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Cen 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
— 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
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