b'Pan Zhou'

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning

For an image query, unsupervised contrastive learning labels crops of th...
06/28/2021 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Prototypical Graph Contrastive Learning

Graph-level representations are critical in various real-world applicati...
06/17/2021 ∙ by Shuai Lin, et al. ∙ 5 ∙ share

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Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction

The consistency of a response to a given post at semantic-level and emot...
06/06/2021 ∙ by Wei Wei, et al. ∙ 0 ∙ share

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Exploiting Global Contextual Information for Document-level Named Entity Recognition

Most existing named entity recognition (NER) approaches are based on seq...
06/02/2021 ∙ by Zanbo Wang, et al. ∙ 0 ∙ share

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RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things

Though deep neural network models exhibit outstanding performance for va...
05/09/2021 ∙ by Huming Qiu, et al. ∙ 5 ∙ share

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Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

Crowd counting has drawn much attention due to its importance in safety-...
04/22/2021 ∙ by Qiming Wu, et al. ∙ 0 ∙ share

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Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR

Neural architecture search (NAS) has been successfully applied to tasks ...
04/07/2021 ∙ by Xian Shi, et al. ∙ 0 ∙ share

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Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

This paper addresses the problem of temporal sentence grounding (TSG), w...
03/22/2021 ∙ by Daizong Liu, et al. ∙ 0 ∙ share

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DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing

Deep learning techniques have achieved remarkable performance in wide-ra...
03/02/2021 ∙ by Wenxiao Wang, et al. ∙ 0 ∙ share

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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

Human doctors with well-structured medical knowledge can diagnose a dise...
12/22/2020 ∙ by Shuai Lin, et al. ∙ 0 ∙ share

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Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Low-resource automatic speech recognition (ASR) is challenging, as the l...
12/22/2020 ∙ by Yubei Xiao, et al. ∙ 0 ∙ share

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F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation

Although deep learning based methods have achieved great progress in uns...
12/04/2020 ∙ by Daizong Liu, et al. ∙ 0 ∙ share

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V3H: View Variation and View Heredity for Incomplete Multi-view Clustering

Real data often appear in the form of multiple incomplete views. Incompl...
11/23/2020 ∙ by Xiang Fang, et al. ∙ 0 ∙ share

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User-based Network Embedding for Collective Opinion Spammer Detection

Due to the huge commercial interests behind online reviews, a tremendous...
11/16/2020 ∙ by Ziyang Wang, et al. ∙ 0 ∙ share

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Target Guided Emotion Aware Chat Machine

The consistency of a response to a given post at semantic-level and emot...
11/15/2020 ∙ by Wei Wei, et al. ∙ 0 ∙ share

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Video-based Facial Expression Recognition using Graph Convolutional Networks

Facial expression recognition (FER), aiming to classify the expression p...
10/26/2020 ∙ by Daizong Liu, et al. ∙ 15 ∙ share

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Iterative Graph Self-Distillation

How to discriminatively vectorize graphs is a fundamental challenge that...
10/23/2020 ∙ by Hanlin Zhang, et al. ∙ 2 ∙ share

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How Important is the Train-Validation Split in Meta-Learning?

Meta-learning aims to perform fast adaptation on a new task through lear...
10/12/2020 ∙ by Yu Bai, et al. ∙ 10 ∙ share

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Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

It is not clear yet why ADAM-alike adaptive gradient algorithms suffer f...
10/12/2020 ∙ by Pan Zhou, et al. ∙ 46 ∙ share

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Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization

Stochastic variance-reduced gradient (SVRG) algorithms have been shown t...
09/18/2020 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Communication-efficient Decentralized Machine Learning over Heterogeneous Networks

In the last few years, distributed machine learning has been usually exe...
09/12/2020 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Evasion Attacks to Graph Neural Networks via Influence Function

Graph neural networks (GNNs) have achieved state-of-the-art performance ...
09/01/2020 ∙ by Binghui Wang, et al. ∙ 0 ∙ share

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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Link prediction in dynamic graphs (LPDG) is an important research proble...
09/01/2020 ∙ by Houxiang Fan, et al. ∙ 4 ∙ share

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Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds

With the development of deep learning technologies, attribute recognitio...
08/12/2020 ∙ by Zichuan Xu, et al. ∙ 0 ∙ share

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Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos

Temporal language localization in videos aims to ground one video segmen...
08/06/2020 ∙ by Xiaoye Qu, et al. ∙ 0 ∙ share

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Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

