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ORCIDCen Chen 0002
Person information
- affiliation: South China University of Technology, School of Future Technology, Guangdong, China
- affiliation: A*STAR, Agency for Science, Technology and Research, Singapore
- affiliation (PhD 2019): Hunan University, Department of computer science, Institute of Infocomm Research, Changsha, China
Other persons with the same name
- Cen Chen — disambiguation page
- Cen Chen 0001
![[0000-0003-0325-1705]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0325-1705")
— East China Normal University, China (and 2 more) - Cen Chen 0003 — Harbin Institute of Technology, Department of Electric Engineering and Automation, China
- Cen Chen 0004 — State Grid Henan Electric Power Research Institute, Energy Internet Technology Research Center, Zhengzhou, China
- Cen Chen 0005 — University of Science and Technology of China, USTC, School of Information Science and Technology, Hefei, Anhui, China
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2020 – today
- 2026
[c32]Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng:
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. AAAI 2026: 34259-34267- 2025
- [j50]Jing Liu, Yuting Huang, Chunhua Deng, Longxin Zhang, Cen Chen, Keqin Li:
Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network. J. Grid Comput. 23(1): 4 (2025) - [j49]Chengxu Liu, Yangfan Li, Cen Chen, Hailan Kuang, Xiaolin Ma, Xiaofeng Zou, Jing Liu, Zeyu Lu, Zhaoyuan Zhang, Xinhua Liu:
An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks. IEEE Internet Things J. 12(13): 22746-22757 (2025) - [j48]Qinyu Wang, Xiaofeng Zou, Chuang Li, Yujie Peng, Heshi Wang, Yanhua Wen, Minaer Yeerlan, Cen Chen:
CST-ViT: Cascaded Spatio-Temporal Redundancy Elimination for Efficient Vision Transformers on Edge IoT Devices. IEEE Internet Things J. 12(18): 38857-38871 (2025) - [j47]Run He, Di Fang, Yizhu Chen, Kai Tong, Cen Chen, Yi Wang, Lap-Pui Chau, Huiping Zhuang:
REAL: Representation enhanced analytic learning for exemplar-free class-incremental learning. Knowl. Based Syst. 332: 114901 (2025) - [j46]Xiaofeng Zou, Cen Chen, Hongen Shao, Qinyu Wang, Xiaobin Zhuang, Yangfan Li, Keqin Li:
ReViT: Vision Transformer Accelerator With Reconfigurable Semantic-Aware Differential Attention. IEEE Trans. Computers 74(3): 1079-1093 (2025) - [j45]Yangfan Li, Mengquan Li, Cen Chen, Xiaofeng Zou, Hongen Shao, Fengxiao Tang, Kenli Li:
SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 568-581 (2025) - [j44]Xiaofeng Zou, Cen Chen, Luochuan Zhang, Shengyang Li, Joey Tianyi Zhou, Wei Wei, Kenli Li:
Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 889-903 (2025) - [j43]Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen:
Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task. IEEE Trans. Veh. Technol. 74(2): 1949-1958 (2025) - [c31]Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen:
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. ACL (1) 2025: 10821-10855 - [c30]Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan:
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. ACL (1) 2025: 11293-11311 - [c29]Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng:
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. ACL (1) 2025: 24894-24913 - [c28]Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng:
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. EMNLP 2025: 4479-4500 - [c27]Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang:
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. ICML 2025 - [c26]Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang:
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. ICML 2025 - [c25]Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li:
GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. IJCAI 2025: 6182-6190 - [c24]Yufei Zhang, Yicheng Xu, Hongxin Wei, Zhiping Lin, Xiaofeng Zou, Cen Chen, Huiping Zhuang:
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption. ACM Multimedia 2025: 1929-1937 - [i22]Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng:
SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. CoRR abs/2502.12562 (2025) - [i21]Jianwei Wang, Junyao Yang, Haoran Li, Huiping Zhuang, Cen Chen, Ziqian Zeng:
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. CoRR abs/2502.18517 (2025) - [i20]Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang:
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. CoRR abs/2503.05423 (2025) - [i19]Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang:
