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06/28/2023
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Representation learning has been evolving from traditional supervised tr...
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06/25/2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer
Sequential recommendation requires understanding the dynamic patterns of...
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06/07/2023
ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis
Domain generalization is critical for real-world applications of machine...
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05/23/2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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05/15/2023
Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation
In our digital universe nowadays, enormous amount of data are produced i...
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05/09/2023
Learning to Personalize Recommendation based on Customers' Shopping Intents
Understanding the customers' high level shopping intent, such as their d...
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04/17/2023
Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism
Multimodal magnetic resonance imaging (MRI) can reveal different pattern...
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04/10/2023
Differentially Private Numerical Vector Analyses in the Local and Shuffle Model
Numerical vector aggregation plays a crucial role in privacy-sensitive a...
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02/18/2023
Differential Aggregation against General Colluding Attackers
Local Differential Privacy (LDP) is now widely adopted in large-scale sy...
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12/23/2022
Detecting Exploit Primitives Automatically for Heap Vulnerabilities on Binary Programs
Automated Exploit Generation (AEG) is a well-known difficult task, espec...
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11/14/2022
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Histopathology images are gigapixel-sized and include features and infor...
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07/27/2022
Fine-grained Private Knowledge Distillation
Knowledge distillation has emerged as a scalable and effective way for p...
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07/04/2022
CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer
Customized keyword spotting (KWS) has great potential to be deployed on ...
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06/30/2022
Multiple Targets Directed Greybox Fuzzing
Directed greybox fuzzing (DGF) can quickly discover or reproduce bugs in...
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06/20/2022
Adaptive Domain Interest Network for Multi-domain Recommendation
Industrial recommender systems usually hold data from multiple business ...
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04/05/2022
An efficient real-time target tracking algorithm using adaptive feature fusion
Visual-based target tracking is easily influenced by multiple factors, s...
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04/04/2022
Coarse-to-Fine Sparse Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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03/18/2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
This paper studies the item-to-item recommendation problem in recommende...
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03/14/2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clin...
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03/11/2022
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
A critical step in virtual dental treatment planning is to accurately de...
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02/21/2022
PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling
Geometrical structures and the internal local region relationship, such ...
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02/05/2022
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network
With the continuous extension of the Industrial Internet, cyber incident...
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01/29/2022
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
We introduce ApolloRL, an open platform for research in reinforcement le...
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12/22/2021
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
The recent availability of electronic health records (EHRs) have provide...
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12/08/2021
Neural Points: Point Cloud Representation with Neural Fields
In this paper, we propose Neural Points, a novel point cloud representat...
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10/21/2021
Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information
End-to-end learning robotic manipulation with high data efficiency is on...
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09/03/2021
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
General Continual Learning (GCL) aims at learning from non independent a...
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08/31/2021
GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries
In this paper, we develop a novel method for fast geodesic distance quer...
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08/28/2021
Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making
In this paper, we study endogeneity problems in algorithmic decision-mak...
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07/09/2021
Wavelet Transform-assisted Adaptive Generative Modeling for Colorization
Unsupervised deep learning has recently demonstrated the promise to prod...
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05/09/2021
Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge
Although significant progress in automatic learning of steganographic co...
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05/01/2021
Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts
Ethereum holds multiple billions of U.S. dollars in the form of Ether cr...
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04/21/2021
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Recently, the witness of the rapidly growing popularity of short videos ...
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03/06/2021
Causal Reinforcement Learning: An Instrumental Variable Approach
In the standard data analysis framework, data is first collected (once f...
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02/18/2021
Truncation-Free Matching System for Display Advertising at Alibaba
Matching module plays a critical role in display advertising systems. Wi...
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12/28/2020
Joint Intensity-Gradient Guided Generative Modeling for Colorization
This paper proposes an iterative generative model for solving the automa...
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11/10/2020
Role of Digital Twin in Optical Communication: Fault Management, Hardware Configuration, and Transmission Simulation
Optical communication is developing rapidly in the directions of hardwar...
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08/20/2020
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
For e-commerce platforms such as Taobao and Amazon, advertisers play an ...
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05/09/2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Bipartite b-matching is fundamental in algorithm design, and has been wi...
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02/13/2020
Fast Reinforcement Learning for Anti-jamming Communications
This letter presents a fast reinforcement learning algorithm for anti-ja...
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12/27/2019
URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds
Database platform-as-a-service (dbPaaS) is developing rapidly and a larg...
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11/24/2019
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
No-reference image quality assessment (NR-IQA) has received increasing a...
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08/02/2019
Universal Transforming Geometric Network
The recurrent geometric network (RGN), the first end-to-end differentiab...
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02/25/2019
Channel adversarial training for cross-channel text-independent speaker recognition
The conventional speaker recognition frameworks (e.g., the i-vector and ...
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11/06/2018
Double Adaptive Stochastic Gradient Optimization
Adaptive moment methods have been remarkably successful in deep learning...
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10/16/2018
Security Matters: A Survey on Adversarial Machine Learning
Adversarial machine learning is a fast growing research area, which cons...
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09/08/2018
A Real-time Robotic Grasp Approach with Oriented Anchor Box
Grasp is an essential skill for robots to interact with humans and the e...
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06/25/2018
An SOA Based Design of JUNO DAQ Online Software
The Online Software, manager of the JUNO data acquisition (DAQ) system, ...
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06/12/2018
Reversible Codes and Its Application to Reversible DNA Codes over F_4^k
Coterm polynomials are introduced by Oztas et al. [a novel approach for ...
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03/19/2017
