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Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
In recent years, the emerging topics of recommender systems that take ad...
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SAT vs CSP: a commentary
In 2000, I published a relatively comprehensive study of mappings betwee...
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A Commentary on "Breaking Row and Column Symmetries in Matrix Models"
The CP 2002 paper entitled "Breaking Row and Column Symmetries in Matrix...
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CDSM – Casual Inference using Deep Bayesian Dynamic Survival Models
A smart healthcare system that supports clinicians for risk-calibrated t...
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Collective Embedding-based Entity Alignment via Adaptive Features
Entity alignment (EA) identifies entities that refer to the same real-wo...
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Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
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Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data
Introduction: For COVID-19 patients accurate prediction of disease sever...
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Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus
The transparent cornea is the window of the eye, facilitating the entry ...
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Binarized Graph Neural Network
Recently, there have been some breakthroughs in graph analysis by applyi...
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HaarPooling: Graph Pooling with Compressive Haar Basis
Deep Graph Neural Networks (GNNs) are instrumental in graph classificati...
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Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality
Augmented reality (AR) or mixed reality (MR) platforms require spatial u...
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Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives
We consider the facility location problem in the one-dimensional setting...
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Degree-Aware Alignment for Entities in Tail
Entity alignment (EA) is to discover equivalent entities in knowledge gr...
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Strategy Proof Mechanisms for Facility Location in Euclidean and Manhattan Space
We study the impact on mechanisms for facility location of moving from o...
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Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Interactive recommendation aims to learn from dynamic interactions betwe...
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Fair Division: The Computer Scientist's Perspective
I survey recent progress on a classic and challenging problem in social ...
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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Modeling complex spatial and temporal correlations in the correlated tim...
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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
A variety of machine learning applications expect to achieve rapid learn...
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The Ambiguous World of Emotion Representation
Artificial intelligence and machine learning systems have demonstrated h...
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A Pebble in the AI Race
Bhutan is sometimes described as pebble between two boulders", a small ...
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Dynamic prediction of time to event with survival curves
With the ever-growing complexity of primary health care system, proactiv...
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Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning
Digital Rock Imaging is constrained by detector hardware, and a trade-of...
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Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly...
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ML-LBM: Machine Learning Aided Flow Simulation in Porous Media
Simulation of fluid flow in porous media has many applications, from the...
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Strategy Proof Mechanisms for Facility Location at Limited Locations
Facility location problems often permit facilities to be located at any ...
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Strategy Proof Mechanisms for Facility Location with Capacity Limits
An important feature of many real world facility location problems are c...
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CosmoVAE: Variational Autoencoder for CMB Image Inpainting
Cosmic microwave background radiation (CMB) is critical to the understan...
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Real-time 3D object proposal generation and classification under limited processing resources
The task of detecting 3D objects is important to various robotic applica...
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ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis
Micro-expressions can reflect peoples true feelings and motives, which a...
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Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images
Segmentation of 3D micro-Computed Tomographic uCT) images of rock sample...
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Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition
Multimodal features play a key role in wearable sensor based Human Activ...
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Deceased Organ Matching in Australia
Despite efforts to increase the supply of organs from living donors, mos...
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Achieving Proportional Representation via Voting
Proportional representation (PR) is often discussed in voting settings a...
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An Epistemic Foundation for Authentication Logics (Extended Abstract)
While there have been many attempts, going back to BAN logic, to base re...
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B-CNN: Branch Convolutional Neural Network for Hierarchical Classification
Convolutional Neural Network (CNN) image classifiers are traditionally d...
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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
An electroencephalography (EEG) based brain activity recognition is a fu...
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Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
An electroencephalography (EEG) based Brain Computer Interface (BCI) ena...
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Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition
Fine-grained visual recognition typically depends on modeling subtle dif...
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Multi-View Spectral Clustering via Structured Low-Rank Matrix Factorization
Multi-view data clustering attracts more attention than their single vie...
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A Reasoning System for a First-Order Logic of Limited Belief
Logics of limited belief aim at enabling computationally feasible reason...
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Finding Modes by Probabilistic Hypergraphs Shifting
In this paper, we develop a novel paradigm, namely hypergraph shift, to ...
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Beyond Low-Rank Representations: Orthogonal Clustering Basis Reconstruction with Optimized Graph Structure for Multi-view Spectral Clustering
Low-Rank Representation (LRR) is arguably one of the most powerful parad...
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Sparse, guided feature connections in an Abstract Deep Network
We present a technique for developing a network of re-used features, whe...
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Computational Complexity of Testing Proportional Justified Representation
We consider a committee voting setting in which each voter approves of a...
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Enhanced Estimation of Autoregressive Wind Power Prediction Model Using Constriction Factor Particle Swarm Optimization
Accurate forecasting is important for cost-effective and efficient monit...
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Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Person re-identification (re-id) aims to match pedestrians observed by d...
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Semi-parametric Network Structure Discovery Models
We propose a network structure discovery model for continuous observatio...
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Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data
Nowadays large amounts of GPS trajectory data is being continuously coll...
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Backdoors into Heterogeneous Classes of SAT and CSP
In this paper we extend the classical notion of strong and weak backdoor...
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Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
Multi-view spectral clustering, which aims at yielding an agreement or c...
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