Query-based moment localization is a new task that localizes the best ma...
08/04/2020 ∙ by Daizong Liu, et al. ∙ 0 ∙ share

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Theory-Inspired Path-Regularized Differential Network Architecture Search

Despite its high search efficiency, differential architecture search (DA...
06/30/2020 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Federated Mutual Learning

Federated learning enables collaboratively training machine learning mod...
06/27/2020 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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Learning Decomposed Representation for Counterfactual Inference

One fundamental problem in the learning treatment effect from observatio...
06/12/2020 ∙ by Anpeng Wu, et al. ∙ 0 ∙ share

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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Despite success on a wide range of problems related to vision, generativ...
06/12/2020 ∙ by Yue Wu, et al. ∙ 15 ∙ share

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Prototypical Contrastive Learning of Unsupervised Representations

This paper presents Prototypical Contrastive Learning (PCL), an unsuperv...
05/11/2020 ∙ by Junnan Li, et al. ∙ 10 ∙ share

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Cocktail: Cost-efficient and Data Skew-aware Online In-Network Distributed Machine Learning for Intelligent 5G and Beyond

To facilitate the emerging applications in the 5G networks and beyond, m...
04/02/2020 ∙ by Lingjun Pu, et al. ∙ 0 ∙ share

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Crowd Counting via Hierarchical Scale Recalibration Network

The task of crowd counting is extremely challenging due to complicated d...
03/07/2020 ∙ by Zhikang Zou, et al. ∙ 0 ∙ share

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Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels

Disease diagnosis on chest X-ray images is a challenging multi-label cla...
02/26/2020 ∙ by Daizong Liu, et al. ∙ 0 ∙ share

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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach

Peer-to-peer knowledge transfer in distributed environments has emerged ...
02/06/2020 ∙ by Zeyue Xue, et al. ∙ 0 ∙ share

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Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases

Federated Learning (FL) is viewed as a promising technique for future di...
02/03/2020 ∙ by Huawei Huang, et al. ∙ 0 ∙ share

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Improving Generalization of Transformer for Speech Recognition with Parallel Schedule Sampling and Relative Positional Embedding

Transformer showed promising results in many sequence to sequence transf...
11/01/2019 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee

In this paper, we investigate a novel problem of telling the difference ...
10/14/2019 ∙ by Shuangjie Xu, et al. ∙ 0 ∙ share

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Enhancing Neural Sequence Labeling with Position-Aware Self-Attention

Sequence labeling is a fundamental task in natural language processing a...
08/24/2019 ∙ by Wei Wei, et al. ∙ 0 ∙ share

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Enhanced 3D convolutional networks for crowd counting

Recently, convolutional neural networks (CNNs) are the leading defacto m...
08/12/2019 ∙ by Zhikang Zou, et al. ∙ 0 ∙ share

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Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs

Crowd counting is a challenging task due to the large variations in crow...
08/07/2019 ∙ by Zhikang Zou, et al. ∙ 4 ∙ share

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Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms

This work studies the Tensor Robust Principal Component Analysis (TRPCA)...
07/16/2019 ∙ by Canyi Lu, et al. ∙ 2 ∙ share

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EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

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MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation

We address the problem of semi-supervised video object segmentation (VOS...
04/17/2019 ∙ by Shuangjie Xu, et al. ∙ 0 ∙ share

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A Stochastic Trust Region Method for Non-convex Minimization

We target the problem of finding a local minimum in non-convex finite-su...
03/04/2019 ∙ by Zebang Shen, et al. ∙ 0 ∙ share

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Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training

Distributed asynchronous offline training has received widespread attent...
02/21/2019 ∙ by Chengjie Li, et al. ∙ 0 ∙ share

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De-Health: All Your Online Health Information Are Belong to Us

In this paper, we study the privacy of online health data. We present a ...
02/02/2019 ∙ by Shouling Ji, et al. ∙ 0 ∙ share

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FDI: Quantifying Feature-based Data Inferability

Motivated by many existing security and privacy applications, e.g., netw...
02/02/2019 ∙ by Shouling Ji, et al. ∙ 0 ∙ share

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Bayesian CycleGAN via Marginalizing Latent Sampling

Recent techniques built on Generative Adversarial Networks (GANs) like C...
11/19/2018 ∙ by Haoran You, et al. ∙ 0 ∙ share

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Modality Attention for End-to-End Audio-visual Speech Recognition

Audio-visual speech recognition (AVSR) system is thought to be one of th...
11/13/2018 ∙ by Pan Zhou, et al. ∙ 0 ∙ share

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Pan Zhou

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