Cen Chen

According to our database1, Cen Chen authored at least 184 papers between 2014 and 2024.

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Bibliography

2024
Accelerating BERT inference with GPU-efficient exit prediction.
Frontiers Comput. Sci., June, 2024

Predicting stock market trends with self-supervised learning.
Neurocomputing, February, 2024

Federated Submodular Maximization With Differential Privacy.
IEEE Internet Things J., January, 2024

Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models.
CoRR, 2024

2023
Model-based quality consistency analysis of permanent magnet synchronous motor cogging torque in wide temperature range.
Qual. Reliab. Eng. Int., December, 2023

Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array.
ACM Trans. Embed. Comput. Syst., November, 2023

Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction.
IEEE J. Sel. Areas Commun., November, 2023

Maximizing the number of completed tasks in MEC considering time and energy constraints.
Soft Comput., October, 2023

Learning discriminative multi-relation representations for multimodal sentiment analysis.
Inf. Sci., September, 2023

Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds.
IEEE Trans. Intell. Transp. Syst., August, 2023

Resizing codebook of vector quantization without retraining.
Multim. Syst., June, 2023

Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment.
IEEE Commun. Stand. Mag., June, 2023

CoRec: An Efficient Internet Behavior-based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks.
ACM Trans. Sens. Networks, May, 2023

DGSLN: Differentiable graph structure learning neural network for robust graph representations.
Inf. Sci., May, 2023

Reliability Analysis Based on a Bivariate Degradation Model Considering Random Initial State and Its Correlation With Degradation Rate.
IEEE Trans. Reliab., March, 2023

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data.
IEEE J. Biomed. Health Informatics, February, 2023

Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing.
J. Parallel Distributed Comput., February, 2023

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference.
CoRR, 2023

FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier.
CoRR, 2023

Flatness-aware Adversarial Attack.
CoRR, 2023

DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion.
CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.
CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.
CoRR, 2023

DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis.
CoRR, 2023

On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.
CoRR, 2023

UPFL: Unsupervised Personalized Federated Learning towards New Clients.
CoRR, 2023

You Can Backdoor Personalized Federated Learning.
CoRR, 2023

SLPerf: a Unified Framework for Benchmarking Split Learning.
CoRR, 2023

Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost.
Proceedings of the ACM Web Conference 2023, 2023

Communication Efficient Federated Learning via Channel-wise Dynamic Pruning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Point Cloud Acceleration by Exploiting Geometric Similarity.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.
Proceedings of the Knowledge Science, Engineering and Management, 2023

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Robustness of Split Learning Against Adversarial Attacks.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Robust Clustered Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2023

Online Efficient Secure Logistic Regression based on Function Secret Sharing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

A Customized Text Sanitization Mechanism with Differential Privacy.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing.
World Wide Web, 2022

Latency-Driven Model Placement for Efficient Edge Intelligence Service.
IEEE Trans. Serv. Comput., 2022

Hierarchical Semantic Graph Reasoning for Train Component Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting.
ACM Trans. Knowl. Discov. Data, 2022

Multi-Task Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
IEEE Trans. Intell. Transp. Syst., 2022

Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
ACM Trans. Intell. Syst. Technol., 2022

Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning.
IEEE Trans. Ind. Informatics, 2022

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things.
IEEE Trans. Ind. Informatics, 2022

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning.
IEEE Trans. Cybern., 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
IEEE Trans. Cybern., 2022

Hierarchical Graph Neural Networks for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process.
Reliab. Eng. Syst. Saf., 2022

A new class of multi-stress acceleration models with interaction effects and its extension to accelerated degradation modelling.
Reliab. Eng. Syst. Saf., 2022

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices.
IEEE Internet Things J., 2022

Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing.
Neurocomputing, 2022

Enhanced gradient learning for deep neural networks.
IET Image Process., 2022

Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning.
CoRR, 2022

MaskBlock: Transferable Adversarial Examples with Bayes Approach.
CoRR, 2022

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons.
CoRR, 2022

A Customised Text Privatisation Mechanism with Differential Privacy.
CoRR, 2022

AWFC: Preventing Label Flipping Attacks Towards Federated Learning for Intelligent IoT.
Comput. J., 2022

Contrastive R-CNN for Incremental Learning in Object Detection.
Proceedings of the IEEE Smartworld, 2022

Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks.
Proceedings of the IEEE Smartworld, 2022

Understanding Long Programming Languages with Structure-Aware Sparse Attention.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Backdoor Defense with Machine Unlearning.
Proceedings of the IEEE INFOCOM 2022, 2022

Iterative Contrastive Learning for Single Image Raindrop Removal.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Development of Multi-modal Physiological Signals Acquisition Platform and Its Application in Emotional Recognition Based on a Small Number of Samples.
Proceedings of the ICDSP 2022: 6th International Conference on Digital Signal Processing, Chengdu, China, February 25, 2022

Intelligent IoT Terminal Software Identification System Based on Behavior Features.
Proceedings of the Big Data and Security - 4th International Conference, 2022

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack.
Proceedings of the IEEE International Conference on Acoustics, 2022

ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination.
Proceedings of the Database Systems for Advanced Applications, 2022

TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022

Security hardening solution for docker container.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2022

Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning to Generalize in Heterogeneous Federated Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks.
IEEE Wirel. Commun., 2021

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation.
IEEE J. Biomed. Health Informatics, 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

Life-Cycle Dynamic Robust Design Optimization for Batch Production of Permanent Magnet Actuator.
IEEE Trans. Ind. Electron., 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

Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities).
Neurocomputing, 2021

Practical and Light-weight Secure Aggregation for Federated Submodel Learning.
CoRR, 2021

Contrast R-CNN for Continual Learning in Object Detection.
CoRR, 2021

Privacy Threats Analysis to Secure Federated Learning.
CoRR, 2021

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

Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Systematic Analysis of Circular Artifacts for Stylegan.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Privacy-Preserving Optimal Insulin Dosing Decision.
Proceedings of the IEEE International Conference on Acoustics, 2021

An Excitation Method for Fault Diagnosis of DC-AC Converter Based on Simulation.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 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

DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Reinforced History Backtracking for Conversational Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Street Sign Recognition Algorithm Based on Deep Learning.
Proceedings of the ICIGP 2020: 3rd International Conference on Image and Graphics 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 (IEEE BigData), 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
OpenFlow-Assisted Online Defragmentation in Single-/Multi-Domain Software-Defined Elastic Optical Networks [Invited].
JOCN, 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-broker based market-driven service provisioning in multi-domain SD-EONs in nuncooperative game scenarios.
Proceedings of the European Conference on Optical Communication, 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

Demonstration of OpenFlow-controlled cooperative resource allocation in a multi-domain SD-EON testbed across multiple nations.
Proceedings of the European Conference on Optical Communication, 2014


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