b'Zheng Zhang'

research

∙ 08/02/2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

Text classification can be useful in many real-world scenarios, saving a...

Eyal Shnarch, et al. ∙

research

∙ 07/11/2022

SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild

Sketch-based 3D shape retrieval (SBSR) is an important yet challenging t...

Jie Qin, et al. ∙

research

∙ 07/04/2022

TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing

Physics-informed neural networks (PINNs) have been increasingly employed...

Ziyue Liu, et al. ∙

research

∙ 07/04/2022

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling

Unsupervised domain adaptation (UDA) methods have been broadly utilized ...

Canran Li, et al. ∙

research

∙ 06/26/2022

Self-Healing Robust Neural Networks via Closed-Loop Control

Despite the wide applications of neural networks, there have been increa...

Zhuotong Chen, et al. ∙

research

∙ 06/09/2022

On Data Scaling in Masked Image Modeling

An important goal of self-supervised learning is to enable model pre-tra...

Zhenda Xie, et al. ∙

research

∙ 06/06/2022

Predicting Electricity Infrastructure Induced Wildfire Risk in California

This paper examines the use of risk models to predict the timing and loc...

Mengqi Yao, et al. ∙

research

∙ 05/27/2022

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation

Masked image modeling (MIM) learns representations with remarkably good ...

Yixuan Wei, et al. ∙

research

∙ 05/26/2022

Revealing the Dark Secrets of Masked Image Modeling

Masked image modeling (MIM) as pre-training is shown to be effective for...

Zhenda Xie, et al. ∙

research

∙ 05/21/2022

Tensor Shape Search for Optimum Data Compression

Various tensor decomposition methods have been proposed for data compres...

Ryan Solgi, et al. ∙

research

∙ 04/24/2022

Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users

Risk assessment is a substantial problem for financial institutions that...

Zheng Zhang, et al. ∙

research

∙ 04/23/2022

Dialogue Meaning Representation for Task-Oriented Dialogue Systems

Dialogue meaning representation formulates natural language utterance se...

Xiangkun Hu, et al. ∙

research

∙ 04/22/2022

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition

Image classification, which classifies images by pre-defined categories,...

Yixuan Wei, et al. ∙

research

∙ 04/18/2022

Centralized Adversarial Learning for Robust Deep Hashing

Deep hashing has been extensively utilized in massive image retrieval be...

Xunguang Wang, et al. ∙

research

∙ 04/16/2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation

Data augmentations (DA) are the cores to achieving robust sequence-to-se...

Zheng Zhang, et al. ∙

research

∙ 04/12/2022

Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs

This work studies the porting and optimization of the tensor network sim...

Danylo Lykov, et al. ∙

research

∙ 03/26/2022

Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension

Question answering (QA) is a fundamental means to facilitate assessment ...

Ying Xu, et al. ∙

research

∙ 03/17/2022

EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training

Large-scale pre-training has shown remarkable performance in building op...

Yuxian Gu, et al. ∙

research

∙ 03/09/2022

Multi-robot Cooperative Pursuit via Potential Field-Enhanced Reinforcement Learning

It is of great challenge, though promising, to coordinate collective rob...

Zheng Zhang, et al. ∙

research

∙ 02/13/2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement

Despite its benefits for children's skill development and parent-child b...

Zheng Zhang, et al. ∙

research

∙ 01/24/2022

Towards Collaborative Question Answering: A Preliminary Study

Knowledge and expertise in the real-world can be disjointedly owned. To ...

Xiangkun Hu, et al. ∙

research

∙ 01/18/2022

Online, Informative MCMC Thinning with Kernelized Stein Discrepancy

A fundamental challenge in Bayesian inference is efficient representatio...

Cole Hawkins, et al. ∙

research

∙ 12/31/2021

A Critical Review of Inductive Logic Programming Techniques for Explainable AI

Despite recent advances in modern machine learning algorithms, the opaqu...

Zheng Zhang, et al. ∙

research

∙ 12/29/2021

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model

Recently, zero-shot image classification by vision-language pre-training...

Mengde Xu, et al. ∙

research

∙ 11/18/2021

SimMIM: A Simple Framework for Masked Image Modeling

This paper presents SimMIM, a simple framework for masked image modeling...

