Cen Chen

According to our database1, Cen Chen authored at least 83 papers between 2014 and 2021.

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Bibliography

2021
An Adaptive Optimized TVF-EMD Based on a Sparsity-Impact Measure Index for Bearing Incipient Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021

Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things.
IEEE Trans. Ind. Informatics, 2021

G-CNN and double-referenced thresholding for detecting time series anomalies.
J. Intell. Fuzzy Syst., 2021

Multiple local 3D CNNs for region-based prediction in smart cities.
Inf. Sci., 2021

DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation.
CoRR, 2021

Soft Fault Diagnosis Using URV-LDA Transformed Feature Dictionary.
IEEE Access, 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering.
Proceedings of the Advances in Information Retrieval, 2021

CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks.
ACM Trans. Knowl. Discov. Data, 2020

Multi-task cascade deep convolutional neural networks for large-scale commodity recognition.
Neural Comput. Appl., 2020

A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection.
Inf. Sci., 2020

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.
IEEE Internet Things J., 2020

A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks.
Neurocomputing, 2020

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations.
CoRR, 2020

Improving Federated Relational Data Modeling via Basis Alignment and Weight Penalty.
CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020

A Theoretical Perspective on Differentially Private Federated Multi-task Learning.
CoRR, 2020

Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy.
CoRR, 2020

A Comprehensive Analysis of Information Leakage in Deep Transfer Learning.
CoRR, 2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization.
CoRR, 2020

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
CoRR, 2020

ID Preserving Face Super-Resolution Generative Adversarial Networks.
IEEE Access, 2020

Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Open-Retrieval Conversational Question Answering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation.
Proceedings of the IEEE International Conference on Image Processing, 2020

An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
Proc. VLDB Endow., 2019

Multiple convolutional neural networks for multivariate time series prediction.
Neurocomputing, 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.
Proceedings of the World Wide Web Conference, 2019

Reinforcement Learning for User Intent Prediction in Customer Service Bots.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Novel Approach for Traffic Anomaly Detection in Power Distributed Control System and Substation System.
Proceedings of the Network and System Security - 13th International Conference, 2019

AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Attentive History Selection for Conversational Question Answering.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data.
IEEE Trans. Parallel Distributed Syst., 2018

Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement.
ACM Trans. Intell. Syst. Technol., 2018

FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data.
IEEE Trans. Computers, 2018

The threshold voltage degradation model of N Channel VDMOSFETs under PBT stress.
Microelectron. Reliab., 2018

Fault localization of a switched mode power supply based on extended integer-coded dictionary method.
Microelectron. Reliab., 2018

VDMOSFET HEF degradation modelling considering turn-around phenomenon.
Microelectron. Reliab., 2018

Review Helpfulness Prediction with Embedding-Gated CNN.
CoRR, 2018

A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests.
IEEE Access, 2018

A Local Online Learning Approach for Non-linear Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Protocol Oblivious Forwarding (POF): Software-Defined Networking with Enhanced Programmability.
IEEE Netw., 2017

A parallel approximate SS-ELM algorithm based on MapReduce for large-scale datasets.
J. Parallel Distributed Comput., 2017

PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI).
CoRR, 2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge.
CoRR, 2017

Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

A parallel randomized neural network on in-memory cluster computing for big data.
Proceedings of the 13th International Conference on Natural Computation, 2017

DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Aspect Extraction from Product Reviews Using Category Hierarchy Information.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Tackling Large-Scale Home Health Care Delivery Problem with Uncertainty.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Scalable Approaches to Home Health Care Scheduling Problems with Uncertainty.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Aspect-Based Helpfulness Prediction for Online Product Reviews.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by GPUs for big data.
Proceedings of the 12th International Conference on Natural Computation, 2016

TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015
Space-Time Aware Behavioral Topic Modeling for Microblog Posts.
IEEE Data Eng. Bull., 2015

Field trial of broker-based multi-domain software-defined heterogeneous wireline-wireless-optical networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2015

Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Design and Demonstration of SDN-Based Flexible Flow Converging with Protocol-Oblivious Forwarding (POF).
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Multi-agent orienteering problem with time-dependent capacity constraints.
Web Intell. Agent Syst., 2014

Implementation and Demonstration of Revenue-Driven Provisioning for Advance Reservation Requests in OpenFlow-Controlled SD-EONs.
IEEE Commun. Lett., 2014

Demonstration of online spectrum defragmentation enabled by OpenFlow in software-defined elastic optical networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2014

TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014


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