b'Han Zhang'

research

∙ 08/15/2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

While parameter efficient tuning (PET) methods have shown great potentia...

Hao Chen, et al. ∙

research

∙ 08/12/2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search

Pretrain-Finetune paradigm recently becomes prevalent in many NLP tasks:...

Yiming Qiu, et al. ∙

research

∙ 08/02/2022

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing

Recently, open radio access network (O-RAN) has become a promising techn...

Han Zhang, et al. ∙

research

∙ 06/22/2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...

Jiahui Yu, et al. ∙

research

∙ 05/24/2022

Faithful Explanations for Deep Graph Models

This paper studies faithful explanations for Graph Neural Networks (GNNs...

Zifan Wang, et al. ∙

research

∙ 05/19/2022

Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method

Multicasting is an efficient technique to simultaneously transmit common...

Ran Li, et al. ∙

research

∙ 05/09/2022

Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control

The rapid increase in the adoption of Internet-of-Things (IoT) devices r...

Dohyun Kim, et al. ∙

research

∙ 05/06/2022

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder

Dense retrievers encode texts and map them in an embedding space using p...

Zhenghao Liu, et al. ∙

research

∙ 04/07/2022

Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes

In recent works, utilizing a deep network trained on meta-training set s...

Ran Tao, et al. ∙

research

∙ 04/04/2022

MaxViT: Multi-Axis Vision Transformer

Transformers have recently gained significant attention in the computer ...

Zhengzhong Tu, et al. ∙

research

∙ 04/01/2022

Unitail: Detecting, Reading, and Matching in Retail Scene

To make full use of computer vision technology in stores, it is required...

Fangyi Chen, et al. ∙

research

∙ 03/30/2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

We propose a test-time adaptation method for cross-domain image segmenta...

Yuliang Zou, et al. ∙

research

∙ 03/13/2022

PNM: Pixel Null Model for General Image Segmentation

A major challenge in image segmentation is classifying object boundaries...

Han Zhang, et al. ∙

research

∙ 03/09/2022

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes

Product quantization (PQ) coupled with a space rotation, is widely used ...

Yunjiang Jiang, et al. ∙

research

∙ 02/27/2022

Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component

Medical image segmentation, which aims to automatically extract anatomic...

Han Zhang, et al. ∙

research

∙ 02/21/2022

StyleBERT: Chinese pretraining by font style information

With the success of down streaming task using English pre-trained langua...

Chao Lv, et al. ∙

research

∙ 02/08/2022

MaskGIT: Masked Generative Image Transformer

Generative transformers have experienced rapid popularity growth in the ...

Huiwen Chang, et al. ∙

research

∙ 01/19/2022

Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)

Recently, the concept of open radio access network (O-RAN) has been prop...

Han Zhang, et al. ∙

research

∙ 01/09/2022

MAXIM: Multi-Axis MLP for Image Processing

Recent progress on Transformers and multi-layer perceptron (MLP) models ...

Zhengzhong Tu, et al. ∙

research

∙ 12/31/2021

ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation

Conventional methods for the image-text generation tasks mainly tackle t...

Han Zhang, et al. ∙

research

∙ 12/14/2021

Temporal Transformer Networks with Self-Supervision for Action Recognition

In recent years, 2D Convolutional Networks-based video action recognitio...

Yongkang Zhang, et al. ∙

research

∙ 12/09/2021

BLT: Bidirectional Layout Transformer for Controllable Layout Generation

Creating visual layouts is an important step in graphic design. Automati...

Xiang Kong, et al. ∙

research

∙ 11/08/2021

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

Host-based threats such as Program Attack, Malware Implantation, and Adv...

Su Wang, et al. ∙

research

∙ 10/09/2021

Vector-quantized Image Modeling with Improved VQGAN

Pretraining language models with next-token prediction on massive text c...

Jiahui Yu, et al. ∙

research

∙ 09/23/2021

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Unsupervised Deep Learning (DL) techniques have been widely used in vari...

