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Cen Chen
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2020 – today
- 2024
- [j75]Kaijun Xia, Ping Lei, Yingzhao Liu, Cen Chen, Hui Pan, Yangming Leng, Bo Liu:
Comparison of vestibular aqueduct visualization on computed tomography and magnetic resonance imaging in patients with Ménière's disease. BMC Medical Imaging 24(1): 93 (2024) - [j74]Cen Chen, Zhuo Lv, Nuannuan Li, Tao Zhang, Zheng Zhang, Hao Chang:
Design and multilevel reconstruction method of intelligent power industry control system based on digital twins. Concurr. Comput. Pract. Exp. 36(16) (2024) - [j73]Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18(3): 183308 (2024) - [j72]Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang:
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [j71]Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang:
Federated Submodular Maximization With Differential Privacy. IEEE Internet Things J. 11(2): 1827-1839 (2024) - [j70]Yingya Guo, Mingjie Ding, Weihong Zhou, Bin Lin, Cen Chen, Huan Luo:
MATE: A multi-agent reinforcement learning approach for Traffic Engineering in Hybrid Software Defined Networks. J. Netw. Comput. Appl. 231: 103981 (2024) - [j69]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) - [j68]Zhuan Shi, Lan Zhang, Zhenyu Yao, Lingjuan Lyu, Cen Chen, Li Wang, Junhao Wang, Xiang-Yang Li:
FedFAIM: A Model Performance-Based Fair Incentive Mechanism for Federated Learning. IEEE Trans. Big Data 10(6): 1038-1050 (2024) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 166 (2024) - [c105]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 - [c104]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 - [c103]Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou:
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM 2024: 1920-1929 - [c102]Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou:
LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM 2024: 3463-3473 - [c101]Huimin Chen, Chengyu Wang, Yanhao Wang, Cen Chen, Yinggui Wang:
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences. LREC/COLING 2024: 15542-15551 - [c100]Wei Huang, Yinggui Wang, Cen Chen:
Privacy Evaluation Benchmarks for NLP Models. EMNLP (Findings) 2024: 2615-2636 - [c99]Zemin Tang, Min Shi, Zhibang Yang, Xu Zhou, Cen Chen, Joey Tianyi Zhou:
Sentiment Confidence Separation: A Trust-Optimized Framework for Multimodal Sentiment Classification. ICME 2024: 1-6 - [c98]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. IJCAI 2024: 7645-7653 - [c97]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. IV 2024: 521-526 - [c96]Yiping Wang, Yanhao Wang, Cen Chen:
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. KDD 2024: 3255-3266 - [c95]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. ECML/PKDD (10) 2024: 332-347 - [c94]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. SDM 2024: 688-696 - [c93]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM 2024: 851-859 - [c92]Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198 - [i64]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang:
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models. CoRR abs/2401.16224 (2024) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]Yiping Wang, Yanhao Wang, Cen Chen:
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report). CoRR abs/2406.07953 (2024) - [i54]Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James Foulds, Shimei Pan:
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. CoRR abs/2406.13925 (2024) - [i53]Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian:
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR abs/2406.14130 (2024) - [i52]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. CoRR abs/2407.00995 (2024) - [i51]Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu:
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images. CoRR abs/2407.11073 (2024) - [i50]Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li:
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR abs/2408.01014 (2024) - [i49]Di Fang, Yinan Zhu, Runze Fang, Cen Chen, Ziqian Zeng, Huiping Zhuang:
AIR: Analytic Imbalance Rectifier for Continual Learning. CoRR abs/2408.10349 (2024) - [i48]Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan, Yanhao Wang:
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization. CoRR abs/2409.00116 (2024) - [i47]Wei Huang, Yinggui Wang, Cen Chen:
Privacy Evaluation Benchmarks for NLP Models. CoRR abs/2409.15868 (2024) - 2023
- [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023) - [j56]Cen Chen, Chengzhi Sun, Liqin Wu, Xuerong Ye, Guofu Zhai:
Model-based quality consistency analysis of permanent magnet synchronous motor cogging torque in wide temperature range. Qual. Reliab. Eng. Int. 39(8): 3502-3517 (2023) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]Bokai Zheng, Cen Chen, Yigang Lin, Xuerong Ye, Guofu Zhai:
Reliability Analysis Based on a Bivariate Degradation Model Considering Random Initial State and Its Correlation With Degradation Rate. IEEE Trans. Reliab. 72(1): 37-48 (2023) - [c91]Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang:
