Changshui Zhang

research

∙ 09/08/2023

From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models

Diffusion models have revolted the field of text-to-image generation rec...

0 Changming Xiao, et al. ∙

research

∙ 07/27/2023

Bipartite Ranking Fairness through a Model Agnostic Ordering Adjustment

Algorithmic fairness has been a serious concern and received lots of int...

0 Sen Cui, et al. ∙

research

∙ 05/04/2023

Faithful Question Answering with Monte-Carlo Planning

Although large language models demonstrate remarkable question-answering...

0 Ruixin Hong, et al. ∙

research

∙ 03/22/2023

Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility

Many material properties are manifested in the morphological appearance ...

0 Zhilong Liang, et al. ∙

research

∙ 10/22/2022

MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure

In this paper, we propose a comprehensive benchmark to investigate model...

0 Yinya Huang, et al. ∙

research

∙ 06/21/2022

Rethinking Audio-visual Synchronization for Active Speaker Detection

Active speaker detection (ASD) systems are important modules for analyzi...

0 Abudukelimu Wuerkaixi, et al. ∙

research

∙ 05/31/2022

Joint Spatial-Temporal and Appearance Modeling with Transformer for Multiple Object Tracking

The recent trend in multiple object tracking (MOT) is heading towards le...

0 Xin Yu, et al. ∙

research

∙ 05/29/2022

VD-PCR: Improving Visual Dialog with Pronoun Coreference Resolution

The visual dialog task requires an AI agent to interact with humans in m...

0 Xintong Yu, et al. ∙

research

∙ 05/05/2022

METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation

Knowing the reasoning chains from knowledge to the predicted answers can...

0 Ruixin Hong, et al. ∙

research

∙ 03/25/2022

Searching for Network Width with Bilaterally Coupled Network

Searching for a more compact network width recently serves as an effecti...

0 Xiu Su, et al. ∙

research

∙ 03/16/2022

Relational Self-Supervised Learning

Self-supervised Learning (SSL) including the mainstream contrastive lear...

0 Mingkai Zheng, et al. ∙

research

∙ 02/28/2022

A Machine Learning Method for Material Property Prediction: Example Polymer Compatibility

Prediction of material property is a key problem because of its signific...

0 Zhilong Liang, et al. ∙

research

∙ 12/21/2021

A Theoretical View of Linear Backpropagation and Its Convergence

Backpropagation is widely used for calculating gradients in deep neural ...

0 Ziang Li, et al. ∙

research

∙ 12/21/2021

Learned ISTA with Error-based Thresholding for Adaptive Sparse Coding

The learned iterative shrinkage thresholding algorithm (LISTA) introduce...

0 Ziang Li, et al. ∙

research

∙ 11/24/2021

GreedyNASv2: Greedier Search with a Greedy Path Filter

Training a good supernet in one-shot NAS methods is difficult since the ...

0 Tao Huang, et al. ∙

research

∙ 10/21/2021

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Deep convolutional neural networks are shown to be overkill with high pa...

12 Wenzheng Hu, et al. ∙

research

∙ 10/10/2021

Weakly Supervised Contrastive Learning

Unsupervised visual representation learning has gained much attention fr...

0 Mingkai Zheng, et al. ∙

research

∙ 09/13/2021

Correcting the User Feedback-Loop Bias for Recommendation Systems

Selection bias is prevalent in the data for training and evaluating reco...

0 Weishen Pan, et al. ∙

research

∙ 09/10/2021

Exophoric Pronoun Resolution in Dialogues with Topic Regularization

Resolving pronouns to their referents has long been studied as a fundame...

0 Xintong Yu, et al. ∙

research

∙ 08/19/2021

Fair and Consistent Federated Learning

Federated learning (FL) has gain growing interests for its capability of...

0 Sen Cui, et al. ∙

research

∙ 08/18/2021

Learning to Collaborate

In this paper, we focus on effective learning over a collaborative resea...

0 Sen Cui, et al. ∙

research

∙ 07/27/2021

Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

In the classic setting of unsupervised domain adaptation (UDA), the labe...

1 Song Tang, et al. ∙

research

∙ 07/20/2021

ReSSL: Relational Self-Supervised Learning with Weak Augmentation

Self-supervised Learning (SSL) including the mainstream contrastive lear...

0 Mingkai Zheng, et al. ∙

research

∙ 06/25/2021

Vision Transformer Architecture Search

Recently, transformers have shown great superiority in solving computer ...

5 Xiu Su, et al. ∙

research

∙ 06/11/2021

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets

In one-shot weight sharing for NAS, the weights of each operation (at ea...