Dongqi Han, et al. ∙

research

∙ 09/01/2021

Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks

In this paper, we consider covert beamforming design for intelligent ref...

Shuai Ma, et al. ∙

research

∙ 07/11/2021

Theoretical Limit of Radar Parameter Estimation

In the field of radar parameter estimation, Cramer-Rao bound (CRB) is a ...

Dazhuan Xu, et al. ∙

research

∙ 07/09/2021

ViTGAN: Training GANs with Vision Transformers

Recently, Vision Transformers (ViTs) have shown competitive performance ...

Kwonjoon Lee, et al. ∙

research

∙ 07/09/2021

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

In many applications of computer graphics, art and design, it is desirab...

Yuan Xue, et al. ∙

research

∙ 07/01/2021

SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search

Graph convolution networks (GCN), which recently becomes new state-of-th...

Xinlin Xia, et al. ∙

research

∙ 06/14/2021

Improved Transformer for High-Resolution GANs

Attention-based models, exemplified by the Transformer, can effectively ...

Long Zhao, et al. ∙

research

∙ 05/26/2021

Aggregating Nested Transformers

Although hierarchical structures are popular in recent vision transforme...

Zizhao Zhang, et al. ∙

research

∙ 05/09/2021

Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index

Embedding index that enables fast approximate nearest neighbor(ANN) sear...

Han Zhang, et al. ∙

research

∙ 04/23/2021

Transfer training from smaller language model

Large language models have led to state-of-the-art accuracies across a r...

Han Zhang, et al. ∙

research

∙ 04/14/2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Learning to predict the long-term future of video frames is notoriously ...

Wonkwang Lee, et al. ∙

research

∙ 03/01/2021

Query Rewriting via Cycle-Consistent Translation for E-Commerce Search

Nowadays e-commerce search has become an integral part of many people's ...

Yiming Qiu, et al. ∙

research

∙ 02/16/2021

A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images

Change detection (CD) in remote sensing images has been an ever-expandin...

Junzheng Wu, et al. ∙

research

∙ 01/12/2021

Cross-Modal Contrastive Learning for Text-to-Image Generation

The output of text-to-image synthesis systems should be coherent, clear,...

Han Zhang, et al. ∙

research

∙ 12/15/2020

Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework

Since the label collecting is prohibitive and time-consuming, unsupervis...

Han Zhang, et al. ∙

research

∙ 11/15/2020

Transfer learning of chaotic systems

Can a neural network trained by the time series of system A be used to p...

Yali Guo, et al. ∙

research

∙ 10/23/2020

ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding

Coarse-grained linguistic information, such as name entities or phrases,...

Dongling Xiao, et al. ∙

research

∙ 10/19/2020

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation

Recent advances in semi-supervised learning (SSL) demonstrate that a com...

Yuliang Zou, et al. ∙

research

∙ 09/15/2020

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy

The human brains are organized into hierarchically modular networks faci...

Xuyun Wen, et al. ∙

research

∙ 08/05/2020

GloDyNE: Global Topology Preserving Dynamic Network Embedding

Learning low-dimensional topological representation of a network in dyna...

Chengbin Hou, et al. ∙

research

∙ 07/31/2020

Improving NER's Performance with Massive financial corpus

Training large deep neural networks needs massive high quality annotatio...

Han Zhang, et al. ∙

research

∙ 07/01/2020

From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation

Graph convolutional networks (GCN) have been recently applied to semi-su...

Han Zhang, et al. ∙

research

∙ 06/27/2020

A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem

The reliable facility location problem (RFLP) is an important research t...

Han Zhang, et al. ∙

research

∙ 06/04/2020

Image Augmentations for GAN Training

Data augmentations have been widely studied to improve the accuracy and ...

Zhengli Zhao, et al. ∙

research

∙ 06/03/2020

Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...

Han Zhang, et al. ∙

research

∙ 06/03/2020

Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning

Nowadays e-commerce search has become an integral part of many people's ...

Han Zhang, et al. ∙

Han Zhang

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