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) 2023: 295-304 - [c90]Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian-Yun Nie, Chengyu Wang, Jamie Cui:
A Customized Text Sanitization Mechanism with Differential Privacy. ACL (Findings) 2023: 5747-5758 - [c89]Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian:
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) 2023: 6368-6376 - [c88]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CIKM 2023: 463-472 - [c87]Jing Liu, Jamie Cui, Cen Chen:
Online Efficient Secure Logistic Regression based on Function Secret Sharing. CIKM 2023: 1597-1606 - [c86]Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM 2023: 3828-3832 - [c85]Tiandi Ye, Senhui Wei, Jamie Cui, Cen Chen, Yingnan Fu, Ming Gao:
Robust Clustered Federated Learning. DASFAA (1) 2023: 677-692 - [c84]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. ECAI 2023: 668-675 - [c83]Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen:
DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. EMNLP (Findings) 2023: 1226-1235 - [c82]Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP 2023: 15663-15676 - [c81]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 - [c80]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 - [c79]Songyu Xie, Jing Liu, Cen Chen, Zhongyao Cheng:
Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. ICPADS 2023: 826-831 - [c78]Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) 2023: 106-119 - [c77]Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li:
Point Cloud Acceleration by Exploiting Geometric Similarity. MICRO 2023: 1135-1147 - [c76]Bo Tao, Cen Chen, Huimin Chen:
Communication Efficient Federated Learning via Channel-wise Dynamic Pruning. WCNC 2023: 1-6 - [c75]Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian:
Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. WWW 2023: 3257-3267 - [i46]Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen:
SLPerf: a Unified Framework for Benchmarking Split Learning. CoRR abs/2304.01502 (2023) - [i45]Zhongjie Duan, Chengyu Wang, Cen Chen, Jun Huang, Weining Qian:
Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models. CoRR abs/2305.14677 (2023) - [i44]Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning against Adversarial Attacks. CoRR abs/2307.07916 (2023) - [i43]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) - [i42]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
You Can Backdoor Personalized Federated Learning. CoRR abs/2307.15971 (2023) - [i41]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR abs/2307.15994 (2023) - [i40]Mingyuan Fan, Cen Chen, Chengyu Wang, Jun Huang:
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Comprehensive Survey. CoRR abs/2307.16680 (2023) - [i39]Zhongjie Duan, Lizhou You, Chengyu Wang, Cen Chen, Ziheng Wu, Weining Qian, Jun Huang:
DiffSynth: Latent In-Iteration Deflickering for Realistic Video Synthesis. CoRR abs/2308.03463 (2023) - [i38]Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou:
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR abs/2308.15010 (2023) - [i37]Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang:
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR abs/2309.05534 (2023) - [i36]Jing Liu, Jamie Cui, Cen Chen:
Online Efficient Secure Logistic Regression based on Function Secret Sharing. CoRR abs/2309.09486 (2023) - [i35]Zhenzhen Chu, Jiayu Chen, Cen Chen, Chengyu Wang, Ziheng Wu, Jun Huang, Weining Qian:
DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion. CoRR abs/2309.12424 (2023) - [i34]Mingyuan Fan, Xiaodan Li, Cen Chen, Yinggui Wang:
Flatness-aware Adversarial Attack. CoRR abs/2311.06423 (2023) - [i33]Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR abs/2311.06761 (2023) - [i32]Zhongjie Duan, Chengyu Wang, Cen Chen, Weining Qian, Jun Huang, Mingyi Jin:
FastBlend: a Powerful Model-Free Toolkit Making Video Stylization Easier. CoRR abs/2311.09265 (2023) - [i31]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
- [j49]Zhuo Lv, Hongbo Cao, Feng Zhang, Yuange Ren, Bin Wang, Cen Chen, Nuannuan Li, Hao Chang, Wei Wang:
AWFC: Preventing Label Flipping Attacks Towards Federated Learning for Intelligent IoT. Comput. J. 65(11): 2849-2859 (2022) - [j48]Ming Yan, Jianxi Yang, Cen Chen, Joey Tianyi Zhou, Yi Pan, Zeng Zeng:
Enhanced gradient learning for deep neural networks. IET Image Process. 16(2): 365-377 (2022) - [j47]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) - [j46]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu:
Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. 9(18): 17002-17013 (2022) - [j45]Bokai Zheng, Cen Chen, Yigang Lin, Yifan Hu, Xuerong Ye, Guofu Zhai, Enrico Zio:
Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process. Reliab. Eng. Syst. Saf. 217: 108087 (2022) - [j44]Xuerong Ye, Yifan Hu, Bokai Zheng, Cen Chen, Guofu Zhai:
A new class of multi-stress acceleration models with interaction effects and its extension to accelerated degradation modelling. Reliab. Eng. Syst. Saf. 228: 108815 (2022) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13(4): 53:1-53:21 (2022) - [j37]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) - [j36]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) - [j35]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) - [j34]Cen Chen