Cen Chen
Orcid: 0000-0003-0325-1705
According to our database1,
Cen Chen
authored at least 218 papers
between 2014 and 2024.
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Bibliography
2024
Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with Ménière's disease.
BMC Medical Imaging, December, 2024
ACM Trans. Knowl. Discov. Data, August, 2024
Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
Design and multilevel reconstruction method of intelligent power industry control system based on digital twins.
Concurr. Comput. Pract. Exp., July, 2024
IEEE Trans. Circuits Syst. Video Technol., June, 2024
Frontiers Comput. Sci., June, 2024
Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment.
IEEE Trans. Consumer Electron., February, 2024
Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications.
IEEE Trans. Consumer Electron., February, 2024
Neurocomputing, February, 2024
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems.
IEEE Netw., January, 2024
IEEE Internet Things J., January, 2024
MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks.
J. Netw. Comput. Appl., 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization.
CoRR, 2024
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts.
CoRR, 2024
CoRR, 2024
CoRR, 2024
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.
CoRR, 2024
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report).
CoRR, 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.
CoRR, 2024
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task.
CoRR, 2024
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.
CoRR, 2024
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption.
CoRR, 2024
CoRR, 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning.
CoRR, 2024
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens.
CoRR, 2024
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Sentiment Confidence Separation: A Trust-Optimized Framework for Multimodal Sentiment Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
IEEE Trans. Intell. Transp. Syst., August, 2023
Multim. Syst., June, 2023
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
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
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
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
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
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
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
IEEE Trans. Serv. Comput., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
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
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
IEEE Trans. Cybern., 2022
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
IEEE Internet Things J., 2022
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing.
Neurocomputing, 2022
CoRR, 2022
CoRR, 2022
AWFC: Preventing Label Flipping Attacks Towards Federated Learning for Intelligent IoT.
Comput. J., 2022
Proceedings of the IEEE Smartworld, 2022
Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks.
Proceedings of the IEEE Smartworld, 2022
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
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
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
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
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
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
IEEE Trans. Ind. Informatics, 2021
Life-Cycle Dynamic Robust Design Optimization for Batch Production of Permanent Magnet Actuator.
IEEE Trans. Ind. Electron., 2021
J. Intell. Fuzzy Syst., 2021
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities).
Neurocomputing, 2021
CoRR, 2021
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
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021
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
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
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
CoRR, 2020
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020
CoRR, 2020
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
IEEE Access, 2020
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
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
Proceedings of the IEEE International Conference on Image Processing, 2020
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
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proc. VLDB Endow., 2019
Neurocomputing, 2019
Proceedings of the World Wide Web Conference, 2019
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
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
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
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
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
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
Microelectron. Reliab., 2018
Fault localization of a switched mode power supply based on extended integer-coded dictionary method.
Microelectron. Reliab., 2018
Microelectron. Reliab., 2018
IEEE Access, 2018
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
J. Parallel Distributed Comput., 2017
CoRR, 2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge.
CoRR, 2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
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
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Experimental demonstration of heterogeneous cross stratum broker for scientific applications.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016
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
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
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
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
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
2014
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
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