
MultiSports: A MultiPerson Video Dataset of SpatioTemporally Localized Sports Actions
Spatiotemporal action detection is an important and challenging problem...
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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
As users often express their preferences with binary behavior data (impl...
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Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Humans accumulate knowledge in a lifelong fashion. Modern deep neural ne...
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Adaptive Appearance Rendering
We propose an approach to generate images of people given a desired appe...
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Efficient Relationaware Scoring Function Search for Knowledge Graph Embedding
The scoring function, which measures the plausibility of triplets in kno...
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Searching to Sparsify Tensor Decomposition for Nary Relational Data
Tensor, an extension of the vector and matrix to the multidimensional c...
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ZYELLNCTU NetTraffic1.0: A LargeScale Dataset for RealWorld Network Anomaly Detection
Network security has been an active research topic for long. One critica...
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Learning Fair Representations for Bipartite Graph based Recommendation
As a key application of artificial intelligence, recommender systems are...
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Quantitative Evaluations on Saliency Methods: An Experimental Study
It has been long debated that eXplainable AI (XAI) is an important topic...
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yNet: a multiinput convolutional network for ultrafast simulation of field evolvement
The capability of multiinput fieldtofield regression, i.e. mapping th...
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Scalable Federated Learning over Passive Optical Networks
Twostep aggregation is introduced to facilitate scalable federated lear...
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On Graph Neural Networks versus GraphAugmented MLPs
From the perspective of expressive power, this work compares multilayer...
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Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
Negative sampling, which samples negative triplets from nonobserved one...
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UniNet: Scalable Network Representation Learning with MetropolisHastings Sampling
Network representation learning (NRL) technique has been successfully ad...
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Improving Sequential Latent Variable Models with Autoregressive Flows
We propose an approach for improving sequence modeling based on autoregr...
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SemiAnchored Detector for OneStage Object Detection
A standard onestage detector is comprised of two tasks: classification ...
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SPLMLL: Selecting Predictable Landmarks for MultiLabel Learning
Although significant progress achieved, multilabel classification is st...
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Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
With the increasing availability of videos, how to edit them and present...
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NioseSampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
Recent endtoend deep neural networks for disparity regression have ach...
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MultiView SelfAttention for Interpretable DrugTarget Interaction Prediction
The drug discovery stage is a vital part of the drug development process...
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STAS: Adaptive Selecting SpatioTemporal Deep Features for Improving Bias Correction on Precipitation
Numerical Weather Prediction (NWP) can reduce human suffering by predict...
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UNet Using Stacked Dilated Convolutions for Medical Image Segmentation
This paper proposes a novel UNet variant using stacked dilated convolut...
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Consistent and Complementary Graph Regularized Multiview Subspace Clustering
This study investigates the problem of multiview clustering, where mult...
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CoinMagic: A Differential Privacy Framework for Ring Signature Schemes
By allowing users to obscure their transactions via including "mixins" (...
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Globally optimal consensus maximization for robust visual inertial localization in point and line map
Map based visual inertial localization is a crucial step to reduce the d...
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Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
This work proposes a novel approach for multiple time series forecasting...
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Can graph neural networks count substructures?
The ability to detect and count certain substructures in graphs is impor...
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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Graph Convolutional Networks (GCNs) are stateoftheart graph based rep...
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Adapting GradCAM for Embedding Networks
The gradientweighted class activation mapping (GradCAM) method can fai...
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Neural Recurrent Structure Search for Knowledge Graph Embedding
Knowledge graph (KG) embedding is a fundamental problem in mining relati...
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SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Intrinsic graph convolution operators with differentiable kernel functio...
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Bandwidth Slicing to Boost Federated Learning in Edge Computing
Bandwidth slicing is introduced to support federated learning in edge co...
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Towards a Precipitation Bias Corrector against Noise and Maldistribution
With broad applications in various public services like aviation managem...
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Cryptanalyzing a Medical Privacy Protection Scheme based on DNA Coding and Chaos
Recently, a medical privacy protection scheme (MPPS) based on DNA encodi...
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DR Loss: Improving Object Detection by Distributional Ranking
Most of object detection algorithms can be categorized into two classes:...
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Lifelong GAN: Continual Learning for Conditional Image Generation
Lifelong learning is challenging for deep neural networks due to their s...
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Video Prediction for Precipitation Nowcasting
Video prediction, which aims to synthesize new consecutive frames subseq...
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On the equivalence between graph isomorphism testing and function approximation with GNNs
Graph neural networks (GNNs) have achieved lots of success on graphstru...
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Legal Concerns and Challenges in Cloud Computing
Legal issues have risen with the changing landscape of computing, especi...
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AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding
Knowledge graph embedding (KGE) aims to find low dimensional vector repr...
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Universal chosenciphertext attack for a family of image encryption schemes
During the past decades, there is a great popularity employing nonlinear...
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Qualityaware Unpaired ImagetoImage Translation
Generative Adversarial Networks (GANs) have been widely used for the ima...
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2Entity RANSAC for robust visual localization in changing environment
Visual localization has attracted considerable attention due to its low...
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Online Social Media Recommendation over Streams
As one of the most popular services over online communities, the social ...
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NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Knowledge Graph (KG) embedding is a fundamental problem in data mining r...
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Local Distribution in Neighborhood for Classification
The knearestneighbor method performs classification tasks for a query ...
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Structured Turbo Compressed Sensing for Downlink Massive MIMOOFDM Channel Estimation
Compressed sensing has been employed to reduce the pilot overhead for ch...
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Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning
Recent studies have shown promising results in using Deep Learning to de...
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Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations
We explore how Deep Learning (DL) can be utilized to predict prognosis o...
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DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs
Subgraph listing is a fundamental problem in graph theory and has wide a...
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Lei Chen
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Professor, Department of Computer Science and Engineering at Hong Kong University of Science and Technology