is one of the most reliable methods for defend...

Javid Ebrahimi, et al. ∙

research

∙ 08/15/2021

Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection

Modeling inter-dependencies between time-series is the key to achieve hi...

Yuhang Wu, et al. ∙

research

∙ 08/09/2021

The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation

This paper describes our work in participation of the IWSLT-2021 offline...

Minghan Wang, et al. ∙

research

∙ 07/27/2021

Task and Situation Structures for Service Agent Planning

Everyday tasks are characterized by their varieties and variations, and ...

Hao Yang, et al. ∙

research

∙ 04/01/2021

Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering

Question Answering (QA) models over Knowledge Bases (KBs) are capable of...

Xu Wang, et al. ∙

research

∙ 03/03/2021

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

In this paper, we proposed a novel Style-based Point Generator with Adve...

Chulin Xie, et al. ∙

research

∙ 12/31/2020

Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions

Adversarial examples are input examples that are specifically crafted to...

Yuhang Wu, et al. ∙

research

∙ 12/07/2020

Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...

Dengpan Fu, et al. ∙

research

∙ 08/05/2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint

Multi-contrast magnetic resonance (MR) image registration is essential i...

Weijian Huang, et al. ∙

research

∙ 06/18/2020

Category-Specific CNN for Visual-aware CTR Prediction at JD.com

As one of the largest B2C e-commerce platforms in China, JD.com also pow...

Hu Liu, et al. ∙

research

∙ 06/05/2020

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

We study the problem of making item recommendations to ephemeral groups,...

Aravind Sankar, et al. ∙

research

∙ 05/21/2020

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation

The rapid proliferation of new users and items on the social web has agg...

Adit Krishnan, et al. ∙

research

∙ 05/13/2020

Fashion Recommendation and Compatibility Prediction Using Relational Network

Fashion is an inherently visual concept and computer vision and artifici...

Maryam Moosaei, et al. ∙

research

∙ 03/24/2020

Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study

Deep learning-based systems have been shown to be vulnerable to adversar...

Luan Nguyen, et al. ∙

research

∙ 03/17/2020

Feedback Graph Convolutional Network for Skeleton-based Action Recognition

Skeleton-based action recognition has attracted considerable attention i...

Hao Yang, et al. ∙

research

∙ 02/13/2020

Continual Universal Object Detection

Object detection has improved significantly in recent years on multiple ...

Xialei Liu, et al. ∙

research

∙ 12/31/2019

Face X-ray for More General Face Forgery Detection

In this paper we propose a novel image representation called face X-ray ...

Lingzhi Li, et al. ∙

research

∙ 12/31/2019

FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

In this work, we propose a novel two-stage framework, called FaceShifter...

Lingzhi Li, et al. ∙

research

∙ 12/30/2019

Text Steganalysis with Attentional LSTM-CNN

With the rapid development of Natural Language Processing (NLP) technolo...

YongJian Bao, et al. ∙

research

∙ 11/02/2019

FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis of VoIP Stream via Multi-head Attention

Extracting correlation features between codes-words with high computatio...

Hao Yang, et al. ∙

research

∙ 10/31/2019

Fast Steganalysis Method for VoIP Streams

In this letter, we present a novel and extremely fast steganalysis metho...

Hao Yang, et al. ∙

research

∙ 10/10/2019

Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals

With the Volume of Voice over IP (VoIP) traffic rises shapely, more and ...

Hao Yang, et al. ∙

research

∙ 08/22/2019

motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks

Recent years have witnessed a surge of interest in machine learning on g...

Manoj Reddy Dareddy, et al. ∙

research

∙ 08/14/2019

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes

Recent advances in deep learning greatly boost the performance of object...

Hao Yang, et al. ∙

research

∙ 07/23/2019

Position Focused Attention Network for Image-Text Matching

Image-text matching tasks have recently attracted a lot of attention in ...

Yaxiong Wang, et al. ∙

research

∙ 07/16/2019

Predicting Next-Season Designs on High Fashion Runway

Fashion is a large and fast-changing industry. Foreseeing the upcoming f...

Yusan Lin, et al. ∙

research

∙ 07/16/2019

CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

Segmenting stroke lesions from T1-weighted MR images is of great value f...

Hao Yang, et al. ∙

research

∙ 07/16/2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

The morbidity of brain stroke increased rapidly in the past few years. T...

Kehan Qi, et al. ∙

research

∙ 06/04/2019

Face Parsing with RoI Tanh-Warping

Face parsing computes pixel-wise label maps for different semantic compo...

Jinpeng Lin, et al. ∙

Hao Yang

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