0 Xiu Su, et al. ∙

research

∙ 05/29/2021

The Definitions of Interpretability and Learning of Interpretable Models

As machine learning algorithms getting adopted in an ever-increasing num...

0 Weishen Pan, et al. ∙

research

∙ 05/21/2021

BCNet: Searching for Network Width with Bilaterally Coupled Network

Searching for a more compact network width recently serves as an effecti...

0 Xiu Su, et al. ∙

research

∙ 03/25/2021

Recent Advances in Large Margin Learning

This paper serves as a survey of recent advances in large margin trainin...

0 Yiwen Guo, et al. ∙

research

∙ 03/22/2021

Prioritized Architecture Sampling with Monto-Carlo Tree Search

One-shot neural architecture search (NAS) methods significantly reduce t...

0 Xiu Su, et al. ∙

research

∙ 03/14/2021

Learning a Proposal Classifier for Multiple Object Tracking

The recent trend in multiple object tracking (MOT) is heading towards le...

0 Xin Yu, et al. ∙

research

∙ 02/10/2021

Locally Free Weight Sharing for Network Width Search

Searching for network width is an effective way to slim deep neural netw...

9 Xiu Su, et al. ∙

research

∙ 02/06/2021

Sill-Net: Feature Augmentation with Separated Illumination Representation

For visual object recognition tasks, the illumination variations can cau...

0 Haipeng Zhang, et al. ∙

research

∙ 11/18/2020

Explicitly Learning Topology for Differentiable Neural Architecture Search

Differentiable neural architecture search (DARTS) has gained much succes...

0 Tao Huang, et al. ∙

research

∙ 11/17/2020

Extreme Value Preserving Networks

Recent evidence shows that convolutional neural networks (CNNs) are bias...

4 Mingjie Sun, et al. ∙

research

∙ 10/28/2020

Data Agnostic Filter Gating for Efficient Deep Networks

To deploy a well-trained CNN model on low-end computation edge devices, ...

0 Xiu Su, et al. ∙

research

∙ 10/26/2020

Learning Fast Approximations of Sparse Nonlinear Regression

The idea of unfolding iterative algorithms as deep neural networks has b...

0 Yuhai Song, et al. ∙

research

∙ 10/12/2020

Robust Finite Mixture Regression for Heterogeneous Targets

Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...

7 Jian Liang, et al. ∙

research

∙ 09/06/2020

Learning from Very Few Samples: A Survey

Few sample learning (FSL) is significant and challenging in the field of...

43 Jiang Lu, et al. ∙

research

∙ 07/04/2020

On Connections between Regularizations for Improving DNN Robustness

This paper analyzes regularization terms proposed recently for improving...

1 Yiwen Guo, et al. ∙

research

∙ 06/24/2020

Road Network Metric Learning for Estimated Time of Arrival

Recently, deep learning have achieved promising results in Estimated Tim...

0 Yiwen Sun, et al. ∙

research

∙ 06/15/2020

xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility

Algorithmic fairness has received lots of interests in machine learning ...

0 Sen Cui, et al. ∙

research

∙ 06/07/2020

FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention

Estimated time of arrival (ETA) is one of the most important services in...

0 Yiwen Sun, et al. ∙

research

∙ 06/07/2020

Fusion Recurrent Neural Network

Considering deep sequence learning for practical application, two repres...

0 Yiwen Sun, et al. ∙

research

∙ 04/23/2020

Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting

Traffic forecasting influences various intelligent transportation system...

0 Yiwen Sun, et al. ∙

research

∙ 04/10/2020

Boosting Semantic Human Matting with Coarse Annotations

Semantic human matting aims to estimate the per-pixel opacity of the for...

8 Jinlin Liu, et al. ∙

research

∙ 03/25/2020

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Training a supernet matters for one-shot neural architecture search (NAS...

6 Shan You, et al. ∙

research

∙ 02/08/2020

RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning

This paper presents a deep reinforcement learning algorithm for online a...

0 Nan Jiang, et al. ∙

research

∙ 11/14/2019

Adversarial Margin Maximization Networks

The tremendous recent success of deep neural networks (DNNs) has sparked...

0 Ziang Yan, et al. ∙

research

∙ 09/01/2019

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

Grounding a pronoun to a visual object it refers to requires complex rea...

0 Xintong Yu, et al. ∙

research

∙ 06/11/2019

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

Unlike the white-box counterparts that are widely studied and readily ac...

0 Ziang Yan, et al. ∙

Changshui Zhang

Featured Co-authors