b'Dan Zhang'

research

∙ 08/21/2023

DocPrompt: Large-scale continue pretrain for zero-shot and few-shot document question answering

In this paper, we propose Docprompt for document question answering task...

0 Sijin Wu, et al. ∙

research

∙ 08/19/2023

Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation

Within the context of autonomous driving, encountering unknown objects b...

0 Dan Zhang, et al. ∙

research

∙ 08/09/2023

A New Family of Perfect Polyphase Sequences with Low Cross-Correlation

Spread spectrum multiple access systems demand minimum possible cross-co...

0 Dan Zhang, et al. ∙

research

∙ 08/01/2023

Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review

The advent of deep learning has brought a revolutionary transformation t...

0 Dan Zhang, et al. ∙

research

∙ 07/20/2023

Divide Bind Your Attention for Improved Generative Semantic Nursing

Emerging large-scale text-to-image generative models, e.g., Stable Diffu...

0 Yumeng Li, et al. ∙

research

∙ 07/02/2023

Intra- Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization

The generalization with respect to domain shifts, as they frequently app...

0 Yumeng Li, et al. ∙

research

∙ 06/12/2023

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Large text-to-image diffusion models have impressive capabilities in gen...

0 Zeju Qiu, et al. ∙

research

∙ 06/08/2023

Contrastive Representation Disentanglement for Clustering

Clustering continues to be a significant and challenging task. Recent st...

0 Fei Ding, et al. ∙

research

∙ 06/05/2023

Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity

Modern predictive models are often deployed to environments in which com...

0 Metod Jazbec, et al. ∙

research

∙ 04/20/2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

Large-scale pre-trained models have achieved remarkable success in a var...

0 Peng Cui, et al. ∙

research

∙ 04/10/2023

High Dynamic Range Imaging with Context-aware Transformer

Avoiding the introduction of ghosts when synthesising LDR images as high...

0 Fangfang Zhou, et al. ∙

research

∙ 04/04/2023

Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer

In recent years, the development of deep learning has been pushing image...

0 Dan Zhang, et al. ∙

research

∙ 04/04/2023

MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network

Recent advances in deep learning have been pushing image denoising techn...

0 Dan Zhang, et al. ∙

research

∙ 03/23/2023

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks

Data science workflows are human-centered processes involving on-demand ...

0 Frederick Choi, et al. ∙

research

∙ 03/09/2023

Identification of Systematic Errors of Image Classifiers on Rare Subgroups

Despite excellent average-case performance of many image classifiers, th...

0 Jan-Hendrik Metzen, et al. ∙

research

∙ 03/02/2023

Learning From Yourself: A Self-Distillation Method for Fake Speech Detection

In this paper, we propose a novel self-distillation method for fake spee...

0 Jun Xue, et al. ∙

research

∙ 02/19/2023

Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference

How humans infer discrete emotions is a fundamental research question in...

6 Ming Li, et al. ∙

research

∙ 01/09/2023

Towards Multifaceted Human-Centered AI

Human-centered AI workflows involve stakeholders with multiple roles int...

9 Sajjadur Rahman, et al. ∙

research

∙ 01/08/2023

MEGAnno: Exploratory Labeling for NLP in Computational Notebooks

We present MEGAnno, a novel exploratory annotation framework designed fo...

5 Dan Zhang, et al. ∙

research

∙ 12/22/2022

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

We address the task of open-world class-agnostic object detection, i.e.,...

7 Haiwen Huang, et al. ∙

research

∙ 11/29/2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration

Microprocessor architects are increasingly resorting to domain-specific ...

21 Srivatsan Krishnan, et al. ∙

research

∙ 11/02/2022

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model

Pre-trained multilingual language models play an important role in cross...

0 Mingqi Li, et al. ∙

research

∙ 10/18/2022

Intra-Source Style Augmentation for Improved Domain Generalization

The generalization with respect to domain shifts, as they frequently app...

