b'Fan Yang'

research

∙ 07/05/2022

ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification

Whole slide image (WSI) classification often relies on deep weakly super...

Jiawei Yang, et al. ∙

research

∙ 06/30/2022

Transmissive RIS for 6G Communications: Design, Prototyping, and Experimental Demonstrations

Reconfigurable intelligent surface (RIS) has been widely considered as a...

Junwen Tang, et al. ∙

research

∙ 06/17/2022

Improving Generalization of Metric Learning via Listwise Self-distillation

Most deep metric learning (DML) methods employ a strategy that forces al...

Zelong Zeng, et al. ∙

research

∙ 06/17/2022

Accelerating Shapley Explanation via Contributive Cooperator Selection

Even though Shapley value provides an effective explanation for a DNN mo...

Guanchu Wang, et al. ∙

research

∙ 05/22/2022

Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval

The large variation of viewpoint and irrelevant content around the targe...

Zelong Zeng, et al. ∙

research

∙ 05/20/2022

NMA: Neural Multi-slot Auctions with Externalities for Online Advertising

Online advertising driven by auctions brings billions of dollars in reve...

Guogang Liao, et al. ∙

research

∙ 05/13/2022

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example

Though widely used in industry, traditional task-oriented dialogue syste...

Xiangyu Xi, et al. ∙

research

∙ 05/10/2022

Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective

Federated learning (FL) can train a global model from clients' local dat...

Yun Ji, et al. ∙

research

∙ 05/04/2022

Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model

The abundance of data affords researchers to pursue more powerful comput...

Yan Shen, et al. ∙

research

∙ 04/21/2022

A Multi-Person Video Dataset Annotation Method of Spatio-Temporally Actions

Spatio-temporal action detection is an important and challenging problem...

Fan Yang, et al. ∙

research

∙ 04/01/2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Vector quantization (VQ) based ANN indexes, such as Inverted File System...

Shitao Xiao, et al. ∙

research

∙ 03/28/2022

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

In this paper, we present a second order spatial compatibility (SC^2) me...

Zhi Chen, et al. ∙

research

∙ 03/17/2022

Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss

Data-driven methods have achieved notable performance on intent detectio...

Yantao Gong, et al. ∙

research

∙ 03/14/2022

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

Self-supervised learning (SSL) holds promise in leveraging large amounts...

Zhaowen Li, et al. ∙

research

∙ 03/11/2022

Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification

Adversarial attacks are often considered as threats to the robustness of...

Jianzhang Zheng, et al. ∙

research

∙ 03/04/2022

Class-Aware Contrastive Semi-Supervised Learning

Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...

Fan Yang, et al. ∙

research

∙ 02/14/2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

Quantization of deep neural networks (DNN) has been proven effective for...

Cong Guo, et al. ∙

research

∙ 02/08/2022

Learning Optical Flow with Adaptive Graph Reasoning

Estimating per-pixel motion between video frames, known as optical flow,...

Ao Luo, et al. ∙

research

∙ 02/07/2022

A comprehensive benchmark analysis for sand dust image reconstruction

Numerous sand dust image enhancement algorithms have been proposed in re...

Yazhong Si, et al. ∙

research

∙ 01/24/2022

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

Emotion recognition in smart eyewear devices is highly valuable but chal...

Yingying Zhao, et al. ∙

research

∙ 12/28/2021

DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration

Point cloud registration is a fundamental step for many tasks. In this p...

Zhi Chen, et al. ∙

research

∙ 12/18/2021

Neural Born Iteration Method For Solving Inverse Scattering Problems: 2D Cases

In this paper, we propose the neural Born iteration method (NeuralBIM) f...

Tao Shan, et al. ∙

research

∙ 12/17/2021

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation

This work presents a simple vision transformer design as a strong baseli...

Wuyang Chen, et al. ∙

research

∙ 11/24/2021

NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion

This paper presents a unified multimodal pre-trained model called NÜWA t...

Chenfei Wu, et al. ∙

research

∙ 11/18/2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Artificial intelligence (AI) provides a promising substitution for strea...

Xiang Bai, et al. ∙

research

∙ 11/14/2021

Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture

Automatically understanding and recognising human affective states using...