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. CoRR abs/2506.00816 (2025) - [i18]Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng:
Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints. CoRR abs/2506.02683 (2025) - [i17]Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li:
GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition. CoRR abs/2506.12325 (2025) - [i16]Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng:
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. CoRR abs/2508.03140 (2025) - [i15]Weikai Lu, Ziqian Zeng, Kehua Zhang, Haoran Li, Huiping Zhuang, Ruidong Wang, Cen Chen, Hao Peng:
ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior. CoRR abs/2512.05745 (2025) - [i14]Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen:
MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. CoRR abs/2512.19206 (2025) - 2024
- [j42]Wei Wei, Sijin Chen, Cen Chen, Heshi Wang, Jing Liu, Zhongyao Cheng, Xiaofeng Zou:
HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection. Sci. China Inf. Sci. 67(7) (2024) - [j41]Cen Chen, Yangfan Li, Qinyu Wang, Xulei Yang, Xiaokang Wang, Laurence T. Yang:
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems. IEEE Netw. 38(1): 172-179 (2024) - [j40]Chuang Li, Yujie Peng, Gang Liu, Yangfan Li, Xulei Yang, Cen Chen:
Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment. IEEE Trans. Consumer Electron. 70(1): 1029-1039 (2024) - [j39]Cen Chen, Songyu Xie, Jing Liu, Zhongyao Cheng, Ziqian Zeng, Huiping Zhuang:
Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications. IEEE Trans. Consumer Electron. 70(1): 4108-4119 (2024) - [j38]Hui Luo, Zhuangwei Zhuang, Yuanqing Li, Mingkui Tan, Cen Chen, Jianlin Zhang:
Toward Compact and Robust Model Learning Under Dynamically Perturbed Environments. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4857-4873 (2024) - [j37]Xiaofeng Zou, Cen Chen, Peiying Lin, Luochuan Zhang, Yanwu Xu, Wenjie Zhang:
Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2962-2973 (2024) - [c23]Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin:
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. AAAI 2024: 17237-17244 - [c22]Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen:
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. AAAI 2024: 19506-19514 - [c21]Sijin Chen, Jing Liu, Cen Chen, Songyu Xie, Zhongyao Cheng:
Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations. ISPA 2024: 1197-1202 - [c20]Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen:
GACL: Exemplar-Free Generalized Analytic Continual Learning. NeurIPS 2024 - [c19]Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau:
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning. NeurIPS 2024 - [i13]Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Cen Chen:
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens. CoRR abs/2402.15758 (2024) - [i12]Run He, Huiping Zhuang, Di Fang, Yizhu Chen, Kai Tong, Cen Chen:
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning. CoRR abs/2403.13522 (2024) - [i11]Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen:
G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning. CoRR abs/2403.15706 (2024) - [i10]Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau:
AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption. CoRR abs/2403.15751 (2024) - [i9]Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin:
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. CoRR abs/2403.17503 (2024) - [i8]Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen:
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. CoRR abs/2404.05880 (2024) - [i7]Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen:
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task. CoRR abs/2405.17779 (2024) - [i6]Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen:
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. CoRR abs/2406.01394 (2024) - [i5]Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan:
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. CoRR abs/2406.13925 (2024) - [i4]Di Fang, Yinan Zhu, Runze Fang, Cen Chen, Ziqian Zeng, Huiping Zhuang:
AIR: Analytic Imbalance Rectifier for Continual Learning. CoRR abs/2408.10349 (2024) - 2023
- [j36]Xiaofeng Zou, Kenli Li, Joey Tianyi Zhou, Wei Wei, Cen Chen:
Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment. IEEE Commun. Stand. Mag. 7(2): 64-70 (2023) - [j35]Xiaofeng Zou, Kenli Li, Cen Chen, Xulei Yang, Wei Wei, Keqin Li:
DGSLN: Differentiable graph structure learning neural network for robust graph representations. Inf. Sci. 626: 94-113 (2023) - [j34]Zemin Tang, Qi Xiao, Xu Zhou, Yangfan Li, Cen Chen, Kenli Li:
Learning discriminative multi-relation representations for multimodal sentiment analysis. Inf. Sci. 641: 119125 (2023) - [j33]Jing Liu, Pei Yang, Cen Chen:
Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing. J. Parallel Distributed Comput. 172: 84-96 (2023) - [j32]Mi Li, Cen Chen, Xulei Yang, Joey Tianyi Zhou, Tao Zhang, Yangfan Li:
Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. IEEE J. Sel. Areas Commun. 41(11): 3624-3635 (2023) - [j31]Haijian Yu, Jing Liu, Chunhua Deng, Cen Chen, Keqin Li:
Maximizing the number of completed tasks in MEC considering time and energy constraints. Soft Comput. 27(20): 15095-15110 (2023) - [j30]Wenhua Ye, Xu Zhou, Joey Zhou, Cen Chen, Kenli Li:
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array. ACM Trans. Embed. Comput. Syst. 22(6): 93:1-93:22 (2023) - [j29]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [j28]Yangfan Li, Cen Chen, Weiquan Yan, Zhongyao Cheng, Hui Li Tan, Wenjie Zhang:
Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds. IEEE Trans. Intell. Transp. Syst. 24(8): 8788-8798 (2023) - [j27]Yangfan Li, Kenli Li, Wei Wei, Tianyi Zhou, Cen Chen:
CoRec: An Efficient Internet Behavior-based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks. ACM Trans. Sens. Networks 19(2): 24:1-24:28 (2023) - [c18]Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan:
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. ICCV 2023: 18367-18376 - [c17]Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang:
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP 2023: 1990-1994 - [c16]Songyu Xie, Jing Liu, Cen Chen, Zhongyao Cheng:
Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. ICPADS 2023: 826-831 - [c15]Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li:
Point Cloud Acceleration by Exploiting Geometric Similarity. MICRO 2023: 1135-1147 - [i3]Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan:
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. CoRR abs/2307.10316 (2023) - [i2]Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen:
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. CoRR abs/2312.11882 (2023) - 2022
- [j26]Zeng Zeng, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Joey Tianyi Zhou:
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. Neurocomputing 472: 149-151 (2022) - [j25]Cen Chen, Kenli Li, Wei Wei, Joey Tianyi Zhou, Zeng Zeng:
Hierarchical Graph Neural Networks for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 240-252 (2022) - [j24]Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi:
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. 52(2): 1233-1246 (2022) - [j23]Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan:
Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. IEEE Trans. Cybern. 52(12): 13458-13471 (2022) - [j22]Xiaofeng Zou, Kenli Li, Cen Chen:
Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning. IEEE Trans. Ind. Informatics 18(1): 448-456 (2022) - [j21]Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng:
Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics 18(5): 3349-3357 (2022) - [j20]Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng:
A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. 23(4): 3268-3280 (2022) - [j19]Xiaofeng Zou, Kenli Li, Yangfan Li, Wei Wei, Cen Chen:
Multi-Task Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(7): 9568-9579 (2022) - [j18]Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li:
Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. ACM Trans. Knowl. Discov. Data 16(1): 14:1-14:22 (2022) - [j17]Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian, Zeng Zeng:
Hierarchical Semantic Graph Reasoning for Train Component Detection. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4502-4514 (2022) - [j16]Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li:
Latency-Driven Model Placement for Efficient Edge Intelligence Service. IEEE Trans. Serv. Comput. 15(2): 591-601 (2022) - [j15]Chigang Xing, Yangfan Li, Cen Chen, Fangmin Li, Zeng Zeng, Xiaofeng Zou:
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing. World Wide Web 25(5): 2215-2239 (2022) - [c14]Cen Chen, Kenli Li, Yangfan Li, Xiaofeng Zou:
ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator. HPCA 2022: 429-443 - [c13]Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li:
Latency-driven Model Placement for Efficient Edge Intelligence Service. SERVICES 2022: 15 - [c12]Peisheng Qian, Kai Zheng, Cen Chen, Zhongyao Cheng, Li Wang, Hui Li Tan:
