Cen Chen
Orcid: 0000-0003-1389-0148Affiliations:
- South China University of Technology, School of Future Technology, Guangdong, China
- A*STAR, Agency for Science, Technology and Research, Singapore
- Hunan University, Department of computer science, Institute of Infocomm Research, Changsha, China (PhD 2019)
According to our database1,
Cen Chen
authored at least 87 papers
between 2016 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior.
CoRR, August, 2025
An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks.
IEEE Internet Things J., July, 2025
GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition.
CoRR, June, 2025
Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints.
CoRR, June, 2025
CoRR, June, 2025
ReViT: Vision Transformer Accelerator With Reconfigurable Semantic-Aware Differential Attention.
IEEE Trans. Computers, March, 2025
Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network.
J. Grid Comput., March, 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.
CoRR, March, 2025
Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task.
IEEE Trans. Veh. Technol., February, 2025
Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2025
SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2025
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis.
CoRR, February, 2025
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
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
IEEE Trans. Circuits Syst. Video Technol., 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
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems.
IEEE Netw., January, 2024
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.
CoRR, 2024
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.
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
HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection.
Sci. China Inf. Sci., 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 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
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
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
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
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 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
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
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
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing.
Neurocomputing, 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 IEEE International Symposium on High-Performance Computer Architecture, 2022
2021
IEEE Trans. Ind. Informatics, 2021
J. Intell. Fuzzy Syst., 2021
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities).
Neurocomputing, 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
DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 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
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
2019
Neurocomputing, 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 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
FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data.
IEEE Trans. Computers, 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
J. Parallel Distributed Comput., 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
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