Zhenda Xie, et al. ∙

research

∙ 11/18/2021

Swin Transformer V2: Scaling Up Capacity and Resolution

We present techniques for scaling Swin Transformer up to 3 billion param...

Ze Liu, et al. ∙

research

∙ 11/04/2021

Bootstrap Your Object Detector via Mixed Training

We introduce MixTraining, a new training paradigm for object detection t...

Mengde Xu, et al. ∙

research

∙ 09/08/2021

A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict

Sarcasm employs ambivalence, where one says something positive but actua...

Yiyi Liu, et al. ∙

research

∙ 09/07/2021

Kinship Verification Based on Cross-Generation Feature Interaction Learning

Kinship verification from facial images has been recognized as an emergi...

Guan-Nan Dong, et al. ∙

research

∙ 09/07/2021

Deep Collaborative Multi-Modal Learning for Unsupervised Kinship Estimation

Kinship verification is a long-standing research challenge in computer v...

Guan-Nan Dong, et al. ∙

research

∙ 08/09/2021

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval

Hashing learns compact binary codes to store and retrieve massive data e...

Hui Cui, et al. ∙

research

∙ 08/03/2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

Although pre-trained language models have remarkably enhanced the genera...

Hao Zhou, et al. ∙

research

∙ 07/12/2021

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation

With the development of deep encoder-decoder architectures and large-sca...

Bingzhi Chen, et al. ∙

research

∙ 07/03/2021

Learning Hierarchical Graph Neural Networks for Image Clustering

We propose a hierarchical graph neural network (GNN) model that learns h...

Yifan Xing, et al. ∙

research

∙ 06/24/2021

Video Swin Transformer

The vision community is witnessing a modeling shift from CNNs to Transfo...

Ze Liu, et al. ∙

research

∙ 06/16/2021

End-to-End Semi-Supervised Object Detection with Soft Teacher

This paper presents an end-to-end semi-supervised object detection appro...

Mengde Xu, et al. ∙

research

∙ 06/12/2021

DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation

Automatic medical image segmentation has made great progress benefit fro...

Ailiang Lin, et al. ∙

research

∙ 06/08/2021

A Unified Generative Framework for Aspect-Based Sentiment Analysis

Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms...

Hang Yan, et al. ∙

research

∙ 06/02/2021

A Unified Generative Framework for Various NER Subtasks

Named Entity Recognition (NER) is the task of identifying spans that rep...

Hang Yan, et al. ∙

research

∙ 05/17/2021

Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing

Due to its powerful capability of representation learning and high-effic...

Xunguang Wang, et al. ∙

research

∙ 05/11/2021

3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration

The deep neural network (DNN) based AI applications on the edge require ...

Yao Chen, et al. ∙

research

∙ 05/10/2021

Self-Supervised Learning with Swin Transformers

We are witnessing a modeling shift from CNN to Transformers in computer ...

Zhenda Xie, et al. ∙

research

∙ 04/10/2021

Meta-tuning Language Models to Answer Prompts Better

Large pretrained language models like GPT-3 have acquired a surprising a...

Ruiqi Zhong, et al. ∙

research

∙ 04/07/2021

On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method

Various hardware accelerators have been developed for energy-efficient a...

Kaiqi Zhang, et al. ∙

research

∙ 03/31/2021

High-Dimensional Uncertainty Quantification via Rank- and Sample-Adaptive Tensor Regression

Fabrication process variations can significantly influence the performan...

Zichang He, et al. ∙

research

∙ 03/25/2021

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

This paper presents a new vision Transformer, called Swin Transformer, t...

Ze Liu, et al. ∙

research

∙ 03/10/2021

Graph Neural Networks Inspired by Classical Iterative Algorithms

Despite the recent success of graph neural networks (GNN), common archit...

Yongyi Yang, et al. ∙

research

∙ 02/10/2021

Bayesian Inference with Certifiable Adversarial Robustness

We consider adversarial training of deep neural networks through the len...

Matthew Wicker, et al. ∙

research

∙ 02/03/2021

Towards Robust Neural Networks via Close-loop Control

Despite their success in massive engineering applications, deep neural n...

Zhuotong Chen, et al. ∙

research

∙ 01/20/2021

Semantic Disentangling Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...

Zhi Chen, et al. ∙

Zheng Zhang

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