Contrastive R-CNN for Incremental Learning in Object Detection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 557-563 - [c11]Yuxuan Chen, Yilong Guo, Zeng Zeng, Xiaofeng Zou, Yangfan Li, Cen Chen:
Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 961-968 - 2021
- [j14]Kenli Li, Keqin Li, Cen Chen, Xiaokang Wang:
Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities). Neurocomputing 444: 67-68 (2021) - [j13]Yibi Chen, Xiaofeng Zou, Kenli Li, Keqin Li, Xulei Yang, Cen Chen:
Multiple local 3D CNNs for region-based prediction in smart cities. Inf. Sci. 542: 476-491 (2021) - [j12]Liping Li, Zean Tian, Kenli Li, Cen Chen:
G-CNN and double-referenced thresholding for detecting time series anomalies. J. Intell. Fuzzy Syst. 40(3): 3969-3980 (2021) - [j11]Yangfan Li, Cen Chen, Mingxing Duan, Zeng Zeng, Kenli Li:
Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. IEEE Trans. Ind. Informatics 17(4): 2890-2898 (2021) - [c10]Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li:
DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. DAC 2021: 1201-1206 - [c9]Peiying Lin, Kenli Li, Zheng Xiao, Cen Chen, Siyang Yu:
Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification. RTAS 2021: 497-500 - [c8]Minjia Li, Yikun Hu, Cen Chen, Zheng Xiao, Chubo Liu, Kenli Li:
Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds. RTAS 2021: 501-504 - 2020
- [j10]Xiao Fu, Kenli Li, Jing Liu, Keqin Li, Zeng Zeng, Cen Chen:
A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. Neurocomputing 380: 212-224 (2020) - [j9]Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao:
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7(11): 10773-10781 (2020) - [j8]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. Inf. Sci. 540: 117-130 (2020) - [j7]Xiaofeng Zou, Liqian Zhou, Kenli Li, Aijia Ouyang, Cen Chen:
Multi-task cascade deep convolutional neural networks for large-scale commodity recognition. Neural Comput. Appl. 32(10): 5633-5647 (2020) - [j6]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng:
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data 14(4): 42:1-42:23 (2020) - [c7]Pei Yang, Jing Liu, Cen Chen, Yucheng Ding, Chunhua Deng, Zeng Zeng:
An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. HPCC/DSS/SmartCity 2020: 519-524 - [i1]Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng:
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection. CoRR abs/2006.01045 (2020)
2010 – 2019
- 2019
- [j5]Kang Wang, Kenli Li, Liqian Zhou, Yikun Hu, Zhongyao Cheng, Jing Liu, Cen Chen:
Multiple convolutional neural networks for multivariate time series prediction. Neurocomputing 360: 107-119 (2019) - [c6]Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng:
Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI 2019: 485-492 - [c5]Chengxi Liu, Kenli Li, Jing Liu, Cen Chen:
LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks. HPCC/SmartCity/DSS 2019: 2324-2332 - 2018
- [j4]Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li:
FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Computers 67(12): 1765-1779 (2018) - [j3]Cen Chen, Kenli Li, Aijia Ouyang, Zeng Zeng, Keqin Li:
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Parallel Distributed Syst. 29(6): 1275-1288 (2018) - [c4]Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, Xulei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng:
Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM 2018: 893-898 - 2017
- [j2]Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li:
A parallel approximate SS-ELM algorithm based on MapReduce for large-scale datasets. J. Parallel Distributed Comput. 108: 85-94 (2017) - [j1]Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li:
GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2740-2753 (2017) - [c3]Wei Ai, Kenli Li, Cen Chen, Jiwu Peng, Keqin Li:
DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. ICDCS 2017: 2372-2379 - [c2]Tongwu Dai, Kenli Li, Cen Chen:
A parallel randomized neural network on in-memory cluster computing for big data. ICNC-FSKD 2017: 1769-1778 - 2016
- [c1]Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li:
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. ICPP 2016: 542-551
Coauthor Index
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load citations from opencitations.net
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OpenAlex data
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.
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last updated on 2026-03-24 23:35 CET by the dblp team
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