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07/21/2023
Longitudinal Data Clustering with a Copula Kernel Mixture Model
Many common clustering methods cannot be used for clustering multivariat...
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06/03/2023
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection
Rumor spreaders are increasingly utilizing multimedia content to attract...
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02/14/2023
HR-NeuS: Recovering High-Frequency Surface Geometry via Neural Implicit Surfaces
Recent advances in neural implicit surfaces for multi-view 3D reconstruc...
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02/13/2023
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion
Ultra high resolution (UHR) images are almost always downsampled to fit ...
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02/10/2023
Balancing Approach for Causal Inference at Scale
With the modern software and online platforms to collect massive amount ...
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12/28/2022
Robust Ranking Explanations
Gradient-based explanation is the cornerstone of explainable deep networ...
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12/09/2022
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection
LiDAR and camera are two essential sensors for 3D object detection in au...
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09/06/2022
Unsupervised Scene Sketch to Photo Synthesis
Sketches make an intuitive and powerful visual expression as they are fa...
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04/24/2022
Heterogeneous Information Network based Default Analysis on Banking Micro and Small Enterprise Users
Risk assessment is a substantial problem for financial institutions that...
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04/24/2022
Subgroup Fairness in Graph-based Spam Detection
Fake reviews are prevalent on review websites such as Amazon and Yelp. G...
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04/11/2022
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
We present a structured graph variational autoencoder for generating the...
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11/29/2021
Multi-objective Explanations of GNN Predictions
Graph Neural Network (GNN) has achieved state-of-the-art performance in ...
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11/19/2021
Explaining GNN over Evolving Graphs using Information Flow
Graphs are ubiquitous in many applications, such as social networks, kno...
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10/12/2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
We introduce Amazon-Berkeley Objects (ABO), a new large-scale dataset of...
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10/01/2021
RoomStructNet: Learning to Rank Non-Cuboidal Room Layouts From Single View
In this paper, we present a new approach to estimate the layout of a roo...
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09/15/2021
Self-learn to Explain Siamese Networks Robustly
Learning to compare two objects are essential in applications, such as d...
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05/23/2021
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences
Learning Granger causality among event types on multi-type event sequenc...
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05/07/2021
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Alarm root cause analysis is a significant component in the day-to-day t...
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03/29/2021
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton
We propose a deep learning system for attention-guided dual-layer image ...
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10/29/2020
CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments
In many industry settings, online controlled experimentation (A/B test) ...
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08/02/2020
Deep Multi-modality Soft-decoding of Very Low Bit-rate Face Videos
We propose a novel deep multi-modality neural network for restoring very...
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06/27/2020
Local Causal Structure Learning and its Discovery Between Type 2 Diabetes and Bone Mineral Density
Type 2 diabetes (T2DM), one of the most prevalent chronic diseases, affe...
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04/21/2020
Rigorous Explanation of Inference on Probabilistic Graphical Models
Probabilistic graphical models, such as Markov random fields (MRF), expl...
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02/10/2020
Ultra High Fidelity Image Compression with ℓ_∞-constrained Encoding and Deep Decoding
In many professional fields, such as medicine, remote sensing and scienc...
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02/07/2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Personal mobile sensing is fast permeating our daily lives to enable act...
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11/26/2019
Finding Route Hotspots in Large Labeled Networks
In many advanced network analysis applications, like social networks, e-...
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08/13/2019
Scalable Explanation of Inferences on Large Graphs
Probabilistic inferences distill knowledge from graphs to aid human make...
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05/31/2019
When Full Duplex Wireless Meets Non-Orthogonal Multiple Access: Opportunities and Challenges
Non-orthogonal multiple access (NOMA) is a promising radio access techno...
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11/15/2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Combining deep neural networks with reinforcement learning has shown gre...
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10/30/2018
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding
Deep convolutional neural networks (DCNN) have enjoyed great successes i...
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09/17/2018
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network
With the arrival of the big data era, more and more data are becoming re...
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09/02/2018
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data
Traditional stock market prediction methods commonly only utilize the hi...
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06/26/2018
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
This paper presents details of our winning solutions to the task IV of N...
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06/08/2018
Generating Image Sequence from Description with LSTM Conditional GAN
Generating images from word descriptions is a challenging task. Generati...
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05/28/2018
The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques
With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, ...
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05/28/2018
The Coming Era of AlphaHacking?
With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, ...
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05/28/2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Precise segmentation of bladder walls and tumor regions is an essential ...
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05/22/2018
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative ...
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05/21/2018
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction
The investment on the stock market is prone to be affected by the Intern...
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05/09/2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask
Using a layered representation for motion estimation has the advantage o...
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02/09/2018
Two Is Harder To Recognize Than Tom: the Challenge of Visual Numerosity for Deep Learning
In the spirit of Turing test, we design and conduct a set of visual nume...
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01/18/2018
Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network
Recently a number of CNN-based techniques were proposed to remove image ...
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01/02/2018
Exploiting Investors Social Network for Stock Prediction in China's Market
Recent works have shown that social media platforms are able to influenc...
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12/02/2017
Lecture video indexing using boosted margin maximizing neural networks
This paper presents a novel approach for lecture video indexing using a ...
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11/26/2017
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
As the rapid growth of multi-modal data, hashing methods for cross-modal...
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11/15/2017
Aicyber's System for NLPCC 2017 Shared Task 2: Voting of Baselines
This paper presents Aicyber's system for NLPCC 2017 shared task 2. It is...
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12/11/2016
Automated Inference on Sociopsychological Impressions of Attractive Female Faces
This article is a sequel to our earlier work [25]. The main objective of...
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11/13/2016
Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)
In November 2016 we submitted to arXiv our paper "Automated Inference on...
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03/03/2016
Modular Decomposition and Analysis of Registration based Trackers
This paper presents a new way to study registration based trackers by de...
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09/17/2015