7 Yumeng Li, et al. ∙

research

∙ 10/11/2022

TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task Consistency

Semantic segmentation is a classic computer vision problem dedicated to ...

0 Dan Zhang, et al. ∙

research

∙ 10/04/2022

Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning

Dataset discovery from data lakes is essential in many real application ...

0 Grace Fan, et al. ∙

research

∙ 09/15/2022

One-Shot Synthesis of Images and Segmentation Masks

Joint synthesis of images and segmentation masks with generative adversa...

0 Vadim Sushko, et al. ∙

research

∙ 08/23/2022

Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning

Automated detection of retinal structures, such as retinal vessels (RV),...

11 Jinkui Hao, et al. ∙

research

∙ 07/26/2022

A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States

Accurate prediction of roll motion in high sea state is significant for ...

0 Dan Zhang, et al. ∙

research

∙ 07/25/2022

Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction

Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...

6 Huaying Hao, et al. ∙

research

∙ 05/14/2022

Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap

As a rising task, panoptic segmentation is faced with challenges in both...

4 Jinke Li, et al. ∙

research

∙ 09/20/2021

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

Emotion recognition plays a vital role in human-machine interactions and...

9 Xinke Shen, et al. ∙

research

∙ 05/26/2021

A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators

The rapidly-changing deep learning landscape presents a unique opportuni...

0 Dan Zhang, et al. ∙

research

∙ 02/16/2021

MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN

Magnetic induction tomography (MIT) is an efficient solution for long-te...

5 Zuohui Chen, et al. ∙

research

∙ 06/23/2020

Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning

Post-hoc calibration is a common approach for providing high-quality con...

0 Kanil Patel, et al. ∙

research

∙ 06/18/2020

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Deep generative networks trained via maximum likelihood on a natural ima...

0 Robin Tibor Schirrmeister, et al. ∙

research

∙ 05/28/2020

Improving Generalized Zero-Shot Learning by Semantic Discriminator

It is a recognized fact that the classification accuracy of unseen class...

0 Xinpeng Li, et al. ∙

research

∙ 12/16/2019

On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration

Uncertainty estimates help to identify ambiguous, novel, or anomalous in...

22 Kanil Patel, et al. ∙

research

∙ 11/14/2019

Sato: Contextual Semantic Type Detection in Tables

Detecting the semantic types of data columns in relational tables is imp...

0 Dan Zhang, et al. ∙

research

∙ 08/09/2019

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization

Deep neural networks achieve state-of-the-art results on several tasks w...

0 Chaithanya Kumar Mummadi, et al. ∙

research

∙ 06/17/2019

PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine

POLSAR image has an advantage over optical image because it can be acqui...

0 Xu Liu, et al. ∙

research

∙ 02/22/2019

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

Predicting the potential relations between nodes in networks, known as l...

0 Jinyin Chen, et al. ∙

research

∙ 01/29/2019

PA-GAN: Improving GAN Training by Progressive Augmentation

Training of Generative Adversarial Networks (GANs) is notoriously fragil...

0 Dan Zhang, et al. ∙

research

∙ 08/10/2018

Ektelo: A Framework for Defining Differentially-Private Computations

The adoption of differential privacy is growing but the complexity of de...

0 Dan Zhang, et al. ∙

research

∙ 08/05/2018

On the Fairness of Quality-based Data Markets

For data pricing, data quality is a factor that must be considered. To k...

0 Dan Zhang, et al. ∙

research

∙ 07/09/2018

Polarimetric Convolutional Network for PolSAR Image Classification

The approaches for analyzing the polarimetric scattering matrix of polar...

4 Xu Liu, et al. ∙

research

∙ 12/20/2017

Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning

Gastric cancer is the second leading cause of cancer-related deaths worl...

0 Yang Nan, et al. ∙

research

∙ 12/23/2004

Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher

In ISNN'04, a novel symmetric cipher was proposed, by combining a chaoti...

0 Chengqing Li, et al. ∙

Dan Zhang

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