Jimiama M. Mase, et al. ∙

research

∙ 11/08/2021

Defense Against Explanation Manipulation

Explainable machine learning attracts increasing attention as it improve...

Ruixiang Tang, et al. ∙

research

∙ 10/27/2021

Autonomous Exploration Development Environment and the Planning Algorithms

Autonomous Exploration Development Environment is an open-source reposit...

Chao Cao, et al. ∙

research

∙ 10/21/2021

Real-Time Ground-Plane Refined LiDAR SLAM

SLAM system using only point cloud has been proven successful in recent ...

Fan Yang, et al. ∙

research

∙ 10/18/2021

FAR Planner: Fast, Attemptable Route Planner using Dynamic Visibility Update

We present our work on a fast route planner based on visibility graph. T...

Fan Yang, et al. ∙

research

∙ 09/19/2021

LODE: Deep Local Deblurring and A New Benchmark

While recent deep deblurring algorithms have achieved remarkable progres...

Zerun Wang, et al. ∙

research

∙ 09/09/2021

Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss

Employing large-scale pre-trained model CLIP to conduct video-text retri...

Xing Cheng, et al. ∙

research

∙ 09/01/2021

LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces

A large body of literature has proved that the Bayesian optimization fra...

Shuhan Zhang, et al. ∙

research

∙ 08/30/2021

Adaptive Label Smoothing To Regularize Large-Scale Graph Training

Graph neural networks (GNNs), which learn the node representations by re...

Kaixiong Zhou, et al. ∙

research

∙ 08/30/2021

Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions

Visual recognition is currently one of the most important and active res...

Yang Wu, et al. ∙

research

∙ 08/24/2021

Density-Based Dynamic Curriculum Learning for Intent Detection

Pre-trained language models have achieved noticeable performance on the ...

Yantao Gong, et al. ∙

research

∙ 07/23/2021

Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis

In causal mediation studies that decompose an average treatment effect i...

Guanglei Hong, et al. ∙

research

∙ 07/16/2021

On the discrete-time simulation of the rough Heston model

We study Euler-type discrete-time schemes for the rough Heston model, wh...

Alexandre Richard, et al. ∙

research

∙ 06/28/2021

An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble

Bayesian optimization is a promising methodology for analog circuit synt...

Shuhan Zhang, et al. ∙

research

∙ 06/16/2021

Model-Based Counterfactual Synthesizer for Interpretation

Counterfactuals, serving as one of the emerging type of model interpreta...

Fan Yang, et al. ∙

research

∙ 06/11/2021

From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding

Semantic parsing is challenging due to the structure gap and the semanti...

Shan Wu, et al. ∙

research

∙ 06/11/2021

MlTr: Multi-label Classification with Transformer

The task of multi-label image classification is to recognize all the obj...

Xing Cheng, et al. ∙

research

∙ 06/10/2021

CAT: Cross Attention in Vision Transformer

Since Transformer has found widespread use in NLP, the potential of Tran...

Hezheng Lin, et al. ∙

research

∙ 06/10/2021

MST: Masked Self-Supervised Transformer for Visual Representation

Transformer has been widely used for self-supervised pre-training in Nat...

Zhaowen Li, et al. ∙

research

∙ 06/07/2021

Launchpad: A Programming Model for Distributed Machine Learning Research

A major driver behind the success of modern machine learning algorithms ...

Fan Yang, et al. ∙

research

∙ 06/07/2021

Calibrating multi-dimensional complex ODE from noisy data via deep neural networks

Ordinary differential equations (ODEs) are widely used to model complex ...

Kexuan Li, et al. ∙

research

∙ 05/24/2021

Towards Compact CNNs via Collaborative Compression

Channel pruning and tensor decomposition have received extensive attenti...

Yuchao Li, et al. ∙

research

∙ 05/18/2021

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale

AI engineering has emerged as a crucial discipline to democratize deep n...

Yuanming Li, et al. ∙

research

∙ 05/12/2021

CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes

Garment transfer shows great potential in realistic applications with th...

Fan Yang, et al. ∙

research

∙ 04/30/2021

GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Generating videos from text is a challenging task due to its high comput...

Chenfei Wu, et al. ∙

Fan Yang

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